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Self Pre-Training with Masked Autoencoders for Medical Image Classification and Segmentation., , , , , and . ISBI, page 1-6. IEEE, (2023)Predicting COVID-19 Lung Infiltrate Progression on Chest Radiographs Using Spatio-temporal LSTM based Encoder-Decoder Network., , , , , , , , , and 1 other author(s). MIDL, volume 143 of Proceedings of Machine Learning Research, page 384-398. PMLR, (2021)Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations., , , , and . CVPR, page 18802-18813. IEEE, (2022)Attention-Based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction., , , , , , , and . MICCAI (5), volume 12905 of Lecture Notes in Computer Science, page 824-833. Springer, (2021)Enhancing Modality-Agnostic Representations via Meta-learning for Brain Tumor Segmentation., , , , , and . ICCV, page 21358-21368. IEEE, (2023)SAMU: An Efficient and Promptable Foundation Model for Medical Image Segmentation., , , , and . MedAGI@MICCAI, volume 15184 of Lecture Notes in Computer Science, page 134-142. Springer, (2024)Chest Radiograph Disentanglement for COVID-19 Outcome Prediction., , , , , , and . MICCAI (7), volume 12907 of Lecture Notes in Computer Science, page 345-355. Springer, (2021)Digital Landscape of COVID-19 Testing: Challenges and Opportunities., , , , , , , , , and 16 other author(s). CoRR, (2020)HoG-Net: Hierarchical Multi-organ Graph Network for Head and Neck Cancer Recurrence Prediction from CT Images., , , , and . MICCAI (5), volume 15005 of Lecture Notes in Computer Science, page 317-327. Springer, (2024)Evolution of chest radiograph radiomics and association with respiratory and inflammatory parameters in COVID-19 patients undergoing prone ventilation: preliminary findings., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)