Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Boris Pfahringer"'
Autor:
Nina Rank, Boris Pfahringer, Jörg Kempfert, Christof Stamm, Titus Kühne, Felix Schoenrath, Volkmar Falk, Carsten Eickhoff, Alexander Meyer
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-12 (2020)
Abstract Acute kidney injury (AKI) is a major complication after cardiothoracic surgery. Early prediction of AKI could prompt preventive measures, but is challenging in the clinical routine. One important reason is that the amount of postoperative da
Externí odkaz:
https://doaj.org/article/f075b261cadc4b909376e8bceccb2f25
Autor:
Volkmar Falk, Titus Kühne, Felix Schoenrath, Nina Rank, Christof Stamm, Alexander Meyer, Boris Pfahringer, Carsten Eickhoff, Jörg Kempfert
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-12 (2020)
Rank, N.; Pfahringer, B.; Kempfert, J.; Stamm, C.; Kühne, T.; Schoenrath, F.; Falk, V.; Eickhoff, C.; Meyer, A.: Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performance. In: npj Digital Medicine . Vol. 3 (2020) 1, 139. (DOI: /10.1038/s41746-020-00346-8)
NPJ Digital Medicine
npj Digital Medicine, 3 (1)
Rank, N.; Pfahringer, B.; Kempfert, J.; Stamm, C.; Kühne, T.; Schoenrath, F.; Falk, V.; Eickhoff, C.; Meyer, A.: Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performance. In: npj Digital Medicine . Vol. 3 (2020) 1, 139. (DOI: /10.1038/s41746-020-00346-8)
NPJ Digital Medicine
npj Digital Medicine, 3 (1)
Acute kidney injury (AKI) is a major complication after cardiothoracic surgery. Early prediction of AKI could prompt preventive measures, but is challenging in the clinical routine. One important reason is that the amount of postoperative data is too
Autor:
Matthias Ivantsits, Boris Pfahringer, Markus Huellebrand, Lars Walczak, Lennart Tautz, Olena Nemchyna, Serdar Akansel, Jörg Kempfert, Simon Sündermann, Anja Hennemuth
Publikováno v:
Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers ISBN: 9783031234422
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87a4f3feb0293d65978179b96a093739
https://doi.org/10.1007/978-3-031-23443-9_30
https://doi.org/10.1007/978-3-031-23443-9_30
Autor:
Matthias Ivantsits, Leonid Goubergrits, Jan-Martin Kuhnigk, Markus Huellebrand, Jan Bruening, Tabea Kossen, Boris Pfahringer, Jens Schaller, Andreas Spuler, Titus Kuehne, Yizhuan Jia, Xuesong Li, Suprosanna Shit, Bjoern Menze, Ziyu Su, Jun Ma, Ziwei Nie, Kartik Jain, Yanfei Liu, Yi Lin, Anja Hennemuth
Publikováno v:
Medical image analysis. 77
The Cerebral Aneurysm Detection and Analysis (CADA) challenge was organized to support the development and benchmarking of algorithms for detecting, analyzing, and risk assessment of cerebral aneurysms in X-ray rotational angiography (3DRA) images. 1
Autor:
Andreas Spuler, Jan-Martin Kuhnigk, Markus Huellebrand, Jens Schaller, Boris Pfahringer, Tabea Kossen, Titus Kuehne, Matthias Ivantsits, Jan Brüning, Anja Hennemuth, Leonid Goubergrits
Publikováno v:
Cerebral Aneurysm Detection ISBN: 9783030728618
CADA@MICCAI
CADA@MICCAI
Rupture of an intracranial aneurysm often results in subarachnoid hemorrhage, a life-threatening condition with high mortality and morbidity. The Cerebral Aneurysm Detection and Analysis (CADA) competition was organized to support the development and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e79580a95b809646f7d2796ec4855bcb
https://doi.org/10.1007/978-3-030-72862-5_1
https://doi.org/10.1007/978-3-030-72862-5_1
Autor:
Frederic Schneider, Erwin P. Bottinger, Boris Pfahringer, Matthieu-P. Schapranow, Harry Freitas Da Cruz, Alexander Meyer, Tom Martensen
Publikováno v:
Artificial intelligence in medicine. 111
Despite advances in machine learning-based clinical prediction models, only few of such models are actually deployed in clinical contexts. Among other reasons, this is due to a lack of validation studies. In this paper, we present and discuss the val
Autor:
Boris Pfahringer, Volkmar Falk, Simon H. Sündermann, Jörg Kempfert, Thomas Hofmann, Dina Zverinski, Alexander Meyer, Titus Kuehne, Christof Stamm, Carsten Eickhoff
Publikováno v:
The Lancet. Respiratory medicine. 6(12)
The large amount of clinical signals in intensive care units can easily overwhelm health-care personnel and can lead to treatment delays, suboptimal care, or clinical errors. The aim of this study was to apply deep machine learning methods to predict
Autor:
Frederic Schneider, Boris Pfahringer, Matthieu-P. Schapranow, Harry Freitas da Cruz, Alexander Meyer
Publikováno v:
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Artificial Intelligence in Medicine
Artificial Intelligence in Medicine-17th Conference on Artificial Intelligence in Medicine, AIME 2019, Poznan, Poland, June 26–29, 2019, Proceedings
Artificial Intelligence in Medicine ISBN: 9783030216412
AIME
Lecture Notes in Computer Science-Artificial Intelligence in Medicine
Artificial Intelligence in Medicine-17th Conference on Artificial Intelligence in Medicine, AIME 2019, Poznan, Poland, June 26–29, 2019, Proceedings
Artificial Intelligence in Medicine ISBN: 9783030216412
AIME
The number of machine learning clinical prediction models being published is rising, especially as new fields of application are being explored in medicine. Notwithstanding these advances, only few of such models are actually deployed in clinical con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::859d5469ebb17e0e5af282993e80e6c1