Jacob Rosenthal - Dissemin

All papers authored by Jacob Rosenthal

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2023 Jacob Rosenthal

, Ryan Carelli, Mohamed Omar, David Brundage, Ella Halbert, Jackson Nyman, Surya N. Hari, Eliezer M. Van Allen, Luigi Marchionni, Renato Umeton, Massimo Loda

Supplementary Vignette 3 from Building Tools for Machine Learning and Artificial Intelligence in Cancer Research: Best Practices and a Case Study with the PathML Toolkit for Computational Pathology

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Jacob Rosenthal

, Ryan Carelli, Mohamed Omar, David Brundage, Ella Halbert, Jackson Nyman, Surya N. Hari, Eliezer M. Van Allen, Luigi Marchionni, Renato Umeton, Massimo Loda

Supplementary Vignette 1 from Building Tools for Machine Learning and Artificial Intelligence in Cancer Research: Best Practices and a Case Study with the PathML Toolkit for Computational Pathology

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Jacob Rosenthal

, Ryan Carelli, Mohamed Omar, David Brundage, Ella Halbert, Jackson Nyman, Surya N. Hari, Eliezer M. Van Allen, Luigi Marchionni, Renato Umeton, Massimo Loda

Supplementary Figure 1 from Building Tools for Machine Learning and Artificial Intelligence in Cancer Research: Best Practices and a Case Study with the PathML Toolkit for Computational Pathology

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Jacob Rosenthal

, Ryan Carelli, Mohamed Omar, David Brundage, Ella Halbert, Jackson Nyman, Surya N. Hari, Eliezer M. Van Allen, Luigi Marchionni, Renato Umeton, Massimo Loda

Data from Building Tools for Machine Learning and Artificial Intelligence in Cancer Research: Best Practices and a Case Study with the PathML Toolkit for Computational Pathology

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Jacob Rosenthal

, Ryan Carelli, Mohamed Omar, David Brundage, Ella Halbert, Jackson Nyman, Surya N. Hari, Eliezer M. Van Allen, Luigi Marchionni, Renato Umeton, Massimo Loda

Supplementary Vignette 2 from Building Tools for Machine Learning and Artificial Intelligence in Cancer Research: Best Practices and a Case Study with the PathML Toolkit for Computational Pathology

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Jacob Rosenthal

, Ryan Carelli, Mohamed Omar, David Brundage, Ella Halbert, Jackson Nyman, Surya N. Hari, Eliezer M. Van Allen, Luigi Marchionni, Renato Umeton, Massimo Loda

Supplementary Table 1 from Building Tools for Machine Learning and Artificial Intelligence in Cancer Research: Best Practices and a Case Study with the PathML Toolkit for Computational Pathology

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Kathryn L. Penney, Svitlana Tyekucheva, Jacob Rosenthal

, Habiba El Fandy, Ryan Carelli, Stephanie Borgstein, Giorgia Zadra, Giuseppe Nicolò Fanelli, Lavinia Stefanizzi, Francesca Giunchi, Mark Pomerantz, Samuel Peisch, Hannah Coulson, Rosina Lis, Adam S. Kibel and 3 other authors

Supplementary Figure 3 from Metabolomics of Prostate Cancer Gleason Score in Tumor Tissue and Serum

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Kathryn L. Penney, Svitlana Tyekucheva, Jacob Rosenthal

Supplementary Figure 2 from Metabolomics of Prostate Cancer Gleason Score in Tumor Tissue and Serum

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Kathryn L. Penney, Svitlana Tyekucheva, Jacob Rosenthal

Supplementary Figure 1 from Metabolomics of Prostate Cancer Gleason Score in Tumor Tissue and Serum

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Kathryn L. Penney, Svitlana Tyekucheva, Jacob Rosenthal

Supplementary Data from Metabolomics of Prostate Cancer Gleason Score in Tumor Tissue and Serum

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Kathryn L. Penney, Svitlana Tyekucheva, Jacob Rosenthal

Supplementary Table 1 from Metabolomics of Prostate Cancer Gleason Score in Tumor Tissue and Serum

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Kathryn L. Penney, Svitlana Tyekucheva, Jacob Rosenthal

Supplementary Figure 4 from Metabolomics of Prostate Cancer Gleason Score in Tumor Tissue and Serum

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Kathryn L. Penney, Svitlana Tyekucheva, Jacob Rosenthal

Data from Metabolomics of Prostate Cancer Gleason Score in Tumor Tissue and Serum

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This paper was not found in any repository, but could be made available legally by the author.

2021 Jacob Rosenthal

, Ryan Carelli, Mohamed Omar

, David Brundage, Ella Halbert, Jackson Nyman, Surya Narayanan Hari

, Eliezer Mendel Van Allen, Luigi Marchionni

, Renato Umeton

, Massimo Loda

Building Tools for Machine Learning and Artificial Intelligence in Cancer Research: Best Practices and a Case Study with the PathML Toolkit for Computational Pathology

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Santiago Romero Brufau, Jacob Rosenthal

, Jordan Kautz, Curtis Storlie, Kim Gaines, Jill Nagel, Adam VanDeusen, Matthew Johnson, Joel Hickman, Dale Hardin, Julie Schmidt, Gene Dankbar, Jeanne Huddleston

Clinical implementation of a machine learning system to detect deteriorating patients reduces time to response and intervention

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Jacob Rosenthal

MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation

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Surya Narayanan Hari, Jackson Nyman, Nicita Mehta, Bowen Jiang, Jacob Rosenthal

, Felix Dietlein, Eshna Sengupta, Renato Umeton, Eliezer M. Van Allen

Examining Batch Effect in Histopathology as a Distributionally Robust Optimization Problem

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This paper is made freely available by the publisher.

Alexander Chowdhury, Jacob Rosenthal

, Jonathan Waring, Renato Umeton

Applying Self-Supervised Learning to Medicine: Review of the State of the Art and Medical Implementations

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Alexander Chowdhury, Jonathan Waring, Renato Umeton, Jacob Rosenthal

Applied Self-Supervised Learning: Review of the State-of-the-Art and Implementations in Medicine

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2020 Kathryn L. Penney, Svitlana Tyekucheva

, Jacob Rosenthal

, Habiba El Fandy, Ryan Carelli, Stephanie Borgstein

, Giorgia Zadra, Giuseppe Nicolo Fanelli

, Lavinia Stefanizzi, Francesca Giunchi, Mark Pomerantz, Samuel Peisch, Hannah Coulson, Rosina T. Lis

, Adam S. Kibel and 3 other authors

Metabolomics of Prostate Cancer Gleason Score in Tumor Tissue and Serum

Download from aacrjournals.org

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All papers authored by Jacob Rosenthal