Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer K Nagpal, D Foote, Y Liu, PHC Chen, E Wulczyn, F Tan, N Olson, ... NPJ digital medicine 2 (1), 48, 2019 | 436 | 2019 |
How to read articles that use machine learning: Users’ Guides to the Medical Literature Y Liu, PHC Chen, J Krause, L Peng Jama 322 (18), 1806-1816, 2019 | 417 | 2019 |
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge W Bulten, K Kartasalo, PHC Chen, P Ström, H Pinckaers, K Nagpal, Y Cai, ... Nature Medicine, 2022 | 296 | 2022 |
An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis PHC Chen, K Gadepalli, R MacDonald, Y Liu, K Nagpal, T Kohlberger, ... Nature Medicine, 2019 | 276* | 2019 |
How to develop machine learning models for healthcare PHC Chen, Y Liu, L Peng Nature Materials 18 (5), 410, 2019 | 276 | 2019 |
Chest radiograph interpretation with deep learning models: Assessment with radiologist-adjudicated reference standards and population-adjusted evaluation A Majkowska, S Mittal, DF Steiner, JJ Reicher, SM McKinney, GE Duggan, ... Radiology 294 (2), 421-431, 2020 | 263 | 2020 |
Deep learning-based survival prediction for multiple cancer types using histopathology images E Wulczyn, DF Steiner, Z Xu, A Sadhwani, H Wang, I Flament-Auvigne, ... PloS one 15 (6), e0233678, 2020 | 224 | 2020 |
A Reduced-Dimension fMRI Shared Response Model PH Chen, J Chen, Y Yeshurun, U Hasson, JV Haxby, PJ Ramadge Neural Information Processing Systems (NIPS), 2015 | 199 | 2015 |
Artificial intelligence in digital breast pathology: Techniques and applications A Ibrahim, P Gamble, R Jaroensri, MM Abdelsamea, CH Mermel, ... The Breast 49, 267-273, 2020 | 170 | 2020 |
Vulnerability of Antarctica’s ice shelves to meltwater-driven fracture CY Lai, J Kingslake, MG Wearing, PHC Chen, P Gentine, H Li, JJ Spergel, ... Nature, 2020 | 169 | 2020 |
Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy Specimens K Nagpal, D Foote, F Tan, Y Liu, PHC Chen, DF Steiner, N Manoj, ... JAMA Oncology, 2020 | 155 | 2020 |
Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging S Azizi, L Culp, J Freyberg, B Mustafa, S Baur, S Kornblith, T Chen, ... Nature Biomedical Engineering, 2023 | 140* | 2023 |
Interpretable survival prediction for colorectal cancer using deep learning E Wulczyn, DF Steiner, M Moran, M Plass, R Reihs, F Tan, ... NPJ digital medicine 4 (1), 71, 2021 | 127 | 2021 |
Determining breast cancer biomarker status and associated morphological features using deep learning P Gamble, R Jaroensri, H Wang, F Tan, M Moran, T Brown, ... Communications Medicine, 2021 | 97 | 2021 |
Current and future applications of artificial intelligence in pathology: a clinical perspective EA Rakha, M Toss, S Shiino, P Gamble, R Jaroensri, CH Mermel, ... Journal of clinical pathology 74 (7), 409-414, 2021 | 95 | 2021 |
Mapping Between fMRI Responses to Movies and their Natural Language Annotations K Vodrahalli, PH Chen, Y Liang, C Baldassano, J Chen, E Yong, C Honey, ... NeuroImage, 2017 | 89 | 2017 |
Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer Detection T Kohlberger, Y Liu, M Moran, PHC Chen, T Brown, CH Mermel, JD Hipp, ... Journal of Pathology Informatics 10 (1), 39, 2019 | 84 | 2019 |
Evaluation of the Use of Combined Artificial Intelligence and Pathologist Assessment to Review and Grade Prostate Biopsies DF Steiner, K Nagpal, R Sayres, DJ Foote, BD Wedin, A Pearce, CJ Cai, ... JAMA Network Open 3 (11), e2023267-e2023267, 2020 | 71 | 2020 |
Closing the translation gap: AI applications in digital pathology DF Steiner, PHC Chen, CH Mermel Biochimica et Biophysica Acta (BBA)-Reviews on Cancer, 188452, 2020 | 64 | 2020 |
Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19 Z Nabulsi, A Sellergren, S Jamshy, C Lau, E Santos, AP Kiraly, W Ye, ... Scientific Reports, 2021 | 43 | 2021 |