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Martin C. Stumpe
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2020 – today
- 2024
- [i17]Kshitij Ingale, Sun Hae Hong, Qiyuan Hu, Renyu Zhang, Bo Osinski, Mina Khoshdeli, Josh Och, Kunal Nagpal, Martin C. Stumpe, Rohan P. Joshi:
Efficient and generalizable prediction of molecular alterations in multiple cancer cohorts using H&E whole slide images. CoRR abs/2407.15816 (2024) - 2023
- [i16]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:
Prediction of MET Overexpression in Non-Small Cell Lung Adenocarcinomas from Hematoxylin and Eosin Images. CoRR abs/2310.07682 (2023) - [i15]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:
Development and Validation of a Deep Learning-Based Microsatellite Instability Predictor from Prostate Cancer Whole-Slide Images. CoRR abs/2310.08743 (2023) - [i14]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:
Large Language Models with Retrieval-Augmented Generation for Zero-Shot Disease Phenotyping. CoRR abs/2312.06457 (2023) - 2022
- [j7]Talal Ahmed
, Mark A. Carty, Stephane Wenric, Jonathan R. Dry
Privacy preserving validation for multiomic prediction models. Briefings Bioinform. 23(3) (2022) - [i13]Rohan P. Joshi, Boleslaw L. Osinski, Niha G. Beig, Lingdao Sha, Kshitij Ingale, Martin C. Stumpe:
Imaging-based histological features are predictive of MET alterations in Non-Small Cell Lung Cancer. CoRR abs/2203.10062 (2022) - [i12]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:
AI-augmented histopathologic review using image analysis to optimize DNA yield and tumor purity from FFPE slides. CoRR abs/2203.13948 (2022) - 2021
- [j6]Ellery Wulczyn, David F. Steiner, Melissa Moran, Markus Plass
Interpretable survival prediction for colorectal cancer using deep learning. npj Digit. Medicine 4 (2021) - [c3]Nathaniel Braman, Jacob W. H. Gordon, Emery T. Goossens, Caleb Willis, Martin C. Stumpe, Jagadish Venkataraman:
Deep Orthogonal Fusion: Multimodal Prognostic Biomarker Discovery Integrating Radiology, Pathology, Genomic, and Clinical Data. MICCAI (5) 2021: 667-677 - [i11]Nathaniel Braman, Jacob W. H. Gordon, Emery T. Goossens, Caleb Willis, Martin C. Stumpe, Jagadish Venkataraman:
Deep Orthogonal Fusion: Multimodal Prognostic Biomarker Discovery Integrating Radiology, Pathology, Genomic, and Clinical Data. CoRR abs/2107.00648 (2021) - 2020
- [i10]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
Interpretable Survival Prediction for Colorectal Cancer using Deep Learning. CoRR abs/2011.08965 (2020) - [i9]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
Predicting Prostate Cancer-Specific Mortality with A.I.-based Gleason Grading. CoRR abs/2012.05197 (2020)
2010 – 2019
- 2019
- [j5]Narayan Hegde
Similar image search for histopathology: SMILY. npj Digit. Medicine 2 (2019) - [j4]Kunal Nagpal, Yun Liu
Reply: 'The importance of study design in the application of artificial intelligence methods in medicine'. npj Digit. Medicine 2 (2019) - [j3]Kunal Nagpal, Davis Foote, Yun Liu
Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer. npj Digit. Medicine 2 (2019) - [j2]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
Publisher Correction: Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer. npj Digit. Medicine 2 (2019) - [c2]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:
Human-Centered Tools for Coping with Imperfect Algorithms During Medical Decision-Making. CHI 2019: 4 - [i8]Timo Kohlberger, Yun Liu
Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer Detection. CoRR abs/1901.04619 (2019) - [i7]Narayan Hegde, Jason D. Hipp, Yun Liu
Similar Image Search for Histopathology: SMILY. CoRR abs/1901.11112 (2019) - [i6]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:
Human-Centered Tools for Coping with Imperfect Algorithms during Medical Decision-Making. CoRR abs/1902.02960 (2019) - [i5]Ellery Wulczyn, David F. Steiner, Zhaoyang Xu, Apaar Sadhwani, Hongwu Wang, Isabelle Flament, Craig H. Mermel, Po-Hsuan Cameron Chen, Yun Liu
Deep learning-based survival prediction for multiple cancer types using histopathology images. CoRR abs/1912.07354 (2019) - 2018
- [i4]Kunal Nagpal, Davis Foote, Yun Liu
Development and Validation of a Deep Learning Algorithm for Improving Gleason Scoring of Prostate Cancer. CoRR abs/1811.06497 (2018) - [i3]Po-Hsuan Cameron Chen, Krishna Gadepalli, Robert MacDonald, Yun Liu
Microscope 2.0: An Augmented Reality Microscope with Real-time Artificial Intelligence Integration. CoRR abs/1812.00825 (2018) - 2017
- [i2]Yun Liu
Detecting Cancer Metastases on Gigapixel Pathology Images. CoRR abs/1703.02442 (2017) - 2015
- [c1]Yair Movshovitz-Attias, Qian Yu, Martin C. Stumpe, Vinay D. Shet, Sacha Arnoud, Liron Yatziv:
Ontological supervision for fine grained classification of Street View storefronts. CVPR 2015: 1693-1702 - [i1]Qian Yu, Christian Szegedy, Martin C. Stumpe, Liron Yatziv, Vinay D. Shet, Julian Ibarz, Sacha Arnoud:
Large Scale Business Discovery from Street Level Imagery. CoRR abs/1512.05430 (2015)
2000 – 2009
- 2008
- [j1]Martin C. Stumpe, Helmut Grubmüller:
Polar or Apolar - The Role of Polarity for Urea-Induced Protein Denaturation. PLoS Comput. Biol. 4(11) (2008)
Coauthor Index
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