Search Results for author: Martin C. Stumpe

Found 15 papers, 1 papers with code

Imaging-based histological features are predictive of MET alterations in Non-Small Cell Lung Cancer

no code implementations18 Mar 2022 Rohan P. Joshi, Bolesław L. Osinski, Niha Beig, Lingdao Sha, Kshitij Ingale, Martin C. Stumpe

The association of individual cell features with MET alterations suggested a predictive model could distinguish MET wild-type from MET amplification or MET exon 14 deletion.

whole slide images

Deep learning-based survival prediction for multiple cancer types using histopathology images

no code implementations16 Dec 2019 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

Our analysis demonstrates the potential for this approach to provide prognostic information in multiple cancer types, and even within specific pathologic stages.

Survival Prediction

Similar Image Search for Histopathology: SMILY

no code implementations30 Jan 2019 Narayan Hegde, Jason D. Hipp, Yun Liu, Michael E. Buck, Emily Reif, Daniel Smilkov, Michael Terry, Carrie J. Cai, Mahul B. Amin, Craig H. Mermel, Phil Q. Nelson, Lily H. Peng, Greg S. Corrado, Martin C. Stumpe

SMILY may be a useful general-purpose tool in the pathologist's arsenal, to improve the efficiency of searching large archives of histopathology images, without the need to develop and implement specific tools for each application.

Image Retrieval

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

no code implementations21 Nov 2018 Po-Hsuan Cameron Chen, Krishna Gadepalli, Robert MacDonald, Yun Liu, Kunal Nagpal, Timo Kohlberger, Jeffrey Dean, Greg S. Corrado, Jason D. Hipp, Martin C. Stumpe

We demonstrate the utility of ARM in the detection of lymph node metastases in breast cancer and the identification of prostate cancer with a latency that supports real-time workflows.

Large Scale Business Discovery from Street Level Imagery

no code implementations17 Dec 2015 Qian Yu, Christian Szegedy, Martin C. Stumpe, Liron Yatziv, Vinay Shet, Julian Ibarz, Sacha Arnoud

Precise business store front detection enables accurate geo-location of businesses, and further provides input for business categorization, listing generation, etc.

Kepler Presearch Data Conditioning I - Architecture and Algorithms for Error Correction in Kepler Light Curves

no code implementations7 Mar 2012 Martin C. Stumpe, Jeffrey C. Smith, Jeffrey E. Van Cleve, Joseph D. Twicken, Thomas S. Barclay, Michael N. Fanelli, Forrest R. Girouard, Jon M. Jenkins, Jeffery J. Kolodziejczak, Sean D. McCauliff, Robert L. Morris

This new PDC version, which utilizes a Bayesian approach for removal of systematics, reliably corrects errors in the light curves while at the same time preserving planet transits and other astrophysically interesting signals.

Instrumentation and Methods for Astrophysics Applications

Kepler Presearch Data Conditioning II - A Bayesian Approach to Systematic Error Correction

no code implementations7 Mar 2012 Jeffrey C. Smith, Martin C. Stumpe, Jeffrey E. Van Cleve, Jon M. Jenkins, Thomas S. Barclay, Michael N. Fanelli, Forrest R. Girouard, Jeffery J. Kolodziejczak, Sean D. McCauliff, Robert L. Morris, Joseph D. Twicken

These errors, which include discontinuities, outliers, systematic trends and other instrumental signatures, obscure astrophysical signals.

Instrumentation and Methods for Astrophysics Applications

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