Microscope 2.0: An Augmented Reality Microscope with Real-time Artificial Intelligence Integration. - Po-Hsuan Cameron Chen; Krishna Gadepalli; Robert MacDonald; Yun Liu 013; Kunal Nagpal; Timo Kohlberger; Jeffrey Dean; Gregory S. Corrado; Jason D. Hipp; Martin C. Stumpe (CoRR, 2018)

Reply: 'The importance of study design in the application of artificial intelligence methods in medicine'. - Kunal Nagpal; Yun Liu 013; Po-Hsuan Cameron Chen; Martin C. Stumpe; Craig H. Mermel (npj Digit. Medicine, 2019)

Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer. - Kunal Nagpal; Davis Foote; Yun Liu 013; Po-Hsuan Cameron Chen; Ellery Wulczyn; Fraser Tan; Niels Olson; Jenny L. Smith; Arash Mohtashamian; James H. Wren; Gregory S. Corrado; Robert MacDonald; et al. (npj Digit. Medicine, 2019)

Publisher Correction: Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer. - Kunal Nagpal; Davis Foote; Yun Liu 013; Po-Hsuan Cameron Chen; Ellery Wulczyn; Fraser Tan; Niels Olson; Jenny L. Smith; Arash Mohtashamian; James H. Wren; Gregory S. Corrado; Robert MacDonald; et al. (npj Digit. Medicine, 2019)

Predicting Prostate Cancer-Specific Mortality with A.I.-based Gleason Grading. - Ellery Wulczyn; Kunal Nagpal; Matthew Symonds; Melissa Moran; Markus Plass; Robert Reihs; Farah Nader; Fraser Tan; Yuannan Cai; Trissia Brown; Isabelle Flament-Auvigne; Mahul B. Amin; et al. (CoRR, 2020)

Prediction of MET Overexpression in Non-Small Cell Lung Adenocarcinomas from Hematoxylin and Eosin Images. - Kshitij Ingale; Sun Hae Hong; Josh S. K. Bell; Abbas A. Rizvi; Amy Welch; Lingdao Sha; Irvin Ho; Kunal Nagpal; Aïcha BenTaieb; Rohan P. Joshi; Martin C. Stumpe (CoRR, 2023)

Development and Validation of a Deep Learning-Based Microsatellite Instability Predictor from Prostate Cancer Whole-Slide Images. - Qiyuan Hu; Abbas A. Rizvi; Geoffery Schau; Kshitij Ingale; Yoni Muller; Rachel Baits; Sebastian Pretzer; Aïcha BenTaieb; Abigail Gordhamer; Roberto Nussenzveig; Adam Cole; Matthew O. Leavitt; et al. (CoRR, 2023)

Efficient and generalizable prediction of molecular alterations in multiple cancer cohorts using H&E whole slide images. - Kshitij Ingale; Sun Hae Hong; Qiyuan Hu; Renyu Zhang; Bo Osinski; Mina Khoshdeli; Josh Och; Kunal Nagpal; Martin C. Stumpe; Rohan P. Joshi (CoRR, 2024)