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Joint shape learning and segmentation for medical images using a minimalistic deep network., , , , and . CoRR, (2019)ECGNet: Deep Network for Arrhythmia Classification., , , , , , and . MeMeA, page 1-6. IEEE, (2018)Deep Network for Capacitive ECG Denoising., , , , , , and . MeMeA, page 1-6. IEEE, (2019)Fundus Image Analysis for Age Related Macular Degeneration: ADAM-2020 Challenge Report.. CoRR, (2020)ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images., , , , , , , , , and 18 other author(s). CoRR, (2022)Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentation., , , , , and . EMBC, page 7223-7226. IEEE, (2019)Fully Convolutional Networks for Monocular Retinal Depth Estimation and Optic Disc-Cup Segmentation., , , and . IEEE J. Biomed. Health Informatics, 23 (4): 1417-1426 (2019)RespNet: A deep learning model for extraction of respiration from photoplethysmogram., , , , , , , and . CoRR, (2019)ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images., , , , , , , , , and 20 other author(s). IEEE Trans. Medical Imaging, 41 (10): 2828-2847 (2022)A Hybrid Sampling Methodology Based Cost Effective Active Learning for Tabular Data., , , , , and . COMSNETS, page 147-152. IEEE, (2024)