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Collaborations and top research areas from the last five years
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CTSA UM1 State University of New York at Buffalo
Murphy, T. (PI), Sethi, S. (PI), Benedict, R. (CoI), Bisson, L. (CoI), Cadzow, R. (CoI), Cavuoto, L. (CoI), Ceusters, W. (CoI), Chakraborty, S. (CoI), Chandrasekharan, P. (CoI), Chang, Y.-P. (CoI), Daly, C. (CoI), Diehl, A. (CoI), Epstein, L. (CoI), Falls, Z. (CoI), Franklin, G. (CoI), Gao, M. (CoI), Halterman, M. (CoI), Hu, J. (CoI), Jacobs, D. (CoI), Kayler, L. (CoI), Lackner, J. (CoI), Lamonte, M. (CoI), Lillvis, D. (CoI), Liu, X. (CoI), Miecznikowski, J. (CoI), Morse, E. (CoI), Noyes, E. (CoI), Popescu, G. (CoI), Prescott, G. (CoI), Quattrin, T. (CoI), Russo, T. (CoI), Samudrala, V. (CoI), Singh, R. (CoI), Surtees, J. (CoI), Szigeti, K. (CoI), Titus, A. (CoI), Tornatore-Morse, K. (CoI), Tumiel-Berhalter, L. (CoI), Vest, B. (CoI), Wilding, G. (CoI), Williams, J. (CoI), Winkelstein, P. (CoI), Xiong, J. (CoI), Zola, J. (CoI), Lokhande, V. (CoI), Rogers, A. (CoI) & Baumgartner, A. (CoI)
National Center for Advancing Translational Sciences
01/1/25 → 12/31/31
Project: Research
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CAREER: Deploying Transferable Medical Imaging Diagnosis System in Diverse Environments
Gao, M. (PI)
07/1/23 → 06/30/28
Project: Research
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III: Small: Novel Geometric Algorithms for Learning from Big Biomedical Data
09/1/19 → 08/31/23
Project: Research
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CWCD: Category-Wise Contrastive Decoding for Structured Medical Report Generation
Srivastava, S., Bhosale, M., Doermann, D. & Gao, M., 2026, In: Proceedings of Machine Learning Research. 315, p. 868-893 26 p.Research output: Contribution to journal › Conference article › peer-review
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Release the Potential of Memory Buffer in Continual Learning: A Dynamic System Perspective
Wang, Z., Shen, L., Duan, T., Zhu, Y., Liu, T., Gao, M. & Tao, D., Feb 2026, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 48, 2, p. 1811-1824 14 p.Research output: Contribution to journal › Article › peer-review
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Template-guided reconstruction of pulmonary segments with neural implicit functions
Xie, K., Zhu, Y., Kuang, K., Zhang, L., Li, H. B., Gao, M. & Yang, J., Mar 2026, In: Medical Image Analysis. 109, 103916.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Training A Secure Model Against Data-Free Model Extraction
Wang, Z., Shen, L., Guo, J., Duan, T., Luan, S., Liu, T. & Gao, M., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 323-340 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15137 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Scopus citations -
Unifying domain gap in Federated Learning: A geometric approach
Lei, M., Ding, M., Ma, C., Huang, Z., Gao, M. & Xu, J., Feb 7 2025, In: Neurocomputing. 617, 128813.Research output: Contribution to journal › Article › peer-review
3 Scopus citations