Population-wide principal component-based quantification of blood-brain-barrier dynamics in multiple sclerosis. - Russell T. Shinohara; Ciprian M. Crainiceanu; Brian S. Caffo; María Inés Gaitán; Daniel S. Reich (NeuroImage, 2011)

Information Criteria for Dynamic Contrast-Enhanced Magnetic Resonance Imaging. - Russell T. Shinohara; Ciprian S. Crainiceanu; Brian S. Caffo; Daniel S. Reich (PRNI, 2013)

Combining Generative Models for Multifocal Glioma Segmentation and Registration. - Dongjin Kwon; Russell T. Shinohara; Hamed Akbari; Christos Davatzikos (MICCAI (1), 2014)

Interpreting support vector machine models for multivariate group wise analysis in neuroimaging. - Bilwaj Gaonkar; Russell T. Shinohara; Christos Davatzikos (Medical Image Anal., 2015)

Removing inter-subject technical variability in magnetic resonance imaging studies. - Jean-Philippe Fortin; Elizabeth M. Sweeney; John Muschelli; Ciprian M. Crainiceanu; Russell T. Shinohara (NeuroImage, 2016)

Power estimation for non-standardized multisite studies. - Anisha Keshavan; Friedemann Paul; Mona K. Beyer; Alyssa H. Zhu; Nico Papinutto; Russell T. Shinohara; William Stern; Michael Amann; Rohit Bakshi; Antje Bischof; Alessandro Carriero; Manuel Comabella; et al. (NeuroImage, 2016)

Control-group feature normalization for multivariate pattern analysis of structural MRI data using the support vector machine. - Kristin A. Linn; Bilwaj Gaonkar; Theodore D. Satterthwaite; Jimit Doshi; Christos Davatzikos; Russell T. Shinohara (NeuroImage, 2016)

Statistical estimation of T1 relaxation times using conventional magnetic resonance imaging. - Amanda F. Mejia; Elizabeth M. Sweeney; Blake Dewey; Govind Nair; Pascal Sati; Colin Shea; Daniel S. Reich; Russell T. Shinohara (NeuroImage, 2016)

Subject-level measurement of local cortical coupling. - Simon N. Vandekar; Russell T. Shinohara; Armin Raznahan; Ryan Hopson; David R. Roalf; Kosha Ruparel; Ruben C. Gur; Raquel E. Gur; Theodore D. Satterthwaite (NeuroImage, 2016)

Abnormality Detection via Iterative Deformable Registration and Basis-Pursuit Decomposition. - Ke Zeng; Güray Erus; Aristeidis Sotiras; Russell T. Shinohara; Christos Davatzikos (IEEE Trans. Medical Imaging, 2016)

Multiple Sclerosis Lesion Segmentation Using Joint Label Fusion. - Mengjin Dong; Ipek Oguz; Nagesh Subbana; Peter A. Calabresi; Russell T. Shinohara; Paul A. Yushkevich (Patch-MI@MICCAI, 2017)

Joint Intensity Fusion Image Synthesis Applied to Multiple Sclerosis Lesion Segmentation. - Greg M. Fleishman; Alessandra Valcarcel; Dzung L. Pham; Snehashis Roy; Peter A. Calabresi; Paul A. Yushkevich; Russell T. Shinohara; Ipek Oguz (BrainLes@MICCAI, 2017)

Dice Overlap Measures for Objects of Unknown Number: Application to Lesion Segmentation. - Ipek Oguz; Aaron Carass; Dzung L. Pham; Snehashis Roy; Nagesh Subbana; Peter A. Calabresi; Paul A. Yushkevich; Russell T. Shinohara; Jerry L. Prince (BrainLes@MICCAI, 2017)

Gradient Boosted Trees for Corrective Learning. - Baris U. Oguz; Russell T. Shinohara; Paul A. Yushkevich; Ipek Oguz (MLMI@MICCAI, 2017)

Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity. - Rastko Ciric; Daniel H. Wolf; Jonathan D. Power; David R. Roalf; Graham L. Baum; Kosha Ruparel; Russell T. Shinohara; Mark A. Elliott; Simon B. Eickhoff; Christos Davatzikos; Ruben C. Gur; Raquel E. Gur; et al. (NeuroImage, 2017)

Harmonization of multi-site diffusion tensor imaging data. - Jean-Philippe Fortin; Drew Parker; Birkan Tunç; Takanori Watanabe; Mark A. Elliott; Kosha Ruparel; David R. Roalf; Theodore D. Satterthwaite; Ruben C. Gur; Raquel E. Gur; Robert T. Schultz; Ragini Verma; et al. (NeuroImage, 2017)

MIMoSA: An Approach to Automatically Segment T2 Hyperintense and T1 Hypointense Lesions in Multiple Sclerosis. - Alessandra M. Valcarcel; Kristin A. Linn; Fariha Khalid; Simon N. Vandekar; Shahamat Tauhid; Theodore D. Satterthwaite; John Muschelli; Rohit Bakshi; Russell T. Shinohara (BrainLes@MICCAI (1), 2018)

The emergent integrated network structure of scientific research. - Jordan D. Dworkin; Russell T. Shinohara; Danielle S. Bassett (CoRR, 2018)

The landscape of NeuroImage-ing research. - Jordan D. Dworkin; Russell T. Shinohara; Danielle S. Bassett (CoRR, 2018)

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. - Spyridon Bakas; Mauricio Reyes 001; András Jakab; Stefan Bauer; Markus Rempfler; Alessandro Crimi; Russell Takeshi Shinohara; Christoph Berger; Sung Min Ha; Martin Rozycki; Marcel Prastawa; Esther Alberts; et al. (CoRR, 2018)

On testing for spatial correspondence between maps of human brain structure and function. - Aaron Alexander-Bloch; Haochang Shou; Siyuan Liu; Theodore D. Satterthwaite; David C. Glahn; Russell T. Shinohara; Simon N. Vandekar; Armin Raznahan (NeuroImage, 2018)

The landscape of NeuroImage-ing research. - Jordan D. Dworkin; Russell T. Shinohara; Danielle S. Bassett (NeuroImage, 2018)

Harmonization of cortical thickness measurements across scanners and sites. - Jean-Philippe Fortin; Nicholas C. Cullen; Yvette I. Sheline; Warren D. Taylor; Irem Aselcioglu; Philip A. Cook; Phil Adams; Crystal Cooper; Maurizio Fava; Patrick J. McGrath; Melvin G. McInnis; Mary L. Phillips; et al. (NeuroImage, 2018)

Quantitative assessment of structural image quality. - Adon F. G. Rosen; David R. Roalf; Kosha Ruparel; Jason Blake; Kevin Seelaus; Lakshmi P. Villa; Rastko Ciric; Philip A. Cook; Christos Davatzikos; Mark A. Elliott; Angel Garcia de La Garza; Efstathios D. Gennatas; et al. (NeuroImage, 2018)

The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview. - Sarthak Pati; Ashish Singh; Saima Rathore; Aimilia Gastounioti; Mark Bergman; Phuc Ngo; Sung Min Ha; Dimitrios Bounias; James Minock; Grayson Murphy; Hongming Li; Amit Bhattarai; et al. (BrainLes@MICCAI (2), 2019)

Multiple Sclerosis Lesion Segmentation with Tiramisu and 2.5D Stacked Slices. - Huahong Zhang; Alessandra M. Valcarcel; Rohit Bakshi; Renxin Chu; Francesca Bagnato; Russell T. Shinohara; Kilian Hett; Ipek Oguz (MICCAI (3), 2019)

Integrative radiomic analysis for pre-surgical prognostic stratification of glioblastoma patients: from advanced to basic MRI protocols. - Spyridon Bakas; Gaurav Shukla; Hamed Akbari; Güray Erus; Aristeidis Sotiras; Saima Rathore; Chiharu Sako; Sung Min Ha; Martin Rozycki; Ashish Singh; Russell T. Shinohara; Michel Bilello; et al. (Image-Guided Procedures, 2020)

The extent and drivers of gender imbalance in neuroscience reference lists. - Jordan D. Dworkin; Kristin A. Linn; Erin G. Teich; Perry Zurn; Russell T. Shinohara; Danielle S. Bassett (CoRR, 2020)

Longitudinal ComBat: A method for harmonizing longitudinal multi-scanner imaging data. - Joanne C. Beer; Nicholas J. Tustison; Philip A. Cook; Christos Davatzikos; Yvette I. Sheline; Russell T. Shinohara; Kristin A. Linn (NeuroImage, 2020)

Sex-biased trajectories of amygdalo-hippocampal morphology change over human development. - Ari M. Fish; Ajay Nadig; Jakob Seidlitz; Paul K. Reardon; Catherine Mankiw; Cassidy L. McDermott; Jonathan D. Blumenthal; Liv S. Clasen; François Lalonde; Jason P. Lerch; M. Mallar Chakravarty; Russell T. Shinohara; et al. (NeuroImage, 2020)

Increased power by harmonizing structural MRI site differences with the ComBat batch adjustment method in ENIGMA. - Joaquim Radua; Eduard Vieta; Russell T. Shinohara; Peter V. Kochunov; Yann Quidé; Melissa J. Green; Cynthia S. Weickert; Thomas Weickert; Jason Bruggemann; Tilo Kircher; Igor Nenadic; Murray J. Cairns; et al. (NeuroImage, 2020)

Radiomic features predict local failure-free survival in stage III NSCLC adenocarcinoma treated with chemoradiation. - José Marcio Luna; Andrew R. Barsky; Russell T. Shinohara; Alexandra D. Dreyfuss; Leonid Roshkovan; Michelle Hershman; Babak Haghighi; Bardia Yousefi; Peter B. Noël; Keith A. Cengel; Sharyn Katz; Eric S. Diffenderfer; et al. (Computer-Aided Diagnosis, 2021)

The Federated Tumor Segmentation (FeTS) Challenge. - Sarthak Pati; Ujjwal Baid; Maximilian Zenk; Brandon Edwards; Micah J. Sheller; G. Anthony Reina; Patrick Foley; Alexey Gruzdev; Jason Martin; Shadi Albarqouni; Yong Chen 016; Russell Taki Shinohara; et al. (CoRR, 2021)

The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification. - Ujjwal Baid; Satyam Ghodasara; Michel Bilello; Suyash Mohan; Evan Calabrese; Errol Colak; Keyvan Farahani; Jayashree Kalpathy-Cramer; Felipe C. Kitamura; Sarthak Pati; Luciano M. Prevedello; Jeffrey D. Rudie; et al. (CoRR, 2021)

Spatial Shrinkage Via the Product Independent Gaussian Process Prior. - Arkaprava Roy; Brian J. Reich; Joseph Guinness; Russell T. Shinohara; Ana-Maria Staicu (J. Comput. Graph. Stat., 2021)

Iterative ComBat methods for harmonization of radiomic features. - Hannah Horng; Apurva Singh; Bardia Yousefi; Eric A. Cohen; Babak Haghighi; Sharyn Katz; Peter B. Noël; Russell T. Shinohara; Despina Kontos (Computer-Aided Diagnosis, 2022)

Resampling and harmonization for mitigation of heterogeneity in imaging parameters: a comparative study. - Apurva Singh; Hannah Horng; Leonid Roshkovan; Michelle Hershman; Russell T. Shinohara; Sharyn Katz; Despina Kontos (Computer-Aided Diagnosis, 2022)

Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: emerging machine learning techniques and future avenues. - Francesco La Rosa; Maxence Wynen; Omar Al-Louzi; Erin S. Beck; Till Huelnhagen; Pietro Maggi; Jean-Philippe Thiran; Tobias Kober; Russell T. Shinohara; Pascal Sati; Daniel S. Reich; Cristina Granziera; et al. (CoRR, 2022)

Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes. - Junhao Wen 002; Erdem Varol; Aristeidis Sotiras; Zhijian Yang; Ganesh B. Chand; Güray Erus; Haochang Shou; Ahmed Abdulkadir; Gyujoon Hwang; Dominic B. Dwyer; Alessandro Pigoni; Paola Dazzan; et al. (Medical Image Anal., 2022)

Privacy-preserving harmonization via distributed ComBat. - Andrew A. Chen; Chongliang Luo; Yong Chen 016; Russell T. Shinohara; Haochang Shou (NeuroImage, 2022)

Harmonizing functional connectivity reduces scanner effects in community detection. - Andrew A. Chen; Dhivya Srinivasan; Raymond Pomponio; Yong Fan 001; Ilya M. Nasrallah; Susan M. Resnick; Lori L. Beason-Held; Christos Davatzikos; Theodore D. Satterthwaite; Dani S. Bassett; Russell T. Shinohara; Haochang Shou (NeuroImage, 2022)

Curation of BIDS (CuBIDS): A workflow and software package for streamlining reproducible curation of large BIDS datasets. - Sydney Covitz; Tinashe M. Tapera; Azeez Adebimpe; Aaron Alexander-Bloch; Maxwell A. Bertolero; Eric Feczko; Alexandre R. Franco; Raquel E. Gur; Ruben C. Gur; Timothy Hendrickson; Audrey Houghton; Kahini Mehta; et al. (NeuroImage, 2022)

A framework For brain atlases: Lessons from seizure dynamics. - Andrew Y. Revell; Alexander B. Silva; T. Campbell Arnold; Joel M. Stein; Sandhitsu R. Das; Russell T. Shinohara; Danielle S. Bassett; Brian Litt; Kathryn A. Davis (NeuroImage, 2022)

Spatially-enhanced clusterwise inference for testing and localizing intermodal correspondence. - Sara Weinstein; Simon N. Vandekar; Erica B. Baller; Danni Tu; Azeez Adebimpe; Tinashe M. Tapera; Ruben C. Gur; Raquel E. Gur; John A. Detre; Armin Raznahan; Aaron Alexander-Bloch; Theodore D. Satterthwaite; et al. (NeuroImage, 2022)

MultiComBat: ComBat harmonization of multiple batch variables. - Hannah Horng; Despina Kontos; Russell T. Shinohara (Computer-Aided Diagnosis, 2023)

A radiomics-based model for the outcome prediction in COVID-19 positive patients through deep learning with both longitudinal chest x-ray and chest computed tomography images. - Chunrui Zou; Walter C. Mankowski; Lauren Pantalone; Shefali Setia Verma; Eduardo Jose Mortani Barbosa Jr.; Tessa S. Cook; Peter B. Noël; Erica L. Carpenter; Jeffrey C. Thompson; Russell T. Shinohara; Sharyn Katz; Despina Kontos (Computer-Aided Diagnosis, 2023)

Penalized Non-Linear Canonical Correlation Analysis for Ordinal Data with Application to the International Classification of Functioning, Disability and Health. - Jan Gertheiss; Russell T. Shinohara (SDM, 2023)

The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma. - Dominic LaBella; Maruf Adewole; Michelle Alonso-Basanta; Talissa Altes; Syed Muhammad Anwar; Ujjwal Baid; Timothy Bergquist; Radhika Bhalerao; Sully F. Chen; Verena Chung; Gian Marco Conte; Farouk Dako; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting. - Florian Kofler; Felix Meissen; Felix Steinbauer; Robert Graf; Eva Oswald; Ezequiel de la Rosa; Hongwei Bran Li; Ujjwal Baid; Florian A. Hölzl; Özgün Turgut; Izabela Horvath; Diana Waldmannstetter; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn). - Hongwei Bran Li; Gian Marco Conte; Syed Muhammad Anwar; Florian Kofler; Koen Van Leemput; Marie Piraud; Ivan Ezhov; Felix Meissen; Maruf Adewole; Anastasia Janas; Anahita Fathi Kazerooni; Dominic LaBella; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). - Anahita Fathi Kazerooni; Nastaran Khalili; Xinyang Liu; Debanjan Haldar; Zhifan Jiang; Syed Muhammad Anwar; Jake Albrecht; Maruf Adewole; Udunna Anazodo; Hannah Anderson; Sina Bagheri; Ujjwal Baid; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa). - Maruf Adewole; Jeffrey D. Rudie; Anu Gbadamosi; Oluyemisi Toyobo; Raymond Confidence; Dong Zhang 009; Olubukola Omidiji; Rachel Akinola; Mohammad Abba Suwaid; Adaobi Emegoakor; Nancy Ojo; Kenneth Aguh; et al. (CoRR, 2023)

ModelArray: An R package for statistical analysis of fixel-wise data. - Chenying Zhao; Tinashe M. Tapera; Joëlle Bagautdinova; Josiane Bourque; Sydney Covitz; Raquel E. Gur; Ruben C. Gur; Bart Larsen; Kahini Mehta; Steven L. Meisler; Kristin Murtha; John Muschelli; et al. (NeuroImage, 2023)

Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization. - Fengling Hu; Andrew A. Chen; Hannah Horng; Vishnu Bashyam; Christos Davatzikos; Aaron Alexander-Bloch; Mingyao Li; Haochang Shou; Theodore D. Satterthwaite; Meichen Yu; Russell T. Shinohara (NeuroImage, 2023)

Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge. - Dominic LaBella; Ujjwal Baid; Omaditya Khanna; Shan McBurney-Lin; Ryan McLean; Pierre Nedelec; Arif Rashid; Nourel Hoda Tahon; Talissa Altes; Radhika Bhalerao; Yaseen Dhemesh; Devon Godfrey; et al. (CoRR, 2024)

BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023. - Anahita Fathi Kazerooni; Nastaran Khalili; Xinyang Liu; Debanjan Haldar; Zhifan Jiang; Anna Zapaishchykova; Julija Pavaine; Lubdha M. Shah; Blaise V. Jones; Nakul Sheth; Sanjay P. Prabhu; Aaron S. McAllister; et al. (CoRR, 2024)

Disparities in seizure outcomes revealed by large language models. - Kevin Xie; William K. S. Ojemann; Ryan S. Gallagher; Russell T. Shinohara; Alfredo Lucas; Chloe E. Hill; Roy H. Hamilton; Kevin B. Johnson; Dan Roth 001; Brian Litt; Colin A. Ellis (J. Am. Medical Informatics Assoc., 2024)

PARE: A framework for removal of confounding effects from any distance-based dimension reduction method. - Andrew A. Chen; Kelly Clark; Blake E. Dewey; Anna Duval; Nicole Pellegrini; Govind Nair; Youmna Jalkh; Samar Khalil; Jon Zurawski; Peter A. Calabresi; Daniel S. Reich; Rohit Bakshi; et al. (PLoS Comput. Biol., 2024)

Covariance Assisted Multivariate Penalized Additive Regression (CoMPAdRe). - Neel Desai; Veerabhadran Baladandayuthapani; Russell T. Shinohara; Jeffrey S. Morris (J. Comput. Graph. Stat., 2025)

Brain Tumor Sequence Registration (BraTS-Reg) Challenge Dataset. - Bhakti Baheti; Satrajit Chakrabarty; Hamed Akbari; Michel Bilello; Benedikt Wiestler; Julian Schwarting; Evan Calabrese; Jeffrey D. Rudie; Syed Amaan Abidi; Mina Mousa; Javier E. Villanueva-Meyer; Brandon K. K. Fields; et al. (Zenodo, 2025)