1763_meng-ye.jpg

Meng Ye

Artificial Intelligence For Biomedicine Cardiac Imaging Computational Cardiology Medical Image Analysis Deep Learning For Heart Modeling
The University of Texas at Arlington (UTA) Computer Science and Engineering

About

Dr. Meng Ye is an Assistant Professor in the Department of Computer Science and Engineering at The University of Texas at Arlington. He obtained his Ph.D. in Computer Science at Rutgers University. Dr. Ye's research mainly focuses on novel AI methods of computing, learning, imaging and modeling for biomedicine, with a special interest in the human heart. Dr. Ye has published his work at top-tier venues such as CVPR, ICCV, ECCV, MICCAI, IPMI, TPAMI and Radiology.

Research Performance Summary

24
Total Papers
655
Total Citations
13
H-Index
2020-2026
Active Research Span

First Recorded Paper

Predicting rectal cancer response to neoadjuvant chemoradiotherapy using deep learning of diffusion kurtosis MRI

Year: 2020

Citations: 117

Venue: Radiology 296 (1)

Latest Recorded Paper

Reconstruction of 3D Models of the Mandible from 2D Lateral Cephalometric Radiographs by Deep Learning

Year: 2026

Citations: 0

Venue: N/A

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2026
1
2025
5
2024
4
2023
4
2022
1
2021
3
2020
6

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 15
Journal 3
Book 0

Top Coauthors

Metaxas Axel Kanski

Research Impact by Period

2025-2026

Period Stats
Papers 6
Citations 6
Avg. Citations / Paper 1
H-Index 1

2020-2024

Period Stats
Papers 18
Citations 649
Avg. Citations / Paper 36.1
H-Index 13

Contact and Professional Links

Contact Information

meng.ye@uta.edu

Detected Research Keywords

Focal Liver Lesions Motion Tracking Cardiac Magnetic Resonance Imaging Neural Deformable Models Deformable Models 3d Cardiac Cine Mri Cardiac Mri Segmentation