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Jimit Doshi

Showing results (31-40 of 64) with videos related to

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Biomed Research International|February 28, 2014
Neuroanatomical classification in a population-based sample of psychotic major depression and bipolar I disorder with 1 year of diagnostic stabilityMauricio H Serpa, Yangming Ou, Maristela S Schaufelberger, et al.
Neurobiology of Aging|August 6, 2018
Heterogeneity of structural and functional imaging patterns of advanced brain aging revealed via machine learning methodsHarini Eavani, Mohamad Habes, Theodore D Satterthwaite, et al.
Plos One|January 27, 2016
An Alzheimer's Disease-Derived Biomarker Signature Identifies Parkinson's Disease Patients with DementiaYosef Berlyand, Daniel Weintraub, Sharon X Xie, et al.
Movement Disorders : Official Journal of the Movement Disorder Society|November 24, 2017
APOE, thought disorder, and SPARE-AD predict cognitive decline in established Parkinson's diseaseThomas F Tropea, Sharon X Xie, Jacqueline Rick, et al.
Radiology. Artificial Intelligence|September 17, 2025
DLMUSE: Robust Brain Segmentation in Seconds Using Deep LearningVishnu M Bashyam, Guray Erus, Yuhan Cui, et al.
Plos One|October 14, 2014
Multimodal magnetic resonance imaging study of treatment-naïve adults with attention-deficit/hyperactivity disorderTiffany M Chaim, Tianhao Zhang, Marcus V Zanetti, et al.
Neurology|August 5, 2018
White matter lesions: Spatial heterogeneity, links to risk factors, cognition, genetics, and atrophyMohamad Habes, Aristeidis Sotiras, Guray Erus, et al.
Nature Communications|December 4, 2021
A deep learning framework identifies dimensional representations of Alzheimer's Disease from brain structureZhijian Yang, Ilya M Nasrallah, Haochang Shou, et al.
Schizophrenia Bulletin|November 30, 2017
Multisite Machine Learning Analysis Provides a Robust Structural Imaging Signature of Schizophrenia Detectable Across Diverse Patient Populations and Within IndividualsMartin Rozycki, Theodore D Satterthwaite, Nikolaos Koutsouleris, et al.
Neuroimage|February 2, 2023
Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING studyZhen Zhou, Hongming Li, Dhivya Srinivasan, et al.
Pageof 7

Showing results (31-40 of 64) with videos related to

Sort By:
Pageof 7
Biomed Research International|February 28, 2014
Neuroanatomical classification in a population-based sample of psychotic major depression and bipolar I disorder with 1 year of diagnostic stabilityMauricio H Serpa, Yangming Ou, Maristela S Schaufelberger, et al.
Neurobiology of Aging|August 6, 2018
Heterogeneity of structural and functional imaging patterns of advanced brain aging revealed via machine learning methodsHarini Eavani, Mohamad Habes, Theodore D Satterthwaite, et al.
Plos One|January 27, 2016
An Alzheimer's Disease-Derived Biomarker Signature Identifies Parkinson's Disease Patients with DementiaYosef Berlyand, Daniel Weintraub, Sharon X Xie, et al.
Movement Disorders : Official Journal of the Movement Disorder Society|November 24, 2017
APOE, thought disorder, and SPARE-AD predict cognitive decline in established Parkinson's diseaseThomas F Tropea, Sharon X Xie, Jacqueline Rick, et al.
Radiology. Artificial Intelligence|September 17, 2025
DLMUSE: Robust Brain Segmentation in Seconds Using Deep LearningVishnu M Bashyam, Guray Erus, Yuhan Cui, et al.
Plos One|October 14, 2014
Multimodal magnetic resonance imaging study of treatment-naïve adults with attention-deficit/hyperactivity disorderTiffany M Chaim, Tianhao Zhang, Marcus V Zanetti, et al.
Neurology|August 5, 2018
White matter lesions: Spatial heterogeneity, links to risk factors, cognition, genetics, and atrophyMohamad Habes, Aristeidis Sotiras, Guray Erus, et al.
Nature Communications|December 4, 2021
A deep learning framework identifies dimensional representations of Alzheimer's Disease from brain structureZhijian Yang, Ilya M Nasrallah, Haochang Shou, et al.
Schizophrenia Bulletin|November 30, 2017
Multisite Machine Learning Analysis Provides a Robust Structural Imaging Signature of Schizophrenia Detectable Across Diverse Patient Populations and Within IndividualsMartin Rozycki, Theodore D Satterthwaite, Nikolaos Koutsouleris, et al.
Neuroimage|February 2, 2023
Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING studyZhen Zhou, Hongming Li, Dhivya Srinivasan, et al.
Pageof 7