Richard M. Leahy

Richard M. Leahy

University of Southern California

H-index: 79

North America-United States

About Richard M. Leahy

Richard M. Leahy, With an exceptional h-index of 79 and a recent h-index of 41 (since 2020), a distinguished researcher at University of Southern California, specializes in the field of medical imaging, brain mapping, signal processing, image processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Using Diffusion Models for inpainting, Segmentation, and Registration of Lesioned Brains

Graph Learning for Cortical Parcellation from Tensor Decompositions of Resting-State fMRI

Effective connectivity relates seizure outcome to electrode placement in responsive neurostimulation

Beta quantile regression for robust estimation of uncertainty in the presence of outliers

Prediction of Post Traumatic Epilepsy using MRI-based Imaging Markers

Is High‐Frequency Activity at Seizure Onset Inhibitory? A Stereoelectroencephalographic Study of Motor Cortex Seizures

Knowledge-guided EEG Representation Learning

Identification of overlapping and interacting networks reveals intrinsic spatiotemporal organization of the human brain

Richard M. Leahy Information

University

Position

Leonard Silverman Chair in Electrical and Computer Engineering

Citations(all)

34173

Citations(since 2020)

8962

Cited By

28709

hIndex(all)

79

hIndex(since 2020)

41

i10Index(all)

252

i10Index(since 2020)

107

Email

University Profile Page

University of Southern California

Google Scholar

View Google Scholar Profile

Richard M. Leahy Skills & Research Interests

medical imaging

brain mapping

signal processing

image processing

Top articles of Richard M. Leahy

Title

Journal

Author(s)

Publication Date

Using Diffusion Models for inpainting, Segmentation, and Registration of Lesioned Brains

Haleh Akrami

Omar Zamzam

Anand Joshi

Paul Thompson

Richard Leahy

2024/2/13

Graph Learning for Cortical Parcellation from Tensor Decompositions of Resting-State fMRI

bioRxiv

Yijun Liu

Jian Li

Jessica L Wisnowski

Richard M Leahy

2024/1/6

Effective connectivity relates seizure outcome to electrode placement in responsive neurostimulation

Brain Communications

Katsuya Kobayashi

Kenneth N Taylor

Hossein Shahabi

Balu Krishnan

Anand Joshi

...

2024

Beta quantile regression for robust estimation of uncertainty in the presence of outliers

Haleh Akrami

Omar Zamzam

Anand Joshi

Sergul Aydore

Richard Leahy

2024/4/14

Prediction of Post Traumatic Epilepsy using MRI-based Imaging Markers

bioRxiv

Haleh Akrami

Wenhui Cui

Paul E Kim

Christianne N Heck

Andrei Irimia

...

2024

Is High‐Frequency Activity at Seizure Onset Inhibitory? A Stereoelectroencephalographic Study of Motor Cortex Seizures

Annals of Neurology

Hussam Shaker

Jian Li

Masako Kobayashi

Olesya Grinenko

Juan Bulacio

...

2024/3/13

Knowledge-guided EEG Representation Learning

arXiv preprint arXiv:2403.03222

Aditya Kommineni

Kleanthis Avramidis

Richard Leahy

Shrikanth Narayanan

2024/2/15

Identification of overlapping and interacting networks reveals intrinsic spatiotemporal organization of the human brain

Neuroimage

Jian Li

Yijun Liu

Jessica L Wisnowski

Richard M Leahy

2023/4/15

Neuro-gpt: Developing a foundation model for eeg

arXiv preprint arXiv:2311.03764

Wenhui Cui

Woojae Jeong

Philipp Thölke

Takfarinas Medani

Karim Jerbi

...

2023/11/7

Tuning Minimum-Norm regularization parameters for optimal MEG connectivity estimation

NeuroImage

Elisabetta Vallarino

Ana Sofia Hincapié

Karim Jerbi

Richard M Leahy

Annalisa Pascarella

...

2023/11/1

Multilayer brain networks can identify the epileptogenic zone and seizure dynamics

Elife

Hossein Shahabi

Dileep R Nair

Richard M Leahy

2023/3/17

Medical Image Computing and Computer Assisted Intervention–MICCAI 2023 Workshops: MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI …

Anne L Martel

Purang Abolmaesumi

Danail Stoyanov

Diana Mateus

Maria A Zuluaga

...

2020/10/2

BrainSuite BIDS App: containerized workflows for MRI analysis

bioRxiv

Yeun Kim

Anand A Joshi

Soyoung Choi

Shantanu H Joshi

Chitresh Bhushan

...

2023/3/15

Learning A Disentangling Representation For PU Learning

arXiv preprint arXiv:2310.03833

Omar Zamzam

Haleh Akrami

Mahdi Soltanolkotabi

Richard Leahy

2023/10/5

Brainstorm-DUNEuro: An integrated and user-friendly Finite Element Method for modeling electromagnetic brain activity

Neuroimage

Takfarinas Medani

Juan Garcia-Prieto

Francois Tadel

Marios Antonakakis

Tim Erdbrügger

...

2023/2/15

Learning From Positive and Unlabeled Data Using Observer-GAN

Omar Zamzam

Haleh Akrami

Richard Leahy

2023/6/4

Age differences in the functional architecture of the human brain

Cerebral Cortex

Roni Setton

Laetitia Mwilambwe-Tshilobo

Manesh Girn

Amber W Lockrow

Giulia Baracchini

...

2023/1/1

Meta transfer of self-supervised knowledge: Foundation model in action for post-traumatic epilepsy prediction

arXiv preprint arXiv:2312.14204

Wenhui Cui

Haleh Akrami

Ganning Zhao

Anand A Joshi

Richard M Leahy

2023/12/21

A robust variational autoencoder using beta divergence

Knowledge-based systems

Haleh Akrami

Anand A Joshi

Jian Li

Sergül Aydöre

Richard M Leahy

2022/2/28

Chronic anemia: The effects on the connectivity of white matter

Frontiers in Neurology

Clio González-Zacarías

Soyoung Choi

Chau Vu

Botian Xu

Jian Shen

...

2022/7/26

See List of Professors in Richard M. Leahy University(University of Southern California)

Co-Authors

H-index: 106
Thomas E. Nichols

Thomas E. Nichols

University of Oxford

H-index: 95
Simon Cherry

Simon Cherry

University of California, Davis

H-index: 55
Jinyi Qi

Jinyi Qi

University of California, Davis

H-index: 51
Arion Chatziioannou

Arion Chatziioannou

University of California, Los Angeles

H-index: 42
David Shattuck

David Shattuck

University of California, Los Angeles

H-index: 41
Karim Jerbi, PhD

Karim Jerbi, PhD

Université de Montréal

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