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TINC: Temporally Informed Non-contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes., , , , , and . MICCAI (2), volume 13432 of Lecture Notes in Computer Science, page 625-634. Springer, (2022)A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs., , , , , and . EMBC, page 1225-1228. IEEE, (2020)Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations., , , , , and . MICCAI (12), volume 15012 of Lecture Notes in Computer Science, page 196-206. Springer, (2024)End-to-End Learning of a Conditional Random Field for Intra-retinal Layer Segmentation in Optical Coherence Tomography., and . MIUA, volume 723 of Communications in Computer and Information Science, page 3-14. Springer, (2017)Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT: A PINNACLE Study Report., , , , , , , , , and 2 other author(s). OMIA@MICCAI, volume 14096 of Lecture Notes in Computer Science, page 132-141. Springer, (2023)RACE-Net: A Recurrent Neural Network for Biomedical Image Segmentation., and . IEEE J. Biomed. Health Informatics, 23 (3): 1151-1162 (2019)3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression From Longitudinal OCTs., , , , , , , , , and 3 other author(s). IEEE Trans. Medical Imaging, 43 (9): 3200-3210 (September 2024)Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT., , , , , , , , , and 1 other author(s). CoRR, (2024)Federated Learning for Site Aware Chest Radiograph Screening., , , and . ISBI, page 1077-1081. IEEE, (2021)Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening., , , , and . EMBC, page 1234-1237. IEEE, (2020)