Markus W. Scheppach - Concepedia

Author

Markus W. Scheppach

Also Known As

M Scheppach, M. Scheppach, M. W. Scheppach, M.W. Scheppach, Markus Scheppach, Markus W Scheppach, Markus W. Scheppach, Markus Wolfgang Scheppach, Scheppach, Markus

Publications

299

Citations

H-Index

Concepts

All Affiliations

University Hospital Augsburg OTH Regensburg Chinese University of Hong Kong University of British Columbia Vancouver General Hospital

About

Markus W. Scheppach is an author at University Hospital Augsburg specializing in medicine, machine learning, and computer-aided diagnosis.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	2	2	127
2	Engineering	1	1	30
3	Cell Biology	1	1	97
4	Cellular Physiology	1	1	97
5	Data Science	1	1	30

Markus W. Scheppach

Publications

251

Citations

H-Index

Page 1

	Year	Citations
mTOR-mediated podocyte hypertrophy regulates glomerular integrity in mice and humans Victor G. Puelles, James W. van der Wolde, Nicola Wanner, JCI Insight Glomerular DiseaseRenal PathologyImmunologyCellular PhysiologyGlomerulonephritis	2019	97
Intelligent surgical workflow recognition for endoscopic submucosal dissection with real-time animal study Jianfeng Cao, Hon‐Chi Yip, Yueyao Chen, Nature Communications	2023	34
Effect of Real-Time Computer-Aided Polyp Detection System (ENDO-AID) on Adenoma Detection in Endoscopists-in-Training: A Randomized Trial Louis Ho Shing Lau, Jacky C. L. Ho, Jimmy Che‐To Lai, Clinical Gastroenterology and Hepatology	2023	34
Influence of artificial intelligence on the diagnostic performance of endoscopists in the assessment of Barrett’s esophagus: a tandem randomized and video trial M. Meinikheim, Robert Mendel, Christoph Palm, Endoscopy	2024	32
Vessel and tissue recognition during third-space endoscopy using a deep learning algorithm Alanna Ebigbo, Robert Mendel, Markus W. Scheppach, Gut Artificial IntelligenceConvolutional Neural NetworkVideo ClipsMachine LearningEngineering	2022	30
Detection of duodenal villous atrophy on endoscopic images using a deep learning algorithm Markus W. Scheppach, David Rauber, Johannes Stallhofer, Gastrointestinal Endoscopy	2023	24

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