Christopher Hess

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University of California, San Francisco

United States

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Recent Grants

Grant: Close

IMPROVED MONITORING OF PREMANIFEST AND EARLY HUNTINGTONS USING 7T MULTIMODAL MRI

Open Date: 2017-07-01

Close Date: 2022-06-30

Grant: Close

Towards Baby Brain Connectome: a Study of Newborn Brain Networks

Open Date: 2013-01-04

Close Date: 2017-11-30

Articles (14)

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2025

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2022

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2022

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2022

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2022

Collaborators (7)

Andreas Rauschecker

Assistant Professor

University of California, San Francisco

UNITED STATES

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Daniel Barboriak

Duke University Medical Center

UNITED STATES

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Sugoto Mukherjee

University of Virginia Health System

UNITED STATES

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Evan Calabrese

Assistant Professor

Duke University

UNITED STATES

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Timo Krings

Wayne State University

UNITED STATES

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Pierre Nedelec

University of California, San Francisco

UNITED STATES

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Spyridon Bakas

Kingston University

UNITED KINGDOM

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Christopher Hess

Research Interests

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Recent Grants

Articles (14)

Introducing the Gene & Cell Therapy Study Group of the ASNR, ASFNR, and ASPNR

The University of California San Francisco Adult Longitudinal Post-Treatment Diffuse Glioma MRI Dataset

The University of California San Francisco Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset

Development of Gestational Age–Based Fetal Brain and Intracranial Volume Reference Norms Using Deep Learning

Ethical Considerations and Fairness in the Use of Artificial Intelligence for Neuroradiology

Implementation and prospective real-time evaluation of a generalized system for in-clinic deployment and validation of machine learning models in radiology

Monoclonal Antibodies: What the Diagnostic Neuroradiologist Needs to Know

Realistic Productivity in Academic Neuroradiology: A National Survey of Neuroradiology Division Chiefs

Ecodesign and Operational Strategies to Reduce the Carbon Footprint of MRI for Energy Cost Savings

MRI of the Brain: What Is Driving Innovation in 2023?

Interinstitutional Portability of a Deep Learning Brain MRI Lesion Segmentation Algorithm

Deep Learning to Predict Neonatal and Infant Brain Age from Myelination on Brain MRI Scans

The University of California San Francisco Preoperative Diffuse Glioma MRI Dataset

Longitudinal Assessment of Posttreatment Diffuse Glioma Tissue Volumes with Three-dimensional Convolutional Neural Networks

Collaborators (7)

Andreas Rauschecker

Daniel Barboriak

Sugoto Mukherjee

Evan Calabrese

Timo Krings

Pierre Nedelec

Spyridon Bakas

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