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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Quantification of Low-Frequency Oscillations in Cerebrospinal Fluid Dynamics with Rapidly Acquired Tagging MRI and Learning-based Spatiotemporal Pattern Recognition
Wang, Y. (PI), Chen, C. (CoPI) & Weinstein, J. (CoPI)
National Institute of Biomedical Imaging and Bioengineering
08/15/26 → 06/30/27
Project: Research
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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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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 → 07/31/27
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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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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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
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, , Oct 2026, In: Abdominal Radiology. 51, 10, p. 5333-5334 2 p.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 Access