Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Daniel Fitting"'
Autor:
Adrian Krenzer, Stefan Heil, Daniel Fitting, Safa Matti, Wolfram G. Zoller, Alexander Hann, Frank Puppe
Publikováno v:
BMC Medical Imaging, Vol 23, Iss 1, Pp 1-25 (2023)
Abstract Background Colorectal cancer is a leading cause of cancer-related deaths worldwide. The best method to prevent CRC is a colonoscopy. However, not all colon polyps have the risk of becoming cancerous. Therefore, polyps are classified using di
Externí odkaz:
https://doaj.org/article/aa67574667b040a08c95c4d9d717135a
Autor:
Adrian Krenzer, Kevin Makowski, Amar Hekalo, Daniel Fitting, Joel Troya, Wolfram G. Zoller, Alexander Hann, Frank Puppe
Publikováno v:
BioMedical Engineering OnLine, Vol 21, Iss 1, Pp 1-23 (2022)
Abstract Background Machine learning, especially deep learning, is becoming more and more relevant in research and development in the medical domain. For all the supervised deep learning applications, data is the most critical factor in securing succ
Externí odkaz:
https://doaj.org/article/9bb60f9ba4e24448b4c5e16b850475d9
Autor:
Adrian Krenzer, Michael Banck, Kevin Makowski, Amar Hekalo, Daniel Fitting, Joel Troya, Boban Sudarevic, Wolfgang G. Zoller, Alexander Hann, Frank Puppe
Publikováno v:
Journal of Imaging, Vol 9, Iss 2, p 26 (2023)
Colorectal cancer (CRC) is a leading cause of cancer-related deaths worldwide. The best method to prevent CRC is with a colonoscopy. During this procedure, the gastroenterologist searches for polyps. However, there is a potential risk of polyps being
Externí odkaz:
https://doaj.org/article/940370f62c22471eb7372b5619375279
Autor:
Peter Hunyady, Lea Streller, Darius F Rüther, Sara Reinartz Groba, Dominik Bettinger, Daniel Fitting, Karim Hamesch, Jens U Marquardt, Victoria T Mücke, Fabian Finkelmeier, Asieb Sekandarzad, Tobias Wengenmayer, Ayoub Bounidane, Felicitas Weiss, Kai-Henrik Peiffer, Bernhard Schlevogt, Stefan Zeuzem, Oliver Waidmann, Marcus Hollenbach, Martha M Kirstein, Johannes Kluwe, Fabian Kütting, Marcus M Mücke
Publikováno v:
Clinical Infectious Diseases. 76:e179-e187
Background Secondary sclerosing cholangitis (SSC) is a rare disease with poor prognosis. Cases of SSC have been reported following coronavirus disease 2019 (COVID-SSC). The aim of this study was to compare COVID-SSC to SSC in critically ill patients
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1db03a939f8deda993dc1a60c63d0b31
https://doi.org/10.1093/cid/ciac565
https://doi.org/10.1093/cid/ciac565
Autor:
Daniel Fitting, Adrian Krenzer, Joel Troya, Michael Banck, Boban Sudarevic, Markus Brand, Wolfgang Böck, Wolfram G. Zoller, Thomas Rösch, Frank Puppe, Alexander Meining, Alexander Hann
Publikováno v:
Scandinavian Journal of Gastroenterology. 57:1397-1403
Computer-aided polyp detection (CADe) may become a standard for polyp detection during colonoscopy. Several systems are already commercially available. We report on a video-based benchmark technique for the first preclinical assessment of such system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19ad39fd4ab6ced9eee9eaa176cf420e
https://doi.org/10.1080/00365521.2022.2085059
https://doi.org/10.1080/00365521.2022.2085059
Publikováno v:
United European Gastroenterology Journal
Background Artificial intelligence (AI) using deep learning methods for polyp detection (CADe) and characterization (CADx) is on the verge of clinical application. CADe already implied its potential use in randomized controlled trials. Further effort
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a946a56180321526b0fa78c1f8f0c79
http://europepmc.org/articles/PMC8259277
http://europepmc.org/articles/PMC8259277
Autor:
Thomas J. Lux, Michael Banck, Zita Saßmannshausen, Joel Troya, Adrian Krenzer, Daniel Fitting, Boban Sudarevic, Wolfram G. Zoller, Frank Puppe, Alexander Meining, Alexander Hann
Publikováno v:
International journal of colorectal disease. 37(6)
Purpose Computer-aided polyp detection (CADe) systems for colonoscopy are already presented to increase adenoma detection rate (ADR) in randomized clinical trials. Those commercially available closed systems often do not allow for data collection and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0cbd52e1e864d5608ec2c3f052a1ce8
https://pubmed.ncbi.nlm.nih.gov/35543874
https://pubmed.ncbi.nlm.nih.gov/35543874
Autor:
Adrian Krenzer, Michael Banck, Kevin Makowski, Amar Hekalo, Daniel Fitting, Joel Troya, Boban Sudarevic, Wolfram G. Zoller, Alexander Hann, Frank Puppe
Background: Colorectal cancer (CRC) is still a leading cause of cancer-related deaths worldwide. The best method to prevent CRC is a colonoscopy. During this procedure, the colonoscopist searches for polyps. However, there is a potential risk of poly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::984a2fad706c48f8e0989135eec4ac15
https://doi.org/10.21203/rs.3.rs-1310139/v1
https://doi.org/10.21203/rs.3.rs-1310139/v1
Autor:
Peter, Hunyady, Lea, Streller, Darius F, Rüther, Sara Reinartz, Groba, Dominik, Bettinger, Daniel, Fitting, Karim, Hamesch, Jens U, Marquardt, Victoria T, Mücke, Fabian, Finkelmeier, Asieb, Sekandarzad, Tobias, Wengenmayer, Ayoub, Bounidane, Felicitas, Weiss, Kai Henrik, Peiffer, Bernhard, Schlevogt, Stefan, Zeuzem, Oliver, Waidmann, Marcus, Hollenbach, Martha M, Kirstein, Johannes, Kluwe, Fabian, Kütting, Marcus M, Mücke
Publikováno v:
Journal of Hepatology. 77:S313-S314
Secondary sclerosing cholangitis (SSC) is a rare disease with poor prognosis. Cases of SSC have been reported following coronavirus disease 2019 (COVID-19), COVID-SSC.Aim of this study was to compare COVID-SSC to SSC in critically ill patients (SSC-C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a93b0baa1d538e15836cf51ac24e41cc
https://doi.org/10.1016/s0168-8278(22)00993-x
https://doi.org/10.1016/s0168-8278(22)00993-x
Autor:
Frank Puppe, Alexander Hann, Kevin Makowski, Amar Hekalo, Wolfram G. Zoller, Daniel Fitting, Joel Troya, Adrian Krenzer
Background Machine learning, especially deep learning, is becoming more and more relevant in research and development in the medical domain. For all the supervised deep learning applications, data is the most critical factor in securing successful im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e86a1e43718da2fcb32b547a5833220
https://doi.org/10.21203/rs.3.rs-776478/v1
https://doi.org/10.21203/rs.3.rs-776478/v1