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Neuroimage|December 3, 2014
Avoiding symmetry-breaking spatial non-uniformity in deformable image registration via a quasi-volume-preserving constraintIman Aganj, Martin Reuter, Mert R Sabuncu, et al.
Scientific Reports|August 31, 2018
Unsupervised Medical Image Segmentation Based on the Local Center of MassIman Aganj, Mukesh G Harisinghani, Ralph Weissleder, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|March 10, 2015
SYMMETRIC NON-RIGID IMAGE REGISTRATION VIA AN ADAPTIVE QUASI-VOLUME-PRESERVING CONSTRAINTIman Aganj, Martin Reuter, Mert R Sabuncu, et al.
Biorxiv : the Preprint Server for Biology|November 24, 2025
DEEP-LEARNING CORTICAL REGISTRATION GUIDED BY STRUCTURAL AND DIFFUSION MRI AND CONNECTIVITYZhen Zhou, Jian Li, Jonathan Williams, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|May 25, 2026
DEEP-LEARNING CORTICAL REGISTRATION GUIDED BY STRUCTURAL AND DIFFUSION MRI AND CONNECTIVITYZhen Zhou, Jian Li, Jonathan Williams, et al.
Brainlesion : Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. Brainles (Workshop)|October 31, 2017
A Fast Approach to Automatic Detection of Brain LesionsSubhranil Koley, Chandan Chakraborty, Caterina Mainero, et al.
Neuroimage|July 19, 2017
Functional density and edge maps: Characterizing functional architecture in individuals and improving cross-subject registrationTong Tong, Iman Aganj, Tian Ge, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|October 19, 2012
On removing interpolation and resampling artifacts in rigid image registrationIman Aganj, Boon Thye Thomas Yeo, Mert R Sabuncu, et al.
Neuroimage|January 25, 2019
Quantification of structural brain connectivity via a conductance modelAina Frau-Pascual, Morgan Fogarty, Bruce Fischl, et al.
Frontiers in Neuroscience|June 5, 2026
Structural connectome analysis using a graph-based deep model for prediction of non-imaging variablesAnees Kazi, Jocelyn Mora, Bruce Fischl, et al.
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