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Local characterization of neovascularization and identification of proliferative diabetic retinopathy in retinal fundus images., , , , , and . Comput. Medical Imaging Graph., (2017)KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflow., , , , and . MIDL, volume 121 of Proceedings of Machine Learning Research, page 515-526. PMLR, (2020)Dual-Encoder-Unet For Fast Mri Reconstruction., , , and . ISBI Workshops, page 1-4. IEEE, (2020)Deep learning based non-contact physiological monitoring in Neonatal Intensive Care Unit., , , , , , , and . EMBC, page 1327-1330. IEEE, (2022)Validation of a Customized Algorithm for the Detection of Diabetic Retinopathy from Single-Field Fundus Photographs in a Tertiary Eye Care Hospital., , , , and . MedInfo, volume 264 of Studies in Health Technology and Informatics, page 1504-1505. IOS Press, (2019)Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentation., , , , , and . EMBC, page 7223-7226. IEEE, (2019)RespNet: A deep learning model for extraction of respiration from photoplethysmogram., , , , , , , and . CoRR, (2019)Curvature orientation histograms for detection and matching of vascular landmarks in retinal images., , and . Medical Imaging: Image Processing, volume 7259 of SPIE Proceedings, page 72591J. SPIE, (2009)Early detection of retinopathy of prematurity stage using deep learning approach., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109502Z. SPIE, (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)