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The Past, Current, and Future of Neonatal Intensive Care Units with Artificial Intelligence., and . CoRR, (2023)Transformer Based Generative Adversarial Network for Liver Segmentation., , , , , , , , and . ICIAP Workshops, volume 13374 of Lecture Notes in Computer Science, page 340-347. Springer, (2022)An Efficient Multi-Scale Fusion Network for 3D Organ at Risk (OAR) Segmentation., , , , , and . CoRR, (2022)A Critical Appraisal of Data Augmentation Methods for Imaging-Based Medical Diagnosis Applications., , , , , , , , , and . CoRR, (2023)Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis., , , , , , , , , and . MLMI@MICCAI, volume 12966 of Lecture Notes in Computer Science, page 396-405. Springer, (2021)Selecting the Best Optimizers for Deep Learning based Medical Image Segmentation., , , and . CoRR, (2023)The past, current, and future of neonatal intensive care units with artificial intelligence: a systematic review., and . npj Digit. Medicine, (2023)GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification., , , , , , , , , and . WACV, page 2183-2192. IEEE, (2024)Ensuring Trustworthy Medical Artificial Intelligence through Ethical and Philosophical Principles., , , , , , , , , and 3 other author(s). CoRR, (2023)An Efficient Multi-Scale Fusion Network for 3D Organs at Risk (OARs) Segmentation., , , , , and . EMBC, page 1-4. IEEE, (2023)