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Multiple brain networks underpinning word learning from fluent speech revealed by independent component analysis., , , , , , , and . NeuroImage, (2015)Distribution of grey matter atrophy in Huntington's disease patients: A combined ROI-based and voxel-based morphometric study., , , , , , , , , and 1 other author(s). NeuroImage, 32 (4): 1562-1575 (2006)Automatic segmentation of the striatum and globus pallidus using MIST: Multimodal Image Segmentation Tool., , , , , , , and . NeuroImage, (2016)Vocal Markers from Sustained Phonation in Huntington's Disease., , , , , , , and . INTERSPEECH, page 1893-1897. ISCA, (2020)The Role of the Striatum in Processing Language Rules: Evidence from Word Perception in Huntington's Disease., , , and . J. Cognitive Neuroscience, 18 (9): 1555-1569 (2006)Identification of Primary and Collateral Tracks in Stuttered Speech., , , and . LREC, page 1681-1688. European Language Resources Association, (2020)Comparison of Speaker Role Recognition and Speaker Enrollment Protocol for conversational Clinical Interviews., , , , , , , , and . CoRR, (2020)Learning spectro-temporal representations of complex sounds with parameterized neural networks., , , and . CoRR, (2021)A comparison study on patient-psychologist voice diarization., , , , , , , , and . SLPAT@ACL, page 30-36. Association for Computational Linguistics, (2022)Seshat: a Tool for Managing and Verifying Annotation Campaigns of Audio Data., , , , , , , and . LREC, page 6976-6982. European Language Resources Association, (2020)