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ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI., , , , , , , , , and 3 other author(s). NeuroImage, (September 2023)Network response of brain microvasculature to neuronal stimulation., , , , , and . NeuroImage, (February 2024)Image registration of ex-vivo MRI to sparsely sectioned histology of hippocampal and neocortical temporal lobe specimens., , , , and . NeuroImage, (2013)Detection of small human cerebral cortical lesions with MRI under different levels of Gaussian smoothing: applications in epilepsy., , , , and . Medical Imaging: Image Processing, volume 7623 of SPIE Proceedings, page 76233S. SPIE, (2010)Detection of temporal lobe epilepsy using support vector machines in multi-parametric quantitative MR imaging., , , , and . Comput. Medical Imaging Graph., (2015)Longitudinal alteration of cortical thickness and volume in high-impact sports., , , , , , , , , and 9 other author(s). NeuroImage, (2020)Comparison of diffusion MRI and CLARITY fiber orientation estimates in both gray and white matter regions of human and primate brain., , , , , , , , , and 6 other author(s). NeuroImage, (2021)Masked Image Modeling for Label-Efficient Segmentation in Two-Photon Excitation Microscopy., , , , , , , and . MILLanD@MICCAI, volume 14307 of Lecture Notes in Computer Science, page 117-127. Springer, (2023)Non-Binary Approaches for Classification of Amyloid Brain PET., , , , , , , , , and 11 other author(s). ISMVL, page 206-211. IEEE, (2019)Robust registration of sparsely sectioned histology to ex-vivo MRI of temporal lobe resections., , , , , , and . Medical Imaging: Image Processing, volume 8314 of SPIE Proceedings, page 83141V. SPIE, (2012)