2026 Mark A. Anastasio: 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	47	6550	6361	2896	2789	403	8030

Research.com Recognitions

2018 - SPIE Fellow
2016 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Mark A. Anastasio is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research spans multiple intersecting fields including Engineering, Medicine, and Computer Science, with a notable focus on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, and Computer Vision and Pattern Recognition. Their work also intersects with Artificial Intelligence and Biophysics.

The scientist's research topics encompass a broad range of imaging and analysis techniques. Key topics include Photoacoustic and Ultrasonic Imaging, Medical Imaging Techniques and Applications, Optical Imaging and Spectroscopy Techniques, Generative Adversarial Networks and Image Synthesis, Ultrasound Imaging and Elastography, Advanced X-ray and CT Imaging, and Cell Image Analysis Techniques.

Among their recent publications are:

High-resolution transcriptional and morphogenetic profiling of cells from micropatterned human ESC gastruloid cultures (2020, eLife)
Live-dead assay on unlabeled cells using phase imaging with computational specificity (2022, Nature Communications)
Deeply-supervised density regression for automatic cell counting in microscopy images (2020, Medical Image Analysis)
Assessing the Impact of Deep Neural Network-Based Image Denoising on Binary Signal Detection Tasks (2021, IEEE Transactions on Medical Imaging)
Context-aware deep learning enables high-efficacy localization of high concentration microbubbles for super-resolution ultrasound localization microscopy (2024, Nature Communications)

The venues where they have frequently published include arXiv (Cornell University), Harvard Dataverse, IEEE Transactions on Medical Imaging, bioRxiv (Cold Spring Harbor Laboratory), and the Journal of Medical Imaging.

Mark A. Anastasio has collaborated extensively with several co-authors, including Umberto Villa, Frank J. Brooks, Hua Li, Weimin Zhou, and Seonyeong Park.

The scientist has been recognized with several awards, including the SPIE Fellow in 2018 and Fellowship at the Indian National Academy of Engineering (INAE) in 2016.

Best Publications

Imaging challenges in biomaterials and tissue engineering.

Alyssa A. Appel;Mark A. Anastasio;Jeffery C. Larson;Jeffery C. Larson;Eric M. Brey;Eric M. Brey

317
Citations
Multiple-image radiography

Miles N Wernick;Oliver Wirjadi;Oliver Wirjadi;Dean Chapman;Zhong Zhong

301
Citations
Full-Wave Iterative Image Reconstruction in Photoacoustic Tomography With Acoustically Inhomogeneous Media

Chao Huang;Kun Wang;Liming Nie;L. V. Wang

295
Citations
Investigation of iterative image reconstruction in three-dimensional optoacoustic tomography

Kun Wang;Richard Su;Alexander A Oraevsky;Mark A Anastasio

220
Citations
Whole-body ring-shaped confocal photoacoustic computed tomography of small animals in vivo

Jun Xia;Muhammad R. Chatni;Konstantin I. Maslov;Zijian Guo

214
Citations
An Imaging Model Incorporating Ultrasonic Transducer Properties for Three-Dimensional Optoacoustic Tomography

Kun Wang;Sergey A Ermilov;Richard Su;Hans-Peter Brecht

174
Citations
Waveform inversion with source encoding for breast sound speed reconstruction in ultrasound computed tomography

Kun Wang;Thomas Matthews;Fatima Anis;Cuiping Li

170
Citations
Half-time image reconstruction in thermoacoustic tomography

M.A. Anastasio;Jin Zhang;Xiaochuan Pan;Yu Zou

169
Citations
Application of inverse source concepts to photoacoustic tomography

Mark A Anastasio;Jin Zhang;Dimple Modgil;Patrick J La Rivière

143
Citations
Multiobjective genetic optimization of diagnostic classifiers with implications for generating receiver operating characteristic curves

M.A. Kupinski;M.A. Anastasio

131
Citations
Aberration correction for transcranial photoacoustic tomography of primates employing adjunct image data

Chao Huang;Liming Nie;Robert W. Schoonover;Zijian Guo

122
Citations
Enhancement of photoacoustic tomography by ultrasonic computed tomography based on optical excitation of elements of a full-ring transducer array.

Jun Xia;Chao Huang;Konstantin Maslov;Mark A. Anastasio

120
Citations
Generation of anatomically realistic numerical phantoms for photoacoustic and ultrasonic breast imaging.

Yang Lou;Weimin Zhou;Thomas P. Matthews;Catherine M. Appleton

117
Citations
A survey of computational frameworks for solving the acoustic inverse problem in three-dimensional photoacoustic computed tomography.

Joemini Poudel;Yang Lou;Mark A Anastasio

114
Citations
A physical model of multiple-image radiography

Gocha Khelashvili;Jovan G Brankov;Dean Chapman;Mark A Anastasio

103
Citations
Statistical Reconstruction of Material Decomposed Data in Spectral CT

C. O. Schirra;E. Roessl;T. Koehler;B. Brendel

102
Citations
Image reconstruction in optoacoustic tomography for dispersive acoustic media.

Patrick J. La Rivière;Jin Zhang;Mark A. Anastasio

95
Citations
Photoacoustic and thermoacoustic tomography: Image formation principles

Kun Wang;Mark A. Anastasio

92
Citations
Photoacoustic computed tomography correcting for heterogeneity and attenuation.

Chao Huang;Liming Nie;Robert W. Schoonover;Lihong V. Wang

84
Citations
k-space undersampling in PROPELLER imaging.

Konstantinos Arfanakis;Konstantinos Arfanakis;Ashish A. Tamhane;James G. Pipe;Mark A. Anastasio

84
Citations

Frequent Co-Authors

Lihong V. Wang California Institute of Technology

Xiaochuan Pan University of Chicago

Eric M. Brey The University of Texas at San Antonio

Konstantin Maslov California Institute of Technology

Miles N. Wernick Illinois Institute of Technology

Emil Y. Sidky University of Chicago

Lilianna Solnica-Krezel Washington University in St. Louis

Su Ruan University of Rouen

Yongyi Yang Illinois Institute of Technology

Konstantinos Arfanakis Illinois Institute of Technology

External Links

Personal website of Mark A. Anastasio Google Scholar page

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