Articoli con mandati relativi all'accesso pubblico - Rajarsi GuptaUlteriori informazioni
Non disponibili pubblicamente: 4
Weakly-supervised deep stain decomposition for multiplex IHC images
S Abousamra, D Fassler, L Hou, Y Zhang, R Gupta, T Kurc, ...
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 481-485, 2020
Mandati: US National Institutes of Health, Pancreatic Cancer Action Network, USA
Delivering scalable deep learning to research with bridges-AI
PA Buitrago, NA Nystrom, R Gupta, J Saltz
High Performance Computing: 6th Latin American Conference, CARLA 2019 …, 2020
Mandati: US National Science Foundation
From whole slide tissues to knowledge: Mapping sub-cellular morphology of cancer
T Kurc, A Sharma, R Gupta, L Hou, H Le, S Abousamra, E Bremer, ...
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020
Mandati: US National Institutes of Health
Data-Driven Cancer Research with Digital Microscopy and Pathomics
R Gupta, T Kurc, JH Saltz
Handbook of Dynamic Data Driven Applications Systems: Volume 2, 659-682, 2023
Mandati: US National Science Foundation, US National Institutes of Health
Disponibili pubblicamente: 25
Spatial organization and molecular correlation of tumor-infiltrating lymphocytes using deep learning on pathology images
J Saltz, R Gupta, L Hou, T Kurc, P Singh, V Nguyen, D Samaras, ...
Cell reports 23 (1), 181-193. e7, 2018
Mandati: US National Science Foundation, US National Institutes of Health
Methods for segmentation and classification of digital microscopy tissue images
QD Vu, S Graham, T Kurc, MNN To, M Shaban, T Qaiser, NA Koohbanani, ...
Frontiers in bioengineering and biotechnology 7, 433738, 2019
Mandati: US National Institutes of Health, National Institute for Health Research, UK
Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images
L Hou, V Nguyen, AB Kanevsky, D Samaras, TM Kurc, T Zhao, RR Gupta, ...
Pattern recognition 86, 188-200, 2019
Mandati: US National Institutes of Health
Robust histopathology image analysis: To label or to synthesize?
L Hou, A Agarwal, D Samaras, TM Kurc, RR Gupta, JH Saltz
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
Mandati: US National Science Foundation, US National Institutes of Health
Utilizing automated breast cancer detection to identify spatial distributions of tumor-infiltrating lymphocytes in invasive breast cancer
H Le, R Gupta, L Hou, S Abousamra, D Fassler, L Torre-Healy, RA Moffitt, ...
The American journal of pathology 190 (7), 1491-1504, 2020
Mandati: US National Science Foundation, US National Institutes of Health
The emergence of pathomics
R Gupta, T Kurc, A Sharma, JS Almeida, J Saltz
Current Pathobiology Reports 7, 73-84, 2019
Mandati: US National Institutes of Health
Segmentation and classification in digital pathology for glioma research: challenges and deep learning approaches
T Kurc, S Bakas, X Ren, A Bagari, A Momeni, Y Huang, L Zhang, A Kumar, ...
Frontiers in neuroscience 14, 27, 2020
Mandati: US National Institutes of Health
Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images
DJ Fassler, S Abousamra, R Gupta, C Chen, M Zhao, D Paredes, ...
Diagnostic pathology 15, 1-11, 2020
Mandati: US National Science Foundation, US National Institutes of Health, Pancreatic …
Comparison of different classifiers with active learning to support quality control in nucleus segmentation in pathology images
S Wen, TM Kurc, L Hou, JH Saltz, RR Gupta, R Batiste, T Zhao, V Nguyen, ...
AMIA Summits on Translational Science Proceedings 2018, 227, 2018
Mandati: US National Institutes of Health
Dataset of segmented nuclei in hematoxylin and eosin stained histopathology images of ten cancer types
L Hou, R Gupta, JS Van Arnam, Y Zhang, K Sivalenka, D Samaras, ...
Scientific data 7 (1), 185, 2020
Mandati: US National Science Foundation, US National Institutes of Health
Pancreatic cancer detection in whole slide images using noisy label annotations
H Le, D Samaras, T Kurc, R Gupta, K Shroyer, J Saltz
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
Mandati: US National Science Foundation, US National Institutes of Health
Correlation of functional and resting state connectivity of cerebral oxy-, deoxy-, and total hemoglobin concentration changes measured by near-infrared spectrophotometry
U Wolf, V Toronov, JH Choi, R Gupta, A Michalos, E Gratton, M Wolf
Journal of biomedical optics 16 (8), 087013-087013-12, 2011
Mandati: US National Institutes of Health
Multi-class cell detection using spatial context representation
S Abousamra, D Belinsky, J Van Arnam, F Allard, E Yee, R Gupta, T Kurc, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Mandati: US National Science Foundation, US National Institutes of Health
A pathologist-annotated dataset for validating artificial intelligence: a project description and pilot study
SN Dudgeon, S Wen, MG Hanna, R Gupta, M Amgad, M Sheth, H Marble, ...
Journal of Pathology Informatics 12 (1), 45, 2021
Mandati: US Department of Defense, US National Institutes of Health, US Department of …
Pitfalls in machine learning‐based assessment of tumor‐infiltrating lymphocytes in breast cancer: A report of the International Immuno‐Oncology Biomarker Working Group on …
J Thagaard, G Broeckx, DB Page, CA Jahangir, S Verbandt, Z Kos, ...
The Journal of pathology 260 (5), 498-513, 2023
Mandati: US Department of Defense, US National Institutes of Health, US Department of …
A joint spatial and magnification based attention framework for large scale histopathology classification
J Zhang, K Ma, J Van Arnam, R Gupta, J Saltz, M Vakalopoulou, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Mandati: US National Institutes of Health, Australian Research Council
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