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Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|November 27, 2025
Brain and retina in Alzheimer's disease: Pathological intersections and estimates from imagingM Amin Banihashemi, Saffire H Krance, Patrick Xiang Ji, et al.
Plos One|July 18, 2019
MR susceptibility contrast imaging using a 2D simultaneous multi-slice gradient-echo sequence at 7TWei Bian, Adam B Kerr, Eric Tranvinh, et al.
Expert Review of Neurotherapeutics|December 20, 2024
Neuromodulation as a therapeutic approach for post-traumatic stress disorder: the evidence to dateFelicia Manocchio, Jordan Enepekides, Sean Nestor, et al.
Nature Communications|December 5, 2019
Multimodal image registration and connectivity analysis for integration of connectomic data from microscopy to MRIMaged Goubran, Christoph Leuze, Brian Hsueh, et al.
Eclinicalmedicine|August 22, 2024
Antidepressant class and concurrent rTMS outcomes in major depressive disorder: a systematic review and meta-analysisAlina Zaidi, Rafeya Shami, Isabella J Sewell, et al.
Science Advances|December 2, 2022
Deep brain stimulation of the subgenual cingulum and uncinate fasciculus for the treatment of posttraumatic stress disorderClement Hamani, Benjamin Davidson, Felipe Corchs, et al.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|September 9, 2025
Recent advances in neuroimaging of Alzheimer's disease and related dementiasJulie Ottoy, Nicole Owsicki, Murat Bilgel, et al.
Biological Psychiatry. Cognitive Neuroscience and Neuroimaging|February 11, 2026
Microstructural, morphological, and metabolic changes following magnetic resonance guided focused ultrasound capsulotomyBenjamin Davidson, Andrew Clappison, Karim Mithani, et al.
Molecular Psychiatry|May 15, 2020
Magnetic resonance-guided focused ultrasound capsulotomy for refractory obsessive compulsive disorder and major depressive disorder: clinical and imaging results from two phase I trialsBenjamin Davidson, Clement Hamani, Jennifer S Rabin, et al.
Neuroimage|July 26, 2023
ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRILyndon Boone, Mahdi Biparva, Parisa Mojiri Forooshani, et al.
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