JAMES HOLMES

Research Assistant Professor

Iowa State University

United States

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James Holmes is a Research Assistant Professor at the University of Iowa, USA. His research focuses on advanced imaging techniques, including 3D radial MPnRAGE, Dynamic Contrast-Enhanced (DCE) MRI, and the application of deep learning in breast MRI. He has contributed to the development of methods for predicting breast cancer therapy responses and improving high-quality imaging through innovative algorithms and simulation techniques.

Articles (13)

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2025

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2024

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2024

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2023

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2023

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2022

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2021

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2021

Collaborators (5)

Bryan P. Bednarz

UNITED STATES

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Kevin M. Johnson

UNITED STATES

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Su Jin Kim Hsieh

Clinical Assistant professor

Iowa State University

UNITED STATES

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Thomas Foo

Chief Scientist

UNITED STATES

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Leah Henze Bancroft

Assistant Professor

University of Wisconsin-Madison

UNITED STATES

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JAMES HOLMES

Research Interests

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Articles (13)

Accelerating 3D radial MPnRAGE using a self‐supervised deep factor model

Dynamic Contrast-Enhanced (DCE) MRI

Initial experience in implementing quantitative DCE-MRI to predict breast cancer therapy response in a multi-center and multi-vendor platform setting

Automated Placement of Scan and Pre-Scan Volumes for Breast MRI Using a Convolutional Neural Network

A hybrid deformable registration method to generate motion-compensated 3D virtual MRI for fusion with interventional real-time 3D ultrasound

Evaluation of a Deep Learning Reconstruction for High-Quality T2-Weighted Breast Magnetic Resonance Imaging

Perfusion MRI Techniques: Beyond DSC

The Influence of Data-Driven Compressed Sensing Reconstruction on Quantitative Pharmacokinetic Analysis in Breast DCE MRI

An Anthropomorphic Digital Reference Object (DRO) for Simulation and Analysis of Breast DCE MRI Techniques

Spatial dependency and the role of local susceptibility for velocity selective arterial spin labeling (VS‐ASL) relative tagging efficiency using accelerated 3D radial sampling with a BIR‐8 preparation

Comparison of data-driven and general temporal constraints on compressed sensing for breast DCE MRI

Feasibility and optimization of ultra-short echo time MRI for improved imaging of IVC-filters at 3.0 T

First-in-human imaging using a MR-compatible e4D ultrasound probe for motion management of radiotherapy

Collaborators (5)

Bryan P. Bednarz

Kevin M. Johnson

Su Jin Kim Hsieh

Thomas Foo

Leah Henze Bancroft

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