Grants & Projects per year
Personal profile
Research interests
Dr. Chao Chen's research spans machine learning, biomedical image analysis and topological data analysis. He is particularly interested in developing principled methods to characterize and regulate complex and dynamic systems arising in biomedicine and in theoretical study of deep neural networks.
Current projects:
- Robust machine learning.
- Image segmentation.
- Brain image analysis and cardiac image analysis.
- Pathology image analysis: tumor microenvironment analysis, cell detection and segmentation.
Biography
Chao Chen received his Ph.D. in computer science from Rensselaer Polytechnic Institute, Master's degree from National University of Singapore and B.Sci. degree from Peking University, China. He joined the Biomedical Informatics Department in 2018. Before coming to Stony Brook, he was a faculty member in the City University of New York.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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CRCNS: TopoVess: A Topology-Infomred Vasculature Analysis Platform for Neuroscience
Chen, C. (PI) & Xiong, Q. (CoPI)
National Inst of Neurological Disorders & Stroke
12/5/24 → 11/30/26
Project: Research
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CAREER: Topology-Driven Learning for Biomedical Imaging Informatics
Chen, C. (PI)
07/1/22 → 06/30/27
Project: Research
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SCH: Topological Methods for Breast Tissue Quantification
Chen, C. (PI), Prasanna, P. (CoPI), Stessin, A. M. (CoI), Zhao, W. (CoI) & Ling, H. (CoI)
08/1/24 → 07/31/26
Project: Research
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Topological Analysis and Manifold Study for Deep Neural Networks
Chen, C. (PI)
Defense Advanced Research Projects Agency (DARPA)
01/4/23 → 10/3/23
Project: Research
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TrojAI Extension with SRI - Phase 2 Option
Chen, C. (PI)
Intelligence Advanced Research Projects Activity (IARPA)
11/1/22 → 10/31/24
Project: Research
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Automatic Anatomic Segmentation for Human Hippocampal Histology Sections
Lee, J., Abousamra, S., Miller, M. L., Xiao, H., Gardner, K. L., Teich, A. F. & Chen, C., Apr 3 2026, Medical Imaging 2026: Digital and Computational Pathology. Tomaszewski, J. E. & Doyle, S. (eds.). SPIE, 139320T. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 13932).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Correction to: Multi-center evaluation of radiomics and deep learning to stratify malignancy risk of IPMNs (Abdominal Radiology, (2026), 10.1007/s00261-025-05371-3)
Bejar, A. M., Jaramillo Gonzalez, M., Hong, Z., Durak, G., Keles, E., Aktas, H. E., Zhang, Z., Pan, H., Jozwiak, Z. S., Bol, F., Zhao, L., Chen, C., Spampinato, C., Medetalibeyoglu, A., Erturk, S. M., Kartal, G. D., Velichko, Y., Agarunov, E., Xu, Z. & Jambawalikar, S. & 10 others, , 2026, (Accepted/In press) In: Abdominal Radiology.Research output: Contribution to journal › Comment/debate
Open Access -
Identification of high-risk cells in single-cell spatially resolved transcriptomics data using Diagnostic Evidence GAuge of Single-cells with spatial smoothing
Chatterjee, D., Couetil, J. L., Liu, Z., Huang, K., Chen, C., Zhang, J., Kalwat, M. A. & Johnson, T. S., May 2026, In: Bioinformatics. 42, 5, btag098.Research output: Contribution to journal › Article › peer-review
Open Access -
Label-Efficient Deep Color Deconvolution of Brightfield Multiplex IHC Images
Abousamra, S., Fassler, D., Gupta, R., Kurc, T., Escobar-Hoyos, L. F., Samaras, D., Shroyer, K. R., Saltz, J. & Chen, C., 2026, In: IEEE Transactions on Medical Imaging. 45, 2, p. 853-864 12 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Multi-center evaluation of radiomics and deep learning to stratify malignancy risk of IPMNs
Bejar, A. M., Jaramillo Gonzalez, M., Hong, Z., Durak, G., Keles, E., Aktas, H. E., Zhang, Z., Pan, H., Jozwiak, Z. S., Bol, F., Zhao, L., Chen, C., Spampinato, C., Medetalibeyoglu, A., Erturk, S. M., Kartal, G. D., Velichko, Y., Agarunov, E., Xu, Z. & Jambawalikar, S. & 10 others, , Aug 2026, In: Abdominal Radiology. 51, 8, p. 3805-3820 16 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations