Evaluating reinforcement learning algorithms in observational health settings O Gottesman, F Johansson, J Meier, J Dent, D Lee, S Srinivasan, L Zhang, ... arXiv preprint arXiv:1805.12298, 2018 | 119 | 2018 |
Truly batch apprenticeship learning with deep successor features D Lee, S Srinivasan, F Doshi-Velez arXiv preprint arXiv:1903.10077, 2019 | 32 | 2019 |
Clinical validation of artificial intelligence–augmented pathology diagnosis demonstrates significant gains in diagnostic accuracy in prostate cancer detection P Raciti, J Sue, JA Retamero, R Ceballos, R Godrich, JD Kunz, A Casson, ... Archives of Pathology & Laboratory Medicine 147 (10), 1178-1185, 2023 | 24 | 2023 |
Virchow: A million-slide digital pathology foundation model E Vorontsov, A Bozkurt, A Casson, G Shaikovski, M Zelechowski, S Liu, ... arXiv preprint arXiv:2309.07778, 2023 | 19 | 2023 |
L. wei H O Gottesman, F Johansson, J Meier, J Dent, D Lee, S Srinivasan, L Zhang, ... Lehman, M. Komorowski, M. Komorowski, A. Faisal, LA Celi, D. Sontag, and F …, 2018 | 7 | 2018 |
Evaluating Reinforcement Learning Algorithms in Observational Health Settings. 2018; 1–16 O Gottesman, F Johansson, J Meier, J Dent, D Lee, S Srinivasan | 7 | 1805 |
Li wei H O Gottesman, F Johansson, J Meier, J Dent, D Lee, S Srinivasan, L Zhang, ... Lehman, Matthieu Komorowski, Matthieu Komorowski, Aldo Faisal, Leo Anthony …, 2018 | 6 | 2018 |
Evaluating reinforcement learning algorithms in observational health settings. arXiv. 2018 O Gottesman, F Johansson, J Meier, J Dent, D Lee, S Srinivasan, L Zhang, ... URL http://arxiv. org/abs/1805.12298 65, 66, 2019 | 5 | 2019 |
Li wei H. Lehman, Matthieu Komorowski, Matthieu Komorowski, Aldo Faisal, Leo Anthony Celi, David Sontag, and Finale Doshi-Velez. Evaluating reinforcement learning algorithms in … O Gottesman, F Johansson, J Meier, J Dent, D Lee, S Srinivasan, L Zhang, ... arXiv preprint arXiv:1805.12298, 2018 | 5 | 2018 |
Morphological breast cancer subtyping by weakly supervised neural networks M Hanna, M Lee, A Bozkurt, R Godrich, A Casson, P Raciti, J Sue, J Viret, ... LABORATORY INVESTIGATION 101 (SUPPL 1), 109-110, 2021 | 3 | 2021 |
Joint Breast Neoplasm Detection and Subtyping using Multi-Resolution Network Trained on Large-Scale H&E Whole Slide Images with Weak Labels A Casson, S Liu, RA Godrich, H Aghdam, B Rothrock, K Malfroid, ... Medical Imaging with Deep Learning, 18-38, 2024 | 1 | 2024 |
Abstract PD6-03: clinical-grade detection of breast cancer in biopsies and excisions using machine learning MG Hanna, P Raciti, R Godrich, A Casson, J Viret, D Lee, M Lee, ... Cancer Research 81 (4_Supplement), PD6-03-PD6-03, 2021 | 1 | 2021 |
Abstract PD11-02: Subtyping invasive carcinomas and high-risk lesions for machine learning based breast pathology MG Hanna, P Raciti, A Bozkurt, R Godrich, J Viret, D Lee, P Mathieu, ... Cancer Research 82 (4_Supplement), PD11-02-PD11-02, 2022 | | 2022 |
Morphological Subtyping of Breast Cancer using Machine Learning M Hanna, M Lee, A Bozkurt, P Hamilton, R Godrich, A Casson, P Raciti, ... JOURNAL OF PATHOLOGY 255, S35-S35, 2021 | | 2021 |
Abstract PD6-02: Digital MammaPrint and BluePrint using machine learning and whole slide imaging AM Glas, JS Reis-Filho, D Wehkamp, B Dodgas, L Delahaye, R Godrich, ... Cancer Research 81 (4_Supplement), PD6-02-PD6-02, 2021 | | 2021 |