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Lei Zhang

Medical Image Analysis Deep Learning For Biomedical Imaging Vision Transformer Models Pattern Recognition In Health Imaging

About

Lei Zhang is an Assistant Professor in the Department of Computer and Information Sciences at Towson University. He earned his Ph.D. in Computer Applied Technology from the Harbin Institute of Technology in 2013, after completing his M.E. in Software Engineering there in 2008 and his B.E. in Computer Science and Technology from Harbin University of Commerce in 2003. His research expertise lies in medical image analysis, machine learning, and computer vision, and he has contributed to numerous peer-reviewed journal and conference publications focused on deep learning methods for biomedical imaging, vision transformer models, and related topics. Zhang’s work applies advanced computational techniques to analyze complex visual and medical data, bridging foundational machine learning methods with applications in health imaging and pattern recognition.

Research Performance Summary

74
Total Papers
5473
Total Citations
18
H-Index
2007-2025
Active Research Span

First Recorded Paper

浅谈软件度量

Year: 2007

Citations: 0

Venue: 林区教学

Latest Recorded Paper

Transformer-based arterial spin labeling perfusion MRI denoising

Year: 2025

Citations: 2

Venue: The Visual Computer

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2025
3
2024
6
2023
5
2022
2
2021
2
2020
6
2019
11
2018
7
2017
10
2016
5
2015
2

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 15
Journal 17
Book 0

Top Coauthors

Zhang Wang Yang

Research Impact by Period

2025-2026

Period Stats
Papers 3
Citations 10
Avg. Citations / Paper 3.3
H-Index 2

2020-2024

Period Stats
Papers 21
Citations 486
Avg. Citations / Paper 23.1
H-Index 8

2015-2019

Period Stats
Papers 35
Citations 4854
Avg. Citations / Paper 138.7
H-Index 14

2010-2014

Period Stats
Papers 14
Citations 123
Avg. Citations / Paper 8.8
H-Index 8

2005-2009

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

Contact and Professional Links

Contact Information

leizhang@towson.edu
4107042507

Detected Research Keywords

Convolutional Neural Network Arterial Spin Labeling Spin Labeling Perfusion Labeling Perfusion Mri Automated Learning Method Learning Method Whole Method Whole Breast Whole Breast Segmentation Electrophysiological Data Visualization Convolutional Neural Networks