Jack Virostko

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Assistant Professor

University of Texas at Austin

United States

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Recent Grants

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Deep Learning of Pancreas MRI to Predict Progression of T1D.

Open Date: 2021-07-28

Close Date: 2023-06-30

Articles (10)

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2021

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2021

Collaborators (13)

Daniel L. Rubin

Stanford University School of Medicine

UNITED STATES

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Robia Pautler

Professor

Baylor College of Medicine

UNITED STATES

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Melissa Hilmes

Assistant Professor

Vanderbilt University Medical Center

UNITED STATES

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Thomas E. Yankeelov

University of Texas at Austin

UNITED STATES

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Anum S. Kazerouni

UNITED STATES

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Hakmook Kang

Associate professor

Vanderbilt University Medical Center

UNITED STATES

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Yuxing Liao

Baylor College of Medicine

UNITED STATES

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Bing Zhang

Baylor College of Medicine

UNITED STATES

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Jonathan I. Tamir

University of Texas at Austin

UNITED STATES

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Caroline Chung

Vice President & Chief Data Officer

The University of Texas MD Anderson Cancer Center

UNITED STATES

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Michael Lewis

Baylor College of Medicine

UNITED STATES

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Chengyue Wu

UNITED STATES

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Jordan Wright

Vanderbilt University Medical Center

UNITED STATES

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Jack Virostko

Research Interests

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Recent Grants

Articles (10)

Longitudinal MRI Shows Progressive Decline in Pancreas Size and Altered Pancreas Shape in Type 1 Diabetes

Toward Practical Integration of Omic and Imaging Data in Co-Clinical Trials

Insulin Deficiency From Insulin Gene Mutation Leads to Smaller Pancreas

An untrained deep learning method for reconstructing dynamic MR images from accelerated model-based data.

Analysis of simplicial complexes to determine when to sample for quantitative DCE MRI of the breast.

Quantifying the Effects of Combination Trastuzumab and Radiation Therapy in Human Epidermal Growth Factor Receptor 2-Positive Breast Cancer

Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncology.

Quantifying Tumor Heterogeneity via MRI Habitats to Characterize Microenvironmental Alterations in HER2+ Breast Cancer

Bayesian calibration of a stochastic, multiscale agent-based model for predicting in vitro tumor growth

Quantitative multiparametric MRI predicts response to neoadjuvant therapy in the community setting

Collaborators (13)

Daniel L. Rubin

Robia Pautler

Melissa Hilmes

Thomas E. Yankeelov

Anum S. Kazerouni

Hakmook Kang

Yuxing Liao

Bing Zhang

Jonathan I. Tamir

Caroline Chung

Michael Lewis

Chengyue Wu

Jordan Wright

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