Personal profile
Research interests
- 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.
Fingerprint
- 1 Similar Profiles
Collaborations and top research areas from the last five years
-
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
-
SCH: Topological Methods for Breast Tissue Quantification
Chen, C. (PI), Prasanna, P. (CoPI), Stessin, A. (CoI), Zhao, W. (CoI) & Ling, H. (CoI)
08/1/24 → 07/31/26
Project: Research
-
CAREER: Topology-Driven Learning for Biomedical Imaging Informatics
Chen, C. (PI)
07/1/22 → 06/30/27
Project: Research
-
The Linkage Between Race, Kaiso and the Tumor Microenvironment in Breast Cancer Health Disparities
Chen, C. (PI), Gupta, R. (CoPI), Kurc, T. (CoPI), Saltz, J. (CoPI) & Shroyer, K. (CoPI)
09/24/20 → 06/30/26
Project: Research
-
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
-
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
-
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, , 2026, (Accepted/In press) In: Abdominal Radiology.Research output: Contribution to journal › Article › peer-review
Open Access -
A Theoretical Study of Neural Network Expressive Power via Manifold Topology
Yao, J., Yi, L., Goswami, M. & Chen, C., 2025, In: Transactions on Machine Learning Research. 2025-MayResearch output: Contribution to journal › Article › peer-review
-
A Topological Comparison of the Fluorescence Imitating Brightfield Imaging and H&E Imaging
Xu, M., Anderson, N., Levenson, R. M., Prasanna, P. & Chen, C., 2025, Topology- and Graph-Informed Imaging Informatics - 1st International Workshop, TGI3 2024, Held in Conjunction with MICCAI 2024, Proceedings. Chen, C., Singh, Y. & Hu, X. (eds.). Springer Science and Business Media Deutschland GmbH, p. 122-133 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15239 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
BACKDOORING VISION-LANGUAGE MODELS WITH OUT-OF-DISTRIBUTION DATA
Lyu, W., Yao, J., Gupta, S., Pang, L., Sun, T., Yi, L., Hu, L., Ling, H. & Chen, C., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 84388-84406 19 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations