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Spatial False Discovery Rate Control for Magnetic Resonance Imaging Studies., , , , , and . DICTA, page 1-8. IEEE, (2013)False Discovery Rate Control in Magnetic Resonance Imaging Studies via Markov Random Fields., , , and . IEEE Trans. Med. Imaging, 33 (8): 1735-1748 (2014)New prototype neuronavigation system based on preoperative imaging and intraoperative freehand ultrasound: system description and validation., , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 6 (4): 507-522 (2011)Corrigendum to "Mapping hippocampal and ventricular change in Alzheimer disease" NeuroImage 22 (2004) 1754-1766., , , , , , , , , and 1 other author(s). NeuroImage, 36 (4): 1397-1398 (2007)Maximum Pseudolikelihood Estimation for Model-Based Clustering of Time Series Data., , , , and . Neural Comput., 29 (4): 990-1020 (2017)Whole-brain voxel-based statistical analysis of gray matter and white matter in temporal lobe epilepsy., , , , , and . NeuroImage, 23 (2): 717-723 (2004)Symmetric Atlasing and Model Based Segmentation: An Application to the Hippocampus in Older Adults., , , , , and . MICCAI (2), volume 4191 of Lecture Notes in Computer Science, page 58-66. Springer, (2006)Statistical Analysis of Longitudinal MRI Data: Applications for Detection of Disease Activity in MS., , , , , and . MICCAI (1), volume 2488 of Lecture Notes in Computer Science, page 363-371. Springer, (2002)DeepQSM - using deep learning to solve the dipole inversion for quantitative susceptibility mapping., , , , , , , , , and . NeuroImage, (2019)The multi-modal Australian ScienceS Imaging and Visualization Environment (MASSIVE) high performance computing infrastructure: applications in neuroscience and neuroinformatics research., , , , , , , , , and 8 other author(s). Frontiers Neuroinformatics, (2014)