Skull Extraction from MR Images Generated by Ultra Short TE Sequence. - Mohamad Habes; Elena Rota Kops; Hans-Gerd Lipinski; Hans Herzog (Bildverarbeitung für die Medizin, 2012)

A mobile and asynchronous electronic data capture system for epidemiologic studies. - Jens Meyer; Daniel Fredrich; Jens Piegsa; Mohamad Habes; Neeltje van den Berg; Wolfgang Hoffmann 001 (Comput. Methods Programs Biomed., 2013)

Association between waist circumference and gray matter volume in 2344 individuals from two adult community-based samples. - Deborah Janowitz; Katharina Wittfeld; Jan Terock; Harald Jürgen Freyberger; Katrin Hegenscheid; Henry Völzke; Mohamad Habes; Norbert Hosten; Nele Friedrich; Matthias Nauck; Grazyna Domanska; Hans Jörgen Grabe (NeuroImage, 2015)

Deep Ordinal Ranking for Multi-Category Diagnosis of Alzheimer's Disease using Hippocampal MRI data. - Hongming Li; Mohamad Habes; Yong Fan 001 (CoRR, 2017)

A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages. - Saima Rathore; Mohamad Habes; Muhammad Aksam Iftikhar; Amanda Shacklett; Christos Davatzikos (NeuroImage, 2017)

A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal MRI. - Hongming Li; Mohamad Habes; David A. Wolk; Yong Fan 001 (CoRR, 2019)

DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images. - Jimit Doshi; Güray Erus; Mohamad Habes; Christos Davatzikos (CoRR, 2019)

Cerebral Microbleed Detection Via Fourier Descriptor with Dual Domain Distribution Modeling. - Hangfan Liu; Tanweer Rashid; Mohamad Habes (ISBI Workshops, 2020)

DEEPMIR: A DEEP convolutional neural network for differential detection of cerebral Microbleeds and IRon deposits in MRI. - Tanweer Rashid; Ahmed Abdulkadir; Ilya M. Nasrallah; Jeffrey B. Ware; Pascal Spincemaille; J. Rafael Romero; R. Nick Bryan; Susan R. Heckbert; Mohamad Habes (CoRR, 2020)

Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging. - Vishnu M. Bashyam; Jimit Doshi; Güray Erus; Dhivya Srinivasan; Ahmed Abdulkadir; Mohamad Habes; Yong Fan 001; Colin L. Masters; Paul Maruff; Chuanjun Zhuo; Henry Völzke; Sterling C. Johnson; et al. (CoRR, 2020)

Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan. - Raymond Pomponio; Güray Erus; Mohamad Habes; Jimit Doshi; Dhivya Srinivasan; Elizabeth Mamourian; Vishnu Bashyam; Ilya M. Nasrallah; Theodore D. Satterthwaite; Yong Fan 001; Lenore J. Launer; Colin L. Masters; et al. (NeuroImage, 2020)

A comparison of Freesurfer and multi-atlas MUSE for brain anatomy segmentation: Findings about size and age bias, and inter-scanner stability in multi-site aging studies. - Dhivya Srinivasan; Güray Erus; Jimit Doshi; David A. Wolk; Haochang Shou; Mohamad Habes; Christos Davatzikos (NeuroImage, 2020)

Robust Collaborative Clustering of Subjects and Radiomic Features for Cancer Prognosis. - Hangfan Liu; Hongming Li; Mohamad Habes; Yuemeng Li; Pamela Boimel; James Janopaul-Naylor; Ying Xiao; Edgar Ben-Josef; Yong Fan 001 (IEEE Trans. Biomed. Eng., 2020)

Adaptive Squeeze-and-Shrink Image Denoising for Improving Deep Detection of Cerebral Microbleeds. - Hangfan Liu; Tanweer Rashid; Jeffrey B. Ware; Paul Jensen; Thomas Austin; Ilya M. Nasrallah; Robert B. Fisher; Susan R. Heckbert; Mohamad Habes (MICCAI (6), 2021)

Disentangling brain heterogeneity via semi-supervised deep-learning and MRI: dimensional representations of Alzheimer's Disease. - Zhijian Yang; Ilya M. Nasrallah; Haochang Shou; Junhao Wen 002; Jimit Doshi; Mohamad Habes; Güray Erus; Ahmed Abdulkadir; Susan M. Resnick; David A. Wolk; Christos Davatzikos (CoRR, 2021)

Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning. - Gyujoon Hwang; Ahmed Abdulkadir; Güray Erus; Mohamad Habes; Raymond Pomponio; Haochang Shou; Jimit Doshi; Elizabeth Mamourian; Tanweer Rashid; Murat Bilgel; Yong Fan 001; Aristeidis Sotiras; et al. (CoRR, 2021)

Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics. - Junhao Wen 002; Cynthia H. Y. Fu; Duygu Tosun; Yogasudha Veturi; Zhijian Yang; Ahmed Abdulkadir; Elizabeth Mamourian; Dhivya Srinivasan; Jingxuan Bao; Güray Erus; Haochang Shou; Mohamad Habes; et al. (CoRR, 2021)

Collaborative Clustering Based on Adaptive Laplace Modeling for Neuroimaging Data Analysis. - Hangfan Liu; Karl Li; Jon B. Toledo; Mohamad Habes (ISCAS, 2022)

Deep Learning Based Detection of Enlarged Perivascular Spaces on Brain MRI. - Tanweer Rashid; Hangfan Liu; Jeffrey B. Ware; Karl Li; Jose Rafael Romero; Elyas Fadaee; Ilya M. Nasrallah; Saima Hilal; R. Nick Bryan; Timothy M. Hughes; Christos Davatzikos; Lenore J. Launer; et al. (CoRR, 2022)

Covariance shrinkage can assess and improve functional connectomes. - Nicolas Honnorat; Mohamad Habes (NeuroImage, 2022)

Deep Attention Assisted Multi-resolution Networks for the Segmentation of White Matter Hyperintensities in Postmortem MRI Scans. - Anoop Benet Nirmala; Tanweer Rashid; Elyas Fadaee; Nicolas Honnorat; Karl Li; Sokratis Charisis; Di Wang; Aishwarya Vemula; Jinqi Li; Peter Fox 002; Timothy E. Richardson; Jamie M. Walker; et al. (MLCN@MICCAI, 2023)

Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering. - Zhijian Yang; Junhao Wen 002; Ahmed Abdulkadir; Yuhan Cui; Güray Erus; Elizabeth Mamourian; Randa Melhem; Dhivya Srinivasan; Sindhuja T. Govindarajan; Jiong Chen; Mohamad Habes; Colin L. Masters; et al. (CoRR, 2023)

Deep neural network heatmaps capture Alzheimer's disease patterns reported in a large meta-analysis of neuroimaging studies. - Di Wang; Nicolas Honnorat; Peter T. Fox; Kerstin Ritter; Simon B. Eickhoff; Sudha Seshadri; Mohamad Habes (NeuroImage, 2023)

ADCoC: Adaptive Distribution Modeling Based Collaborative Clustering for Disentangling Disease Heterogeneity from Neuroimaging Data. - Hangfan Liu; Michel J. Grothe; Tanweer Rashid; Miguel A. Labrador-Espinosa; Jon B. Toledo; Mohamad Habes (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Riemannian frameworks for the harmonization of resting-state functional MRI scans. - Nicolas Honnorat; Sudha Seshadri; Ron Killiany; John Blangero; David C. Glahn; Peter T. Fox; Mohamad Habes (Medical Image Anal., 2024)

Explainable AI Methods for Neuroimaging: Systematic Failures of Common Tools, the Need for Domain-Specific Validation, and a Proposal for Safe Application. - Nys Tjade Siegel; James H. Cole; Mohamad Habes; Stefan Haufe; Kerstin Ritter; Marc-André Schulz (CoRR, 2025)