Publications

        Journals

1. R. Kumarasami et al., “A technology platform for standardized cryoprotection and freezing of large-volume brain tissues for high-resolution histology,” Front. Neuroanat., vol. 17, 2023, doi: 10.3389/fnana.2023.1292655.

2. S. Ramanarayanan, M. Fahim, R. Gs, A. Jethi, K. Ram, and M. Sivaprakasam, “HyperCoil-Recon: A Hypernetwork-based Adaptive Coil Configuration Task Switching Network for MRI Reconstruction.” 2023.

3. L. Scalise, L. Lombardo, and M. Sivaprakasam, “Guest Editorial Special Section on IEEE MeMeA 2022 Metrological Point of View in Medical Measurements,” IEEE Trans. Instrum. Meas., vol. 72, 2023, doi: 10.1109/TIM.2023.3303058.

4. S. Ramanarayanan, B. Murugesan, A. Palla, K. Ram, R. Venkatesan, and M. Sivaprakasam, “MCI-HyperNet: A multiple contextual information-based adaptive weight learning network for controllable image reconstruction,” Neurocomputing, vol. 554, 2023, doi: 10.1016/j.neucom.2023.126606.

5. R. I. James et al., “A Standardized Protocol for the Safe Retrieval of Infectious Postmortem Human Brain for Studying Whole-Brain Pathology,” Am. J. Forensic Med. Pathol., vol. 44, no. 4, pp. 303 – 310, 2023, doi: 10.1097/PAF.0000000000000871.

6. V. Balakarthikeyan, R. Jais, S. Vijayarangan, P. Sreelatha Premkumar, and M. Sivaprakasam, “Heart Rate Variability Based Estimation of Maximal Oxygen Uptake in Athletes Using Supervised Regression Models,” Sensors, vol. 23, no. 6, 2023, doi: 10.3390/s23063251.

7. N. Ravichandran, P. Sreelatha Premkumar, and M. Sivaprakasam, “Methodological Considerations for Assessing Automatic Brightness Control in Endoscopy: Experimental Study,” Sensors, vol. 23, no. 10, 2023, doi: 10.3390/s23104932.

8. S. Mulay, K. Ram, and M. Sivaprakasam, “Attention adaptive instance normalization style transfer for vascular segmentation using deep learning,” Appl. Intell., 2023, doi: 10.1007/s10489-023-05033-1.

9. S. John, S. Srinivasan, K. Ram, M. Sivaprakasam, and S. Natarajan, “Efficacy of an Automated Algorithm for Screening Diabetic Retinopathy in Gradable and Ungradable Images in Real-Time Conditions,” Telemed. e-Health, vol. 29, no. 6, pp. 896 – 902, 2023, doi: 10.1089/tmj.2022.0113.

10. S. Karthik et al., “Wide field block face imaging using deep ultraviolet induced autofluorescence of the human brain,” J. Neurosci. Methods, vol. 397, 2023, doi: 10.1016/j.jneumeth.2023.109921.

11. S. Ramanarayanan, A. Palla, K. Ram, and M. Sivaprakasam, “Generalizing supervised deep learning MRI reconstruction to multiple and unseen contrasts using meta-learning hypernetworks,” Appl. Soft Comput., vol. 146, 2023, doi: 10.1016/j.asoc.2023.110633.

12. K. S. Rathore, S. Vijayarangan, P. SP, and M. Sivaprakasam, “A Multifunctional Network with Uncertainty Estimation and Attention-Based Knowledge Distillation to Address Practical Challenges in Respiration Rate Estimation,” Sensors, vol. 23, no. 3, 2023, doi: 10.3390/s23031599.

13. K. V Raj, P. M. Nabeel, D. Chandran, M. Sivaprakasam, and J. Joseph, “High-frame-rate A-mode ultrasound for calibration-free cuffless carotid pressure: feasibility study using lower body negative pressure intervention,” Blood Press., vol. 31, no. 1, pp. 19 – 30, 2022, doi: 10.1080/08037051.2021.2022453.

14. A. S. Anusha, S. P. Preejith, T. J. Akl, and M. Sivaprakasam, “Electrodermal activity based autonomic sleep staging using wrist wearable,” Biomed. Signal Process. Control, vol. 75, 2022, doi: 10.1016/j.bspc.2022.103562.

15. Y. Beauferris et al., “Multi-Coil MRI Reconstruction Challenge—Assessing Brain MRI Reconstruction Models and Their Generalizability to Varying Coil Configurations,” Front. Neurosci., vol. 16, 2022, doi: 10.3389/fnins.2022.919186.

16. G. Kompella et al., “Automatic 3D MRI-Ultrasound Registration for Image Guided Arthroscopy,” Appl. Sci., vol. 12, no. 11, 2022, doi: 10.3390/app12115488.

17. K. V Raj, P. M. Nabeel, M. Sivaprakasam, and J. Joseph, “Time-warping for robust automated arterial wall-recognition and tracking from single-scan-line ultrasound signals,” Ultrasonics, vol. 126, 2022, doi: 10.1016/j.ultras.2022.106828.

18. R. Manoj, K. V Raj, P. M. Nabeel, M. Sivaprakasam, and J. Joseph, “Arterial pressure pulse wave separation analysis using a multi-Gaussian decomposition model,” Physiol. Meas., vol. 43, no. 5, 2022, doi: 10.1088/1361-6579/ac6e56.

19. S. Lyra et al., “Camera fusion for real-time temperature monitoring of neonates using deep learning,” Med. Biol. Eng. Comput., vol. 60, no. 6, pp. 1787 – 1800, 2022, doi: 10.1007/s11517-022-02561-9.

20. A. K. Sahani, D. Srivastava, M. Sivaprakasam, and J. Joseph, “A Machine Learning Pipeline for Measurement of Arterial Stiffness in A-Mode Ultrasound,” IEEE Trans. Ultrason. Ferroelectr. Freq. Control, vol. 69, no. 1, pp. 106 – 113, 2022, doi: 10.1109/TUFFC.2021.3109117.

21. D. Dayanand et al., “Community seroprevalence and risk factors for SARS-CoV-2 infection in different subpopulations in Vellore, India, and their implications for future prevention,” Int. J. Infect. Dis., vol. 116, pp. 138 – 146, 2022, doi: 10.1016/j.ijid.2021.12.356.

22. M. Singaram, V. R. Muraleedhran, and M. Sivaprakasam, “Cross fertilisation of Public Health and Translational Research,” J. Indian Inst. Sci., vol. 102, no. 2, pp. 763 – 782, 2022, doi: 10.1007/s41745-022-00317-w.

23. P. M. Nabeel, D. S. Chandran, P. Kaur, S. Thanikachalam, M. Sivaprakasam, and J. Joseph, “Association of incremental pulse wave velocity with cardiometabolic risk factors,” Sci. Rep., vol. 11, no. 1, p. 15413, 2021.

24. V. Raj Kiran, P. M. Nabeel, D. S. Chandran, M. Sivaprakasam, and J. Joseph, “High-Frame-Rate A-mode Ultrasound for Calibration-Free Cuffless Carotid Pressure: Feasibility Study Using Lower Body Negative Pressure Intervention,” Blood Pressure., 2021 (In Press).

25. A. Sekuboyina, M. E. Husseini, A. Bayat, M. Löffler, H. Liebl, H. Li, G. Tetteh, J. Kukačka, C. Payer, D. Štern, M. Urschler, M. Chen, D. Cheng, N. Lessmann, Y. Hu, T. Wang, D. Yang, D. Xu, F. Ambellan, T. Amiranashvili, M. Ehlke, H. Lamecker, S. Lehnert, M. Lirio, N. Pérez de Olaguer, H. Ramm, M. Sahu, A. Tack, S. Zachow, T. Jiang, X. Ma, C. Angerman, X. Wang, K. Brown, A. Kirszenberg, E. Puybareau, D. Chen, Y. Bai, B. H. Rapazzo, T. Yeah, A. Zhang, S. Xu, F. Hou, Z. He, C. Zeng, Z. Xiangshang, X. Liming, T. J. Netherton, R. P. Mumme, L. E. Court, Z. Huang, C. He, L. Wang, S. H. Ling, L. D. Huỳnh, N. Boutry, R. Jakubicek, J. Chmelik, S. Mulay, M. Sivaprakasam, J. C. Paetzold, S. Shit, I. Ezhov, B. Wiestler, B. Glocker, A. Valentinitsch, M. Rempfler, B. H. Menze, J. S. Kirschke, “VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images,” Med. Image Anal., vol. 73, p. 102166, 2021.

26. L. P. Bheemavarapu, M. I. Shah, J. Joseph, and M. Sivaprakasam, “IQVision: An image-based evaluation tool for quantitative lateral flow immunoassay kits,” Biosensors, vol. 11, no. 7, pp. 1–18, 2021.

27. A. K. Sahani, D. Srivastava, M. Sivaprakasam and J. Joseph, “A Machine Learning Pipeline for Measurement of Arterial Stiffness in A-Mode Ultrasound,” IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2021. DOI: 10.1109/TUFFC.2021.3109117.

28. N. Jagadeesh Kumar, J. V. Venkatakrishnan, C. M. Kumar, B. George, and M. Sivaprakasam, “Comparative study of silicone membrane simulator and animal eye models for sub-Tenon’s block,” J. Clin. Monit. Comput., vol. 35, pp. 1519–1524, 2021.

29. R. Arathy, P. M. Nabeel, V. V. Abhidev, M. Sivaprakasam, and J. Joseph, “An Accelerometric Sensor System with Integrated Hydrostatic Pressure Correction to Assess Carotid Arterial Stiffness,” IEEE Sens. J., vol. 21, no. 9, pp. 11163–11175, 2021.

30. J. Joseph, P. M. Nabeel, R. Sudha Ramachandra, V. Ramachandran, M. I. Shah, and K. Prabhdeep, “Assessment of carotid arterial stiffness in community settings with ARTSENS®”, IEEE J. Transl. Eng. Heal. Med., vol. 9, pp. 1-11, 2021.

31. B. Murugesan, S. Ramanarayanan, S. Vijayarangan, K. Ram, Naranamangalam R. Jagannathan, and M. Sivaprakasam, “A Deep Cascade of Ensemble of Dual Domain Networks with Gradient-based T1 Assistance and Perceptual Refinement for Fast MRI Reconstruction,” Comput. Med. Imaging Graph., 2021, In press.

32. C. H. Antink et al., “Fast body part segmentation and tracking of neonatal video data using deep learning,” Med. Biol. Eng. Comput., vol. 58, no. 12, pp. 3049–3061, 2020.

33. S. Banerjee, L. Magee, D. Wang, X. Li, H. Bing-Xing, J. Jayakumar, K. Matho, L. Meng-Kuan, K. Ram, M. Sivaprakasam, J. Huang, Y. Wang, P. Mitra., “Semantic segmentation of microscopic neuroanatomical data by combining topological priors with encoder–decoder deep networks,” Nat. Mach. Intell., 2020. DOI: 10.1038/s42256-020-0227-9

34. N. J. Kumar, B. George, M. Sivaprakasam and V. V. Jaichandran, “A Mannequin-Based Training System with Integrated Sensors for Ophthalmic Sub-Tenon Anesthesia,” IEEE Sensors J., 2020. DOI: 10.1109/JSEN.2020.3025963.

35. A. Mohan, M. Sivaprakasam, and V. J. Kumar, “Assay of direct digital output floating-wiper resistive displacement sensor,” Meas. Sci. Technol., 2020. DOI: 10.1088/1361-6501/abbf0b

36. S. Jeevakala, C. Sreelakshmi, K. Ram, R. Rangasami, and M. Sivaprakasam, “Artificial intelligence in detection and segmentation of internal auditory canal and its nerves using deep learning techniques,” Int. J. Comput. Assist. Radiol. Surg., 2020. DOI: 10.1007/s11548-020-02237-5

37. V. Raj Kiran, J. Joseph, P. M. Nabeel, and M. Sivaprakasam, “Automated measurement of compression-decompression in arterial diameter and wall thickness by image-free ultrasound,” Comput. Methods Programs Biomed., vol. 194, p. 105557, 2020.

38. N. J. Kumar, B. George, and M. Sivaprakasam, “A membrane-potentiometer-based palpation position sensor suitable for ophthalmic anesthesia training,” IEEE Sens. J., vol. 20, no. 6, pp. 3324–3332, 2020.

39. M. Paul, S. Karthik, J. Joseph, M. Sivaprakasam, J. Kumutha, S. Leonhardt, and C. Hoog Antink., “Non-contact sensing of neonatal pulse rate using camera-based imaging: a clinical feasibility study,” Physiol. Meas., vol. 41, no. 2, p. 024001, 2020.

40. J. Joseph, V. Raj Kiran, P. M. Nabeel, M. I. Shah, B. Arun, G, Chandra, S. Suresh, M. Sivaprakasam., “ARTSENS® Pen – portable easy-to-use device for carotid stiffness measurement: technology validation and clinical-utility assessment,” Biomed. Phys. Eng. Express, vol. 6, no. 2, p. 025013, 2020.

41. P. M. Nabeel, V. R. Kiran, J. Joseph, V. V. Abhidev, and M. Sivaprakasam, “Local pulse wave velocity: theory, methods, advancements, and clinical applications,” IEEE Rev. Biomed. Eng., vol. 13, pp. 74–112, 2020.

42. A. S. Anusha et al., “Electrodermal activity based pre-surgery stress detection using a wrist wearable,” IEEE J. Biomed. Heal. Informatics, vol. 24, no. 1, pp. 92–100, 2020.

43. R. Arathy, P. M. Nabeel, J. Joseph, and M. Sivaprakasam, “Accelerometric patch probe for cuffless blood pressure evaluation from carotid local pulse wave velocity: design, development, and in vivo experimental study,” Biomed. Phys. Eng. Express, vol. 5, 2019.

44. B. S. Renganathan, S. Nagaiyan, S. P. Preejith, S. Gopal, S. Mitra, and M. Sivaprakasam, “Effectiveness of a continuous patient position monitoring system in improving hospital turn protocol compliance in an icu: a multiphase multisite study in india,” J. Intensive Care Soc., vol. 20, no. 4, pp. 309–315, 2019.

45. N. J. Kumar, B. George, and M. Sivaprakasam, “A sensor system to assess the ocular digital massage in an ophthalmic anaesthesia training system,” IEEE Sens. J., vol. 19, no. 22, pp. 10812–10820, 2019.

46. S. M. Shankaranarayana, K. Ram, K. Mitra, and M. Sivaprakasam, “Fully convolutional networks for monocular retinal depth estimation and optic disc-cup segmentation,” IEEE J. Biomed. Heal. Informatics, vol. 23, no. 4, pp. 1417–1426, 2019.

47. P. M. Nabeel, J. Jayaraj, S. Karthik, S. Mohanasankar, and M. Chenniappan, “Bi-modal arterial compliance probe for calibration-free cuffless blood pressure estimation,” IEEE Trans. Biomed. Eng., vol. 65, no. 11, pp. 2392–2404, 2018.

48. A. Mohan, M. Sivaprakasam, B. George, and V. J. Kumar, “Self-balancing signal conditioning circuit for a floating-wiper resistive displacement sensor,” IEEE Sens. J., vol. 18, no. 18, pp. 7544–7550, 2018.

49. J. Joseph, P. M. Nabeel, M. I. Shah, and M. Sivaprakasam, “Arterial compliance probe for cuffless evaluation of carotid pulse pressure,” PLoS One, vol. 13, no. 8, p. e0202480, 2018.

50. P. M. Nabeel, S. Karthik, J. Joseph, and M. Sivaprakasam, “Arterial blood pressure estimation from local pulse wave velocity using dual-element photoplethysmograph probe,” IEEE Trans. Instrum. Meas., vol. 67, no. 6, pp. 1399–1408, 2018.

51. A. Mohan, M. Sivaprakasam, B. George, and V. Jagadeesh Kumar, “Self-Balancing Signal Conditioning Circuit for a Floating-Wiper Resistive Displacement Sensor,” IEEE Sens. J., vol. 18, no. 18, pp. 7544–7550, 2018.

52. A. S. Anusha, J. Jose, S. P. Preejith, J. Jayaraj, and S. Mohanasankar, “Physiological signal based work stress detection using unobtrusive sensors,” Biomed. Phys. Eng. Express, vol. 4, p. 065001, 2018.

53. N. J. Kumar, B. George, and M. Sivaprakasam, “Virtual instrumentation system with real-time visual feedback and needle position warning suitable for ophthalmic anesthesia training,” IEEE Trans. Instrum. Meas., vol. 67, no. 5, pp. 1111–1123, 2018.

54. P. Mohapatra, P. S. Premkumar, and M. Sivaprakasam, “A yellow-orange wavelength-based short-term heart rate variability measurement scheme for wrist-based wearables,” IEEE Trans. Instrum. Meas., vol. 67, no. 5, pp. 1091–1101, 2018.

55. G. Gupta, S. Kulasekaran, K. Ram, N. Joshi, M. Sivaprakasam, and R. Gandhi, “Local characterization of neovascularization and identification of proliferative diabetic retinopathy in retinal fundus images,” Comput. Med. Imaging Graph., vol. 55, pp. 124–132, 2017.

56. P. M. Nabeel, J. Joseph, and M. Sivaprakasam, “A Magnetic Plethysmograph Probe for Local Pulse Wave Velocity Measurement,” IEEE Trans. Biomed. Circuits Syst., vol. 11, no. 5, pp. 1065–1076, 2017.

57. P. M. Nabeel, J. Joseph, and M. Sivaprakasam, “Single-source PPG-based local pulse wave velocity measurement: A potential cuffless blood pressure estimation technique,” Physiol. Meas., vol. 38, no. 12, pp. 2122–2140, 2017.

58. T. Ganesh, J. Joseph, B. Bhikkaji, and M. Sivaprakasam, “Sparse models and recursive computations for determining arterial dynamics,” Biomed. Signal Process. Control, vol. 38, pp. 9–21, 2017.

59. A. K. Sahani, J. Joseph, R. Radhakrishnan, M. Sivaprakasam, and S. Seshadri, “Comparison of measurement of the augmentation index from ARTSENS and eTRACKING,” in Biomedical Physics and Engineering Express, 2016, vol. 2, no. 1, p. 015007.

60. M. Sakthivel, B. George, and M. Sivaprakasam, “A Novel GMR-Based Eddy Current Sensing Probe with Extended Sensing Range,” IEEE Trans. Magn., vol. 52, no. 4, pp. 1–12, 2016.

61. R. Sangameswaran, G. Verma, N. Raghavan, J. Joseph, and M. Sivaprakasam, “Cataract surgery in mobile eye surgical unit: Safe and viable alternative,” Indian J. Ophthalmol., vol. 64, no. 11, p. 835, 2016.

62. A. K. Sahani, M. I. Shah, J. Joseph, and M. Sivaprakasam, “Carotid and Jugular Classification in ARTSENS,” IEEE J. Biomed. Heal. Informatics, vol. 20, no. 2, pp. 440–449, 2016.

63. J. Joseph, R. Radhakrishnan, S. Kusmakar, A. S. Thrivikraman, and M. Sivaprakasam, “Technical Validation of ARTSENS-An Image Free Device for Evaluation of Vascular Stiffness,” IEEE J. Transl. Eng. Heal. Med., vol. 3, p. 1900213, 2015.

64. A. K. Sahani, J. Joseph, R. Radhakrishnan, and M. Sivaprakasam, “Automatic Measurement of End-Diastolic Arterial Lumen Diameter in ARTSENS,” J. Med. Device., vol. 9, no. 4, p. 041002, 2015.

65. B. Mukherjee and M. Sivaprakasam, “An eye toward improving: a new training approach in ophthalmic anesthesia provides qualitative and quantitative feedback,” IEEE Pulse, vol. 6, no. 4, pp. 20–25, 2015.

66. B. Mukherjee, B. George, and M. Sivaprakasam, “A multi-electrode electric field based sensing system for ophthalmic anesthesia training,” IEEE Trans. Biomed. Circuits Syst., vol. 9, no. 3, pp. 431–440, 2015.

67. B. Mukherjee, J. Venkatakrishnan, B. George, and M. Sivaprakasam, “Evaluation of an ophthalmic anesthesia simulation system for regional block training,” Ophthalmology, vol. 122, no. 12, pp. 2578–2580, 2015.

68. A. K. Sahani, J. Joseph, and M. Sivaprakasam, “Evaluation of the algorithm for automatic identification of the common carotid artery in ARTSENS,” Physiol. Meas., vol. 35, no. 7, pp. 1299–1317, 2014.

69. S. Mithun, B. George, and M. Sivaprakasam, “A new inductive proximity sensor based guiding tool to locate metal shrapnel during surgery,” IEEE Trans. Instrum. Meas., vol. 63, no. 12, pp. 2940–2949, 2014.

        Abstracts Published in Journals

1. R. Manoj, P. M. Nabeel, K. V Raj, J. Joseph, and M. Sivaprakasam, “Direct measurement of stiffness index β of superficial arteries without blood pressure estimation,” Artery Res., vol. 26, no. Supplement 1, pp. S18–S18, 2020.

2. R. Arathy, P. M. Nabeel, J. Joseph, V. V Abhidev, and M. Sivaprakasam, “Ambulatory measurement of carotid stiffness with a novel accelerometric system,” Artery Res., vol. 26, no. Supplement 1, pp. S62–S62, 2020.

3. K. V Raj, P. M. Nabeel, J. Joseph, D. Chandran, and M. Sivaprakasam, “Measurement of pressure-dependent intra-beat changes in carotid pulse wave velocity using image-free fast ultrasound,” Artery Res., vol. 26, no. Supplement 1, pp. S63–S63, 2020.

        Conferences

1. R. Aishwarya, S. P. Preejith, and M. Sivaprakasam, “Normative Values of Heart Rate Variability During Sleep in Indian Population,” in 2023 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2023 - Conference Proceedings, 2023. doi: 10.1109/MeMeA57477.2023.10171932.

2. N. R. George, R. Manoj, R. K. V, N. P M, M. Sivaprakasam, and J. Joseph, “Ultrasound for Venous Local Pulse Wave Velocity: Comparison of Pulse Transit Time Methods,” Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. IEEE Eng. Med. Biol. Soc. Annu. Int. Conf., vol. 2023, pp. 1 – 4, 2023, doi: 10.1109/EMBC40787.2023.10340269.

3. S. S. Upadhyaya, S. P. Preejith, and M. Sivaprakasam, “Effects of Caffeine Supplementation on Short-term Heart Rate Variability,” in 2023 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2023 - Conference Proceedings, 2023. doi: 10.1109/MeMeA57477.2023.10171939.

4. A. Shyam et al., “Immersive Virtual Reality Platform for Robot-Assisted Antenatal Ultrasound Scanning,” in 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2023, pp. 1600–1605. doi: 10.1109/RO-MAN57019.2023.10309266.

5. S. Sree, M. Al Fahim, K. Ram, and M. Sivaprakasam, “Geometric Learning-Based Transformer Network for Estimation of Segmentation Errors,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 14350 LNCS, pp. 118 – 132, 2023, doi: 10.1007/978-3-031-46914-5_10.

6. P. Sithambaram et al., “Automation of slide staining for large tissue sections,” Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. IEEE Eng. Med. Biol. Soc. Annu. Int. Conf., vol. 2023, pp. 1 – 4, 2023, doi: 10.1109/EMBC40787.2023.10339963.

7. R. G.S, S. Ramnarayanan, M. Al Fahim, K. Ram, P. S.P, and M. Sivaprakasam, “SDLFormer: A Sparse and Dense Locality-Enhanced Transformer for Accelerated MR Image Reconstruction,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 14307 LNCS, pp. 138 – 147, 2023, doi: 10.1007/978-3-031-44917-8_13.

8. A. Das, A. Palla, K. Ram, and M. Sivaprakasam, “A Study of Representational Properties of Unsupervised Anomaly Detection in Brain MRI,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 13823 LNCS, pp. 111 – 125, 2023, doi: 10.1007/978-3-031-25046-0_9.

9. V. V Girish, V. Raj Kiran, P. Nabeel, M. Sivaprakasam, and J. Joseph, “Acceleration Plethysmography for Ambulatory Vascular Monitoring: A Pilot Study,” in 2023 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2023 - Conference Proceedings, 2023. doi: 10.1109/MeMeA57477.2023.10171877.

10. A. Palla, S. Ramanarayanan, K. Ram, and M. Sivaprakasam, “Generalizable Deep Learning Method for Suppressing Unseen and Multiple MRI Artifacts Using Meta-learning,” Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. IEEE Eng. Med. Biol. Soc. Annu. Int. Conf., vol. 2023, pp. 1 – 5, 2023, doi: 10.1109/EMBC40787.2023.10341123.

11. P. Ta et al., “Automated Knowledge Modeling for Cancer Clinical Practice Guidelines,” Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. IEEE Eng. Med. Biol. Soc. Annu. Int. Conf., vol. 2023, pp. 1 – 4, 2023, doi: 10.1109/EMBC40787.2023.10341037.

12. R. Manoj, V. Raj Kiran, S. Ponkalaivani, P. M. Nabeel, M. Sivaprakasam, and J. Joseph, “Measurement of Local Pulse Wave Velocity: Agreement Among Various Methodologies,” in 2023 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2023 - Conference Proceedings, 2023. doi: 10.1109/MeMeA57477.2023.10171907.

13. V. V Girish, R. K. V, N. P. M, M. Sivaprakasam, and J. Joseph, “Wearable Ambulatory Accelerometer System for Estimating Arterial Stiffness: A Pilot Study,” Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. IEEE Eng. Med. Biol. Soc. Annu. Int. Conf., vol. 2023, pp. 1 – 4, 2023, doi: 10.1109/EMBC40787.2023.10340560.

14. H. Narayanan, S. Chandrasekaran, J. K. Vasan, R. Kumarasami, M. Sivaprakasam, and J. Joseph, “Cover slip handling and mounting media dispensation for reliable automated cover slipping of large tissue sections,” in 2023 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2023 - Conference Proceedings, 2023. doi: 10.1109/MeMeA57477.2023.10171950.

15. R. Dhinesh, S. P. Preejith, and M. Sivaprakasam, “Understanding the Effects of a Real-time Motion Capture System with Voice Feedback for Tennis Toss Training,” in 2023 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2023 - Conference Proceedings, 2023. doi: 10.1109/MeMeA57477.2023.10171905.

16. T. Kulkarni, K. H. Aqil, J. Jayakumar, K. Ram, and M. Sivaprakasam, “Learning to atlas register for rapid segmentation of brain structures in fetal MRI,” in Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2023. doi: 10.1117/12.2653953.

17. P. Sithambaram, R. Kumarasami, M. Sivaprakasam, and J. Joseph, “Image Quality Assessment of Large Tissue Samples Stained using a Customized Automated Slide Stainer,” in 2023 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2023 - Conference Proceedings, 2023. doi: 10.1109/MeMeA57477.2023.10171900.

18. H. Narayanan, S. Chandrasekaran, J. K. Vasan, R. Kumarasami, M. Sivaprakasam, and J. Joseph, “Automation of slide coverslipping for large tissue sections,” Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. IEEE Eng. Med. Biol. Soc. Annu. Int. Conf., vol. 2023, pp. 1 – 4, 2023, doi: 10.1109/EMBC40787.2023.10340000.

19. J. Dave, S. Chand, R. Gs, A. Raj, P. Sp, and M. Sivaprakasam, “Multispectral Imaging for Vein Localization and Contrast Enhancement,” Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. IEEE Eng. Med. Biol. Soc. Annu. Int. Conf., vol. 2023, pp. 1 – 4, 2023, doi: 10.1109/EMBC40787.2023.10341080.

20. A. K. Gurrala, G. Rahul, S. Amalan, S. Preejith, and M. Sivaprakasam, “Eliminating Vertical Fixed Pattern Noise in CMOS-Based Endoscopic Images using Modified Dark Frame Subtraction,” in 2023 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2023 - Conference Proceedings, 2023. doi: 10.1109/MeMeA57477.2023.10171876.

21. N. R. George et al., “A Pilot Observational Cohort Study to Investigate the Effect of Valsalva Maneuver on Internal Jugular Venous Diameter,” Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. IEEE Eng. Med. Biol. Soc. Annu. Int. Conf., vol. 2023, pp. 1 – 4, 2023, doi: 10.1109/EMBC40787.2023.10340601.

22. S. Chand, A. Raj, S. Preejith, and M. Sivaprakasam, “Investigating Effective Spectral Bands for Tissue Visualization in Oral Mucosa,” in 2023 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2023 - Conference Proceedings, 2023. doi: 10.1109/MeMeA57477.2023.10171937.

23. R. Manoj, A. S, R. K. V, N. P M, M. Sivaprakasam, and J. Joseph, “Arterial Wave Separation Analysis and Reflection Wave Transit Time Estimation using a Double Rayleigh Flow Rate Model,” Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. IEEE Eng. Med. Biol. Soc. Annu. Int. Conf., vol. 2023, pp. 1 – 4, 2023, doi: 10.1109/EMBC40787.2023.10340514.

24. A. A. Anil, S. Karthik, J. Joseph, and M. Sivaprakasam, “Face-Free Chest Detection Using Convolutional Neural Networks for Non-Contact Respiration Monitoring,” Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. IEEE Eng. Med. Biol. Soc. Annu. Int. Conf., vol. 2023, pp. 1 – 4, 2023, doi: 10.1109/EMBC40787.2023.10340092.

25. G. A. Kumar, R. G S, P. S P, and M. Sivaprakasam, “Improving Endoscopic Image Quality through the Use of High Dynamic Range Imaging-Like Method with Real-Time Performance,” Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. IEEE Eng. Med. Biol. Soc. Annu. Int. Conf., vol. 2023, pp. 1 – 4, 2023, doi: 10.1109/EMBC40787.2023.10340807.

26. J. Dave, S. Chand, G. Rahul, A. Raj, S. Preejith, and M. Sivaprakasam, “Statistical Analysis of Multispectral NIR Images for Vein Detection,” in 2023 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2023 - Conference Proceedings, 2023. doi: 10.1109/MeMeA57477.2023.10171947.

27. K. H. Aqil, T. Kulkarni, J. Jayakumar, K. Ram, and M. Sivaprakasam, “Confounding Factors Mitigation in Brain Age Prediction Using MRI with Deformation Fields,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 14277 LNCS, pp. 58 – 69, 2023, doi: 10.1007/978-3-031-46005-0_6.

28. N. R. George, V. Raj Kiran, P. M. Nabeel, M. Sivaprakasam, and J. Joseph, “Assessment of Local Venous Pulse Wave Velocity: A Pilot Feasibility Study,” in 2023 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2023 - Conference Proceedings, 2023. doi: 10.1109/MeMeA57477.2023.10171902.

29. M. Naheem, G. Andal Amirthavarshini, A. Shyam, P. Dumpuri, M. Lakshmanan, and M. Sivaprakasam, “Optical Tracker Assessment for Image Guided Surgical Interventions,” in 2022 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2022 - Conference Proceedings, 2022. doi: 10.1109/MeMeA54994.2022.9856439.

30. R. Manoj, V. R. Kiran, P. M. Nabeel, M. Sivaprakasam, and J. Joseph, “Assessment of Arterial Reflection Markers using an A-Mode Ultrasound Device,” in 2022 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2022 - Conference Proceedings, 2022. doi: 10.1109/MeMeA54994.2022.9856446.

31. R. Manoj, V. Raj Kiran, P. M. Nabeel, M. Sivaprakasam, and J. Joseph, “Estimation of Characteristic Impedance using Multi-Gaussian Modelled Flow Velocity Waveform: A Virtual Subjects Study,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2022, pp. 2274 – 2277. doi: 10.1109/EMBC48229.2022.9871684.

32. A. Raj, A. Sebastin, N. Subbu, S. P. Preejith, and M. Sivaprakasam, “Enhanced Vascular Features in Porcine Gastrointestinal Endoscopy Using Multispectral Imaging,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2022, pp. 2228 – 2231. doi: 10.1109/EMBC48229.2022.9871634.

33. R. Manoj, V. Raj Kiran, P. M. Nabeel, M. Sivaprakasam, and J. Joseph, “Evaluation of Pulse Contour Markers using an A-Mode Ultrasound: Association with Carotid Stiffness Markers and Ageing,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2022, pp. 4010 – 4013. doi: 10.1109/EMBC48229.2022.9871405.

34. N. N. Sahoo et al., “Deep learning based non-contact physiological monitoring in Neonatal Intensive Care Unit,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2022, pp. 1327 – 1330. doi: 10.1109/EMBC48229.2022.9871025.

35. L. Govindan et al., “Heart Rate Variability of Healthcare Workers during Covid-19,” in 2022 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2022 - Conference Proceedings, 2022. doi: 10.1109/MeMeA54994.2022.9856569.

36. S. Chand, A. Raj, S. Amalan, S. P. Preejith, and M. Sivaprakasam, “Identifying Oral Cancer Using Multispectral Snapshot Camera,” in 2022 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2022 - Conference Proceedings, 2022. doi: 10.1109/MeMeA54994.2022.9856427.

37. A. K. Jethi, R. Souza, K. Ram, and M. Sivaprakasam, “Improving Fast MRI Reconstructions with Pretext Learning in Low-Data Regime,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2022, pp. 2080 – 2083. doi: 10.1109/EMBC48229.2022.9871369.

38. N. R. George, V. R. Kiran, P. M. Nabeel, M. Sivaprakasam, and J. Joseph, “High Frame-Rate A-Mode Ultrasound System for Jugular Venous Pulse Tracking: A Feasibility Study,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2022, pp. 4022 – 4025. doi: 10.1109/EMBC48229.2022.9871484.

39. N. Sudarsan, R. Manoj, P. M. Nabeel, M. Sivaprakasam, and J. Joseph, “Association of Local Arterial Stiffness and Windkessel Model Parameters with Ageing in Normotensives and Hypertensives,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2022, pp. 3997 – 4000. doi: 10.1109/EMBC48229.2022.9871993.

40. N. R. George, V. Raj Kiran, P. M. Nabeel, M. Sivaprakasam, and J. Joseph, “Jugular Venous Diameter Measurement Using A-Mode Ultrasound: A Feasibility Study,” in 2022 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2022 - Conference Proceedings, 2022. doi: 10.1109/MeMeA54994.2022.9856539.

41. L. Govindan, B. Vaishali, V. Sricharan, S. P. Preejith, and M. Sivaprakasam, “Impact of Posture on Heart Rate Variability of Individuals under Mental Workload Conditions,” in SeGAH 2022 - 2022 IEEE 10th International Conference on Serious Games and Applications for Health, 2022. doi: 10.1109/SEGAH54908.2022.9978565.

42. K. S. Rathore, B. Vaishali, K. Deepak Vagish, V. Sricharan, S. P. Preejith, and M. Sivaprakasam, “Utility of Breathing Rate in Estimation of Ventilatory Thresholds,” in SeGAH 2022 - 2022 IEEE 10th International Conference on Serious Games and Applications for Health, 2022. doi: 10.1109/SEGAH54908.2022.9978306.

43. S. Thukkaram, S. P. Preejith, and M. Sivaprakasam, “Identification of Effective Indicators of Parasympathetic Activity using Deep Breathing Technique on Corporate Employees,” in 2022 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2022 - Conference Proceedings, 2022. doi: 10.1109/MeMeA54994.2022.9856553.

44. B. Ragu, A. Raj, G. S. Rahul, S. Chand, S. P. Preejith, and M. Sivaprakasam, “XP-Net: An Attention Segmentation Network by Dual Teacher Hierarchical Knowledge distillation for Polyp Generalization,” in CEUR Workshop Proceedings, 2022, pp. 40 – 45. [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132168159&partnerID=40&md5=7559a011f7540c16e3095b37e8035a70

45. B. Vaishali, V. Sricharan, S. P. Preejith, and M. Sivaprakasam, “A Comparative Study of Heart Rate Variability Methods for Stress Detection,” in 2022 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2022 - Conference Proceedings, 2022. doi: 10.1109/MeMeA54994.2022.9856565.

46. R. Nishitha, S. Amalan, S. Sharma, S. P. Preejith, and M. Sivaprakasam, “Image Quality Assessment for Interdependent Image Parameters Using a Score-Based Technique for Endoscopy Applications,” in 2022 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2022 - Conference Proceedings, 2022. doi: 10.1109/MeMeA54994.2022.9856448.

47. S. Venkat et al., “Lifestyle Assessment of Large Scale Population using Repose - A Heart Rate Variability based Lifestyle Assessment Platform,” in SeGAH 2022 - 2022 IEEE 10th International Conference on Serious Games and Applications for Health, 2022. doi: 10.1109/SEGAH54908.2022.9978302.

48. A. Raj, S. Amalan, R. Navin, S. P. Preejith, and M. Sivaprakasam, “Multispectral Image Analysis of Vasculatures in Sublingual Mucosa,” in 2022 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2022 - Conference Proceedings, 2022. doi: 10.1109/MeMeA54994.2022.9856568.

49. A. R. PT, P. S. P, and M. Sivaprakasam, “Effect of Minimal Lifestyle Modification on Resting Heart Rate in Corporate Employees,” in 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2022, pp. 1–6. doi: 10.1109/MeMeA54994.2022.9856523.

50. R. Nishitha, S. Amalan, P. S. Preejith, and M. Sivaprakasam, “Identification of Structures to Perform Image Quality Assessment in Real-Time Endoscopy Imaging,” in 2022 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2022 - Conference Proceedings, 2022. doi: 10.1109/MeMeA54994.2022.9856437.

51. K. S. Rathore, V. Sricharan, S. P. Preejith, and M. Sivaprakasam, “MRNet - A Deep Learning Based Multitasking Model for Respiration Rate Estimation in Practical Settings,” in SeGAH 2022 - 2022 IEEE 10th International Conference on Serious Games and Applications for Health, 2022. doi: 10.1109/SEGAH54908.2022.9978572.

52. M. Singaram, V. Muraleedhran, M. Sivaprakasam, and S. Pathak, “Adapting The Quadruple Aim For The Benefit Of The Stakeholders In Academic Healthcare Research,” in 2022 IEEE Technology and Engineering Management Conference: Societal Challenges: Technology, Transitions and Resilience Virtual Conference, TEMSCON EUROPE 2022, 2022, pp. 146 – 151. doi: 10.1109/TEMSCONEUROPE54743.2022.9801924.

53. R. Manoj, V. R. Kiran, P. M. Nabeel, M. Sivaprakasam, and J. Joseph, “Variation in Pulse Contour Markers on an Anesthetized Porcine During Pressure Perturbation: Association with Local and Regional Stiffness,” in 2022 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2022 - Conference Proceedings, 2022. doi: 10.1109/MeMeA54994.2022.9856488.

54. N. Sudarsan, R. Manoj, P. M. Nabeel, M. Sivaprakasam, and J. Joseph, “Association of Windkessel Model Parameters with Local and Regional Aortic Stiffness Indices,” in 2022 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2022 - Conference Proceedings, 2022. doi: 10.1109/MeMeA54994.2022.9856432.

55. S. Venkat, P. Sp, and M. Sivaprakasam, “Comparative Analysis of Resting Heart Rate Measurement at Multiple Instances in a Single Day,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2022, pp. 824 – 827. doi: 10.1109/EMBC48229.2022.9871825.

56. V. Joshi, V. Sricharan, S. P. Preejith, and M. Sivaprakasam, “EEG aided boosting of single-lead ECG based sleep staging with Deep Knowledge Distillation,” in 2022 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2022 - Conference Proceedings, 2022. doi: 10.1109/MeMeA54994.2022.9856508.

57. P. M. Nabeel, R. Kiran V, R. Manoj, Abhidev. V V, M. Sivaprakasam and J. Joseph, “High-Framerate A-Mode Ultrasound for Vascular Structural Assessments: In-Vivo Validation in a Porcine Model: in 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, pp. 5602-5605,

58. R. Manoj, V. Raj Kiran, P. M. Nabeel, M. Sivaprakasam and J. Joseph, "Evaluation of Nonlinear Wave Separation Method to Assess Reflection Transit Time: A Virtual Patient Study," in 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, pp. 5551-5554.

59. R. Manoj, V. Raj Kiran, P. M. Nabeel, M. Sivaprakasam and J. Joseph, "Separation of Forward-Backward Waves in the Arterial System using Multi-Gaussian Approach from Single Pulse Waveform," in 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, pp. 5547-5550.

60. R. Kiran V, Nabeel. P M, R. Manoj, M. I. Shah, M. Sivaprakasam and J. Joseph, "Phantom Assessment of an Image-free Ultrasound Technology for Online Local Pulse Wave Velocity Measurement," in 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, pp. 5610-5613.

61. Arathy. R, Nabeel. P. Manoj, Raj. Kiran. V, Abhidev. V. V, M. Sivaprakasam and J. Joseph, "Evaluation of Vascular Pulse Contour Indices over the Physiological Blood Pressure Ranges in an Anesthetized Porcine Model," in 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, pp. 5594-5597.

62. R. Kiran V, Nabeel. P M, M. I. Shah, M. Sivaprakasam and J. Joseph, "Gaussian-Mixture Modelling of A-Mode Radiofrequency Scans for the Measurement of Arterial Wall Thickness," in 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, pp. 5598-5601.

63. A. P. S. Mohamed Tanveejul, R. Vishakh Maheswar, A. Vikraman, D. R, S. P. Preejith and M. Sivaprakasam, "Shot-wise Heart Rate Variability Analysis on Cricket Players," in IEEE 9th International Conference on Serious Games and Applications for Health(SeGAH), 2021, pp. 1-7,

64. J. C. Raju, K. S. Gayatri, K. Ram, R. Rangasami, R. Ramachandran, and M. Sivaprakasam, “MIST GAN: Modality Imputation Using Style Transfer for MRI,” in Machine Learning in Medical Imaging, 2021, pp. 327–336.

65. K. K. Madhu Mithra, S. Ramanarayanan, K. Ram and M. Sivaprakasam, "Reference-Based Texture Transfer for Single Image Super-Resolution of Magnetic Resonance Images," in IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021, pp. 579-583.

66. P. M. Nabeel, V. Raj Kiran, J. Joseph, and M. Sivaprakasam, “Evaluation of Central Arterial Blood Pressure on Urban, Rural, and Semi-Urban Population in India Using ARTSENS,” in Institute of Electrical Engineering of Japan Smart City Conference, 2021, pp. 45-50, Art no. CMN21026.

67. P. M. Nabeel, V. Raj Kiran, M. I. Shah, V.V. Abhidev, M. Rahul, M. Sivaprakasam, and J. Joseph “An Image-Free Ultrasound Device for Simultaneous Measurement of Local and Regional Arterial Stiffness Indices,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2021, pp. 1-6.

68. V. Raj Kiran, P. M. Nabeel, M. Sivaprakasam, and J. Joseph “Phantom Evaluation of a Time Warping Based Automated Arterial Wall Recognition and Tracking Method,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2021, pp. 1-6.

69. M. Rahul, V. Raj Kiran, P. M. Nabeel, M. Sivaprakasam, and J. Joseph “Multi-Gaussian Model for Estimating Stiffness Surrogate using Arterial Diameter Waveform,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2021, pp. 1-6.

70. R. Nishitha S. Amalan, S. Sharma, G. Ajay, S. P. Preejith, J. Joseph, and M. Sivaprakasam, “Image Quality Assessment for Endoscopy Applications,” IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2021, pp. 1-6.

71. R. Antony, B. Vishali, V. Deepak, V. Sricharan, S. P. Preejith, and M. Sivaprakasam, “Statistical Analysis of Mental Stress During Oral Presentation,” IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2021, pp. 1-6.

72. J. C. Raju, B. Murugesan, K. Ram, and M. Sivaprakasam, “AutoSyncoder: An Adversarial AutoEncoder Framework for Multimodal MRI Synthesis,” International Workshop on Machine Learning for Medical Image Reconstruction, 2020, vol. 12450, pp. 102-110.

73. S. Mulay, G. Deepika, S. Jeevakala, K. Ram, and M. Sivaprakasam, “Liver segmentation from multimodal images using HED-mask R-CNN,” International Workshop on Multiscale Multimodal Medical Imaging, 2020, vol. 11977, pp. 68-75.

74. P. M. Nabeel, R. Manoj, V. V Abhidev, J. Joseph, V. Raj Kiran, and M. Sivaprakasam, “High-throughput vascular screening by ARTSENS Pen during a medical camp for early-stage detection of chronic kidney disease,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2020, pp. 2752–2755.

75. P. Ramakrishna, P. M. Nabeel, V. Raj Kiran, J. Joseph, and M. Sivaprakasam, “Cuffless blood pressure estimation using features extracted from carotid dual-diameter waveforms,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2020, pp. 2719–2722.

76. R. Manoj, P. M. Nabeel, V. V Abhidev, V. Raj Kiran, J. Joseph, and M. Sivaprakasam, “Demonstration of pressure-dependent inter and intra-cycle variations in local pulse wave velocity using excised bovine carotid artery,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2020, pp. 2707–2710.

77. R. Kumarasami, J. K. Vasan, J. Joseph, P. Sithambaram, S. Pandidurai, and M. Sivaprakasam, “iQuant Auto: automated rapid test platform for immunodiagnostics,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2020, pp. 6131–6134.

78. S. Ramanarayanan et al., “MRI super-resolution using Laplacian pyramid convolutional neural networks with isotropic undecimated wavelet loss,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2020, pp. 1584–1587.

79. R. Arathy, P. M. Nabeel, J. Joseph, V. V Abhidev, and M. Sivaprakasam, “Repeatability study of local vascular stiffness measurement using carotid surface acceleration plethysmogram,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2020, pp. 2699–2702.

80. R. Manoj, V. Raj Kiran, P. M. Nabeel, J. Joseph, and M. Sivaprakasam, “A Bi-modal probe integrated with A-mode ultrasound and force sensor for single-site assessment of arterial pressure-diameter loop,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2020, pp. 1–6.

81. V. Raj Kiran, J. Joseph, P. M. Nabeel, and M. Sivaprakasam, “A dynamic time warping method for improved arterial wall-tracking using a-mode ultrasound frames: a proof-of-concept,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2020, pp. 1–6.

82. R. Arathy, J. Joseph, P. M. Nabeel, V. V Abhidev, and M. Sivaprakasam, “Feasibility study of arterial stiffness monitoring based on reflected wave transit time using carotid acceleration plethysmogram,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2020, pp. 1–5.

83. S. Venkat, S. P. Preejith, Vignesh M, Arumugam S, Vasanthi, Thiagarajan K. A, M. Sivaprakasam “Heart rate variability analysis during exercise in hypoxia chamber,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2020, pp. 1–6.

84. B. Vaishali, S. Amalan, S. P. Preejith, J. Joseph, and M. Sivaprakasam, “HRV based stress assessment of individuals in a work environment,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2020, pp. 1–6.

85. R. Kumarasami, J. Joseph, J. K. Vasan, S. Pandidurai, P. Sithambaram, and M. Sivaprakasam, “IQPrep Kit: A milli-fluidic test kit for immunodiagnostics,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2020, pp. 1–6.

86. A. P. Mohamed Tanveejul, Annamol. A, S.P Preejith, Christopher D. J, Balamugesh, Sujith C, J. Joseph, and M. Sivaprakasam,“A study on the subject and location specificity in reflectance based spo2 estimation using r-value based calibration curve,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2020, pp. 1–6.

87. P. P Uthappa, K. Ram, P.M Nabeel, V. Raj Kiran, J. Joseph, and M. Sivaprakasam, “Blood pressure estimation using arterial diameter: exploring different machine learning methods,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2020, pp. 1–6.

88. J. Joseph, H. Vijayakumar, P. M. Nabeel, T. Muralidharan, S. Thanikachalam, and M. Sivaprakasam, “Carotid stiffness variations in the presence of established risk factors: observations from a clinical study using ARTSENS,” in IEEE International Symposium on Medical Measurements and Applications MeMeA, 2020, pp. 1–6.

89. S. Ramanarayanan, B. Murugesan, K. Ram, and M. Sivaprakasam, “MAC-ReconNet: a multiple acquisition context based convolutional neural network for mr image reconstruction using dynamic weight prediction,” in Medical Imaging with Deep Learning, 2020, pp. 1–13.

90. B. Murugesan, K. Sarveswaran, V. S. Raghavan, S. M. Shankaranarayana, K. Ram, and M. Sivaprakasam, “A context based deep learning approach for unbalanced medical image segmentation,” in IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), Iowa City, IA, USA, 2020, pp. 1949–1953.

91. S. Ramanarayanan, B. Murugesan, K. Ram, and M. Sivaprakasam, “DC-WCNN: a deep cascade of wavelet based convolutional neural networks for mr image reconstruction,” in IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), Iowa City, IA, USA, 2020, pp. 1069–1073.

92. A. K. Jethi, B. Murugesan, K. Ram and M. Sivaprakasam, "Dual-Encoder-Unet for Fast Mri Reconstruction," in IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), Iowa City, IA, USA, 2020, pp. 1-4.

93. B. Murugesan, S. Vijayarangan, K. Sarveswaran, K. Ram, and M. Sivaprakasam, “KD-MRI: a knowledge distillation framework for image reconstruction and image restoration in mri workflow,” in Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR, 2020, vol. 121, pp. 515-526.

94. S. John, S. Srinivasan, R. Raman, K. Ram, and M. Sivaprakasam, “Validation of a customized algorithm for the detection of diabetic retinopathy from single-field fundus photographs in a tertiary eye care hospital,” in Studies in Health Technology and Informatics, 2019, vol. 264, pp. 1504–1505.

95. R. Dhinesh, S. Preejith, and M. Sivaprakasam, “Ride profiling for a single speed bicycle using an inertial sensor,” in Medical Measurements and Applications, MeMeA 2019 - Symposium Proceedings, 2019, pp. 1–6.

96. V. Ravichandran et al., “Respnet: a deep learning model for extraction of respiration from photoplethysmogram,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2019, pp. 5556–5559.

97. S. Amalan, B. Vaishali, S. P. Preejith, J. Joseph, and M. Sivaprakasam, “Pre-surgery stress monitoring using heart rate variability measures,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2019, pp. 4592–4595.

98. J. M. Poomeshwaran, K. S. Santhosh, K. Ram, J. Joseph, and M. Sivaprakasam, “Polyp segmentation using generative adversarial network,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2019, pp. 7201–7204.

99. P. Ramakrishna, P. M. Nabeel, and M. Sivaprakasam, “Novel geometric representation for one-dimensional model of arterial blood pulse wave propagation,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2019, pp. 506–509.

100. L. P. Bheemavarapu, M. I. Shah, J. Joseph, and M. Sivaprakasam, “Multi-cartridge fluorescence reader for quantitative immunoassays,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2019, pp. 5447–5450.

101. V. Raj Kiran, P. M. Nabeel, J. Joseph, and M. Sivaprakasam, “Methodological and measurement concerns of local pulse wave velocity assessment,” in Medical Measurements and Applications, MeMeA 2019 - Symposium Proceedings, 2019, pp. 1–6.

102. S. Venkat et al., “Machine learning based spo2 computation using reflectance pulse oximetry,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2019, pp. 482–485.

103. V. Kiran Raj, N. P M, J. Joseph, and M. Sivaprakasam, “Incorporating arterial viscoelastic modelling for the assessment of changes in pulse wave velocity within a cardiac cycle using bramwell-hill equation,” in 2019 Computing in Cardiology Conference (CinC), 2019, vol. 45, pp. 1–4.

104. J. Joseph, D. S. Chandran, R. V. Kiran, V. V. Abhidev, and M. Sivaprakasam, “Image-free technique for flow mediated dilation using ARTSENS® pen,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2019, pp. 5051–5054.

105. L. P. Bheemavarapu, M. Ilesh Shah, J. Joseph, and M. Sivaprakasam, “Image-based tracking of immunoassay reaction progress in quantitative lateral flow kits,” in Medical Measurements and Applications, MeMeA 2019 - Symposium Proceedings, 2019, pp. 1–6.

106. R. Dhinesh, M. Naheem, S. Khandelwal, S. P. Preejith, J. Joseph, and M. Sivaprakasam, “Fall detection using kinematic features from a wrist-worn inertial sensor,” in Medical Measurements and Applications, MeMeA 2019 - Symposium Proceedings, 2019, pp. 1–6.

107. V. Ravichandran et al., “Deep network for capacitive ECG denoising,” in Medical Measurements and Applications, MeMeA 2019 - Symposium Proceedings, 2019, pp. 1–6.

108. P. M. Nabeel, V. Chilaka, V. Raj Kiran, J. Joseph, and M. Sivaprakasam, “Deep learning for blood pressure estimation: an approach using local measure of arterial dual diameter waveforms,” in Medical Measurements and Applications, MeMeA 2019 - Symposium Proceedings, 2019, pp. 1–6.

109. R. Manoj, R. Kumarasami, J. Joseph, B. George, and M. Sivaprakasam, “Continuous weight monitoring system for icu beds using air-filled mattresses/pads: a proof of concept,” in Medical Measurements and Applications, MeMeA 2019 - Symposium Proceedings, 2019, pp. 1–5.

110. V. R. Kiran, V. V. Abhidev, P. M. Nabeel, J. Joseph, M. Sivaprakasam, and M. I. Shah, “Arterial stiffness in elastic and muscular arteries: measurement using artsens pen,” in Medical Measurements and Applications, MeMeA 2019 - Symposium Proceedings, 2019, pp. 1–5.

111. V. Raj Kiran, J. Joseph, P. M. Nabeel, H. Frese, M. Sivaprakasam, and M. I. Shah, “Analytic phase based approach for arterial diameter evaluation using a-mode ultrasound frames,” in Medical Measurements and Applications, MeMeA 2019 - Symposium Proceedings, 2019, pp. 1–5.

112. T. P. Kakarla, K. A. Varma, S. P. Preejith, J. Joseph, and M. Sivaprakasam, “Accuracy Enhancement of Total Force by Capacitive Insoles,” in Medical Measurements and Applications, MeMeA 2019 - Symposium Proceedings, 2019, pp. 1–6.

113. R. Manoj, P. M. Nabeel, R. V. Kiran, J. Joseph, and M. Sivaprakasam, “Cuffless evaluation of arterial pressure waveform using flexible force sensor: a proof of principle,” in Medical Measurements and Applications, MeMeA 2019 - Symposium Proceedings, 2019, pp. 1–6.

114. V. Raj Kiran, P. M. Nabeel, J. Joseph, H. Frese, and M. Sivaprakasam, “Multimodal image-free ultrasound technique for evaluation of arterial viscoelastic properties: a feasibility study,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2019, pp. 5034–5037.

115. G. Kompella et al., “Segmentation of femoral cartilage from knee ultrasound images using mask r-cnn,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2019, pp. 966–969.

116. R. Arathy, P. M. Nabeel, J. Joseph, V. V. Abhidev, and M. Sivaprakasam, “Continuous assessment of carotid diameter using an accelerometer patch probe for ambulatory arterial stiffness monitoring,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2019, pp. 5038–5041.

117. B. Murugesan, K. Sarveswaran, S. M. Shankaranarayana, K. Ram, J. Joseph, and M. Sivaprakasam, “Psi-net: shape and boundary aware joint multi-task deep network for medical image segmentation,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2019, pp. 7223–7226.

118. R. Aathy, P. M. Nabeel, J. Joseph, V. Abhidev, and M. Sivaprakasam, “Evaluation of arterial diameter by mathematical transformation of APG for ambulatory stiffness,” in 2019 Computing in Cardiology Conference (CinC), 2019, vol. 45, pp. 1–4.

119. P. M. Nabeel, V. Kiran Raj, J. Joseph, and M. Sivaprakasam, “Determination of incremental local pulse wave velocity using arterial diameter waveform: mathematical modeling and practical implementation,” in 2019 Computing in Cardiology Conference (CinC), 2019, vol. 45, pp. 1–4.

120. P. M. Nabeel, R. K. V, J. Joseph, and M. Sivaprakasam, “Local evaluation of variation in pulse wave velocity over the cardiac cycle using single - element ultrasound transducer,” in 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018, pp. 4560–4563.

121. N. J. Kumar, B. George, S. Member, and M. Sivaprakasam, “Feasibility study of a syringe angulation measurement system suitable for ophthalmic regional anesthesia training,” in 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018, pp. 965–968.

122. N. J. Kumar, B. George, S. Member, and M. Sivaprakasam, “Development of a load-cell based palpation sensor suitable for ophthalmic anesthesia training,” in 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018, pp. 929–932.

123. R. Arathy, P. M. Nabeel, J. Joseph, and M. Sivaprakasam, “Carotid local pulse wave velocity measurement using dual element accelerometric patch probe,” in 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018, pp. 4571–4574.

124. A. R. A, S. P. Preejith, V. S. Raja, J. Joseph, and M. Sivaprakasam, “Clinical validation of a wearable respiratory rate device for neonatal monitoring,” in 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018, pp. 1628–1631.

125. P. M. Nabeel, V. Raj Kiran, J. Joseph, and M. Sivaprakasam, “Non-Invasive Assessment of Local Pulse Wave Velocity as Function of Arterial Pressure,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), Rome, Italy, 2018, pp. 1–6.

126. V. P. Karthik, J. Joseph, and M. Sivaprakasam, “Measurement of Left Ventricular Parameters using Ultrasound Transducer – a preliminary study,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), Rome, Italy, 2018, pp. 1–6.

127. A. C. Ganesh et al., “Post-Stroke Rehabilitation Monitoring Using Wireless Surface Electromyography: A Case Study,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), Rome, Italy, 2018, pp. 1–6.

128. V. Raj Kiran, P. M. Nabeel, J. Joseph, M. I. Shah, and M. Sivaprakasam, “Measurement of Arterial Young’ s Elastic Modulus using ARTSENS Pen,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), Rome, Italy, 2018, pp. 1–6.

129. L. P. Bheemavarapu, M. I. Shah, R. Ramanathan, and M. Sivaprakasam, “Intelligent Pipetting System Towards Automatic Liquid Handling Applications,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), Rome, Italy, 2018, pp. 1–6.

130. S. Amalan et al., “Electrodermal Activity based Classification of Induced Stress in a Controlled Setting,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), Rome, Italy, 2018, pp. 1–6.

131. B. Murugesan et al., “ECGNet : Deep Network for Arrhythmia Classification,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), Rome, Italy, 2018, pp. 1–6.

132. A. S. Anusha, S. P. Preejith, T. J. Akl, J. Joseph, and M. Sivaprakasam, “Dry Electrode Optimization for Wrist-based Electrodermal Activity Monitoring,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), Rome, Italy, 2018, pp. 1–6.

133. A. Kiruthiga et al., “Reflectance Pulse Oximetry for Blood Oxygen Saturation Measurement from Diverse Locations - A Preliminary Analysis,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), Rome, Italy, 2018, pp. 1–6.

134. V. Raj Kiran, P. M. Nabeel, J. Joseph, and M. Sivaprakasam, “Evaluation of Local Pulse Wave Velocity using an Image Free Ultrasound Technique,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), Rome, Italy, 2018, pp. 1–6.

135. R. Arathy, P. M. Nabeel, J. Joseph, and M. Sivaprakasam, “Vascular Wall Stiffness Indices Detection Using an Accelerometer-Based System,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), Rome, Italy, 2018, pp. 1–6.

136. P. M. Nabeel, V. Raj Kiran, J. Joseph, and M. Sivaprakasam, “Local Pulse Wave Velocity and Cuffless Blood Pressure Assessment using ARTSENS,” in 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Seogwipo, 2018, p. 1.

137. V. Raj Kiran, P. M. Nabeel, J. Joseph, and M. Sivaprakasam, “Non-invasive assessment of arterial incremental elastic modulus variations within a cardiac cycle,” in 13th Russian-German Conference on Biomedical Engineering (RGC), 2018, pp. 108–111.

138. P. M. Nabeel, S. Venkatramanan, J. Joseph, and M. Sivaprakasam, “Hemodynamic Interventions for Inducing Blood Pressure Variation in Laboratory Settings,” in 13th Russian-German Conference on Biomedical Engineering (RGC), 2018, pp. 104–107.

139. R. Dhinesh, S. P. Preejith, and M. Sivaprakasam, “Tennis serve correction using a performance improvement platform,” in IEEE 6th International Conference on Serious Games and Applications for Health (SeGAH), Vienna, 2018, pp. 1–7.

140. V. Raj Kiran, P. M. Nabeel, J. Joseph, S. Venkatramanan, M. I. Shah, and M. Sivaprakasam, “An in-vivo study on intra-day variations in vascular stiffness using ARTSENS Pen,” in 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018, pp. 4575–4578.

141. P. M. Nabeel, J. Joseph, and M. Sivaprakasam, “Variation in local pulse wave velocity over the cardiac cycle: in-vivo validation using dual-MPG arterial compliance probe,” in 13th Russian-German Conference on Biomedical Engineering (RGC), 2018, pp. 100–103.

142. P. M. Nabeel, S. Karthik, J. Joseph, M. Chenniappan, and M. Sivaprakasam, “Cuffless Blood Pressure Measurement Using Ultrasound and Dual Photoplethysmograph Transducer,” in 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Seogwipo, 2017, p. 1.

143. P. Mohapatra, S. P. Preejith, and M. Sivaprakasam, “A Novel Sensor for Wrist Based Optical Heart Rate Monitor,” in IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Turin, 2017, pp. 1–6.

144. P. M. Nabeel, S. Karthik, J. Joseph, and M. Sivaprakasam, “Experimental validation of dual PPG local pulse wave velocity probe,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), Rochester, MN, 2017, pp. 408–413.

145. V. Raj Kiran, J. Joseph, M. I. Shah, and M. Sivaprakasam, “An image-free ultrasound method to estimate artery wall thickness surrogate for screening,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), Rochester, MN, 2017, pp. 326–331.

146. A. S. Anusha, J. Joy, S. P. Preejith, J. Joseph, and M. Sivaprakasam, “Differential effects of physical and psychological stressors on electrodermal activity,” in 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Seogwipo, 2017, pp. 4549–4552.

147. J. Joseph, J. K. Vasan, M. I. Shah, M. Sivaprakasam, and L. Mahajan, “IQuantTM Analyser: A rapid quantitative immunoassay reader,” in 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Seogwipo, 2017, pp. 3732–3736.

148. R. Arathy, P. M. Nabeel, J. Joseph, M. Sivaprakasam, and V. Awasthi, “An accelerometer probe for local pulse wave velocity measurement,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), Rochester, MN, 2017, pp. 1–6.

149. M. I. Shah, J. Joseph, U. S. Sanne, and M. Sivaprakasam, “PhoneQuant: A smartphone-based quantitative immunoassay analyser,” in 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Seogwipo, 2017, pp. 4247–4250.

150. A. S. Anusha, S. P. Preejith, J. Joseph, and M. Sivaprakasam, “Design and implementation of a hand-to-hand multifrequency bioimpedance measurement scheme for Total Body Water estimation,” in IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Turin, 2017, pp. 1–6.

151. P. M. Nabeel, S. Karthik, J. Joseph, and M. Sivaprakasam, “Measurement of carotid blood pressure and local pulse wave velocity changes during cuff induced hyperemia,” in 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Seogwipo, 2017, pp. 1700–1703.

152. M. I. Shah, J. Joseph, R. Aishvarya, and M. Sivaprakasam, “ImageQuant: An image-based quantitative Immunoassay Analyzer,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), Rochester, MN, 2017, pp. 420–425.

153. M. Aparna, M. Sivaprakasam, B. George, and V. J. Kumar, “Self-Balancing Signal Conditioning Circuit for a Novel Noncontact Inductive Displacement Sensor,” in IEEE Transactions on Instrumentation and Measurement, 2017, vol. 66, no. 5, pp. 985–991.

154. V. Raj Kiran, P. M. Nabeel, J. Joseph, and M. Sivaprakasam, “Brachial artery stiffness estimation using ARTSENS,” in 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Seogwipo, 2017, pp. 262–265.

155. R. K. Ganesh, A. Jeelani, S. P. Preejith, S. Nagaiyan, J. Joseph, and M. Sivaprakasam, “Design, Development and Clinical Validation of a Novel Urine Output Monitor,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), Rochester, MN, 2017, pp. 188–192.

156. N. J. Kumar, B. George, and M. Sivaprakasam, “An intelligent mannequin based system with real-time view of regional ophthalmic blocks,” in IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Turin, 2017, pp. 1–6.

157. S. P. Preejith, A. Jeelani, P. Maniyarl, J. Joseph, and M. Sivaprakasam, “Accelerometer based system for continuous respiratory rate monitoring,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), Rochester, MN, 2017, pp. 171–176.

158. B. S. Renganathan, S. P. Preejith, S. Nagaiyan, J. Joseph, and M. Sivaprakasam, “System design to prevent Ventilator Associated Pneumonia,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), Rochester, MN, 2017, pp. 165–170.

159. S. P. Preejith, R. Hajare, J. Joseph, and M. Sivaprakasam, “High altitude study on finger reflectance SpO2,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), Rochester, MN, 2017, pp. 198–203.

160. S. M. Shankaranarayana, K. Ram, A. Vinekar, K. Mitra, and M. Sivaprakasam, “Restoration of Neonatal Retinal Images,” in Ophthalmic Medical Image Analysis International Workshop, 2016, pp. 49–56.

161. J. Rezuana Bai, M. Sivaprakasam, and V. J. Kumar, “Non-invasive Measurement of Hemoglobin Concentration Using Magnetic Plethysmo Gram,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), Benevento, 2016, pp. 1–6.

162. S. P. Preejith, A. S. Ravindran, R. Hajare, J. Joseph, and M. Sivaprakasam, “A Wrist Worn SpO 2 Monitor with Custom Finger Probe for Motion Artifact Removal,” in 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, 2016, pp. 5777–5780.

163. S. P. Preejith, R. Dhinesh, J. Joseph, and M. Sivaprakasam, “Wearable ECG platform for continuous cardiac monitoring,” in 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, 2016, pp. 623–626.

164. B. S. Renganathan, S. P. Preejith, S. Nagaiyan, J. Joseph, and M. Sivaprakasam, “A novel system to tackle hospital acquired pressure ulcers,” in 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, 2016, pp. 4780–4783.

165. A. K. Sahani, M. I. Shah, R. Radhakrishnan, J. Joseph, and M. Sivaprakasam, “An imageless ultrasound device to measure local and regional arterial stiffness,” IEEE Trans. Biomed. Circuits Syst., vol. 10, no. 1, pp. 200–208, 2016.

166. K. B. Chowdhury, J. Joseph, N. Reddy, J. K. Vasan, and M. Sivaprakasam, “An image based quantitative fluorescence immunoassay reader for HbA1c testing: Calibration & Repeatability study,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), Benevento, 2016, pp. 1–6.

167. A. S. Anusha, S. P. Preejith, J. Joseph, and M. Sivaprakasam, “Design and preliminary analysis of a multifrequency bioimpedance measurement scheme,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), Benevento, 2016, pp. 1–6.

168. S. Karthik, M. Sivaprakasam, J. Joseph, and S. P. Preejith, “A reflectance photoplethysmography based device to detect circulatory disruptions,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), Benevento, 2016, pp. 1–6.

169. M. I. Shah, J. Joseph, T. Aryasree, and M. Sivaprakasam, “ARTSENS® mobile: A portable image-free platform for automated evaluation of vascular stiffness,” in 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, 2016, pp. 5204–5207.

170. K. B. Chowdhury, J. Joseph, J. K. Vasan, and M. Sivaprakasam, “ImQuant - An image based fluorescence reader for quantitative lateral flow immunoassays,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2016, vol. 2016-Octob.

171. S. P. Preejith, A. Annamol, J. Joseph, and M. Sivaprakasam, “Design, development and clinical validation of a wrist-based optical heart rate monitor,” in IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Turin, 2016, pp. 1–6.

172. P. M. Nabeel, J. Joseph, V. Awasthi, and M. Sivaprakasam, “Single source photoplethysmograph transducer for local pulse wave velocity measurement,” in 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, 2016, pp. 4256–4259.

173. J. Joseph, P. M. Nabeel, and M. Sivaprakasam, “Cuffless evaluation of pulse pressure with arterial compliance probe,” in 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, 2016, p. 1.

174. J. Joseph, P. M. Nabeel, M. I. Shah, and M. Sivaprakasam, “Arterial compliance probe for calibration free pulse pressure measurement,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), Benevento, 2016, pp. 1–6.

175. J. Joseph, M. I. Shah, and M. Sivaprakasam, “ARTSENS® Pen: A portable, image-free device for automated evaluation of vascular stiffness,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), Benevento, 2016, pp. 1–6.

176. J. Joseph, P. M. Nabeel, and M. Sivaprakasam, “A calibration free method for cuff less evaluation of pulse pressure,” in 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, 2015, p. 1.

177. A. Ramaswamy, K. Ram, N. Joshi, and M. Sivaprakasam, “A Polar Map Based Approach Using Retinal Fundus Images for Glaucoma Detection,” in Ophthalmic Medical Image Analysis International WorkshopWorkshop, 2015, pp. 145–152.

178. J. Joseph, A. S. Thrivikraman, R. Radhakrishnan, and M. Sivaprakasam, “ARTSENSTouch - A portable device for evaluation of carotid artery stiffness.,” in 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, 2015, pp. 3755–3758.

179. V. Sundaresan, K. Ram, K. Selvaraj, N. Joshi, and M. Sivaprakasam, “Adaptive super-candidate based approach for detection and classification of drusen on retinal fundus images,” in Ophthalmic Medical Image Analysis International Workshop, 2015, pp. 81–88.

180. G. Gupta, K. Selvaraj, K. Ram, N. Joshi, M. Sivaprakasam, and R. Gandhi, “Computer-assisted identification of proliferative diabetic retinopathy in color retinal images,” in 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, 2015, pp. 5642–5645.

181. V. Sundaresan, K. Ram, N. Joshi, M. Sivaprakasam, and R. Gandhi, “Computer-assisted grading of diabetic macular edema on retinal color fundus images,” in 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, 2015, vol. 4330–4333.

182. B. Mukherjee, B. George, and M. Sivaprakasam, “A simple measurement scheme for multiple capacitors and its application to an ophthalmic anesthesia training system,” in IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, Pisa, 2015, pp. 458–463.

183. P. M. Nabeel, J. Joseph, and M. Sivaprakasam, “Arterial compliance probe for local blood pulse wave velocity measurement,” in 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, 2015, pp. 5712–5715.

184. K. B. Chowdhury, J. Joseph, and M. Sivaprakasam, “Image based quantitative reader for Lateral flow immunofluorescence assay,” in 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, 2015, pp. 1223–1226.

185. T. Ganesh, J. Joseph, B. Bhikkaji, and M. Sivaprakasam, “Sparse models for determining arterial dynamics,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, 2015, pp. 852–856.

186. A. K. Sahani, V. Ravi, and M. Sivaprakasam, “Automatic Estimation of Carotid Arterial Pressure in ARTSENS,” in Annual IEEE India Conference (INDICON), Pune, 2014, pp. 1–6.

187. G. Gupta, K. Ram, K. Selvaraj, N. Joshi, M. Sivaprakasam, and R. Gandhi, “Detection of retinal hemorrhages in the presence of blood vessels,” in Ophthalmic Medical Image Analysis First International Workshop, 2014, pp. 105–112.

188. M. Sakthivel, B. George, and M. Sivaprakasam, “Packaging and evaluation of an online tool for locating metal shrapnel during surgery,” in Annual IEEE India Conference (INDICON), Pune, 2014, pp. 1–6.

189. V. Sundaresan, K. Ram, N. Joshi, M. Sivaprakasam, and R. Gandhi, “Integrated approach for accurate localization of optic disc and macula,” in Ophthalmic Medical Image Analysis International Workshop, 2014, pp. 97–104.

190. A. Nair, S. Ramanarayanan, S. Ahlawat, S. Koushika, N. Joshi, and M. Sivaprakasam, “Axonal transport velocity estimation from kymographs based on curvilinear feature extraction and spline fitting,” in 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago, IL, 2014, pp. 4240–4243.

191. J. Joseph, A. S. Thrivikraman, C. Boobalan, M. Sivaprakasam, and M. I. Shah, “Image-free evaluation of carotid artery stiffness using ARTSENS: A repeatability study,” in 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago, IL, 2014, pp. 4799–4802.

192. M. Sakthivel, B. George, M. Sivaprakasam, and V. J. Kumar, “Locating metal shrapnel in human body using GMR sensors,” in IEEE International Symposium on Medical Measurements and Applications (MeMeA), Lisboa, 2014, pp. 1–5.

193. M. I. Shah, J. Joseph, and M. Sivaprakasam, “Ultrasound signal quality parameterization for image-free evaluation of arterial stiffness,” in 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago, IL, 2014, pp. 2326–2329.

194. A. K. Sahani, M. I. Shah, J. Joseph, and M. Sivaprakasam, “An improved method for detection of carotid walls in ARTSENS,” in 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago, IL, 2014, pp. 1957–1960.

195. S. P. Preejith, M. Sivaprakasam, and J. Venkatakrishnan, “An ocular compression device for reduction of elevated post anesthetic intraocular pressure,” in 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago, IL, 2014, pp. 4819–4822.

196. B. Mukherjee, B. George, and M. Sivaprakasam, “An ophthalmic anesthesia training system using integrated capacitive and hall effect sensors,” in IEEE Transactions on Instrumentation and Measurement, 2014, vol. 63, no. 5, pp. 1153–1162.

197. S. Karthik, J. Joseph, and M. Sivaprakasam, “A study on the use of PPG in quantifying circulatory disruptions,” in 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago, IL, 2014, pp. 1739–1742.

198. P. M. Nabeel, J. Joseph, and M. Sivaprakasam, “Magnetic plethysmograph transducers for local blood pulse wave velocity measurement,” in 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago, IL, 2014, pp. 1953–1956.

199. M. I. Shah, J. Joseph, and M. Sivaprakasam, “Vascular compliance probe with integrated ECG for image-free evaluation of arterial stiffness,” in IEEE International Symposium on Circuits and Systems (ISCAS), Melbourne, 2014, pp. 1384–1387.

200. G. Gaurav, M. Sivaprakasam, and V. J. Kumar, “Apnea sensing using photoplethysmography,” in International Conference on Sensing Technology (ICST), Wellington, 2013, pp. 285–288.

201. A. K. Sahani, J. Joseph, and M. Sivaprakasam, “Automatic measurement of lumen diameter of carotid artery in A-Mode ultrasound,” in 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, 2013, pp. 3873–3876.

202. B. Mukherjee, B. George, and M. Sivaprakasam, “A syringe injection rate detector employing a dual Hall-effect sensor configuration,” in 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, 2013, pp. 4734–4737.

203. J. Joseph, E. A. Thomas, M. Sivaprakasam, and S. Suresh, “ARTSENS - An image-free system for noninvasive evaluation of arterial compliance,” in 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, 2013, pp. 4054–4057.

204. M. Sakthivel, B. George, and M. Sivaprakasam, “A GMR sensor based guiding tool for location of metal shrapnel during surgery,” in International Conference on Sensing Technology (ICST), Wellington, 2013, pp. 640–644.

205. B. Mukherjee, B. George, and M. Sivaprakasam, “An intelligent ophthalmic regional anesthesia training system based on capacitive sensing,” in IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Minneapolis, MN, 2013, pp. 889–893.

206. B. Mukherjee, B. George, and M. Sivaprakasam, “An efficient capacitive sensing scheme for an ophthalmic regional anesthesia training system,” in 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, 2013, pp. 894–897.

207. A. Chandrasekhar, J. Joseph, and M. Sivaprakasam, “Local Pulse Wave Velocity estimation using Magnetic Plethysmograph,” in 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, 2013, pp. 2287–2290.

208. M. Sakthivel, B. George, V. J. Kumar, and M. Sivaprakasam, “A new inductive proximity sensor as a guiding tool for removing metal shrapnel during surgery,” in IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Minneapolis, MN, 2013, pp. 53–57.

209. A. K. Sahani, J. Joseph, and M. Sivaprakasam, “Automated system for imageless evaluation of arterial compliance.,” in 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Diego, CA, 2012, pp. 227–231.

210. B. Mukherjee, B. George, and M. Sivaprakasam, “A Hall Effect sensor based syringe injection rate detector,” in International Conference on Sensing Technology (ICST), Kolkata, 2012, pp. 450–453.

211. A. Chandrasekhar, J. Joseph, and M. Sivaprakasam, “A novel magnetic plethysmograph for non-invasive evaluation of arterial compliance,” in 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Diego, CA, 2012, pp. 1169–1172.

212. B. Mukherjee, B. George, M. Sivaprakasam, and J. Venkatakrishnan, “Eye-POD: A novel simulation platform for regional orbital block training,” in 3rd World Congress on Ophthalmic Anesthesia, 2012, p. 1.

213. B. Mukherjee, B. George, M. Sivaprakasam, V. J. Kumar, and J. Venkatakrishnan, “A capacitive array sensing based training system for ophthalmic anesthesia,” in International Conference on Sensing Technology, Palmerston North, 2011, pp. 623–627.

PhD and Postdoc work

        Journals and Book chapters

1. K. Cockerham et al., “Application of MEMS technology and engineering in medicine: A new paradigm for facial muscle reanimation,” Expert Rev. Med. Devices, vol. 5, no. 3, pp. 371–381, 2008.

2. M. S. Chae, W. Liu, and M. Sivaprakasam, “Design optimization for integrated neural recording systems,” IEEE J. Solid-State Circuits, vol. 43, no. 9, pp. 1931–1939, 2008.

3. W. Liu and M. Sivaprakasam, “IC Technology Challenges for Implantable Devices,” Futur. Fab Int., vol. 20, pp. 17–19, 2006.

4. G. Wang, W. Liu, M. Sivaprakasam, and A. Kendir, Gurhan, “Design and analysis of an adaptive transcutaneous power telemetry for biomedical implants,” IEEE Trans. Circuits Syst. I Regul. Pap., vol. 52, no. 10, pp. 2109–2117, 2005.

5. A. Kendir, Gurhan et al., “An optimal design methodology for inductive power link with Class-E amplifier,” IEEE Trans. Circuits Syst. I Regul. Pap., vol. 52, no. 5, pp. 857–866, 2005.

6. M. Sivaprakasam, W. Liu, M. S. Humayun, and J. D. Weiland, “A variable range Bi-phasic current stimulus driver circuitry for an implantable retinal prosthetic device,” IEEE J. Solid-State Circuits, vol. 40, no. 3, pp. 763–771, 2005.

7. M. Sivaprakasam, W. Liu, G. Wang, J. D. Weiland, and M. S. Humayun, “Architecture tradeoffs in high-density microstimulators for retinal prosthesis,” IEEE Trans. Circuits Syst. I Regul. Pap., vol. 52, no. 2629–2624, 2005.

8. W. Liu, M. Sivaprakasam, G. Wang, M. Zhou, J. Granacki, J. LaCoss, J. Wills, “Implantable Biomimetic Microelectronics Systems Design,” IEEE Engineering in Medicine and Biology Magazine, vol. 24, no. 5, pp. 66–74, 2005.

9. W. Liu, M. Sivaprakasam, P. R. Singh, R. Bashirullah, and G. Wang, “Electronic Visual Prosthesis,” Artif. Organs, vol. 27, no. 11, pp. 986–995, 2003.

        Conferences

1. M. Sivaprakasam and R. Agrawal, “Microelectronic Implants for Restoring Vision in Retinal Blindness,” in INAE-ISAAC Conference on Alternative Communication and Assistive Technology for Persons with Disabilities, 2009.

2. M. Sivaprakasam, S. Padmaja, H, and S. Seshsai, V, “Cost Effective Cochlear Implants for India,” in Cost Effective Cochlear Implants for India,” INAE-ISAAC Conference on Alternative Communication and Assistive Technology for Persons with Disabilities, 2009.

3. J. D. Weiland et al., “Systems design of a high resolution retinal prosthesis,” in Technical Digest - International Electron Devices Meeting, IEDM, 2008.

4. S. Chae, Moo, K. Chen, W. Liu, J. Kim, and M. Sivaprakasam, “A 4-channel wearable wireless neural recording system,” in Proceedings - IEEE International Symposium on Circuits and Systems, 2008, pp. 1760–1763.

5. S. Chae, Moo, W. Liu, and M. Sivaprakasam, “Design optimization for integrated neural recording systems,” in IEEE Journal of Solid-State Circuits, 2008, vol. 43, no. 9, pp. 1931–1939.

6. J. Kim, M. Chae, M. Sivaprakasam, and W. Liu, “An Integrated High Voltage Stimulator for High Density Neural Interfaces,” in BMES Annual Meeting, 2008.

7. S. Chae, Moo et al., “A 128-channel 6mW wireless neural recording IC with on-the-fly spike sorting and UWB Tansmitter,” in Digest of Technical Papers - IEEE International Solid-State Circuits Conference, 2008, vol. 51, pp. 146–148.

8. A. Olmos et al., “The Effect of Chronic Denervation on Electrical, Chemical, and Electrochemical Stimulation Efficacy,” in BMES Annual Fall Meeting, 2007.

9. M. Chae, W. Liu, and M. Sivaprakasam, “An Integrated Multi -Channel Neural Recording System,” in BMES Annual Fall Meeting, 2007.

10. M. Gharib, A. Olmos, M. Sivaprakasam, W. Liu, K. Cockerham, and D. Liepmann, “Development of an Indwelling Microstimulator for Neuromuscular Disease,” in 8th Annual UC Systemwide Bioengineering Symposium, 2007.

11. M. Oehlberg et al., “An Implantable Microsystem for Reanimation of Eyelid Blink,” in 8th Annual UC Systemwide Bioengineering Symposium, 2007.

12. M. Gharib, A. Olmos, M. Sivaprakasam, D. Liepmann, K. Cockerham, and W. Liu, “Development of an Indwelling Microstimulator for Neuromuscular Disease,” in BMES Annual Fall Meeting, 2007.

13. M. Sivaprakasam, W. Liu, G. Wang, M. Zhou, J. D. Weiland, and M. S. Humayun, “Challenges in system and circuit design for high density retinal prosthesis,” in 2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006, 2006.

14. G. Wang, W. Liu, M. Sivaprakasam, M. Zhou, J. D. Weiland, and M. S. Humayun, “A dual band wireless power and data telemetry for retinal prosthesis,” in Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, 2006, pp. 4392–4395.

15. M. Zhou et al., “A transcutaneous data telemetry system tolerant to power telemetry interference,” in Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, 2006, pp. 5884–5887.

16. M. Sivaprakasam, W. Liu, G. Wang, L. Hoang, J. D. Weiland, and M. S. Humayun, “Towards a modular 32 × 32 pixel stimulator for retinal prosthesis,” in 2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006, 2006.

17. W. Liu, M. Sivaprakasam, G. Wang, and S. Chae, Moo, “A Neural Recording System for Monitoring Shark Behavior,” in 2006 IEEE International Symposium on Circuits and Systems, 2006, pp. 4123–4126.

18. G. Wang, W. Liu, M. Sivaprakasam, M. S. Humayun, and J. D. Weiland, “Power supply topologies for biphasic stimulation in inductively powered implants,” in Proceedings - IEEE International Symposium on Circuits and Systems, 2005, pp. 2743–2746.

19. M. Sivaprakasam, W. Liu, G. Wang, J. D. Weiland, and M. S. Humayun, “A programmable discharge circuitry with current limiting capability for a retinal prosthesis,” in Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, 2005, vol. 7 VOLS, pp. 5234–5237.

20. M. Zhou, W. Liu, and M. Sivaprakasam, “A closed-form delay formula for on-chip RLC interconnects in current-mode signaling,” in Proceedings - IEEE International Symposium on Circuits and Systems, 2005, pp. 1082–1085.

21. W. Liu, W. Fink, M. A. Tarbell, and M. Sivaprakasam, “Image processing and interface for retinal visual prostheses,” in Proceedings - IEEE International Symposium on Circuits and Systems, 2005, pp. 2927–2930.

22. G. Wang, W. Liu, M. Sivaprakasam, J. D. Weiland, and M. S. Humayun, “High efficiency wireless power transmission with digitally configurable stimulation voltage for retinal prosthesis,” in 2nd International IEEE EMBS Conference on Neural Engineering, 2005, vol. 2005, pp. v–viii.

23. G. Wang, W. Liu, M. Sivaprakasam, M. Zhou, J. D. Weiland, and M. S. Humayun, “A wireless phase shift keying transmitter with Q-independent phase transition time,” in Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, 2005, vol. 7 VOLS, pp. 5238–5241.

24. E. Basham and M. Sivaprakasam, “Functional Magnetic Stimulation for and Epiretinal Prosthesisg, Abstract B254, May 2005.,” in Association for Research in Vision and Ophthalmology Annual Meeting, Abstract B254, 2005.

25. W. Liu, M. Sivaprakasam, G. Wang, M. Zhou, J. D. Weiland, and M. S. Humayun, “Challenges in Realizing a Chronic High Resolution Artificial Sight Device,” in Department of Energy (DOE) International Symposium on Artificial Sight, 2005.

26. W. Liu, G. Wang, M. Zhou, J. D. Weiland, and M. S. Humayun, ““Microelectronics for an Implantable Epiretinal Prosthesis,” in Association for Research in Vision and Ophthalmology Annual Meeting, Abstract B295, 2005.

27. M. Sivaprakasam, W. Liu, J. D. Weiland, and M. S. Humayun, “Power efficient multiple voltage stimulation for implantable retinal prosthesis,” in 2005 3rd IEEE/EMBS Special Topic Conference on Microtechnology in Medicine and Biology, 2005, vol. 2005, no. May, pp. 104–107.

28. M. Sivaprakasam, W. Liu, G. Wang, Z. Mingcui, J. D. Weiland, and M. S. Humayun, “Architecture Tradeoffs in High-Density Micro stimulators for Retinal Prosthesis.,” in IEEE Transactions on Circuits & Systems. Part I: Regular Papers, 2005, vol. 52, no. 12, pp. v–viii.

29. G. Wang et al., “A closed loop transcutaneous power transfer system for implantable devices with enhanced stability,” in Proceedings - IEEE International Symposium on Circuits and Systems, 2004, vol. 4, pp. 17–20.

30. M. Kazemi et al., “A test microchip for evaluation of hermetic packaging technology for biomedical prosthetic implants,” in Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, 2004, vol. 26 VI, pp. 4093–4095.

31. P. R. Singh, W. Liu, M. Sivaprakasam, M. S. Humayun, and J. D. Weiland, “A Matched Biphasic Microstimulator For An Implantable Retinal Prosthetic Device,” in IEEE ISCAS, 2004, pp. 1–4.

32. R. Bashirullah et al., “A smart bi-directional telemetry unit for retinal prosthetic device,” in Proceedings - IEEE International Symposium on Circuits and Systems, 2003, vol. 5, pp. 5–8.