Jimit Doshi

Artificial Intelligence in Medicine (Canada)

Also affiliated with University of Pennsylvania

MedicineNeuroscience

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 1%percentile

8.6Author DataRank

Indexed papers

7in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 7 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics

Scientific Data(2022)10.1038/s41597-022-01560-7

Top 5%

4.1DataRank

Top 5%172 citations

Chiharu Sako, Hamed Akbari, Michel Bilello, Aristeidis Sotiras, Gaurav Shukla +27 more

Papers

Driven by 33 papers — median percentile 0. Top paper: “The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics”.

The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics

Scientific Data(2022)10.1038/s41597-022-01560-7

Top 5%

4.1DataRank

Top 5%172 citations

Chiharu Sako, Hamed Akbari, Michel Bilello, Aristeidis Sotiras, Gaurav Shukla +27 more

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 harmonized MR scans

Alzheimer s & Dementia(2020)10.1002/alz.12178

Top 6%

3.8DataRank

Top 6%181 citations

Raymond Pomponio, Haochang Shou, Jimit Doshi, Elizabeth Mamourian, Guray Erus +24 more

Effects of intensive versus standard blood pressure control on domain-specific cognitive function: a substudy of the SPRINT randomised controlled trial

The Lancet Neurology(2020)10.1016/s1474-4422(20)30319-7

N/A

3.3DataRank · unranked

82 citations

Sarah A. Gaussoin, Bonnie C. Sachs, Gordon J. Chelune, Mark A. Supiano, Alan J. Lerner +53 more

Characterizing Heterogeneity in Neuroimaging, Cognition, Clinical Symptoms, and Genetics Among Patients With Late-Life Depression

JAMA Psychiatry(2022)10.1001/jamapsychiatry.2022.0020

N/A

2.5DataRank · unranked

148 citations

Cynthia H.Y. Fu, Duygu Tosun, Yogasudha Veturi, Zhijian Yang, Ahmed Abdulkadir +93 more

Self- and Partner-Reported Subjective Memory Complaints: Association with Objective Cognitive Impairment and Risk of Decline

Journal of Alzheimer s Disease Reports(2022)10.3233/adr-220013

N/A

0.749DataRank · unranked

22 citations

Laura E.M. Wisse, Trevor Glenn, Sharon X. Xie, Ilya M. Nasrallah, Mohamad Habes +13 more

Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study

NeuroImage(2023)10.1016/j.neuroimage.2023.119911

Top 27%

0.733DataRank

Top 27%26 citations

Hongming Li, Dhivya Srinivasan, Ahmed Abdulkadir, Ilya M. Nasrallah, Junhao Wen +12 more

Association of hippocampal volume polygenic predictor score with baseline and change in brain volumes and cognition among cognitively healthy older adults

Neurobiology of Aging(2020)10.1016/j.neurobiolaging.2020.05.007

N/A

0DataRank · unranked

7 citations

Logan Dumitrescu, Chiung-Wei Huang, Yang An, Toshiko Tanaka, Dena Hernández +7 more

Skull-Stripping of Glioblastoma MRI Scans Using 3D Deep Learning

Lecture notes in computer science(2020)10.1007/978-3-030-46640-4_6

N/A

0DataRank · unranked

29 citations

Jimit Doshi, Sarthak Pati, Sung Min Ha, Chiharu Sako, Sanjay N. Talbar +5 more

The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up

EUR Research Repository (Erasmus University Rotterdam)(2020)10.48550/arxiv.2002.03419

Top 100%

0DataRank

Top 100%0 citations

Neil P. Oxtoby, Alexandra L. Young, Esther E. Bron, Arthur W. Toga, Michael W. Weiner +91 more

Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease

UNC Libraries(2020)10.17615/ka8q-bk87

Top 100%

0DataRank

Top 100%0 citations

Corrado Priami, Jimit Doshi, Roland Krause, Kong, Dehan, Aristeidis Sotiras +95 more

Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease

UNC Libraries(2020)10.17615/htpk-dq17

Top 100%

0DataRank

Top 100%0 citations

E.T. Merrill, Qilin Dong, Xia Shen, Laura Caberlotto, Arno Klein +95 more

A deep learning framework identifies dimensional representations of Alzheimer’s Disease from brain structure

Nature Communications(2021)10.1038/s41467-021-26703-z

N/A

0DataRank · unranked

103 citations

Ilya M. Nasrallah, Haochang Shou, Junhao Wen, Jimit Doshi, Mohamad Habes +95 more

Deep Generative Medical Image Harmonization for Improving Cross‐Site Generalization in Deep Learning Predictors

Journal of Magnetic Resonance Imaging(2021)10.1002/jmri.27908

N/A

0DataRank · unranked

85 citations

Jimit Doshi, Guray Erus, Dhivya Srinivasan, Ahmed Abdulkadir, Ashish Singh +26 more

The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up

The Journal of Machine Learning for Biomedical Imaging(2021)10.59275/j.melba.2021-2dcc

N/A

0DataRank · unranked

69 citations

Neil P. Oxtoby, Alexandra L. Young, Esther E. Bron, Arthur W. Toga, Michael W. Weiner +92 more

Tau pathology mediates age effects on medial temporal lobe structure

Neurobiology of Aging(2021)10.1016/j.neurobiolaging.2021.09.017

N/A

0DataRank · unranked

22 citations

Long Xie, Sandhitsu R. Das, Robin de Florès, Oskar Hansson, Mohamad Habes +5 more

Leveraging machine learning predictive biomarkers to augment the statistical power of clinical trials with baseline magnetic resonance imaging

Brain Communications(2021)10.1093/braincomms/fcab264

N/A

0DataRank · unranked

15 citations

Mohamad Habes, Nicholas Illenberger, Ali Ezzati, Richard B. Lipton, Pamela A. Shaw +6 more

Schizophrenia Imaging Signatures and Their Associations With Cognition, Psychopathology, and Genetics in the General Population

American Journal of Psychiatry(2022)10.1176/appi.ajp.21070686

N/A

0DataRank · unranked

51 citations

Pankhuri Singhal, Dominic Dwyer, Junhao Wen, Guray Erus, Jimit Doshi +30 more

Disentangling Alzheimer’s disease neurodegeneration from typical brain ageing using machine learning

Brain Communications(2022)10.1093/braincomms/fcac117

N/A

0DataRank · unranked

29 citations

Ahmed Abdulkadir, Guray Erus, Mohamad Habes, Raymond Pomponio, Haochang Shou +16 more

Automatic Segmentation and Quantification of Upper Airway Anatomic Risk Factors for Obstructive Sleep Apnea on Unprocessed Magnetic Resonance Images

Academic Radiology(2022)10.1016/j.acra.2022.04.023

N/A

0DataRank · unranked

19 citations

Guray Erus, Jimit Doshi, Ashish Singh, Brendan T Keenan, Richard J. Schwab +3 more

Novel genomic loci influence patterns of structural covariance in the human brain

medRxiv(2022)10.1101/2022.07.20.22277727

N/A

0DataRank · unranked

5 citations

Ilya M. Nasrallah, Ahmed Abdulkadir, Theodore D. Satterthwaite, Zhijian Yang, Guray Erus +66 more

Two schizophrenia imaging signatures and their associations with cognition, psychopathology, and genetics in the general population

medRxiv(2022)10.1101/2022.01.07.22268854

N/A

0DataRank · unranked

2 citations

Pankhuri Singhal, Dominic Dwyer, Junhao Wen, Guray Erus, Jimit Doshi +30 more

Mega-analysis of brain structural covariance, genetics, and clinical phenotypes

Research Square(2022)10.21203/rs.3.rs-1503113/v1

N/A

0DataRank · unranked

2 citations

Ilya M. Nasrallah, Ahmed Abdulkadir, Theodore D. Satterthwaite, Guray Erus, Timothy Robert‐Fitzgerald +58 more

Three Imaging Endophenotypes Characterize Neuroanatomical Heterogeneity of Autism Spectrum Disorder

Research Square(2022)10.21203/rs.3.rs-1768841/v1

N/A

0DataRank · unranked

1 citations

Junhao Wen, Susan Sotardi, Edward S. Brodkin, Ganesh B. Chand, Dominic Dwyer +26 more

Penalized Decomposition Using Residuals (PeDecURe) for Nuisance Variable Adjustment in Multivariate Pattern Analysis

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.01.27.477859

N/A

0DataRank · unranked

0 citations

Christos Davatzikos, Jimit Doshi, Kristin A. Linn, Russell T. Shinohara, Alzheimer’s Disease Neuroimaging Initiative +1 more

Multiscale functional connectivity patterns of the aging brain learned from rsfMRI data of 4,259 individuals of the multi-cohort iSTAGING study

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.07.27.501626

Top 100%

0DataRank

Top 100%0 citations

Dhivya Srinivasan, Hongming Li, Ahmed Abdulkadir, Ilya M. Nasrallah, Junhao Wen +12 more

Psychosis brain subtypes validated in first-episode cohorts and related to illness remission: results from the PHENOM consortium

Molecular Psychiatry(2023)10.1038/s41380-023-02069-0

N/A

0DataRank · unranked

36 citations

Ganesh B. Chand, Alessandro Pigoni, Adyasha Khuntia, Junhao Wen, Mathilde Antoniades +37 more

Genomic loci influence patterns of structural covariance in the human brain

Proceedings of the National Academy of Sciences(2023)10.1073/pnas.2300842120

N/A

0DataRank · unranked

36 citations

Ilya M. Nasrallah, Ahmed Abdulkadir, Theodore D. Satterthwaite, Zhijian Yang, Guray Erus +61 more

Genetic and Clinical Correlates of AI-Based Brain Aging Patterns in Cognitively Unimpaired Individuals

JAMA Psychiatry(2024)10.1001/jamapsychiatry.2023.5599

N/A

0DataRank · unranked

24 citations

Ilya M. Nasrallah, Ahmed Abdulkadir, Junhao Wen, Randa Melhem, Elizabeth Mamourian +46 more

MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide

Brain(2020)10.1093/brain/awaa160

N/A

0DataRank · unranked

404 citations

Guray Erus, Jimit Doshi, Mohamad Habes, Ilya M. Nasrallah, Monica Truelove‐Hill +25 more

Two distinct neuroanatomical subtypes of schizophrenia revealed using machine learning

Brain(2020)10.1093/brain/awaa025

N/A

0DataRank · unranked

278 citations

Dominic Dwyer, Guray Erus, Aristeidis Sotiras, Erdem Varol, Dhivya Srinivasan +23 more

Associations between cognitive and brain volume changes in cognitively normal older adults

NeuroImage(2020)10.1016/j.neuroimage.2020.117289

N/A

0DataRank · unranked

96 citations

Yang An, John J. Shin, Owen A. Williams, Jimit Doshi, Guray Erus +5 more

Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training

NeuroImage(2020)10.1016/j.neuroimage.2020.117081

N/A

0DataRank · unranked

84 citations

Jimit Doshi, Sarthak Pati, Saima Rathore, Chiharu Sako, Michel Bilello +19 more

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(2020)10.1016/j.neuroimage.2020.117248

N/A

0DataRank · unranked

47 citations

Guray Erus, Jimit Doshi, David A. Wolk, Haochang Shou, Mohamad Habes +2 more

Jimit Doshi

Indexed papers

Top data-sharing exemplar

Papers