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

, , , , , и . CoRR, (2022)

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Disentangling Normal Aging From Severity of Disease via Weak Supervision on Longitudinal MRI., , , , и . IEEE Trans. Medical Imaging, 41 (10): 2558-2569 (2022)Low-count whole-body PET with deep learning in a multicenter and externally validated study., , , , , , , , , и 1 other автор(ы). npj Digit. Medicine, (2021)Task-GAN: Improving Generative Adversarial Network for Image Reconstruction., , , , , и . MLMIR@MICCAI, том 11905 из Lecture Notes in Computer Science, стр. 193-204. Springer, (2019)Handling Missing MRI Input Data in Deep Learning Segmentation of Brain Metastases: A Multi-Center Study., , , , , , , , , и 2 other автор(ы). CoRR, (2019)Non-inferiority of Deep Learning Model to Segment Acute Stroke on Non-contrast CT Compared to Neuroradiologists., , , , , , , , и . CoRR, (2022)Cerebrovascular reactivity measurements using simultaneous 15O-water PET and ASL MRI: Impacts of arterial transit time, labeling efficiency, and hematocrit., , , , , , , , , и 6 other автор(ы). NeuroImage, (2021)Deep flow-net for EPI distortion estimation., , , , и . NeuroImage, (2020)Exploring the performance and explainability of fine-tuned BERT models for neuroradiology protocol assignment., , , , , и . BMC Medical Informatics Decis. Mak., 24 (1): 40 (декабря 2024)Author Correction: Low-count whole-body PET with deep learning in a multicenter and externally validated study., , , , , , , , , и 1 other автор(ы). npj Digit. Medicine, (2021)Handling missing MRI sequences in deep learning segmentation of brain metastases: a multicenter study., , , , , , , , , и 2 other автор(ы). npj Digit. Medicine, (2021)