Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Andreas M Bucher"'
Autor:
Yu Chen, Huadan Xue, Zheng-yu Jin, Jie Zhang, Hao Sun, Xuan Wang, Zhu-hua Zhang, Da-ming Zhang, Guang-ming Lu, Zhao-qi Zhang, U Joseph Schoepf, Andreas M Bucher, Christopher D Wolla, Yun Wang
Publikováno v:
PLoS ONE, Vol 8, Iss 11, p e80939 (2013)
BACKGROUND: Our study aims to evaluate the image quality and feasibility of 128-slice dual-energy CTA (DE-CTA) for supra-aortic arteries using reduced amounts of contrast medium (CM). METHODS: A prospective study was performed in 54 patients receivin
Externí odkaz:
https://doaj.org/article/b3a1fc7d0a3c4ff2b8ab15a7e8fbda26
Autor:
Andreas M. Bucher, Adrian Koppold, Mattias Kettner, Sarah Kölzer, Julia Dietz, Eric Frodl, Alexey Surov, Daniel Pinto dos Santos, Thomas J. Vogl, Marcel A. Verhoff, Martin Beeres, Constantin Lux, Sara Heinbuch
Publikováno v:
Bioengineering, Vol 11, Iss 8, p 807 (2024)
Background: The purpose of this study was to establish a standardized structured workflow to compare findings from high-resolution, optimized reconstructions from post-mortem computed tomography (pmCT) with autopsy results in the detection of fractur
Externí odkaz:
https://doaj.org/article/7182cb992f224c388e1160c69b748148
Publikováno v:
Bioengineering, Vol 11, Iss 1, p 21 (2023)
Lung lobe segmentation in chest CT is relevant to a wide range of clinical applications. However, existing segmentation pipelines often exhibit vulnerabilities and performance degradations when applied to external datasets. This is usually attributed
Externí odkaz:
https://doaj.org/article/a04e942713c848999da24b99c0c9abc8
Autor:
Philipp Thoenissen, Andreas M. Bucher, Anja Heselich, Robert Sader, Thomas Vogl, Shahram Ghanaati
Publikováno v:
Journal of Reconstructive Microsurgery Open, Vol 08, Iss 01, Pp e12-e17 (2023)
Objective Tumor resection and reconstruction in patients with oral squamous cell carcinoma often involves free flaps followed by radiation therapy. Volume loss of free flaps is common following transplantation and radiation therapy. Therefore, this s
Externí odkaz:
https://doaj.org/article/18b0404fc27e4c1187243d95c0265b35
Autor:
Nicolas Pfeuffer, Lorenz Baum, Wolfgang Stammer, Benjamin M. Abdel-Karim, Patrick Schramowski, Andreas M. Bucher, Christian Hügel, Gernot Rohde, Kristian Kersting, Oliver Hinz
Publikováno v:
Business & Information Systems Engineering.
The most promising standard machine learning methods can deliver highly accurate classification results, often outperforming standard white-box methods. However, it is hardly possible for humans to fully understand the rationale behind the black-box
Autor:
Paula Louise Piechotta, Saif Afat, David Zopfs, Bernhard C. Meyer, Frank Wacker, Kristina Jakobi, Matthias Pamminger, Vincent Schwarze, Tobias Getzin, Hannes Engel, Sara Christner, Stephanie Gräger, Michael Janisch, Manuela Spurny, Jan B. Hinrichs, Nadja Kocher, Julius F Heidenreich, Malte M Sieren, Timo C Meine, Felix N. Harder, Sebastian Roehrich, Corinna Storz, Philipp Schindler, Marcus Raudner, Lorenz Biggemann, Ebba Dethlefsen, Lea Hitpaß, Mirjam Gerwing, Thomas Werncke, Jan-Peter Grunz, Kristina Ringe, Natascha Platz Batista da Silva, Martina Büttner, Simon Lennartz, Frederico Pedersoli, Andreas M. Bucher, Tawfik Moher Alsady, Markus Kopp, M Wiesmüller, Ole Martin, Danilo Seppelt, Eva Gresser, Jitka Starekova
Publikováno v:
RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 194:272-280
Comparison of puncture deviation and puncture duration between computed tomography (CT)- and C-arm CT (CACT)-guided puncture performed by residents in training (RiT).In a cohort of 25 RiTs enrolled in a research training program either CT- or CACT-gu
Autor:
Ivana Išgum, Anirban Mukhopadhyay, Jelmer M. Wolterink, Andreas M. Bucher, Thomas J. Vogl, Tim Leiner
Publikováno v:
Radiographics, 41(3), 840-857. Radiological Society of North America Inc.
Artificial intelligence techniques involving the use of artificial neural networks-that is, deep learning techniques-are expected to have a major effect on radiology. Some of the most exciting applications of deep learning in radiology make use of ge
Autor:
Jens Kleesiek, Andreas M. Bucher
Publikováno v:
Der Radiologe. 61:52-59
Autor:
Camila González, Christian L. Harder, Amin Ranem, Ricarda Fischbach, Isabel J. Kaltenborn, Armin Dadras, Andreas M. Bucher, Anirban Mukhopadhyay
Publikováno v:
Informatik aktuell ISBN: 9783658369316
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aca0cd33ee0adaaf5579aac29e345f04
https://doi.org/10.1007/978-3-658-36932-3_8
https://doi.org/10.1007/978-3-658-36932-3_8
Autor:
Andreas M. Bucher, Peter J. Wild, Mike Wenzel, Felix K.-H. Chun, Ina Koch, Simon Bernatz, Boris Bodelle, Moritz H. Albrecht, Philipp Mandel, Renate Hammerstingl, L Basten, Yauheniya Zhdanovich, Patrick N. Harter, Nicolas Rosbach, Katrin Bankov, Claudia Döring, Ibrahim Yel, Jörg Ackermann, Thomas J. Vogl, Benjamin Kaltenbach, Kevin Smith, Jens Köllermann
Publikováno v:
European Radiology
Objectives To analyze the performance of radiological assessment categories and quantitative computational analysis of apparent diffusion coefficient (ADC) maps using variant machine learning algorithms to differentiate clinically significant versus