Scholar
Pengfei Gu
Google Scholar ID: cauZmtsAAAAJ
Assistant Professor in Computer Science, University of Texas Rio Grande Valley
Computer Vision
Deep Learning
Medical Image Analysis
Scientific Visualization
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Citations & Impact
All-time
Citations
326
H-index
10
i10-index
12
Publications
20
Co-authors
0
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Publications
13 items
TopoCL: Topological Contrastive Learning for Medical Imaging
2026
Cited
0
Learning with Geometric Priors in U-Net Variants for Polyp Segmentation
2026
Cited
0
R-GenIMA: Integrating Neuroimaging and Genetics with Interpretable Multimodal AI for Alzheimer's Disease Progression
2025
Cited
0
Integrating Multi-scale and Multi-filtration Topological Features for Medical Image Classification
2025
Cited
0
Inferred global dense residue transition graphs from primary structure sequences enable protein interaction prediction via directed graph convolutional neural networks
2025
Cited
0
TopoImages: Incorporating Local Topology Encoding into Deep Learning Models for Medical Image Classification
2025
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Adapting a Segmentation Foundation Model for Medical Image Classification
2025
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Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation
2025
Cited
0
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Resume (English only)
Academic Achievements
- Publications: Multiple papers accepted by WACV 2026, IEEE BIBM 2025, Frontiers in Bioinformatics, ICDM workshop 2025, ACM Multimedia 2025, CBMS 2025, AI In Neuroscience, ISBI 2025, SPIE Medical Imaging 2025, WACV 2025, PRCV 2024, Bioinformatics Advances, MICCAI 2024, IEEE VIS Short Papers 2024, Medical Image Analysis, C&G, MICCAI 2023, ISBI 2023, BIBM 2022, etc.
- NSF CISE MSI program funding for three years
- USDA-APHIS program funding for two years
Research Experience
- Assistant Professor at the Department of Computer Science, University of Texas Rio Grande Valley
Education
- Ph.D.: University of Notre Dame (Advisors: Dr. Danny Z. Chen and Dr. Chaoli Wang)
- M.S. in Computer Science and M.S. in Mathematics: University of Texas Rio Grande Valley
- B.S. in Mathematics: Tianjin University of Technology and Education
Background
- Deep learning for biomedical image analysis (e.g., image segmentation, classification, and detection)
- Topology-driven image analysis
- Self-supervised learning
- Large foundation models/Large language models in medical imaging
- Multi-modal data analysis
- Deep learning for scientific visualization
- Scientific data generation
- Scientific data compression
Miscellany
- Looking for a new full-sponsered PhD student to join his research team in Fall 2025/Spring 2026
Co-authors
0 total
Co-authors: 0 (list not available)
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