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Rajarsi Gupta

Showing results (31-40 of 44) with videos related to

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JMIR Medical Informatics|December 17, 2020
Detecting Miscoded Diabetes Diagnosis Codes in Electronic Health Records for Quality Improvement: Temporal Deep Learning ApproachSina Rashidian, Kayley Abell-Hart, Janos Hajagos, et al.
Cancers|May 14, 2022
Spatial Characterization of Tumor-Infiltrating Lymphocytes and Breast Cancer ProgressionDanielle J Fassler, Luke A Torre-Healy, Rajarsi Gupta, et al.
The Journal of Pathology|October 5, 2023
Initial interactions with the FDA on developing a validation dataset as a medical device development toolSteven Hart, Victor Garcia, Sarah N Dudgeon, et al.
Frontiers in Bioengineering and Biotechnology|April 20, 2019
Methods for Segmentation and Classification of Digital Microscopy Tissue ImagesQuoc Dang Vu, Simon Graham, Tahsin Kurc, et al.
Cell Reports|April 5, 2018
Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology ImagesJoel Saltz, Rajarsi Gupta, Le Hou, et al.
Journal of Medical Imaging (Bellingham, Wash.)|August 1, 2022
Pilot study to evaluate tools to collect pathologist annotations for validating machine learning algorithmsKatherine Elfer, Sarah Dudgeon, Victor Garcia, et al.
The American Journal of Pathology|April 12, 2020
Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor-Infiltrating Lymphocytes in Invasive Breast CancerHan Le, Rajarsi Gupta, Le Hou, et al.
Research Square|April 16, 2025
Pathomics Image Analysis of Tumor Infiltrating Lymphocytes (TILs) in Colon CancerYuwei Zhang, Shahira Abousamra, Mahmudul Hasan, et al.
Frontiers in Neuroscience|March 11, 2020
Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning ApproachesTahsin Kurc, Spyridon Bakas, Xuhua Ren, et al.
Journal of Pathology Informatics|February 9, 2022
An Expandable Informatics Framework for Enhancing Central Cancer Registries with Digital Pathology Specimens, Computational Imaging Tools, and Advanced Mining CapabilitiesDavid J Foran, Eric B Durbin, Wenjin Chen, et al.
Pageof 5

Showing results (31-40 of 44) with videos related to

Sort By:
Pageof 5
JMIR Medical Informatics|December 17, 2020
Detecting Miscoded Diabetes Diagnosis Codes in Electronic Health Records for Quality Improvement: Temporal Deep Learning ApproachSina Rashidian, Kayley Abell-Hart, Janos Hajagos, et al.
Cancers|May 14, 2022
Spatial Characterization of Tumor-Infiltrating Lymphocytes and Breast Cancer ProgressionDanielle J Fassler, Luke A Torre-Healy, Rajarsi Gupta, et al.
The Journal of Pathology|October 5, 2023
Initial interactions with the FDA on developing a validation dataset as a medical device development toolSteven Hart, Victor Garcia, Sarah N Dudgeon, et al.
Frontiers in Bioengineering and Biotechnology|April 20, 2019
Methods for Segmentation and Classification of Digital Microscopy Tissue ImagesQuoc Dang Vu, Simon Graham, Tahsin Kurc, et al.
Cell Reports|April 5, 2018
Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology ImagesJoel Saltz, Rajarsi Gupta, Le Hou, et al.
Journal of Medical Imaging (Bellingham, Wash.)|August 1, 2022
Pilot study to evaluate tools to collect pathologist annotations for validating machine learning algorithmsKatherine Elfer, Sarah Dudgeon, Victor Garcia, et al.
The American Journal of Pathology|April 12, 2020
Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor-Infiltrating Lymphocytes in Invasive Breast CancerHan Le, Rajarsi Gupta, Le Hou, et al.
Research Square|April 16, 2025
Pathomics Image Analysis of Tumor Infiltrating Lymphocytes (TILs) in Colon CancerYuwei Zhang, Shahira Abousamra, Mahmudul Hasan, et al.
Frontiers in Neuroscience|March 11, 2020
Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning ApproachesTahsin Kurc, Spyridon Bakas, Xuhua Ren, et al.
Journal of Pathology Informatics|February 9, 2022
An Expandable Informatics Framework for Enhancing Central Cancer Registries with Digital Pathology Specimens, Computational Imaging Tools, and Advanced Mining CapabilitiesDavid J Foran, Eric B Durbin, Wenjin Chen, et al.
Pageof 5