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Identification of subject specific and functional consistent ROIs using semi-supervised learning.

, , , and . Medical Imaging: Image Processing, volume 8314 of SPIE Proceedings, page 83144S. SPIE, (2012)

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Identification of subject specific and functional consistent ROIs using semi-supervised learning., , , and . Medical Imaging: Image Processing, volume 8314 of SPIE Proceedings, page 83144S. SPIE, (2012)ACEnet: Anatomical Context-Encoding Network for Neuroanatomy Segmentation., , and . CoRR, (2020)Large-scale sparse functional networks from resting state fMRI., , and . NeuroImage, (2017)Segmentation of Brain Tumors in Multi-parametric MR Images via Robust Statistic Information Propagation., , and . ACCV (4), volume 6495 of Lecture Notes in Computer Science, page 606-617. Springer, (2010)ACEnet: Anatomical context-encoding network for neuroanatomy segmentation., , and . Medical Image Anal., (2021)Parameter-Free Centralized Multi-Task Learning for Characterizing Developmental Sex Differences in Resting State Functional Connectivity., , and . AAAI, page 2660-2668. AAAI Press, (2018)Fully-Automatic Segmentation Of Kidneys In Clinical Ultrasound Images Using A Boundary Distance Regression Network., , , , , , , and . ISBI, page 1741-1744. IEEE, (2019)Predicting Alzheimer's Disease and Quantifying Asymmetric Degeneration of the Hippocampus Using Deep Learning of Magnetic Resonance Imaging Data., , and . ISBI, page 1-4. IEEE, (2023)Deep Convolutional Neural Networks For Imaging Data Based Survival Analysis Of Rectal Cancer., , , , , , and . ISBI, page 846-849. IEEE, (2019)Collaborative Clustering Of Subjects And Radiomic Features For Predicting Clinical Outcomes Of Rectal Cancer Patients., , , , , , , and . ISBI, page 1303-1306. IEEE, (2019)