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Neuroscience

D-Index
73
Citations
25592
World Ranking
2173
National Ranking
1032

Overview

Russell T. Shinohara is affiliated with the University of Pennsylvania in the United States. Their research spans multiple fields, with a significant focus on medicine and neuroscience. They have contributed notably to subfields such as radiology, nuclear medicine and imaging, cognitive neuroscience, molecular biology, experimental and cognitive psychology, and pathology and forensic medicine.

Their research topics include:

  • Functional Brain Connectivity Studies
  • Advanced Neuroimaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Multiple Sclerosis Research Studies
  • Radiomics and Machine Learning in Medical Imaging
  • Mental Health Research Topics
  • Neural dynamics and brain function

Shinohara's work has appeared in several frequent publication venues, including:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Biological Psychiatry
  • Human Brain Mapping
  • NeuroImage
  • Scientific Reports

Their recent papers demonstrate a range of topics and publication years:

  • SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network, 2021, Nature Methods
  • Image segmentations produced by BAMF under the AIMI Annotations initiative, 2024, arXiv (Cornell University)
  • Individual Variation in Functional Topography of Association Networks in Youth, 2020, Neuron
  • Longitudinal ComBat: A method for harmonizing longitudinal multi-scanner imaging data, 2020, NeuroImage
  • Two distinct neuroanatomical subtypes of schizophrenia revealed using machine learning, 2020, Brain

Shinohara frequently collaborates with other researchers, including:

  • Theodore D. Satterthwaite
  • Ruben C. Gur
  • Raquel E. Gur
  • Christos Davatzikos
  • Aaron Alexander-Bloch

Best Publications

  • Brain charts for the human lifespan

    Unknown

  • Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

    Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer

  • Harmonization of cortical thickness measurements across scanners and sites.

    Jean-Philippe Fortin;Nicholas C. Cullen;Yvette I. Sheline;Warren D. Taylor

  • Harmonization of multi-site diffusion tensor imaging data.

    Jean-Philippe Fortin;Drew Parker;Birkan Tunç;Takanori Watanabe

  • 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

  • The extent and drivers of gender imbalance in neuroscience reference lists.

    Jordan D. Dworkin;Kristin A. Linn;Erin G. Teich;Perry Zurn

  • On testing for spatial correspondence between maps of human brain structure and function.

    Aaron F. Alexander-Bloch;Haochang Shou;Siyuan Liu;Theodore D. Satterthwaite

  • Development of structure–function coupling in human brain networks during youth

    Graham L. Baum;Graham L. Baum;Zaixu Cui;Zaixu Cui;David R. Roalf;David R. Roalf;Rastko Ciric

  • Linked dimensions of psychopathology and connectivity in functional brain networks.

    Cedric Huchuan Xia;Zongming Ma;Rastko Ciric;Shi Gu;Shi Gu

  • Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan.

    Raymond Pomponio;Guray Erus;Mohamad Habes;Jimit Doshi

  • Quantitative assessment of structural image quality.

    Adon F.G. Rosen;David R. Roalf;Kosha Ruparel;Jason Blake

  • Statistical harmonization corrects site effects in functional connectivity measurements from multi-site fMRI data.

    Meichen Yu;Kristin A. Linn;Philip A. Cook;Mary L. Phillips

  • Statistical normalization techniques for magnetic resonance imaging

    Russell T. Shinohara;Elizabeth M. Sweeney;Jeff Goldsmith;Navid Shiee

  • Modular Segregation of Structural Brain Networks Supports the Development of Executive Function in Youth

    Graham L. Baum;Rastko Ciric;David R. Roalf;Richard F. Betzel

  • The central vein sign and its clinical evaluation for the diagnosis of multiple sclerosis: a consensus statement from the North American Imaging in Multiple Sclerosis Cooperative.

    Pascal Sati;Jiwon Oh;R. Todd Constable;Nikos Evangelou

  • Individual Variation in Functional Topography of Association Networks in Youth

    Zaixu Cui;Hongming Li;Cedric H. Xia;Bart Larsen

  • Large-scale Radiomic Profiling of Recurrent Glioblastoma Identifies an Imaging Predictor for Stratifying Anti-Angiogenic Treatment Response

    Philipp Kickingereder;Michael Götz;John Muschelli;Antje Wick

  • Longitudinal ComBat: A method for harmonizing longitudinal multi-scanner imaging data.

    Joanne C. Beer;Nicholas J. Tustison;Philip A. Cook;Christos Davatzikos

  • Two distinct neuroanatomical subtypes of schizophrenia revealed using machine learning.

    Ganesh B Chand;Dominic B Dwyer;Guray Erus;Aristeidis Sotiras;Aristeidis Sotiras

  • Impact of puberty on the evolution of cerebral perfusion during adolescence

    Theodore D. Satterthwaite;Russell T. Shinohara;Daniel H. Wolf;Ryan D. Hopson

  • Normative brain size variation and brain shape diversity in humans

    P. K. Reardon;Jakob Seidlitz;Simon Vandekar;Siyuan Liu

  • Common and Dissociable Mechanisms of Executive System Dysfunction Across Psychiatric Disorders in Youth.

    Sheila Shanmugan;Daniel H. Wolf;Monica E. Calkins;Tyler M. Moore

  • Neurological injury in adults treated with extracorporeal membrane oxygenation

    Farrah J. Mateen;Rajanandini Muralidharan;Russell T. Shinohara;Joseph E. Parisi

Frequent Co-Authors

Theodore D. Satterthwaite
Theodore D. Satterthwaite University of Pennsylvania
Raquel E. Gur
Raquel E. Gur University of Pennsylvania
Ruben C. Gur
Ruben C. Gur University of Pennsylvania
David R. Roalf
David R. Roalf University of Pennsylvania
Danielle S. Bassett
Danielle S. Bassett University of Pennsylvania
Tyler M. Moore
Tyler M. Moore University of Pennsylvania
Daniel H. Wolf
Daniel H. Wolf University of Pennsylvania
Mark A. Elliott
Mark A. Elliott University of Pennsylvania
Aaron Alexander-Bloch
Aaron Alexander-Bloch University of Pennsylvania
Philip A. Cook
Philip A. Cook University of Pennsylvania

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