World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
80
Citations
34645
World Ranking
1058
National Ranking
565

Overview

Richard M. Leahy is affiliated with the University of Southern California in the United States. Their research spans multiple fields, notably Medicine and Neuroscience, with a strong focus on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Psychiatry and Mental Health, and Pediatrics, Perinatology and Child Health.

The scientist's work covers several main topics, including:

  • Functional Brain Connectivity Studies
  • Advanced MRI Techniques and Applications
  • Advanced Neuroimaging Techniques and Applications
  • EEG and Brain-Computer Interfaces
  • Neural Dynamics and Brain Function
  • Epilepsy Research and Treatment
  • Neonatal and Fetal Brain Pathology

Frequent co-authors collaborating with Richard M. Leahy include Anand A. Joshi, Haleh Akrami, Takfarinas Medani, Jian Li, and Soyoung Choi.

The venues in which they frequently publish are varied and include:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • NeuroImage
  • Journal of Neuroscience Methods

Recent papers by Richard M. Leahy illustrate a broad range of neuroimaging and electrophysiological research:

  • Age differences in the functional architecture of the human brain, 2022, Cerebral Cortex
  • A hybrid high-resolution anatomical MRI atlas with sub-parcellation of cortical gyri using resting fMRI, 2022, Journal of Neuroscience Methods
  • Electrophysiological scarring in remitted depressed patients: Elevated EEG functional connectivity between the posterior cingulate cortex and the subgenual prefrontal cortex as a neural marker for rumination, 2020, Journal of Affective Disorders
  • A robust variational autoencoder using beta divergence, 2021, Knowledge-Based Systems
  • Reduced subgenual cingulate-dorsolateral prefrontal connectivity as an electrophysiological marker for depression, 2022, Scientific Reports

Richard M. Leahy has contributed to book publications with Springer Science+Business Media. Titles include:

  • Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops (2023)
  • Multiscale Multimodal Medical Imaging (2022)
  • Multimodal Learning for Clinical Decision Support (2021)

Best Publications

  • Brainstorm: a user-friendly application for MEG/EEG analysis

    François Tadel;Sylvain Baillet;John C. Mosher;Dimitrios Pantazis

  • Electromagnetic brain mapping

    S. Baillet;J.C. Mosher;R.M. Leahy

  • An optimal graph theoretic approach to data clustering: theory and its application to image segmentation

    Z. Wu;R. Leahy

  • Multiple dipole modeling and localization from spatio-temporal MEG data

    J.C. Mosher;P.S. Lewis;R.M. Leahy

  • Magnetic resonance image tissue classification using a partial volume model.

    David W. Shattuck;Stephanie R. Sandor-Leahy;Kirt A. Schaper;David A. Rottenberg;David A. Rottenberg

  • EEG and MEG: forward solutions for inverse methods

    J.C. Mosher;R.M. Leahy;P.S. Lewis

  • BrainSuite: An automated cortical surface identification tool

    David W Shattuck;Richard M Leahy

  • A generalized EM algorithm for 3-D Bayesian reconstruction from Poisson data using Gibbs priors

    T. Hebert;R. Leahy

  • High-resolution 3D Bayesian image reconstruction using the microPET small-animal scanner

    Jinyi Qi;Richard M Leahy;Simon R Cherry;Arion Chatziioannou

  • A sensor-weighted overlapping-sphere head model and exhaustive head model comparison for MEG.

    M X Huang;J C Mosher;R M Leahy

  • Digimouse: a 3D whole body mouse atlas from CT and cryosection data

    Belma Dogdas;David Stout;Arion F Chatziioannou;Richard M Leahy

  • A Study of Dipole Localization Accuracy for MEG and EEG using a Human Skull Phantom

    R.M. Leahy;J.C. Mosher;M.E. Spencer;M.X. Huang

  • Iterative reconstruction techniques in emission computed tomography.

    Jinyi Qi;Richard M Leahy

  • Source localization using recursively applied and projected (RAP) MUSIC

    J.C. Mosher;R.M. Leahy

  • Recursive MUSIC: A framework for EEG and MEG source localization

    J.C. Mosher;R.M. Leahy

  • Resolution and noise properties of MAP reconstruction for fully 3-D PET

    Jinyi Qi;R.M. Leahy

  • A note on the phase locking value and its properties.

    Sergul Aydore;Dimitrios Pantazis;Richard M. Leahy

  • Surface-based labeling of cortical anatomy using a deformable atlas

    S. Sandor;R. Leahy

  • Mapping human brain function with MEG and EEG: methods and validation

    F. Darvas;D. Pantazis;E. Kucukaltun-Yildirim;R.M. Leahy

  • Fast gradient-based methods for Bayesian reconstruction of transmission and emission PET images

    E.U. Mumcuoglu;R. Leahy;S.R. Cherry;Zhenyu Zhou

  • Hyperspectral and multispectral bioluminescence optical tomography for small animal imaging

    Abhijit J Chaudhari;Felix Darvas;James R Bading;Rex A Moats

Frequent Co-Authors

John C. Mosher
John C. Mosher Cleveland Clinic
Quanzheng Li
Quanzheng Li Harvard University
Sylvain Baillet
Sylvain Baillet McGill University
Simon R. Cherry
Simon R. Cherry University of California, Davis
Justin P. Haldar
Justin P. Haldar University of Southern California
Jinyi Qi
Jinyi Qi University of California, Davis
Thomas E. Nichols
Thomas E. Nichols University of Oxford
Karim Jerbi
Karim Jerbi University of Montreal
Paul M. Thompson
Paul M. Thompson University of Southern California
Hanna Damasio
Hanna Damasio University of Southern California

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