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Shrey S Sukhadia

Showing results (1-10 of 8) with videos related to

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Cancer Medicine|December 24, 2024
Machine Learning Enabled Prediction of Biologically Relevant Gene Expression Using CT-Based Radiomic Features in Non-Small Cell Lung CancerShrey S Sukhadia, Christoph Sadee, Olivier Gevaert, et al.
The American Journal of Pathology|December 14, 2025
Interpreting Deep Learning-Based Prediction of the BRAF V600E Mutation Using Diagnostic Whole Slide Images in Skin Cutaneous MelanomaVibha R Rao, Vy Nguyen, Thuy L Phung, et al.
Cancers|August 12, 2023
Machine Learning-Based Prediction of Distant Recurrence in Invasive Breast Carcinoma Using Clinicopathological Data: A Cross-Institutional StudyShrey S Sukhadia, Kristen E Muller, Adrienne A Workman, et al.
Bioinformatics Advances|January 26, 2023
ImaGene: a web-based software platform for tumor radiogenomic evaluation and reportingShrey S Sukhadia, Aayush Tyagi, Vivek Venkataraman, et al.
The Journal of Molecular Diagnostics : JMD|July 7, 2024
Validation and Implementation of a Somatic-Only Tumor Exome for Routine Clinical ApplicationParth S Shah, Edward G Hughes, Shrey S Sukhadia, et al.
Biorxiv : the Preprint Server for Biology|May 4, 2026
Interpreting and Validating a Deep Learning Model Predictive of Spatial Morphologic-Molecular Patterns in Lung Adenocarcinoma, Using Ground Truth Immunohistochemistry ImagesVibha R Rao, Adrienne A Workman, Scott M Palisoul, et al.
Biorxiv : the Preprint Server for Biology|February 23, 2026
X-SPATIO: An Explanatory Deep Learning Pipeline for the Prediction and Visualization of Spatially Resolved Biomarker Expression in Triple-Negative Breast CancerVibha R Rao, Madhumala K Sadanandappa, Candice C Black, et al.
JCO Precision Oncology|May 29, 2025
Clinical Implementation of Expanded Solid Tumor Fusion Detection With Whole-Transcriptome Sequencing at an Academic Cancer CenterEdward G Hughes, Drew T Bergman, Donald C Green, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Cancer Medicine|December 24, 2024
Machine Learning Enabled Prediction of Biologically Relevant Gene Expression Using CT-Based Radiomic Features in Non-Small Cell Lung CancerShrey S Sukhadia, Christoph Sadee, Olivier Gevaert, et al.
The American Journal of Pathology|December 14, 2025
Interpreting Deep Learning-Based Prediction of the BRAF V600E Mutation Using Diagnostic Whole Slide Images in Skin Cutaneous MelanomaVibha R Rao, Vy Nguyen, Thuy L Phung, et al.
Cancers|August 12, 2023
Machine Learning-Based Prediction of Distant Recurrence in Invasive Breast Carcinoma Using Clinicopathological Data: A Cross-Institutional StudyShrey S Sukhadia, Kristen E Muller, Adrienne A Workman, et al.
Bioinformatics Advances|January 26, 2023
ImaGene: a web-based software platform for tumor radiogenomic evaluation and reportingShrey S Sukhadia, Aayush Tyagi, Vivek Venkataraman, et al.
The Journal of Molecular Diagnostics : JMD|July 7, 2024
Validation and Implementation of a Somatic-Only Tumor Exome for Routine Clinical ApplicationParth S Shah, Edward G Hughes, Shrey S Sukhadia, et al.
Biorxiv : the Preprint Server for Biology|May 4, 2026
Interpreting and Validating a Deep Learning Model Predictive of Spatial Morphologic-Molecular Patterns in Lung Adenocarcinoma, Using Ground Truth Immunohistochemistry ImagesVibha R Rao, Adrienne A Workman, Scott M Palisoul, et al.
Biorxiv : the Preprint Server for Biology|February 23, 2026
X-SPATIO: An Explanatory Deep Learning Pipeline for the Prediction and Visualization of Spatially Resolved Biomarker Expression in Triple-Negative Breast CancerVibha R Rao, Madhumala K Sadanandappa, Candice C Black, et al.
JCO Precision Oncology|May 29, 2025
Clinical Implementation of Expanded Solid Tumor Fusion Detection With Whole-Transcriptome Sequencing at an Academic Cancer CenterEdward G Hughes, Drew T Bergman, Donald C Green, et al.
Pageof 1