Martin C. Stumpe

According to our database, Martin C. Stumpe authored at least 21 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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, Rohan P. Joshi, Nike Beaubier, Martin C. Stumpe, Kunal Nagpal

CoRR, 2023

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

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

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

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

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, Robert MacDonald, Benny Ayalew, Gregory S. Corrado, Lily H. Peng, Daniel Tse, Heimo Müller, Zhaoyang Xu, Yun Liu, Martin C. Stumpe, Kurt Zatloukal, Craig H. Mermel

npj Digit. Medicine, 2021

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

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, Martin C. Stumpe, Heimo Müller, Peter Regitnig, Andreas Holzinger, Gregory S. Corrado, Lily H. Peng, Po-Hsuan Cameron Chen, David F. Steiner, Kurt Zatloukal, Yun Liu, Craig H. Mermel

CoRR, 2020

2019

Publisher Correction: Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer.

Kunal Nagpal, Davis Foote, Yun Liu, Po-Hsuan Cameron Chen, Ellery Wulczyn, Fraser Tan, Niels Olson, Jenny L. Smith, Arash Mohtashamian, James H. Wren, Gregory S. Corrado, Robert MacDonald, Lily H. Peng, Mahul B. Amin, Andrew J. Evans, Ankur R. Sangoi, Craig H. Mermel, Jason D. Hipp, Martin C. Stumpe

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, Po-Hsuan Cameron Chen, Ellery Wulczyn, Fraser Tan, Niels Olson, Jenny L. Smith, Arash Mohtashamian, James H. Wren, Gregory S. Corrado, Robert MacDonald, Lily H. Peng, Mahul B. Amin, Andrew J. Evans, Ankur R. Sangoi, Craig H. Mermel, Jason D. Hipp, Martin C. Stumpe

npj Digit. Medicine, 2019

Reply: 'The importance of study design in the application of artificial intelligence methods in medicine'.

Kunal Nagpal, Yun Liu, Po-Hsuan Cameron Chen, Martin C. Stumpe, Craig H. Mermel

npj Digit. Medicine, 2019

Similar image search for histopathology: SMILY.

Narayan Hegde, Jason D. Hipp, Yun Liu, Michael Emmert-Buck, Emily Reif, Daniel Smilkov, Michael Terry, Carrie J. Cai, Mahul B. Amin, Craig H. Mermel, Philip Q. Nelson, Lily H. Peng, Gregory S. Corrado, Martin C. Stumpe

npj Digit. Medicine, 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, Martin C. Stumpe

CoRR, 2019

Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer Detection.

Timo Kohlberger, Yun Liu, Melissa Moran, Po-Hsuan Cameron Chen, Trissia Brown, Craig H. Mermel, Jason D. Hipp, Martin C. Stumpe

CoRR, 2019

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

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018

Microscope 2.0: An Augmented Reality Microscope with Real-time Artificial Intelligence Integration.

Po-Hsuan Cameron Chen, Krishna Gadepalli, Robert MacDonald, Yun Liu, Kunal Nagpal, Timo Kohlberger, Jeffrey Dean, Gregory S. Corrado, Jason D. Hipp, Martin C. Stumpe

CoRR, 2018

2017

Detecting Cancer Metastases on Gigapixel Pathology Images.

Yun Liu, Krishna Gadepalli, Mohammad Norouzi, George E. Dahl, Timo Kohlberger, Aleksey Boyko, Subhashini Venugopalan, Aleksei Timofeev, Philip Q. Nelson, Gregory S. Corrado, Jason D. Hipp, Lily Peng, Martin C. Stumpe

CoRR, 2017

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

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2008

Polar or Apolar - The Role of Polarity for Urea-Induced Protein Denaturation.

Martin C. Stumpe, Helmut Grubmüller

PLoS Comput. Biol., 2008