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Taghi Mostafavi
Biomedical Imaging
Biomedical Instrumentation
Image Processing
Visual Analytics
About
Taghi Mostafavi, Ph.D. is an Associate Professor of Computer Science in the College of Computing and Informatics at the University of North Carolina at Charlotte. He holds a Ph.D. from Oklahoma State University (1986). Dr. Mostafavi’s work spans areas including biomedical imaging and instrumentation, image processing, and computer systems engineering, and he is affiliated with research centers such as the Ribarsky Center for Visual Analytics. He teaches and conducts research in topics related to computing and biomedical applications.
Research Performance Summary
1990-2023
Active Research Span
First Recorded Paper
Single-Layer Perceptron Capable Of Classifying 2N+ 1 Distinct Input Patterns
Year:
1990
Citations:
3
Venue:
International Journal of Modelling and Simulation 10 (4)
Latest Recorded Paper
Early detection of ovarian cancer using mRNA sample data to investigate the correlation of specific gene mutations with ovarian cancer
Year:
2023
Citations:
0
Venue:
Cancer Research 83 (7_Supplement)
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Top Coauthors
Mostafavi
Bahrani-Mostafavi
Tait
Research Impact by Period
Papers
3
Citations
63
Avg. Citations / Paper
21
H-Index
2
Papers
13
Citations
88
Avg. Citations / Paper
6.8
H-Index
5
Papers
3
Citations
1
Avg. Citations / Paper
0.3
H-Index
1
Papers
6
Citations
37
Avg. Citations / Paper
6.2
H-Index
2
Papers
1
Citations
22
Avg. Citations / Paper
22
H-Index
1
Papers
3
Citations
65
Avg. Citations / Paper
21.7
H-Index
2
Papers
3
Citations
3
Avg. Citations / Paper
1
H-Index
1
Contact and Professional Links
Detected Research Keywords
Expression Ovarian Cancer
Serous Ovarian Cancer
Correlation Analysis Hox
Analysis Hox Erbb
Family Gene Expression
Gene Expression Ovarian
Grade Serous Ovarian
Pathway Enrichment Analysis
Hoxc6 Ovarian Cancer
Ovarian Cancer Methods