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Latent source mining in FMRI data via deep neural network., , , , , , and . ISBI, page 638-641. IEEE, (2016)Multple-demand system identification and characterization via sparse representations of fMRI data., , , , and . ISBI, page 70-73. IEEE, (2016)Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN)., , , , , , , and . MICCAI (3), volume 11072 of Lecture Notes in Computer Science, page 181-189. Springer, (2018)Morphological Analysis of the Left Ventricular Endocardial Surface and Its Clinical Implications., , , , , and . MICCAI (2), volume 7511 of Lecture Notes in Computer Science, page 502-510. Springer, (2012)Optimization of fMRI-Derived ROIs Based on Coherent Functional Interaction Patterns., , and . MICCAI (3), volume 7512 of Lecture Notes in Computer Science, page 214-222. Springer, (2012)Neural Architecture Search for Optimizing Deep Belief Network Models of fMRI Data., , , , and . MMMI@MICCAI, volume 11977 of Lecture Notes in Computer Science, page 26-34. Springer, (2019)Novel approach of combining temporal segmentation results to the region-binding process for separating moving objects from still background., , and . VCIP, volume 4067 of Proceedings of SPIE, page 1066-1075. SPIE, (2000)Discovering Dense and Consistent Landmarks in the Brain., , , , , , , , , and . IPMI, volume 6801 of Lecture Notes in Computer Science, page 97-110. Springer, (2011)Automatic motion tracking and data analysis system for a rat., , , , , , , and . ROBIO, page 1691-1696. IEEE, (2016)Deformable Registration of Tumor-Diseased Brain Images., , and . MICCAI (1), volume 3216 of Lecture Notes in Computer Science, page 720-728. Springer, (2004)