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Tomy Varghese

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Professor

University of Wisconsin-Madison

United States

Research Interests

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Professors in United States Professors in Medical Imaging Medical Imaging professors in United States

About

Professor Tomy Varghese is a faculty member at the University of Wisconsin Madison, United States. His research encompasses clinical risk factors for stroke, cardiovascular imaging techniques, and advanced deep learning applications in medical diagnostics. Recent publications highlight his work on carotid artery analysis, stroke prevention in Native American populations, and innovative ultrasound reconstruction methods.

Recent Grants

Grant: Close

Intra-salivary gland autotransplantation of marrow mesenchymal stromal cells for treatment of radiation induced xerostomia

Open Date: 2023-04-01

Close Date: 2026-03-31

Grant: Close

Ultrasonic and Photoacoustic Imaging System for Cancer & Cardiovascular Research

Open Date: 2015-03-06

Close Date: 2016-03-05

Grant: Close

Structural Stability of Carotid Plaque and Symptomatology

Open Date: 2010-03-15

Close Date: 2017-01-31

Grant: Close

Vulnerable Plaque Detection with Carotid Strain Imaging

Open Date: 2009-09-30

Close Date: 2012-08-31

Grant: Close

Uterine In-vivo Strain Imaging Using Saline Infusion

Open Date: 2009-07-01

Close Date: 2012-06-30

Articles (26)

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2020

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2020

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2020

Collaborators (2)

Stephanie Wilbrand

University of Wisconsin-Madison

UNITED STATES

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Yin Li

Associate Professor

University of Wisconsin-Madison

UNITED STATES

View details

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Tomy Varghese

Research Interests

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About

Recent Grants

Articles (26)

Lagrangian deformation tracking for strain imaging

Geometry aware neural radiance fields for freehand ultrasound reconstruction

Self-supervised ultrasound B-mode strain elastography using SMURF

Introducing ARONG, A 3D Reconstruction Method for Highly Deformed Histology.

Cerebrovascular Risk Factors for Body Mass Index, Diabetes, and Atherosclerosis in a Wisconsin Native American Population: A Cross‐Sectional Observation Study

Comparison of 2D and 3D carotid plaque analysis and longitudinal <i>in vivo</i> ultrasound registration using 3D histology.

Clinical Risk Factors for Stroke and Associations With Microembolic Signals on Transcranial Doppler

Comparative Analysis of Common Carotid Artery Intima-Media Thickness and Lagrangian Wall Strain in Relation to Cardiovascular Risk Factors Using Ultrasound

Varying pixel resolution significantly improves deep learning-based carotid plaque histology segmentation

Sensorless End-to-End Freehand Three-dimensional Ultrasound Reconstruction with Physics Guided Deep Learning

Methods in Stroke Prevention in the Wisconsin Native American Population.

Lumen segmentation using a Mask R-CNN in carotid arteries with stenotic atherosclerotic plaque.

In Vivo Adaptive Bayesian Regularized Lagrangian Carotid Strain Imaging for Murine Carotid Arteries and Its Associations With Histological Findings

Changes in carotid artery texture by ultrasound and elastin features in a murine model

In Vivo Longitudinal Monitoring of Cardiac Remodeling in Murine Ischemia Models With Adaptive Bayesian Regularized Cardiac Strain Imaging: Validation Against Histology

Murine cardiac fibrosis localization using adaptive Bayesian cardiac strain imaging in vivo

Subaperture Processing-Based Adaptive Beamforming for Photoacoustic Imaging

Spatiotemporal Coherence Weighting for In Vivo Cardiac Photoacoustic Image Beamformation

Bayesian Regularized Strain Imaging for Assessment of Murine Cardiac Function In vivo

Differential Imaging of Liver Tumors before and after Microwave Ablation with Electrode Displacement Elastography

Enhancement of in vivo cardiac photoacoustic signal specificity using spatiotemporal singular value decomposition

Improving Minimum Variance Beamforming with Sub-Aperture Processing for Photoacoustic Imaging

Spatiotemporal Bayesian Regularization for Cardiac Strain Imaging: Simulation and In Vivo Results

Carotid Plaque Strain Indices Were Correlated With Cognitive Performance in a Cohort With Advanced Atherosclerosis, and Traditional Doppler Measures Showed no Association

Deep Learning for Carotid Plaque Segmentation using a Dilated U-Net Architecture

Locally optimized correlation-guided Bayesian adaptive regularization for ultrasound strain imaging

Collaborators (2)

Stephanie Wilbrand

Yin Li

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Tomy Varghese

Research Interests

Make your next move.

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About

Recent Grants

Articles (26)

Lagrangian deformation tracking for strain imaging

Geometry aware neural radiance fields for freehand ultrasound reconstruction

Self-supervised ultrasound B-mode strain elastography using SMURF

Introducing ARONG, A 3D Reconstruction Method for Highly Deformed Histology.

Cerebrovascular Risk Factors for Body Mass Index, Diabetes, and Atherosclerosis in a Wisconsin Native American Population: A Cross‐Sectional Observation Study

Comparison of 2D and 3D carotid plaque analysis and longitudinal &lt;i&gt;in vivo&lt;/i&gt; ultrasound registration using 3D histology.

Clinical Risk Factors for Stroke and Associations With Microembolic Signals on Transcranial Doppler

Comparative Analysis of Common Carotid Artery Intima-Media Thickness and Lagrangian Wall Strain in Relation to Cardiovascular Risk Factors Using Ultrasound

Varying pixel resolution significantly improves deep learning-based carotid plaque histology segmentation

Sensorless End-to-End Freehand Three-dimensional Ultrasound Reconstruction with Physics Guided Deep Learning

Methods in Stroke Prevention in the Wisconsin Native American Population.

Lumen segmentation using a Mask R-CNN in carotid arteries with stenotic atherosclerotic plaque.

In Vivo Adaptive Bayesian Regularized Lagrangian Carotid Strain Imaging for Murine Carotid Arteries and Its Associations With Histological Findings

Changes in carotid artery texture by ultrasound and elastin features in a murine model

In Vivo Longitudinal Monitoring of Cardiac Remodeling in Murine Ischemia Models With Adaptive Bayesian Regularized Cardiac Strain Imaging: Validation Against Histology

Murine cardiac fibrosis localization using adaptive Bayesian cardiac strain imaging in vivo

Subaperture Processing-Based Adaptive Beamforming for Photoacoustic Imaging

Spatiotemporal Coherence Weighting for In Vivo Cardiac Photoacoustic Image Beamformation

Bayesian Regularized Strain Imaging for Assessment of Murine Cardiac Function In vivo

Differential Imaging of Liver Tumors before and after Microwave Ablation with Electrode Displacement Elastography

Enhancement of in vivo cardiac photoacoustic signal specificity using spatiotemporal singular value decomposition

Improving Minimum Variance Beamforming with Sub-Aperture Processing for Photoacoustic Imaging

Spatiotemporal Bayesian Regularization for Cardiac Strain Imaging: Simulation and In Vivo Results

Carotid Plaque Strain Indices Were Correlated With Cognitive Performance in a Cohort With Advanced Atherosclerosis, and Traditional Doppler Measures Showed no Association

Deep Learning for Carotid Plaque Segmentation using a Dilated U-Net Architecture

Locally optimized correlation-guided Bayesian adaptive regularization for ultrasound strain imaging

Collaborators (2)

Stephanie Wilbrand

Yin Li

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Comparison of 2D and 3D carotid plaque analysis and longitudinal <i>in vivo</i> ultrasound registration using 3D histology.