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Mathews Jacob

Magnetic Resonance Imaging (MRI) Image Reconstruction Computational Biomedical Imaging Quantitative MRI Analysis Machine Learning For Biomedical Imaging
University of Virginia Department of Computer Science

About

Mathews Jacob is a professor in the Department of Electrical and Computer Engineering and is heading the Computational Biomedical Imaging Group (CBIG). His research interests include image reconstruction, image analysis, and quantification in the context of magnetic resonance imaging. He obtained his B.Tech in Electronics and Communication Engineering from National Institute of Technology, Calicut, Kerala, and his M.E in signal processing from the Indian Institute of Science, Bangalore. He received his Ph.D. degree from the Biomedical Imaging Group at the Swiss Federal Institute of Technology in 2003. He was a Beckman postdoctoral fellow at the University of Illinois at Urbana Champaign. He is currently the associate editor of the IEEE Transactions on Medical Imaging and has served as the associate editor of IEEE Transactions on Computational Imaging from 2016-20. He was the senior author on two best paper awards (2015 & 2021) and one best machine learning paper award (2019) from IEEE ISBI. Dr. Jacob is the recipient of the CAREER award from the National Science Foundation in 2009, the Research Scholar Award from American Cancer Society in 2011, the Faculty Excellence Award for Research from University of Iowa in 2021, and the Eminent Researcher award from the Virginia Innovation Partnership Corporation. He served as the general chair of IEEE International Symposium on Biomedical Imaging, 2020 and distinguished lecturer of the IEEE Signal Processing Society, 2025. He was elected as a Fellow of the IEEE (2022) for contributions to computational biomedical imaging.

Research Performance Summary

316
Total Papers
11104
Total Citations
44
H-Index
1999-2026
Active Research Span

First Recorded Paper

A Project Report

Year: 1999

Citations: 0

Venue: Indian Institute of Science BANGALORE

Latest Recorded Paper

Annealed Langevin Posterior Sampling (ALPS): A Rapid Algorithm for Image Restoration with Multiscale Energy Models

Year: 2026

Citations: 0

Venue: arXiv preprint arXiv:2601.02594

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2026
2
2025
13
2024
13
2023
13
2022
14
2021
20
2020
21
2019
22
2018
19
2017
21
2016
19

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 119
Journal 85
Book 3

Top Coauthors

Jacob Lingala Mani

Research Impact by Period

2025-2026

Period Stats
Papers 15
Citations 5
Avg. Citations / Paper 0.3
H-Index 2

2020-2024

Period Stats
Papers 81
Citations 1207
Avg. Citations / Paper 14.9
H-Index 18

2015-2019

Period Stats
Papers 105
Citations 3686
Avg. Citations / Paper 35.1
H-Index 25

2010-2014

Period Stats
Papers 64
Citations 2598
Avg. Citations / Paper 40.6
H-Index 20

2005-2009

Period Stats
Papers 32
Citations 637
Avg. Citations / Paper 19.9
H-Index 13

2000-2004

Period Stats
Papers 18
Citations 2971
Avg. Citations / Paper 165.1
H-Index 10

1995-1999

Period Stats
Papers 1
Citations 0
Avg. Citations / Paper 0
H-Index 0

Contact and Professional Links

Contact Information

mjacob@virginia.edu

Detected Research Keywords

Accelerated Dynamic Mri Structured Rank Matrix Degree Total Variation Blind Compressed Sensing Higher Degree Total Myocardial Perfusion Mri Rank Matrix Completion Globally Optimal Surface Optimal Surface Estimation Fat Water Decomposition