Mohammad Shifat-E-Rabbi

Mohammad Shifat-E-Rabbi

University of Virginia

H-index: 7

North America-United States

About Mohammad Shifat-E-Rabbi

Mohammad Shifat-E-Rabbi, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at University of Virginia, specializes in the field of Applied Mathematics, Machine Learning, Data Science, Computational Biology, Pattern Recognition and Analysis.

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

Linear optimal transport subspaces for point set classification

End-to-end signal classification in signed cumulative distribution transform space

Transport-based morphometry of nuclear structures of digital pathology images in cancers

The radon signed cumulative distribution transform and its applications in classification of signed images

Invariance encoding in sliced-Wasserstein space for image classification with limited training data

Local Sliced-Wasserstein Feature Sets for Illumination-invariant Face Recognition

Real-time intelligent classification of COVID-19 and thrombosis via massive image-based analysis of platelet aggregates

Nearest Subspace Search in The Signed Cumulative Distribution Transform Space for 1D Signal Classification

Mohammad Shifat-E-Rabbi Information

University

Position

Graduate Research Assistant

Citations(all)

199

Citations(since 2020)

194

Cited By

46

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

6

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Mohammad Shifat-E-Rabbi Skills & Research Interests

Applied Mathematics

Machine Learning

Data Science

Computational Biology

Pattern Recognition and Analysis

Top articles of Mohammad Shifat-E-Rabbi

Linear optimal transport subspaces for point set classification

2024/3/22

End-to-end signal classification in signed cumulative distribution transform space

IEEE Transactions on Pattern Analysis and Machine Intelligence

2024/3/1

Transport-based morphometry of nuclear structures of digital pathology images in cancers

ArXiv

2023/2/2

The radon signed cumulative distribution transform and its applications in classification of signed images

arXiv preprint arXiv:2307.15339

2023/7/28

Invariance encoding in sliced-Wasserstein space for image classification with limited training data

Pattern Recognition

2023/5/1

Local Sliced-Wasserstein Feature Sets for Illumination-invariant Face Recognition

arXiv preprint arXiv:2202.10642

2022/2/22

Real-time intelligent classification of COVID-19 and thrombosis via massive image-based analysis of platelet aggregates

Cytometry part A

2022

Maik Herbig
Maik Herbig

H-Index: 15

Yuqi Zhou
Yuqi Zhou

H-Index: 3

Mohammad Shifat-E-Rabbi
Mohammad Shifat-E-Rabbi

H-Index: 5

Nearest Subspace Search in The Signed Cumulative Distribution Transform Space for 1D Signal Classification

2022/5

Understanding microvascular thrombosis in COVID-19 via massive single-cell imaging of circulating platelets (preprint)

medRxiv

2021/5/3

Massive image-based single-cell profiling reveals high levels of circulating platelet aggregates in patients with COVID-19

Nature communications

2021/12/9

Radon cumulative distribution transform subspace modeling for image classification

Journal of mathematical imaging and vision

2021/11

REPLY TO ROEMER AND GUERMAZI

Proceedings of the National Academy of Sciences of the United States of America

2021/3/16

Reply to Roemer and Guermazi: Early biochemical changes on MRI can predict risk of symptomatic progression

Proceedings of the National Academy of Sciences

2021/3/16

Enabling early detection of osteoarthritis from presymptomatic cartilage texture maps via transport-based learning

Proceedings of the National Academy of Sciences

2020/10/6

Mohammad Shifat-E-Rabbi
Mohammad Shifat-E-Rabbi

H-Index: 5

Cell image classification: a comparative overview

2020/4

See List of Professors in Mohammad Shifat-E-Rabbi University(University of Virginia)

Co-Authors

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