Mohamad Habes

34 papers C 1Journal 22Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Explainable AI Methods for Neuroimaging: Systematic Failures of Common Tools, the Need for Domain-Specific Validation, and a Proposal for Safe Application.
CoRR
Nys Tjade Siegel, James H. Cole, Mohamad Habes, Stefan Haufe, Kerstin Ritter, Marc-André Schulz
2025 — conf
Interpretable Networks to Model the Accumulation of Tau Protein in the Brain.
iMIMIC@MICCAI
Nicolas Honnorat, Mohamad Habes
2025 — ed.
Machine Learning in Clinical Neuroimaging - 7th International Workshop, MLCN 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings
MLCN@MICCAI
Deepti R. Bathula, Anoop Benet Nirmala, Nicha C. Dvornek, Sindhuja Tirumalai Govindarajan, Mohamad Habes, Vinod Kumar, Ahmed Nebli, Thomas Wolfers, Yiming Xiao
2024 J jnl
Riemannian frameworks for the harmonization of resting-state functional MRI scans.
Medical Image Anal.
Nicolas Honnorat, Sudha Seshadri, Ron Killiany, John Blangero, David C. Glahn, Peter T. Fox, Mohamad Habes
2023 J jnl
ADCoC: Adaptive Distribution Modeling Based Collaborative Clustering for Disentangling Disease Heterogeneity from Neuroimaging Data.
IEEE Trans. Emerg. Top. Comput. Intell.
Hangfan Liu, Michel J. Grothe, Tanweer Rashid, Miguel A. Labrador-Espinosa, Jon B. Toledo, Mohamad Habes
2023 — conf
Deep Attention Assisted Multi-resolution Networks for the Segmentation of White Matter Hyperintensities in Postmortem MRI Scans.
MLCN@MICCAI
Anoop Benet Nirmala, Tanweer Rashid, Elyas Fadaee, Nicolas Honnorat, Karl Li, Sokratis Charisis, Di Wang, Aishwarya Vemula, Jinqi Li, Peter Fox, Timothy E. Richardson, Jamie M. Walker, Kevin Bieniek, Sudha Seshadri, Mohamad Habes
2023 J jnl
Deep neural network heatmaps capture Alzheimer's disease patterns reported in a large meta-analysis of neuroimaging studies.
NeuroImage
Di Wang, Nicolas Honnorat, Peter T. Fox, Kerstin Ritter, Simon B. Eickhoff, Sudha Seshadri, Mohamad Habes
2023 J jnl
Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering.
CoRR
Zhijian Yang, Junhao Wen, Ahmed Abdulkadir, Yuhan Cui, Güray Erus, Elizabeth Mamourian, Randa Melhem, Dhivya Srinivasan, Sindhuja T. Govindarajan, Jiong Chen, Mohamad Habes, Colin L. Masters, Paul Maruff, Jurgen Fripp, Luigi Ferrucci, Marilyn S. Albert, Sterling C. Johnson, John C. Morris, Pamela LaMontagne, Daniel S. Marcus, Tammie L. S. Benzinger, David A. Wolk, Li Shen, Jingxuan Bao, Susan M. Resnick, Haochang Shou, Ilya M. Nasrallah, Christos Davatzikos
2023 — ed.
Machine Learning in Clinical Neuroimaging - 6th International Workshop, MLCN 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
MLCN@MICCAI
Ahmed Abdulkadir, Deepti R. Bathula, Nicha C. Dvornek, Sindhuja Tirumalai Govindarajan, Mohamad Habes, Vinod Kumar, Esten H. Leonardsen, Thomas Wolfers, Yiming Xiao
2022 C conf
Collaborative Clustering Based on Adaptive Laplace Modeling for Neuroimaging Data Analysis.
ISCAS
Hangfan Liu, Karl Li, Jon B. Toledo, Mohamad Habes
2022 J jnl
Covariance shrinkage can assess and improve functional connectomes.
NeuroImage
Nicolas Honnorat, Mohamad Habes
2022 J jnl
Deep Learning Based Detection of Enlarged Perivascular Spaces on Brain MRI.
CoRR
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, Sudha Seshadri, Susan R. Heckbert, Mohamad Habes
2022 J jnl
Deep neural network heatmaps capture Alzheimer's disease patterns reported in a large meta-analysis of neuroimaging studies.
CoRR
Di Wang, Nicolas Honnorat, Peter T. Fox, Kerstin Ritter, Simon B. Eickhoff, Sudha Seshadri, Mohamad Habes
2022 — ed.
Machine Learning in Clinical Neuroimaging - 5th International Workshop, MLCN 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings
MLCN@MICCAI
Ahmed Abdulkadir, Deepti R. Bathula, Nicha C. Dvornek, Mohamad Habes, Seyed Mostafa Kia, Vinod Kumar, Thomas Wolfers
2021 — conf
Adaptive Squeeze-and-Shrink Image Denoising for Improving Deep Detection of Cerebral Microbleeds.
MICCAI (6)
Hangfan Liu, Tanweer Rashid, Jeffrey B. Ware, Paul Jensen, Thomas Austin, Ilya M. Nasrallah, Robert B. Fisher, Susan R. Heckbert, Mohamad Habes
2021 J jnl
Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning.
CoRR
Gyujoon Hwang, Ahmed Abdulkadir, Güray Erus, Mohamad Habes, Raymond Pomponio, Haochang Shou, Jimit Doshi, Elizabeth Mamourian, Tanweer Rashid, Murat Bilgel, Yong Fan, Aristeidis Sotiras, Dhivya Srinivasan, John C. Morris, Daniel S. Marcus, Marilyn S. Albert, R. Nick Bryan, Susan M. Resnick, Ilya M. Nasrallah, Christos Davatzikos, David A. Wolk
2021 J jnl
Disentangling brain heterogeneity via semi-supervised deep-learning and MRI: dimensional representations of Alzheimer's Disease.
CoRR
Zhijian Yang, Ilya M. Nasrallah, Haochang Shou, Junhao Wen, Jimit Doshi, Mohamad Habes, Güray Erus, Ahmed Abdulkadir, Susan M. Resnick, David A. Wolk, Christos Davatzikos
2021 — ed.
Machine Learning in Clinical Neuroimaging - 4th International Workshop, MLCN 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings
MLCN@MICCAI
Ahmed Abdulkadir, Seyed Mostafa Kia, Mohamad Habes, Vinod Kumar, Jane Maryam Rondina, Chantal M. W. Tax, Thomas Wolfers
2021 J jnl
Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics.
CoRR
Junhao Wen, Cynthia H. Y. Fu, Duygu Tosun, Yogasudha Veturi, Zhijian Yang, Ahmed Abdulkadir, Elizabeth Mamourian, Dhivya Srinivasan, Jingxuan Bao, Güray Erus, Haochang Shou, Mohamad Habes, Jimit Doshi, Erdem Varol, Scott R. Mackin, Aristeidis Sotiras, Yong Fan, Andrew J. Saykin, Yvette I. Sheline, Li Shen, Marylyn D. Ritchie, David A. Wolk, Marilyn S. Albert, Susan M. Resnick, Christos Davatzikos
2020 J jnl
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.
NeuroImage
Dhivya Srinivasan, Güray Erus, Jimit Doshi, David A. Wolk, Haochang Shou, Mohamad Habes, Christos Davatzikos
2020 — conf
Cerebral Microbleed Detection Via Fourier Descriptor with Dual Domain Distribution Modeling.
ISBI Workshops
Hangfan Liu, Tanweer Rashid, Mohamad Habes
2020 J jnl
DEEPMIR: A DEEP convolutional neural network for differential detection of cerebral Microbleeds and IRon deposits in MRI.
CoRR
Tanweer Rashid, Ahmed Abdulkadir, Ilya M. Nasrallah, Jeffrey B. Ware, Pascal Spincemaille, J. Rafael Romero, R. Nick Bryan, Susan R. Heckbert, Mohamad Habes
2020 J jnl
Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan.
NeuroImage
Raymond Pomponio, Güray Erus, Mohamad Habes, Jimit Doshi, Dhivya Srinivasan, Elizabeth Mamourian, Vishnu Bashyam, Ilya M. Nasrallah, Theodore D. Satterthwaite, Yong Fan, Lenore J. Launer, Colin L. Masters, Paul Maruff, Chuanjun Zhuo, Henry Völzke, Sterling C. Johnson, Jurgen Fripp, Nikolaos Koutsouleris, Christos Davatzikos
2020 — ed.
Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology - Third International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings
MLCN/RNO-AI@MICCAI
Seyed Mostafa Kia, Hassan Mohy-ud-Din, Ahmed Abdulkadir, Cher Bass, Mohamad Habes, Jane Maryam Rondina, Chantal M. W. Tax, Hongzhi Wang, Thomas Wolfers, Saima Rathore, Madhura Ingalhalikar
2020 J jnl
Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging.
CoRR
Vishnu M. Bashyam, Jimit Doshi, Güray Erus, Dhivya Srinivasan, Ahmed Abdulkadir, Mohamad Habes, Yong Fan, Colin L. Masters, Paul Maruff, Chuanjun Zhuo, Henry Völzke, Sterling C. Johnson, Jurgen Fripp, Nikolaos Koutsouleris, Theodore D. Satterthwaite, Daniel H. Wolf, Raquel E. Gur, Ruben C. Gur, John C. Morris, Marilyn S. Albert, Hans Jörgen Grabe, Susan M. Resnick, R. Nick Bryan, David A. Wolk, Haochang Shou, Ilya M. Nasrallah, Christos Davatzikos
2020 J jnl
Robust Collaborative Clustering of Subjects and Radiomic Features for Cancer Prognosis.
IEEE Trans. Biomed. Eng.
Hangfan Liu, Hongming Li, Mohamad Habes, Yuemeng Li, Pamela Boimel, James Janopaul-Naylor, Ying Xiao, Edgar Ben-Josef, Yong Fan
2019 J jnl
A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal MRI.
CoRR
Hongming Li, Mohamad Habes, David A. Wolk, Yong Fan
2019 J jnl
DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images.
CoRR
Jimit Doshi, Güray Erus, Mohamad Habes, Christos Davatzikos
2019 — ed.
OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging - Second International Workshop, OR 2.0 2019, and Second International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings
OR/MLCN@MICCAI
Luping Zhou, Duygu Sarikaya, Seyed Mostafa Kia, Stefanie Speidel, Anand Malpani, Daniel A. Hashimoto, Mohamad Habes, Tommy Löfstedt, Kerstin Ritter, Hongzhi Wang
2017 J jnl
A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages.
NeuroImage
Saima Rathore, Mohamad Habes, Muhammad Aksam Iftikhar, Amanda Shacklett, Christos Davatzikos
2017 J jnl
Deep Ordinal Ranking for Multi-Category Diagnosis of Alzheimer's Disease using Hippocampal MRI data.
CoRR
Hongming Li, Mohamad Habes, Yong Fan
2015 J jnl
Association between waist circumference and gray matter volume in 2344 individuals from two adult community-based samples.
NeuroImage
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
2013 J jnl
A mobile and asynchronous electronic data capture system for epidemiologic studies.
Comput. Methods Programs Biomed.
Jens Meyer, Daniel Fredrich, Jens Piegsa, Mohamad Habes, Neeltje van den Berg, Wolfgang Hoffmann
2012 — conf
Skull Extraction from MR Images Generated by Ultra Short TE Sequence.
Bildverarbeitung für die Medizin
Mohamad Habes, Elena Rota Kops, Hans-Gerd Lipinski, Hans Herzog