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David F Steiner

Showing results (21-30 of 30) with videos related to

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Scientific Reports|August 17, 2021
Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology imagesApaar Sadhwani, Huang-Wei Chang, Ali Behrooz, et al.
Communications Medicine|April 24, 2023
Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learningJustin D Krogue, Shekoofeh Azizi, Fraser Tan, et al.
Communications Medicine|May 23, 2022
Determining breast cancer biomarker status and associated morphological features using deep learningPaul Gamble, Ronnachai Jaroensri, Hongwu Wang, et al.
Communications Medicine|May 23, 2022
Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason gradingEllery Wulczyn, Kunal Nagpal, Matthew Symonds, et al.
NPJ Digital Medicine|April 20, 2021
Interpretable survival prediction for colorectal cancer using deep learningEllery Wulczyn, David F Steiner, Melissa Moran, et al.
JAMA Network Open|November 12, 2020
Evaluation of the Use of Combined Artificial Intelligence and Pathologist Assessment to Review and Grade Prostate BiopsiesDavid F Steiner, Kunal Nagpal, Rory Sayres, et al.
NPJ Breast Cancer|October 3, 2022
Deep learning models for histologic grading of breast cancer and association with disease prognosisRonnachai Jaroensri, Ellery Wulczyn, Narayan Hegde, et al.
Cancer Research Communications|December 5, 2024
Autofluorescence Virtual Staining System for H&E Histology and Multiplex Immunofluorescence Applied to Immuno-Oncology Biomarkers in Lung CancerJessica Loo, Marc Robbins, Carson McNeil, et al.
JAMA Oncology|July 24, 2020
Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy SpecimensKunal Nagpal, Davis Foote, Fraser Tan, et al.
Nature Medicine|January 14, 2022
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challengeWouter Bulten, Kimmo Kartasalo, Po-Hsuan Cameron Chen, et al.
Pageof 3

Showing results (21-30 of 30) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 30 results.
Scientific Reports|August 17, 2021
Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology imagesApaar Sadhwani, Huang-Wei Chang, Ali Behrooz, et al.
Communications Medicine|April 24, 2023
Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learningJustin D Krogue, Shekoofeh Azizi, Fraser Tan, et al.
Communications Medicine|May 23, 2022
Determining breast cancer biomarker status and associated morphological features using deep learningPaul Gamble, Ronnachai Jaroensri, Hongwu Wang, et al.
Communications Medicine|May 23, 2022
Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason gradingEllery Wulczyn, Kunal Nagpal, Matthew Symonds, et al.
NPJ Digital Medicine|April 20, 2021
Interpretable survival prediction for colorectal cancer using deep learningEllery Wulczyn, David F Steiner, Melissa Moran, et al.
JAMA Network Open|November 12, 2020
Evaluation of the Use of Combined Artificial Intelligence and Pathologist Assessment to Review and Grade Prostate BiopsiesDavid F Steiner, Kunal Nagpal, Rory Sayres, et al.
NPJ Breast Cancer|October 3, 2022
Deep learning models for histologic grading of breast cancer and association with disease prognosisRonnachai Jaroensri, Ellery Wulczyn, Narayan Hegde, et al.
Cancer Research Communications|December 5, 2024
Autofluorescence Virtual Staining System for H&E Histology and Multiplex Immunofluorescence Applied to Immuno-Oncology Biomarkers in Lung CancerJessica Loo, Marc Robbins, Carson McNeil, et al.
JAMA Oncology|July 24, 2020
Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy SpecimensKunal Nagpal, Davis Foote, Fraser Tan, et al.
Nature Medicine|January 14, 2022
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challengeWouter Bulten, Kimmo Kartasalo, Po-Hsuan Cameron Chen, et al.
Pageof 3