2026 Anthony Yezzi: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	59	3403	3307	1650	1591	279	15318

Overview

Anthony Yezzi is affiliated with the Georgia Institute of Technology in the United States. Their research spans multiple fields with a focus on computer science, medicine, and engineering. The main areas of study include computer vision and pattern recognition, radiology, nuclear medicine and imaging, artificial intelligence, biomedical engineering, and pulmonary and respiratory medicine.

Their work covers a variety of topics predominantly related to medical imaging techniques and applications, with a particular emphasis on:

Advanced X-ray and CT Imaging
Medical Imaging Techniques and Applications
Medical Image Segmentation Techniques
Radiomics and Machine Learning in Medical Imaging
Advanced Neural Network Applications
Advanced Vision and Imaging
Optical measurement and interference techniques

Frequent publication venues for Anthony Yezzi include:

arXiv (Cornell University)
Applied Sciences
Journal of Imaging
Life
Diagnostics

Their collaborative work is often conducted with a core group of co-authors who have contributed to a significant number of publications. These frequent collaborators include:

Albert Comelli
Navdeep Dahiya
Alessandro Stefano
Viviana Benfante
Samuel Bignardi

Selected recent publications from Anthony Yezzi highlight the focus on deep learning and medical image segmentation. These include:

"Deep Learning Whole-Gland and Zonal Prostate Segmentation on a Public MRI Dataset" (2021), Journal of Magnetic Resonance Imaging
"Deep Learning-Based Methods for Prostate Segmentation in Magnetic Resonance Imaging" (2021), Applied Sciences
"Deep learning approach for the segmentation of aneurysmal ascending aorta" (2020), Biomedical Engineering Letters
"Performance of Radiomics Features in the Quantification of Idiopathic Pulmonary Fibrosis from HRCT" (2020), Diagnostics
"Lung Segmentation on High-Resolution Computerized Tomography Images Using Deep Learning: A Preliminary Step for Radiomics Studies" (2020), Journal of Imaging

Best Publications

Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification

A. Tsai;A. Yezzi;A.S. Willsky

1218
Citations
A shape-based approach to the segmentation of medical imagery using level sets

A. Tsai;A. Yezzi;W. Wells;C. Tempany

1141
Citations
Gradient flows and geometric active contour models

S. Kichenassamy;A. Kumar;P. Olver;A. Tannenbaum

980
Citations
A geometric snake model for segmentation of medical imagery

A. Yezzi;S. Kichenassamy;A. Kumar;P. Olver

933
Citations
Conformal curvature flows: From phase transitions to active vision

Satyanad Kichenassamy;Arun Kumar;Peter Olver;Allen Tannenbaum

604
Citations
A nonparametric statistical method for image segmentation using information theory and curve evolution

Junmo Kim;J.W. Fisher;A. Yezzi;M. Cetin

429
Citations
A statistical approach to snakes for bimodal and trimodal imagery

A. Yezzi;A. Tsai;A. Willsky

428
Citations
On the relationship between parametric and geometric active contours

Chenyang Xu;A. Yezzi;J.L. Prince

421
Citations
A Fully Global Approach to Image Segmentation via Coupled Curve Evolution Equations

Anthony Yezzi;Andy Tsai;Alan Willsky

398
Citations
Integral Invariants for Shape Matching

S. Manay;D. Cremers;Byung-Woo Hong;A.J. Yezzi

338
Citations
Tracking Deforming Objects Using Particle Filtering for Geometric Active Contours

Y. Rathi;N. Vaswani;A. Tannenbaum;A. Yezzi

280
Citations
Vessels as 4-D Curves: Global Minimal 4-D Paths to Extract 3-D Tubular Surfaces and Centerlines

Hua Li;A. Yezzi

276
Citations
Model-based curve evolution technique for image segmentation

A. Tsai;A. Yezzi;W. Wells;C. Tempany

242
Citations
Stereoscopic Segmentation

Anthony Yezzi;Stefano Soatto

242
Citations
Sobolev Active Contours

Ganesh Sundaramoorthi;Anthony Yezzi;Andrea C. Mennucci

237
Citations
Vessel Segmentation Using a Shape Driven Flow

Delphine Nain;Anthony J. Yezzi;Greg Turk

235
Citations
An Eulerian PDE approach for computing tissue thickness

A.J. Yezzi;J.L. Prince

221
Citations
A variational framework for joint segmentation and registration

A. Yezzi;L. Zollei;T. Kapur

207
Citations
Multi-View Stereo Reconstruction of Dense Shape and Complex Appearance

Hailin Jin;Stefano Soatto;Anthony J. Yezzi

197
Citations
A variational framework for integrating segmentation and registration through active contours.

Anthony J. Yezzi;Lilla Zöllei;Tina Kapur

178
Citations

Frequent Co-Authors

Allen Tannenbaum Stony Brook University

Stefano Soatto University of California, Los Angeles

Alan S. Willsky MIT

Hamid Krim North Carolina State University

Hailin Jin Adobe Systems (United States)

Jerry L. Prince Johns Hopkins University

Yogesh Rathi Brigham and Women's Hospital

Laurent D. Cohen Paris Dauphine University

Daniel Cremers Technical University of Munich

Namrata Vaswani Iowa State University

External Links

Personal website of Anthony Yezzi Google Scholar page

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