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Collaborations and top research areas from the last five years
Grants & Projects
- 21 Finished
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Methods and Tools for Integrating Pathomics Data into Cancer Registries (Year 5)
Saltz, J. (PI), Kurc, T. (CoPI) & Samaras, D. (CoPI)
04/1/22 → 03/31/24
Project: Research
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Deep Learning for Large Scale Rail Defect Inspection
Samaras, D. (PI)
Federal Railroad Administration
09/27/21 → 06/6/25
Project: Research
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MRI: Acquisition of Heterogeneous Computer System for Machine Learning
Skiena, S. (PI), Ferdman, M. (CoPI), Kaufman, A. (CoPI), Liu, Z. (CoPI) & Samaras, D. (CoPI)
10/1/19 → 09/30/24
Project: Research
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SPIR: CVDI: Movement/Mobility Visual Analytics from Sensor Data - Phase II
Kaufman, A. (PI) & Samaras, D. (CoPI)
01/16/19 → 02/28/23
Project: Research
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GriDiT: Factorized Grid-Based Diffusion for Efficient Long Image Sequence Generation
Tomar, S. S., Graikos, A., Krishna, A., Samaras, D. & Mueller, K., Mar 1 2026, In: Transactions on Machine Learning Research. 2026-MarchResearch output: Contribution to journal › Article › peer-review
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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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Pathology Image Compression with Pre-trained Autoencoders
Yellapragada, S., Graikos, A., Triaridis, K., Li, Z., Nandi, T. N., Madduri, R. K., Prasanna, P., Saltz, J. & Samaras, D., 2026, Medical Image Computing and Computer Assisted Intervention, MICCAI 2025 - 28th International Conference, 2025, Proceedings. Gee, J. C., Hong, J., Sudre, C. H., Golland, P., Alexander, D. C., Iglesias, J. E., Venkataraman, A. & Kim, J. H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 442-452 11 p. (Lecture Notes in Computer Science; vol. 15961 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations -
PathSegDiff: Pathology Segmentation Using Diffusion Model Representations
Danisetty, S. K., Graikos, A., Yellapragada, S. & Samaras, D., 2026, Deep Generative Models - 5th MICCAI Workshop, DGM4MICCAI 2025, Held in Conjunction with MICCAI 2025, Proceedings. Mukhopadhyay, A., Oksuz, I., Engelhardt, S., Mehrof, D. & Yuan, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 141-150 10 p. (Lecture Notes in Computer Science; vol. 16128 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review