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Incomplete learning of multi-modal connectome for brain disorder diagnosis via modal-mixup and deep supervision., , , , , и . MIDL, том 227 из Proceedings of Machine Learning Research, стр. 1006-1018. PMLR, (2023)NexToU: Efficient Topology-Aware U-Net for Medical Image Segmentation., , , , и . CoRR, (2023)A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation., , , , и . CoRR, (2023)Effects of Grip-Load Force and Muscle Fatigue on fNIRS Signal during Handgrip Voluntary Contraction Task., , и . NER, стр. 510-513. IEEE, (2019)Advancing Brain Imaging Analysis Step-by-step via Progressive Self-paced Learning., , , , и . CoRR, (2024)Accelerating denoising diffusion probabilistic model via truncated inverse processes for medical image segmentation., , , , , и . Comput. Biol. Medicine, (2024)A simulation study on marrow fat effect on biomechanics of vertebra bone., , , , , и . EMBC, стр. 3921-3924. IEEE, (2015)Mapping Multi-Modal Brain Connectome for Brain Disorder Diagnosis via Cross-Modal Mutual Learning., , , , , и . IEEE Trans. Medical Imaging, 43 (1): 108-121 (января 2024)A deep connectome learning network using graph convolution for connectome-disease association study., , и . Neural Networks, (июля 2023)BrainMass: Advancing Brain Network Analysis for Diagnosis with Large-scale Self-Supervised Learning., , , , , , , , и . CoRR, (2024)