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Collaborations and top research areas from the last five years
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RI: Medium: Information Super-Resolution for Very Large Images
Samaras, D. (PI), Gupta,MD/PhD, R. R. (CoPI), Lynch, H. J. (CoPI) & Saltz, J. (CoPI)
09/1/22 → 08/31/26
Project: Research
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PASC/RECOVER Yr 3 Q2-4; Yr 4 Q 1-4: The RECOVER Post-Acute Sequelae of SARS-CoV-2 (PASC) Electronic Health Record (EHR) Cohort Study
Saltz, J. (PI), Wong, R. (PI), Gupta,MD/PhD, R. R. (CoPI), Hajagos, J. (CoPI), Koraishy, F. (CoPI) & Kurc, T. (CoPI)
National Heart Lung and Blood Institute
03/1/24 → 11/30/25
Project: Research
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Ecology and Evolution of Breast Carcinogenesis
Damaghi, M. (PI), Saltz, J. (CoPI), Gupta,MD/PhD, R. R. (CoI) & Kurc, T. (CoI)
09/1/22 → 08/31/23
Project: Research
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COVID-19 Non-Clinical Research: Post-Acute Sequelae of SARS-COV-2 Infection Initiative: NYU Langone Health Clinical Science Core, Data Resource Core
Saltz, J. (PI), Abi-Dargham, A. (CoPI), Gupta,MD/PhD, R. R. (CoPI), Hajagos, J. (CoPI), Jawa, R. S. (CoPI), Koraishy, F. (CoPI), Kurc, T. (CoPI), Mallipattu, S. (CoPI), Prasanna, P. (CoPI), Rajupet, S. (CoPI), Saltz, M. (CoPI), Wong, R. (CoPI), Moffitt, R. (PI), Lingam, V. (CoPI) & Miller, J. (CoPI)
National Heart Lung and Blood Institute
10/1/21 → 02/29/24
Project: Research
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SEER Virtual Tissue Repository Pilot
Saltz, J. (PI), Kurc, T. (CoPI) & Gupta,MD/PhD, R. R. (CoI)
08/31/21 → 08/30/22
Project: Research
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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
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Measuring and predicting where and when pathologists focus their visual attention while grading whole slide images of cancer
Chakraborty, S., Xue, R., Gupta, R., Yaskiv, O., Friedman, C., Sheuka, N., Perez, D., Friedman, P., Choi, W. T., Mahmud, W., Knudsen, B., Zelinsky, G., Saltz, J. & Samaras, D., Jan 2026, In: Medical Image Analysis. 107, 103752.Research output: Contribution to journal › Article › peer-review
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Towards interpretable prediction of recurrence risk in breast cancer using pathology foundation models
Kaczmarzyk, J. R., Van Alsten, S. C., Cozzo, A. J., Gupta, R., Koo, P. K., Troester, M. A., Hoadley, K. A. & Saltz, J. H., Dec 2026, In: npj Digital Medicine. 9, 1, 149.Research output: Contribution to journal › Article › peer-review
Open Access -
ZoomLDM: Latent Diffusion Model for multi-scale image generation
Yellapragada, S., Graikos, A., Triaridis, K., Prasanna, P., Gupta, R., Saltz, J. & Samaras, D., 2025, In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 23453-23463 11 p.Research output: Contribution to journal › Conference article › peer-review
6 Scopus citations -
∞-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite Dimensions
Le, M. Q., Graikos, A., Yellapragada, S., Gupta, R., Saltz, J. & Samaras, D., 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. 385-401 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15090 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
4 Scopus citations