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Deep Learning Techniques for Diabetic Retinopathy Classification: A Survey., , and . IEEE Access, (2022)Investigation of the Role of Feature Selection and Weighted Voting in Random Forests for 3-D Volumetric Segmentation., , , and . IEEE Trans. Medical Imaging, 33 (2): 258-271 (2014)Challenges in COVID-19 Chest X-Ray Classification: Problematic Data or Ineffective Approaches?, , , , and . CoRR, (2022)Is Contrastive Learning Suitable for Left Ventricular Segmentation in Echocardiographic Images?, , and . CoRR, (2022)Color Space-based HoVer-Net for Nuclei Instance Segmentation and Classification., , , and . CoRR, (2022)Lifelong Learning of Task-Parameter Relationships for Knowledge Transfer., , and . CVPR Workshops, page 2525-2534. IEEE, (2023)Contrastive Pretraining for Echocardiography Segmentation with Limited Data., , and . MIUA, volume 13413 of Lecture Notes in Computer Science, page 680-691. Springer, (2022)Automated 3D Ultrasound Biometry Planes Extraction for First Trimester Fetal Assessment., , , , , and . MLMI@MICCAI, volume 10019 of Lecture Notes in Computer Science, page 196-204. (2016)SEDA: Self-ensembling ViT with Defensive Distillation and Adversarial Training for Robust Chest X-Rays Classification., , , , and . DART@MICCAI, volume 14293 of Lecture Notes in Computer Science, page 126-135. Springer, (2023)Leveraging Self-supervised Learning for Fetal Cardiac Planes Classification Using Ultrasound Scan Videos., , , , , , , and . ASMUS@MICCAI, volume 14337 of Lecture Notes in Computer Science, page 68-78. Springer, (2023)