Mohamad Habes

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Christos DavatzikosDirector, AI2D Center for AI/Data Science for Integrated Diagnostics, Professor Radiology/ESE/DBEIPatvirtintas el. paštas pennmedicine.upenn.edu
Guray ErusSr. Research Investigator, Radiology Dept.,UPENNPatvirtintas el. paštas uphs.upenn.edu
Sudha SeshadriGlenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas, SanPatvirtintas el. paštas bu.edu
Henry VölzkeProfessor für Klinische Epidemiologie, Universitätsmedizin GreifswaldPatvirtintas el. paštas uni-greifswald.de
Dave WolkProfessor of Neurology, University of PennsylvaniaPatvirtintas el. paštas uphs.upenn.edu
Jon B. Toledo Atucha, M.D., Ph.D.Nantz National Alzheimer Center, Houston MethodistPatvirtintas el. paštas houstonmethodist.org
Tanweer RashidUniversity of Texas Health Science Center San AntonioPatvirtintas el. paštas uthscsa.edu
Yong FanUniversity of PennsylvaniaPatvirtintas el. paštas ieee.org
Hangfan LiuAssistant Professor, University of Maryland Center for Advanced Imaging ResearchPatvirtintas el. paštas som.umaryland.edu
Haochang ShouAssociate Professor of Biostatistics, University of PennsylvaniaPatvirtintas el. paštas pennmedicine.upenn.edu
Kristine YaffeUCSFPatvirtintas el. paštas gbhi.org
Timothy M. HughesAssistant Professor, Wake Forest School of MedicinePatvirtintas el. paštas wakehealth.edu
Ahmed AbdulkadirZHAWPatvirtintas el. paštas zhaw.ch
Alexa BeiserBoston UniversityPatvirtintas el. paštas bu.edu
Michel J. GrotheCIEN Foundation - Reina Sofia Alzheimer Center - ISCIIIPatvirtintas el. paštas fundacioncien.es
Saima HilalAssistant ProfessorPatvirtintas el. paštas nus.edu.sg
Paul N. JensenUniversity of WashingtonPatvirtintas el. paštas uw.edu
Jeffrey B WarePatvirtintas el. paštas pennmedicine.upenn.edu
Pauline MaillardPhD, Professional Researcher, UC DavisPatvirtintas el. paštas ucdavis.edu
Tiffany F KautzUT Health San AntonioPatvirtintas el. paštas uthscsa.edu

Stebėti

Mohamad Habes

Director Biggs Institute Neuroimaging Core, Assoc Prof of Radiology, UT Health San Antonio

Patvirtintas el. paštas uthscsa.edu - Pagrindinis puslapis

Neuroimaging Medical Image Analysis Cerebral Small Vessel Disease Deep Learning Epidemiology


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages S Rathore, M Habes, MA Iftikhar, A Shacklett, C Davatzikos NeuroImage 155, 530-548, 2017	666	2017
White matter hyperintensities and imaging patterns of brain ageing in the general population M Habes, G Erus, JB Toledo, T Zhang, N Bryan, LJ Launer, Y Rosseel, ... Brain 139 (4), 1164-1179, 2016	446	2016
Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan R Pomponio, G Erus, M Habes, J Doshi, D Srinivasan, E Mamourian, ... NeuroImage 208, 116450, 2020	431	2020
MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide VM Bashyam, G Erus, J Doshi, M Habes, IM Nasrallah, M Truelove-Hill, ... Brain 143 (7), 2312-2324, 2020	290	2020
A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal magnetic resonance imaging data H Li, M Habes, DA Wolk, Y Fan, ... Alzheimer's & Dementia 15 (8), 1059-1070, 2019	234	2019
Multiethnic Genome-Wide Association Study of Cerebral White Matter Hyperintensities on MRI BFJ Verhaaren, S Debette, JC Bis, JA Smith, MK Ikram, HH Adams, ... Circulation: Cardiovascular Genetics 8 (2), 398-409, 2015	203	2015
Cerebral small vessel disease genomics and its implications across the lifespan M Sargurupremraj, H Suzuki, X Jian, C Sarnowski, TE Evans, JC Bis, ... Nature communications 11 (1), 6285, 2020	151	2020
Disentangling heterogeneity in Alzheimer’s disease and related dementias using data-driven methods M Habes, MJ Grothe, B Tunc, C McMillan, DA Wolk, C Davatzikos Biological psychiatry 88 (1), 70-82, 2020	148	2020
Advanced brain aging: relationship with epidemiologic and genetic risk factors, and overlap with Alzheimer disease atrophy patterns M Habes, D Janowitz, G Erus, JB Toledo, SM Resnick, J Doshi, ... Translational Psychiatry 6 (4), e775, 2016	141	2016
The Brain Chart of Aging: machine‐learning analytics reveals links between brain aging, white matter disease, amyloid burden, and cognition in the iSTAGING consortium of 10,216 … M Habes, R Pomponio, H Shou, J Doshi, E Mamourian, G Erus, ... Alzheimer's & Dementia 17 (1), 89-102, 2021	137	2021
White matter lesions: Spatial heterogeneity, links to risk factors, cognition, genetics, and atrophy M Habes, A Sotiras, G Erus, JB Toledo, D Janowitz, DA Wolk, H Shou, ... Neurology 91 (10), e964-e975, 2018	137	2018
Association between waist circumference and gray matter volume in 2344 individuals from two adult community-based samples D Janowitz, K Wittfeld, J Terock, HJ Freyberger, K Hegenscheid, H Völzke, ... Neuroimage 122, 149-157, 2015	123	2015
Microglia ablation alleviates myelin-associated catatonic signs in mice H Janova, S Arinrad, E Balmuth, M Mitjans, J Hertel, M Habes, RA Bittner, ... The Journal of clinical investigation 128 (2), 734-745, 2018	122	2018
Enlarged perivascular spaces and cognition: a meta-analysis of 5 population-based studies S Hilal, CS Tan, HHH Adams, M Habes, V Mok, N Venketasubramanian, ... Neurology 91 (9), e832-e842, 2018	118	2018
Senolytic therapy in mild Alzheimer’s disease: a phase 1 feasibility trial MM Gonzales, VR Garbarino, TF Kautz, JP Palavicini, M Lopez-Cruzan, ... Nature medicine 29 (10), 2481-2488, 2023	110	2023
Heterogeneity of structural and functional imaging patterns of advanced brain aging revealed via machine learning methods H Eavani, M Habes, TD Satterthwaite, Y An, MK Hsieh, N Honnorat, ... Neurobiology of aging 71, 41-50, 2018	98	2018
Characterizing heterogeneity in neuroimaging, cognition, clinical symptoms, and genetics among patients with late-life depression J Wen, CHY Fu, D Tosun, Y Veturi, Z Yang, A Abdulkadir, E Mamourian, ... JAMA psychiatry 79 (5), 464-474, 2022	87	2022
A deep learning framework identifies dimensional representations of Alzheimer’s Disease from brain structure Z Yang, IM Nasrallah, H Shou, J Wen, J Doshi, M Habes, G Erus, ... Nature communications 12 (1), 7065, 2021	81	2021
Deep generative medical image harmonization for improving cross‐site generalization in deep learning predictors VM Bashyam, J Doshi, G Erus, D Srinivasan, A Abdulkadir, A Singh, ... Journal of Magnetic Resonance Imaging 55 (3), 908-916, 2022	76	2022
A priori collaboration in population imaging: the Uniform Neuro-Imaging of Virchow-Robin Spaces Enlargement consortium HHH Adams, S Hilal, P Schwingenschuh, K Wittfeld, SJ van der Lee, ... Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 1 (4 …, 2015	70	2015

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