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One Model to Synthesize Them All: Multi-contrast Multi-scale Transformer for Missing Data Imputation.

, , , , , and . CoRR, (2022)

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Disentangling Normal Aging From Severity of Disease via Weak Supervision on Longitudinal MRI., , , , and . IEEE Trans. Medical Imaging, 41 (10): 2558-2569 (2022)Low-count whole-body PET with deep learning in a multicenter and externally validated study., , , , , , , , , and 1 other author(s). npj Digit. Medicine, (2021)Task-GAN: Improving Generative Adversarial Network for Image Reconstruction., , , , , and . MLMIR@MICCAI, volume 11905 of Lecture Notes in Computer Science, page 193-204. Springer, (2019)Erroneous Resting-State fMRI Connectivity Maps Due to Prolonged Arterial Arrival Time and How to Fix Them., , , and . Brain Connect., 8 (6): 362-370 (2018)One Model to Synthesize Them All: Multi-contrast Multi-scale Transformer for Missing Data Imputation., , , , , and . CoRR, (2022)MRI Pulse Sequence Integration for Deep-Learning Based Brain Metastasis Segmentation., , , , , , , , , and 2 other author(s). CoRR, (2019)2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data., , , , , , , , , and 3 other author(s). Frontiers Neuroinformatics, (August 2022)LSOR: Longitudinally-Consistent Self-Organized Representation Learning., , , , , and . MICCAI (1), volume 14220 of Lecture Notes in Computer Science, page 279-289. Springer, (2023)Noise-Aware Standard-Dose PET Reconstruction Using General and Adaptive Robust Loss., , , , and . MLMI@MICCAI, volume 12436 of Lecture Notes in Computer Science, page 654-662. Springer, (2020)Handling missing MRI sequences in deep learning segmentation of brain metastases: a multicenter study., , , , , , , , , and 2 other author(s). npj Digit. Medicine, (2021)