Mark A. Anastasio

Mark A. Anastasio

University of Illinois at Urbana-Champaign

H-index: 47

North America-United States

About Mark A. Anastasio

Mark A. Anastasio, With an exceptional h-index of 47 and a recent h-index of 34 (since 2020), a distinguished researcher at University of Illinois at Urbana-Champaign, specializes in the field of Image reconstruction, imaging science, machine learning for imaging, photoacoustic tomography.

His recent articles reflect a diverse array of research interests and contributions to the field:

Investigation of a learned image reconstruction method for three-dimensional quantitative photoacoustic tomography of the breast

Bayesian Cramér-Rao bound optimization of the illumination pattern in quantitative photoacoustic computed tomography

ProxNF: Neural Field Proximal Training for High-Resolution 4D Dynamic Image Reconstruction

High-Dimensional MR Reconstruction Integrating Subspace and Adaptive Generative Models

High-throughput photoacoustic tomography by integrated robotics and automation

Deep-learning-based image super-resolution of an end-expandable optical fiber probe for application in esophageal cancer diagnostics

EVATOM: an optical, label-free, machine learning assisted embryo health assessment tool

Spatiotemporal image reconstruction to enable high-frame-rate dynamic photoacoustic tomography with rotating-gantry volumetric imagers

Mark A. Anastasio Information

University

Position

___

Citations(all)

9265

Citations(since 2020)

4319

Cited By

6649

hIndex(all)

47

hIndex(since 2020)

34

i10Index(all)

164

i10Index(since 2020)

103

Email

University Profile Page

University of Illinois at Urbana-Champaign

Google Scholar

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Mark A. Anastasio Skills & Research Interests

Image reconstruction

imaging science

machine learning for imaging

photoacoustic tomography

Top articles of Mark A. Anastasio

Title

Journal

Author(s)

Publication Date

Investigation of a learned image reconstruction method for three-dimensional quantitative photoacoustic tomography of the breast

Refik Mert Cam

Seonyeong Park

Umberto Villa

Mark A Anastasio

2024/3/12

Bayesian Cramér-Rao bound optimization of the illumination pattern in quantitative photoacoustic computed tomography

Evan D Scope Crafts

Mark A Anastasio

Umberto Villa

2024/4/1

ProxNF: Neural Field Proximal Training for High-Resolution 4D Dynamic Image Reconstruction

arXiv preprint arXiv:2403.03860

Luke Lozenski

Refik Mert Cam

Mark A Anastasio

Umberto Villa

2024/3/6

High-Dimensional MR Reconstruction Integrating Subspace and Adaptive Generative Models

arXiv preprint arXiv:2306.08630

Ruiyang Zhao

Xi Peng

Varun A Kelkar

Mark A Anastasio

Fan Lam

2023/6/14

High-throughput photoacoustic tomography by integrated robotics and automation

Nathanael Marshall

Hans-Peter Brecht

Weylan Thompson

Dylan J Lawrence

Vanessa Marshall

...

2024/3/12

Deep-learning-based image super-resolution of an end-expandable optical fiber probe for application in esophageal cancer diagnostics

Journal of Biomedical Optics

Xiaohui Zhang

Mimi Tan

Mansour Nabil

Richa Shukla

Shaleen Vasavada

...

2024/4/1

EVATOM: an optical, label-free, machine learning assisted embryo health assessment tool

Communications biology

Neha Goswami

Nicola Winston

Wonho Choi

Nastasia ZE Lai

Rachel B Arcanjo

...

2024/3/5

Spatiotemporal image reconstruction to enable high-frame-rate dynamic photoacoustic tomography with rotating-gantry volumetric imagers

Journal of biomedical optics

Refik Mert Cam

Chao Wang

Weylan Thompson

Sergey A Ermilov

Mark A Anastasio

...

2024/1/15

A learning-based method for compensating 3D-2D model mismatch in ring-array ultrasound computed tomography

Fu Li

Umberto Villa

Mark A Anastasio

2024/4/1

Learning a semi-analytic reconstruction method for photoacoustic computed tomography with hemispherical measurement geometries

Panpan Chen

Seonyeong Park

Refik Mert Cam

Hsuan-Kai Huang

Umberto Villa

...

2024/3/12

Application of learned ideal observers for estimating task-based performance bounds for computed imaging systems

Journal of Medical Imaging

Kaiyan Li

Umberto Villa

Hua Li

Mark A Anastasio

2024/3/1

Learned full waveform inversion incorporating task information for ultrasound computed tomography

IEEE Transactions on Computational Imaging

Luke Lozenski

Hanchen Wang

Fu Li

Mark Anastasio

Brendt Wohlberg

...

2024/1/9

Context-aware deep learning enables high-efficacy localization of high concentration microbubbles for super-resolution ultrasound localization microscopy

Nature communications

YiRang Shin

Matthew R Lowerison

Yike Wang

Xi Chen

Qi You

...

2024/4/4

Exploring a method to evaluate image-conditioned deep generative models for their capacity to reproduce domain-relevant spatial context

Rucha Deshpande

Mark A Anastasio

Frank J Brooks

2024/3/30

A learning-based image reconstruction method for skull-induced aberration compensation in transcranial photoacoustic computed tomography

Hsuan-Kai Huang

Joseph Kuo

Seonyeong Park

Umberto Villa

Lihong V Wang

...

2024/3/12

An Efficient Implementation of the Spherical Radon Transform with Cylindrical Apertures

arXiv preprint arXiv:2402.15641

Luke Lozenski

Refik Mert Cam

Mark A Anastasio

Umberto Villa

2024/2/23

Systems and methods of optimizing functional images of a lesion region using guided diffuse optical tomography

2024/1/2

Transformer-based classifier with feature aggregation for cancer subtype classification on histopathological images

Chaojie Zhang

Zong Fan

Zhimin Wang

Lulu Sun

Yao Hao

...

2024/4/2

Optical label-free determination of mitochondrial dynamics using deep learning

Bulletin of the American Physical Society

Neha Goswami

YoungJae Lee

Gabriel Popescu

Mark Anastasio

2024/3/8

Evaluating the capacity of a diffusion generative model to reproduce spatial context relevant to diagnostic imaging

Rucha Deshpande

Muzaffer Ozbey

Hua Li

Mark A Anastasio

Frank J Brooks

2024/3/30

See List of Professors in Mark A. Anastasio University(University of Illinois at Urbana-Champaign)