Polar or Apolar - The Role of Polarity for Urea-Induced Protein Denaturation. - Martin C. Stumpe; Helmut Grubmüller (PLoS Comput. Biol., 2008)

Ontological supervision for fine grained classification of Street View storefronts. - Yair Movshovitz-Attias; Qian Yu; Martin C. Stumpe; Vinay D. Shet; Sacha Arnoud; Liron Yatziv (CVPR, 2015)

Large Scale Business Discovery from Street Level Imagery. - Qian Yu; Christian Szegedy; Martin C. Stumpe; Liron Yatziv; Vinay D. Shet; Julian Ibarz; Sacha Arnoud (CoRR, 2015)

Detecting Cancer Metastases on Gigapixel Pathology Images. - Yun Liu 013; Krishna Gadepalli; Mohammad Norouzi 002; George E. Dahl; Timo Kohlberger; Aleksey Boyko; Subhashini Venugopalan; Aleksei Timofeev; Philip Q. Nelson; Gregory S. Corrado; Jason D. Hipp; Lily Peng; et al. (CoRR, 2017)

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)

Human-Centered Tools for Coping with Imperfect Algorithms During Medical Decision-Making. - Carrie J. Cai; Emily Reif; Narayan Hegde; Jason D. Hipp; Been Kim; Daniel Smilkov; Martin Wattenberg; Fernanda B. Viégas; Gregory S. Corrado; Martin C. Stumpe; Michael Terry (CHI, 2019)

Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer Detection. - Timo Kohlberger; Yun Liu 013; Melissa Moran; Po-Hsuan Cameron Chen; Trissia Brown; Craig H. Mermel; Jason D. Hipp; Martin C. Stumpe (CoRR, 2019)

Deep learning-based survival prediction for multiple cancer types using histopathology images. - Ellery Wulczyn; David F. Steiner; Zhaoyang Xu; Apaar Sadhwani; Hongwu Wang; Isabelle Flament; Craig H. Mermel; Po-Hsuan Cameron Chen; Yun Liu 013; Martin C. Stumpe (CoRR, 2019)

Similar image search for histopathology: SMILY. - Narayan Hegde; Jason D. Hipp; Yun Liu 013; Michael Emmert-Buck; Emily Reif; Daniel Smilkov; Michael Terry; Carrie J. Cai; Mahul B. Amin; Craig H. Mermel; Philip Q. Nelson; Lily H. Peng; et al. (npj Digit. Medicine, 2019)

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)

Deep Orthogonal Fusion: Multimodal Prognostic Biomarker Discovery Integrating Radiology, Pathology, Genomic, and Clinical Data. - Nathaniel Braman; Jacob W. H. Gordon; Emery T. Goossens; Caleb Willis; Martin C. Stumpe; Jagadish Venkataraman (MICCAI (5), 2021)

Interpretable survival prediction for colorectal cancer using deep learning. - Ellery Wulczyn; David F. Steiner; Melissa Moran; Markus Plass; Robert Reihs; Fraser Tan; Isabelle Flament-Auvigne; Trissia Brown; Peter Regitnig; Po-Hsuan Cameron Chen; Narayan Hegde; Apaar Sadhwani; et al. (npj Digit. Medicine, 2021)

Privacy preserving validation for multiomic prediction models. - Talal Ahmed; Mark A. Carty; Stephane Wenric; Jonathan R. Dry; Ameen A. Salahudeen; Aly A. Khan; Eric Lefkofsky; Martin C. Stumpe; Raphael Pelossof (Briefings Bioinform., 2022)

Imaging-based histological features are predictive of MET alterations in Non-Small Cell Lung Cancer. - Rohan P. Joshi; Boleslaw L. Osinski; Niha G. Beig; Lingdao Sha; Kshitij Ingale; Martin C. Stumpe (CoRR, 2022)

AI-augmented histopathologic review using image analysis to optimize DNA yield and tumor purity from FFPE slides. - Boleslaw L. Osinski; Aïcha BenTaieb; Irvin Ho; Ryan D. Jones; Rohan P. Joshi; Andrew Westley; Michael Carlson; Caleb Willis; Luke Schleicher; Brett M. Mahon; Martin C. Stumpe (CoRR, 2022)

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)

Large Language Models with Retrieval-Augmented Generation for Zero-Shot Disease Phenotyping. - Will E. Thompson; David M. Vidmar; Jessica K. De Freitas; John M. Pfeifer; Brandon K. Fornwalt; Ruijun Chen; Gabriel Altay; Kabir Manghnani; Andrew C. Nelsen; Kellie Morland; Martin C. Stumpe; Riccardo Miotto (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)