Aristeidis Sotiras

Also affiliated with Mallinckrodt (United States), Arizona State University, University of Pennsylvania

NeuroscienceMedicineComputer Science

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

9.4Author DataRank

Indexed papers

9in 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 9 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 91 papers — median percentile 49. 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

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

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

1.7DataRank · unranked

70 citations

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

Two distinct neuroanatomical subtypes of schizophrenia revealed using machine learning

Brain(2020)10.1093/brain/awaa025

N/A

0.846DataRank · unranked

280 citations

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

0.790DataRank · unranked

25 citations

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

0.701DataRank · unranked

106 citations

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

Brain aging patterns in a large and diverse cohort of 49,482 individuals

Nature Medicine(2024)10.1038/s41591-024-03144-x

N/A

0.665DataRank · unranked

83 citations

Junhao Wen, Guray Erus, Sindhuja Tirumalai Govindarajan, Randa Melhem, Elizabeth Mamourian +48 more

Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes

Medical Image Analysis(2021)10.1016/j.media.2021.102304

N/A

0.633DataRank · unranked

67 citations

Erdem Varol, Aristeidis Sotiras, Zhijian Yang, Ganesh B. Chand, Guray Erus +25 more

Benchmarking the generalizability of brain age models: Challenges posed by scanner variance and prediction bias

Human Brain Mapping(2022)10.1002/hbm.26144

N/A

0.587DataRank · unranked

49 citations

Tobias Kaufmann, Vishnu Bashyam, Guray Erus, Joan L. Luby, Lars T. Westlye +4 more

Using synthetic MR images for distortion correction

Developmental Cognitive Neuroscience(2023)10.1016/j.dcn.2023.101234

Top 36%

0.548DataRank

Top 36%12 citations

Andrew N. Van, Ryland L. Miller, Nicole A. Seider, Scott Marek, Annie Zheng +17 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

0.542DataRank · 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

0.542DataRank · unranked

36 citations

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

MRI-based classification of IDH mutation and 1p/19q codeletion status of gliomas using a 2.5D hybrid multi-task convolutional neural network

Neuro-Oncology Advances(2023)10.1093/noajnl/vdad023

N/A

0.533DataRank · unranked

34 citations

Pamela LaMontagne, Joshua S. Shimony, Daniel S. Marcus, Aristeidis Sotiras, Satrajit Chakrabarty

D-Net: Dynamic large kernel with dynamic feature fusion for volumetric medical image segmentation

Biomedical Signal Processing and Control(2025)10.1016/j.bspc.2025.108837

N/A

0.505DataRank · unranked

28 citations

Peijie Qiu, Yichi Zhang, Daniel S. Marcus, Aristeidis Sotiras, Jin Yang

Association of partial T2-FLAIR mismatch sign and isocitrate dehydrogenase mutation in WHO grade 4 gliomas: results from the ReSPOND consortium

Neuroradiology(2023)10.1007/s00234-023-03196-9

N/A

0.489DataRank · unranked

25 citations

Sohil H. Patel, Suyash Mohan, Hamed Akbari, Spyridon Bakas, MacLean P. Nasrallah +79 more

DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification

Lecture notes in computer science(2024)10.1007/978-3-031-72920-1_19

N/A

0.483DataRank · unranked

24 citations

Xiwen Chen, Peijie Qiu, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang +1 more

Genetic and clinical correlates of two neuroanatomical AI dimensions in the Alzheimer’s disease continuum

Translational Psychiatry(2024)10.1038/s41398-024-03121-5

N/A

0.464DataRank · unranked

21 citations

Zhijian Yang, Ilya M. Nasrallah, Yuhan Cui, Guray Erus, Dhivya Srinivasan +45 more

Optimal approaches to analyzing functional MRI data in glioma patients

Journal of Neuroscience Methods(2023)10.1016/j.jneumeth.2023.110011

N/A

0.438DataRank · unranked

7 citations

Joshua S. Shimony, Satrajit Chakrabarty, Aaron Tanenbaum, Carl D. Hacker, Kara M. Donovan +7 more

Genetic, Clinical Underpinnings of Brain Change Along Two Neuroanatomical Dimensions of Clinically-defined Alzheimer’s Disease

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.09.16.508329

N/A

0.406DataRank · unranked

14 citations

Zhijian Yang, Ilya M. Nasrallah, Yuhan Cui, Guray Erus, Dhivya Srinivasan +47 more

Examining the association between posttraumatic stress disorder and disruptions in cortical networks identified using data-driven methods

Neuropsychopharmacology(2023)10.1038/s41386-023-01763-5

N/A

0.396DataRank · unranked

13 citations

Ashley A. Huggins, Delin Sun, C. Lexi Baird, Courtney C. Haswell, Jessie L. Frijling +63 more

Brain‐wide versus genome‐wide vulnerability biomarkers for severe mental illnesses

Human Brain Mapping(2022)10.1002/hbm.26056

N/A

0.396DataRank · unranked

13 citations

Yizhou Ma, Kathryn S. Hatch, Si Gao, Neda Jahanshad, Paul M. Thompson +11 more

The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI

The Journal of Machine Learning for Biomedical Imaging(2025)10.59275/j.melba.2025-9bd3

Top 49%

0.361DataRank

Top 49%7 citations

Anastasia Janas, Ujjwal Baid, Divya Ramakrishnan, Rachit Saluja, Nader A. Fawzy +95 more

White matter hyperintensity longitudinal morphometric analysis in association with Alzheimer disease

Alzheimer s & Dementia(2023)10.1002/alz.13377

N/A

0.360DataRank · unranked

10 citations

Chia‐Ling Phuah, Babatunde Adeyemo, Kathleen Cheng, Kyle Womack, John E. McCarthy +13 more

D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image Segmentation

arXiv (Cornell University)(2024)10.48550/arxiv.2403.10674

N/A

0.345DataRank · unranked

9 citations

Peijie Qiu, Yichi Zhang, Daniel S. Marcus, Aristeidis Sotiras, Jin Yang

Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-Oncology (I3CR-WANO)

JCO Clinical Cancer Informatics(2023)10.1200/cci.22.00177

N/A

0.345DataRank · unranked

9 citations

Syed Amaan Abidi, Mina Mousa, Mahati Mokkarala, Isabelle Hren, Divya Yadav +10 more

Analyzing heterogeneity in Alzheimer Disease using multimodal normative modeling on imaging-based ATN biomarkers

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.08.15.553412

Top 51%

0.342DataRank

Top 51%6 citations

Tom Earnest, Braden Yang, Deydeep Kothapalli, Andrew J. Aschenbrenner, Jason Hassenstab +9 more

Novel Gyrification Networks Reveal Links with Psychiatric Risk Factors in Early Illness

Cerebral Cortex(2021)10.1093/cercor/bhab288

N/A

0.330DataRank · unranked

8 citations

Anne Ruef, Linda A. Antonucci, Nora Penzel, Aristeidis Sotiras, Mark Sen Dong +22 more

Parsing clinical and neurobiological sources of heterogeneity in depression

medRxiv(2022)10.1101/2022.12.07.22283225

N/A

0.312DataRank · unranked

7 citations

Ty Easley, Wei Zhang, Daphne Lew, Aristeidis Sotiras, Yvette I. Sheline +4 more

Analyzing heterogeneity in Alzheimer disease using multimodal normative modeling on imaging‐based ATN biomarkers

Alzheimer s & Dementia(2025)10.1002/alz.70143

Top 55%

0.304DataRank

Top 55%6 citations

Tom Earnest, Braden Yang, Deydeep Kothapalli, Andrew J. Aschenbrenner, Jason Hassenstab +9 more

Sex-Specific Differences in Patients withIDH1–Wild-Type Grade 4 Glioma in the ReSPOND Consortium

American Journal of Neuroradiology(2024)10.3174/ajnr.a8319

N/A

0.292DataRank · unranked

6 citations

José García, Nisha Korakavi, Nirav Patil, Hamed Akbari, Andrew E. Sloan +20 more

Synthesizing pseudo-T2w images to recapture missing data in neonatal neuroimaging with applications in rs-fMRI

NeuroImage(2022)10.1016/j.neuroimage.2022.119091

N/A

0.292DataRank · unranked

6 citations

Anders Perrone, Dimitrios Alexopoulos, Jeanette K. Kenley, Deanna M. Barch, Claudia Buss +11 more

AgileFormer: Spatially agile and scalable transformer for medical image segmentation

Biomedical Signal Processing and Control(2025)10.1016/j.bspc.2025.108842

N/A

0.269DataRank · unranked

5 citations

Jin Yang, Sayantan Kumar, Soumyendu Sekhar Ghosh, Aristeidis Sotiras, Peijie Qiu

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

medRxiv(2022)10.1101/2022.07.20.22277727

N/A

0.269DataRank · unranked

5 citations

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

Brain functional connectivity, but not neuroanatomy, captures the interrelationship between sex and gender in preadolescents

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.10.31.621379

N/A

0.208DataRank · unranked

3 citations

Roselyne J. Chauvin, Evan M. Gordon, Timothy O. Laumann, Benjamin P. Kay, Samuel R. Krimmel +13 more

Dissecting real-world memory clinical cohort heterogeneity: analysis of neuroanatomical subtypes using HYDRA

Alzheimer s Research & Therapy(2025)10.1186/s13195-025-01850-3

N/A

0.165DataRank · unranked

2 citations

Yunchang Xie, Tammie L.S. Benzinger, Brian A. Gordon, Aristeidis Sotiras, Gordon An

Five dominant dimensions of brain aging are identified via deep learning: associations with clinical, lifestyle, and genetic measures

medRxiv(2023)10.1101/2023.12.29.23300642

N/A

0.165DataRank · unranked

2 citations

Junhao Wen, Guray Erus, Sindhuja Tirumalai Govindarajan, Randa Melhem, Elizabeth Mamourian +48 more

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

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

N/A

0.165DataRank · unranked

2 citations

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

Using machine learning to derive neurobiological subtypes of general psychopathology in late childhood.

Journal of Psychopathology and Clinical Science(2024)10.1037/abn0000898

N/A

0.165DataRank · unranked

2 citations

Randolph M. Dupont, Aristeidis Sotiras, Tom Earnest, Hee Jung Jeong, E. Leighton Durham +5 more

Examining the Most Important Risk Factors for Predicting Youth Persistent and Distressing Psychotic-Like Experiences

Biological Psychiatry Cognitive Neuroscience and Neuroimaging(2024)10.1016/j.bpsc.2024.05.009

N/A

0.165DataRank · unranked

2 citations

Aristeidis Sotiras, Tara A. Niendam, Elaine F. Walker, Joshua J. Jackson, Deanna M. Barch +1 more

Scalable NMF via linearly optimized data compression

PR: pequeños rumiantes(2023)10.1117/12.2654282

N/A

0.165DataRank · unranked

2 citations

Abdalla Bani, Aristeidis Sotiras, Sung Min Ha

SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification

arXiv (Cornell University)(2023)10.48550/arxiv.2311.00048

N/A

0.141DataRank · unranked

1 citations

Pan Xiao, Wenhui Zhu, Yalin Wang, Aristeidis Sotiras, Peijie Qiu

Characterizing the spatial patterns and determinants of cerebrospinal fluid pseudorandom flow in the human brain with low b-value diffusion MRI

Imaging Neuroscience(2025)10.1162/imag_a_00473

N/A

0.124DataRank · unranked

1 citations

Hossein Hosseini, Taher Dehkharghanian, Kevin E. Lindsay, Pamela LaMontagne, Joshua S. Shimony +3 more

Deep learning-based end-to-end scan-type classification, pre-processing, and segmentation of clinical neuro-oncology studies

Revue du droit de l'Union européenne(2023)10.1117/12.2647656

N/A

0.104DataRank · unranked

1 citations

Syed Amaan Abidi, Mina Mousa, Mahati Mokkarala, M. Kelsey, Pamela LaMontagne +3 more

A generative-discriminative deep learning approach to classify radiology reports based on the presence of follow up recommendations

(2023)10.1117/12.2651950

N/A

0.104DataRank · unranked

1 citations

Xiaobing Yu, Aaron Mintz, Jieqi Wang, Mahati Mokkarala, Vamsi R. Narra +4 more

The Spatial Patterns and Determinants of Cerebrospinal Fluid Circulation in the Human Brain

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.08.13.553149

N/A

0.104DataRank · unranked

1 citations

Taher Dehkharghanian, Kevin E. Lindsay, Pamela LaMontagne, Joshua S. Shimony, Tammie L.S. Benzinger +2 more

Patterns of Glucose Metabolism in [ 18 F]FDG PET Indicate Regional Variability and Neurodegeneration in the Progression of Alzheimer’s Dementia

medRxiv(2023)10.1101/2023.11.10.23298396

N/A

0DataRank · unranked

1 citations

Tom Earnest, Sung Min Ha, Abdalla Bani, Deydeep Kothapalli, P Liu +2 more

Scalable Orthonormal Projective NMF via Diversified Stochastic Optimization

Lecture notes in computer science(2023)10.1007/978-3-031-34048-2_38

N/A

0DataRank · unranked

0 citations

Sung Min Ha, Pan Xiao, Tom Earnest, John J. Lee, Aristeidis Sotiras +1 more

MRI-based Identification and Classification of Major Intracranial Tumor Types by Using a 3D Convolutional Neural Network: A Retrospective Multi-institutional Analysis

Radiology Artificial Intelligence(2021)10.1148/ryai.2021200301

N/A

0DataRank · unranked

55 citations

Aristeidis Sotiras, Mikhail Milchenko, Pamela LaMontagne, Michael Hileman, Daniel S. Marcus +1 more

AmyloidPETNet: Classification of Amyloid Positivity in Brain PET Imaging Using End-to-End Deep Learning

Radiology(2024)10.1148/radiol.231442

N/A

0DataRank · unranked

30 citations

Maria Rosana Ponisio, Pan Xiao, Sung Min Ha, Satrajit Chakrabarty, John J. Lee +13 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

SC-VAE: Sparse coding-based variational autoencoder with learned ISTA

Pattern Recognition(2024)10.1016/j.patcog.2024.111187

N/A

0DataRank · unranked

22 citations

Peijie Qiu, Sung Min Ha, Abdalla Bani, Shuang Zhou, Aristeidis Sotiras +1 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

Machine learning-based prognostic subgrouping of glioblastoma: A multicenter study

Neuro-Oncology(2024)10.1093/neuonc/noae260

N/A

0DataRank · unranked

12 citations

Spyridon Bakas, Chiharu Sako, Anahita Fathi Kazerooni, Javier Villanueva-Meyer, José García +83 more

Data‐driven decomposition and staging of flortaucipir uptake in Alzheimer's disease

Alzheimer s & Dementia(2024)10.1002/alz.13769

N/A

0DataRank · unranked

14 citations

Abdalla Bani, Sung Min Ha, Diana A. Hobbs, Deydeep Kothapalli, Braden Yang +6 more

Evaluation of ComBat Harmonization for Reducing Across‐Tracer Differences in Regional Amyloid PET Analyses

Human Brain Mapping(2024)10.1002/hbm.70068

N/A

0DataRank · unranked

8 citations

Tom Earnest, Sayantan Kumar, Deydeep Kothapalli, Tammie L.S. Benzinger, Brian A. Gordon +2 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

The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview

Lecture notes in computer science(2020)10.1007/978-3-030-46643-5_38

N/A

0DataRank · unranked

90 citations

Ashish Singh, Saima Rathore, Aimilia Gastounioti, Mark Bergman, Phuc Ngo +20 more

Improving Normative Modeling for Multi-Modal Neuroimaging Data Using Mixture-of-Product-of-Experts Variational Autoencoders

PubMed(2024)10.1109/isbi56570.2024.10635897

N/A

0DataRank · unranked

6 citations

Philip Payne, Aristeidis Sotiras, Sayantan Kumar

Dynamic U-Net: Adaptively Calibrate Features for Abdominal Multi-organ Segmentation

arXiv (Cornell University)(2024)10.48550/arxiv.2403.07303

N/A

0DataRank · unranked

2 citations

Daniel S. Marcus, Aristeidis Sotiras, Yang Jin

Evaluation of ComBat harmonization for reducing across-tracer differences in regional amyloid PET analyses

medRxiv(2024)10.1101/2024.06.14.24308952

N/A

0DataRank · unranked

1 citations

Tom Earnest, Sayantan Kumar, Deydeep Kothapalli, Tammie L.S. Benzinger, Brian A. Gordon +2 more

Comprehensive evaluation of AT(N) imaging biomarkers for predicting cognition

medRxiv(2024)10.1101/2024.11.25.24317943

N/A

0DataRank · unranked

1 citations

Braden Yang, Deydeep Kothapalli, Aristeidis Sotiras, the Alzheimer’s Disease Neuroimaging Initiative, Tom Earnest

DMC-Net: Lightweight Dynamic Multi-Scale and Multi-Resolution Convolution Network for Pancreas Segmentation in CT Images

arXiv (Cornell University)(2024)10.48550/arxiv.2410.02129

N/A

0DataRank · unranked

0 citations

Daniel S. Marcus, Aristeidis Sotiras, Yang Jin

Neurocognitive and functional heterogeneity in depressed youth

Neuropsychopharmacology(2020)10.1038/s41386-020-00871-w

N/A

0DataRank · unranked

25 citations

Antonia N. Kaczkurkin, Aristeidis Sotiras, Azeez Adebimpe, Danielle S. Bassett, Monica E. Calkins +13 more

DMC-Net: Lightweight Dynamic Multi-scale and Multi-resolution convolution network for pancreas segmentation in CT images

Biomedical Signal Processing and Control(2025)10.1016/j.bspc.2025.107896

N/A

0DataRank · unranked

8 citations

Daniel S. Marcus, Aristeidis Sotiras, Jin Yang

Structural brain networks in remitted psychotic depression

Neuropsychopharmacology(2020)10.1038/s41386-020-0646-7

N/A

0DataRank · unranked

29 citations

Antonia N. Kaczkurkin, Aristeidis Sotiras, Benoit H. Mulsant, Erin W. Dickie, Alastair J. Flint +11 more

Overall survival prediction in glioblastoma patients using structural magnetic resonance imaging (MRI): advanced radiomic features may compensate for lack of advanced MRI modalities

Journal of Medical Imaging(2020)10.1117/1.jmi.7.3.031505

N/A

0DataRank · unranked

55 citations

Gaurav Shukla, Hamed Akbari, Guray Erus, Aristeidis Sotiras, Saima Rathore +7 more

Parsing Clinical and Neurobiological Sources of Heterogeneity in Depression

Biological Psychiatry(2025)10.1016/j.biopsych.2025.04.025

N/A

0DataRank · unranked

6 citations

Ty Easley, Wei Zhang, Daphne Lew, Aristeidis Sotiras, Yvette I. Sheline +4 more

Comparing Data-Driven Subtypes of Depression Informed by Clinical and Neuroimaging Data: A Registered Report

Biological Psychiatry Global Open Science(2025)10.1016/j.bpsgos.2025.100473

N/A

0DataRank · unranked

4 citations

Setthanan Jarukasemkit, Leda Balogh, Fyzeen Ahmad, Petra Lenzini, Aristeidis Sotiras +2 more

QCResUNet: Joint subject-level and voxel-level segmentation quality prediction

Medical Image Analysis(2025)10.1016/j.media.2025.103718

N/A

0DataRank · unranked

3 citations

Satrajit Chakrabarty, Phuc Nguyen, Soumyendu Sekhar Ghosh, Aristeidis Sotiras, Peijie Qiu

Brain functional connectivity, but not neuroanatomy, captures the interrelationship between sex and gender in preadolescents

Developmental Cognitive Neuroscience(2025)10.1016/j.dcn.2025.101624

N/A

0DataRank · unranked

1 citations

Roselyne J. Chauvin, Evan M. Gordon, Timothy O. Laumann, Benjamin P. Kay, Babatunde Adeyemo +14 more

Multimodal Variational Autoencoder: A Barycentric View

Proceedings of the AAAI Conference on Artificial Intelligence(2025)10.1609/aaai.v39i19.34209

N/A

0DataRank · unranked

4 citations

Wenhui Zhu, Sayantan Kumar, Xiwen Chen, Yang Jin, Xiaotong Sun +4 more

Adapting Medical Vision Foundation Models for Volumetric Medical Image Segmentation via Active Learning and Selective Semi-supervised Fine-tuning

arXiv (Cornell University)(2025)10.48550/arxiv.2509.10784

N/A

0DataRank · unranked

0 citations

Daniel S. Marcus, Aristeidis Sotiras, Jin Yang

Predicting future cognitive impairment in preclinical Alzheimer’s disease using amyloid PET and MRI: a multisite machine learning study

medRxiv(2025)10.1101/2025.10.15.25337507

N/A

0DataRank · unranked

0 citations

Tom Earnest, Murat Bilgel, Marilyn Albert, Sterling C. Johnson, Christos Davatzikos +11 more

Optimal Atlas Registration and Resting State Functional Architecture in Patients with Glioblastoma

Research Square(2022)10.21203/rs.3.rs-1804717/v1

N/A

0DataRank · unranked

2 citations

Joshua S. Shimony, Satrajit Chakrabarty, Aaron Tanenbaum, Carl D. Hacker, Kara M. Donovan +7 more

Large-Scale Evaluation of Machine Learning Models in Identifying Follow-Up Recommendations in Radiology Reports

Radiology(2025)10.1148/radiol.242167

N/A

0DataRank · unranked

0 citations

Xiaobing Yu, Sung Min Ha, Abdalla Bani, Aaron Mintz, Jieqi Wang +11 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

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

Effects of clinical, comorbid, and social determinants of health on brain ageing in people with and without HIV: a retrospective case-control study

The Lancet HIV(2023)10.1016/s2352-3018(22)00373-3

N/A

0DataRank · unranked

28 citations

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Human Brain Mapping(2022)10.1002/hbm.25811

N/A

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16 citations

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Neuron(2022)10.1016/j.neuron.2022.09.020

N/A

0DataRank · unranked

22 citations

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Cell Reports(2023)10.1016/j.celrep.2023.113487

N/A

0DataRank · unranked

8 citations

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Brain Communications(2022)10.1093/braincomms/fcac117

N/A

0DataRank · unranked

29 citations

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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

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bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.04.19.440501

N/A

0DataRank · unranked

7 citations

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Human Brain Mapping(2023)10.1002/hbm.26235

N/A

0DataRank · unranked

4 citations

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PubMed(2023)10.1117/12.2654369

N/A

0DataRank · unranked

15 citations

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Development of White Matter Fiber Covariance Networks Supports Executive Function in Youth

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.02.09.527696

N/A

0DataRank · unranked

12 citations

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Timing and Type of Early Psychopathology Symptoms Predict Longitudinal Change in Cortical Thickness From Middle Childhood Into Early Adolescence

Biological Psychiatry Cognitive Neuroscience and Neuroimaging(2021)10.1016/j.bpsc.2021.06.013

N/A

0DataRank · unranked

15 citations

Robert J. Jirsaraie, Rebecca Tillman, Joan L. Luby, Deanna M. Barch, Aristeidis Sotiras +1 more

Non-invasive classification of IDH mutation status of gliomas from multi-modal MRI using a 3D convolutional neural network

PubMed(2023)10.1117/12.2651391

N/A

0DataRank · unranked

2 citations

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PubMed(2023)10.1117/12.2654464

N/A

0DataRank · unranked

1 citations

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