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Disentangling high-level factors and their features with conditional vector quantized VAEs.

, , , and . Pattern Recognit. Lett., (August 2023)

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Unsupervised learning and mapping of active brain functional MRI signals based on hidden semi-Markov event sequence models., , , , and . IEEE Trans. Med. Imaging, 24 (2): 263-276 (2005)Disentangled representations: towards interpretation of sex determination from hip bone., , , , , , and . CoRR, (2021)Unsupervised Learning and Mapping of Brain fMRI Signals Based on Hidden Semi-Markov Event Sequence Models., , , and . MICCAI (2), volume 2879 of Lecture Notes in Computer Science, page 75-82. Springer, (2003)A new paradigm to compare a subject to a statistical model. Application to the detection of skull abnormalities.. Pattern Recognit. Lett., 33 (10): 1309-1315 (2012)Fast and Interpretable Unsupervised Domain Adaptation for FIB-SEM Cell Segmentation., , , , , and . ISBI, page 1-5. IEEE, (2023)Pitfalls Related To Computer-Aided Diagnosis System Learned From Multiple Databases., , , and . ISBI, page 806-809. IEEE, (2019)Multilabel, Multiscale Topological Transformation for Cerebral MRI Segmentation Post-processing., , , , , , , and . ISMM, volume 11564 of Lecture Notes in Computer Science, page 471-482. Springer, (2019)Hidden semi-Markov event sequence models: application to brain functional MRI sequence analysis., , , and . ICIP (1), page 880-883. IEEE, (2002)Unsupervised spatio-temporal detection of brain functional activation based on hidden Markov multiple event sequence models., , , , and . Medical Imaging: Image Processing, volume 5747 of SPIE Proceedings, SPIE, (2005)4D Facial Expression Diffusion Model., , , , and . CoRR, (2023)