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Incomplete learning of multi-modal connectome for brain disorder diagnosis via modal-mixup and deep supervision.

, , , , , and . MIDL, volume 227 of Proceedings of Machine Learning Research, page 1006-1018. PMLR, (2023)

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NexToU: Efficient Topology-Aware U-Net for Medical Image Segmentation., , , , and . CoRR, (2023)Incomplete learning of multi-modal connectome for brain disorder diagnosis via modal-mixup and deep supervision., , , , , and . MIDL, volume 227 of Proceedings of Machine Learning Research, page 1006-1018. PMLR, (2023)A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation., , , , and . CoRR, (2023)Effects of Grip-Load Force and Muscle Fatigue on fNIRS Signal during Handgrip Voluntary Contraction Task., , and . NER, page 510-513. IEEE, (2019)Mapping Multi-Modal Brain Connectome for Brain Disorder Diagnosis via Cross-Modal Mutual Learning., , , , , and . IEEE Trans. Medical Imaging, 43 (1): 108-121 (January 2024)A simulation study on marrow fat effect on biomechanics of vertebra bone., , , , , and . EMBC, page 3921-3924. IEEE, (2015)BrainMass: Advancing Brain Network Analysis for Diagnosis with Large-scale Self-Supervised Learning., , , , , , , , and . CoRR, (2024)A deep connectome learning network using graph convolution for connectome-disease association study., , and . Neural Networks, (July 2023)Kinematics of the lumbar spine in elderly subjects with decreased bone mineral density., , , , , and . Medical Biol. Eng. Comput., 47 (7): 783-789 (2009)Perfusion study on Modic changes of spine based on DCE-MRI., , , , , , and . BHI, page 365-367. IEEE, (2012)