Rajarsi Gupta, Ph.D.
Affiliations: | 2006 | University of Illinois, Urbana-Champaign, Urbana-Champaign, IL |
Area:
Medical Biophysics, BiochemistryGoogle:
"Rajarsi Gupta"Mean distance: (not calculated yet)
Parents
Sign in to add mentor| William W. Mantulin | grad student | 2006 | UIUC | |
| (Frequency-domain near-infrared spectroscopy in the human brain.) | ||||
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Publications
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| Jahangir CA, Page DB, Broeckx G, et al. (2024) Image-based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno-oncology Biomarker Working Group on Breast Cancer. The Journal of Pathology |
| Kaczmarzyk JR, O'Callaghan A, Inglis F, et al. (2024) Open and reusable deep learning for pathology with WSInfer and QuPath. Npj Precision Oncology. 8: 9 |
| Kapse S, Das S, Zhang J, et al. (2023) Attention De-sparsification Matters: Inducing diversity in digital pathology representation learning. Medical Image Analysis. 93: 103070 |
| Hart S, Garcia V, Dudgeon SN, et al. (2023) Initial interactions with the FDA on developing a validation dataset as a medical device development tool. The Journal of Pathology |
| Thagaard J, Broeckx G, Page DB, et al. (2023) Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: a report of the international immuno-oncology biomarker working group. The Journal of Pathology |
| Page DB, Broeckx G, Jahangir CA, et al. (2023) Spatial analyses of immune cell infiltration in cancer: current methods and future directions. A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer. The Journal of Pathology |
| Kaczmarzyk JR, Gupta R, Kurc TM, et al. (2023) ChampKit: A framework for rapid evaluation of deep neural networks for patch-based histopathology classification. Computer Methods and Programs in Biomedicine. 239: 107631 |
| Elfer K, Dudgeon S, Garcia V, et al. (2022) Pilot study to evaluate tools to collect pathologist annotations for validating machine learning algorithms. Journal of Medical Imaging (Bellingham, Wash.). 9: 047501 |
| Fassler DJ, Torre-Healy LA, Gupta R, et al. (2022) Spatial Characterization of Tumor-Infiltrating Lymphocytes and Breast Cancer Progression. Cancers. 14 |
| Abousamra S, Gupta R, Hou L, et al. (2022) Deep Learning-Based Mapping of Tumor Infiltrating Lymphocytes in Whole Slide Images of 23 Types of Cancer. Frontiers in Oncology. 11: 806603 |