Martin C. Stumpe - Concepedia

Author

Martin C. Stumpe

Also Known As

M Stumpe, M. C. Stumpe, M. Stumpe, M.C. Stumpe, Martin C Stumpe, Martin C. Stumpe, Martin Stumpe, Stumpe, M.C., Stumpe, Martin C, Stumpe, Martin C.

102

Publications

15.5K

Citations

H-Index

105

Concepts

All Affiliations

Google (United States)Tempus Labs (United States)Ames Research Center Search for Extraterrestrial Intelligence Bay Area Environmental Research Institute

About

Martin C. Stumpe is an author at Google (United States) specializing in engineering, medicine, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	11	11	3.1K
2	Medicine	8	8	2K
3	Natural Sciences	4	4	537
4	Social Sciences	3	3	148
5	Management	1	1	372

Martin C. Stumpe

Publications

15.3K

Citations

H-Index

Page 1

	Year	Citations
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs Varun Gulshan, Lily Peng, Marc Coram, JAMA	2016	7.2K
PLANETARY CANDIDATES OBSERVED BY <i>KEPLER</i> . III. ANALYSIS OF THE FIRST 16 MONTHS OF DATA Natalie M. Batalha, Jason F. Rowe, Thomas Barclay, The Astrophysical Journal Supplement Series	2013	1K
<i>Kepler</i>Presearch Data Conditioning II - A Bayesian Approach to Systematic Error Correction Jeffrey C. Smith, Martin C. Stumpe, Jeffrey E. Van Cleve, Publications of the Astronomical Society of the Pacific	2012	966
Multiscale Systematic Error Correction via Wavelet-Based Bandsplitting in<i>Kepler</i>Data Martin C. Stumpe, Jeffrey C. Smith, J. Catanzarite, Publications of the Astronomical Society of the Pacific EngineeringWavelet-based BandsplittingMulti-resolution MethodLight CurveImage Analysis	2014	640
Detecting Cancer Metastases on Gigapixel Pathology Images Yun Liu, Krishna Gadepalli, Mohammad Norouzi, arXiv (Cornell University) Convolutional Neural NetworkEngineeringMachine LearningDigital PathologyPathology	2017	521
Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer Kunal Nagpal, Davis Foote, Yun Liu, npj Digital Medicine	2019	479
Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer David F. Steiner, Robert MacDonald, Yun Liu, The American Journal of Surgical Pathology Breast Cancer MetastasisEngineeringMachine LearningWhole-slide ImagingDigital Pathology	2018	463
Artificial Intelligence–Based Breast Cancer Nodal Metastasis Detection: Insights Into the Black Box for Pathologists Yun Liu, Timo Kohlberger, Mohammad Norouzi, Archives of Pathology & Laboratory Medicine	2018	379
Human-Centered Tools for Coping with Imperfect Algorithms During Medical Decision-Making Carrie J. Cai, Emily Reif, Narayan Hegde, Artificial IntelligenceEngineeringMachine LearningClinical Decision-makingHuman-centered Tools	2019	372
An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis Po-Hsuan Cameron Chen, Krishna Gadepalli, Robert MacDonald, Nature Medicine Machine VisionEngineeringMedical ImagingMicroscopyMicroscope Image Processing	2019	337

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