Zobrazeno 1 - 10
of 312
pro vyhledávání: '"Norajitra, P"'
Autor:
Zenk, Maximilian, Zimmerer, David, Isensee, Fabian, Traub, Jeremias, Norajitra, Tobias, Jäger, Paul F., Maier-Hein, Klaus
Semantic segmentation is an essential component of medical image analysis research, with recent deep learning algorithms offering out-of-the-box applicability across diverse datasets. Despite these advancements, segmentation failures remain a signifi
Externí odkaz:
http://arxiv.org/abs/2406.03323
Autor:
Silvia D. Almeida, Tobias Norajitra, Carsten T. Lüth, Tassilo Wald, Vivienn Weru, Marco Nolden, Paul F. Jäger, Oyunbileg von Stackelberg, Claus Peter Heußel, Oliver Weinheimer, Jürgen Biederer, Hans-Ulrich Kauczor, Klaus Maier-Hein
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Objectives To evaluate the performance and potential biases of deep-learning models in detecting chronic obstructive pulmonary disease (COPD) on chest CT scans across different ethnic groups, specifically non-Hispanic White (NHW) and African
Externí odkaz:
https://doaj.org/article/17eb6f898a9946ba803451840828c86c
Autor:
Almeida, Silvia D., Lüth, Carsten T., Norajitra, Tobias, Wald, Tassilo, Nolden, Marco, Jaeger, Paul F., Heussel, Claus P., Biederer, Jürgen, Weinheimer, Oliver, Maier-Hein, Klaus
Classification of heterogeneous diseases is challenging due to their complexity, variability of symptoms and imaging findings. Chronic Obstructive Pulmonary Disease (COPD) is a prime example, being underdiagnosed despite being the third leading cause
Externí odkaz:
http://arxiv.org/abs/2307.07254
Autor:
Ralf Floca, Jonas Bohn, Christian Haux, Benedikt Wiestler, Frank G. Zöllner, Annika Reinke, Jakob Weiß, Marco Nolden, Steffen Albert, Thorsten Persigehl, Tobias Norajitra, Bettina Baeßler, Marc Dewey, Rickmer Braren, Martin Büchert, Eva Maria Fallenberg, Norbert Galldiks, Annika Gerken, Michael Götz, Horst K. Hahn, Johannes Haubold, Tobias Haueise, Nils Große Hokamp, Michael Ingrisch, Andra-Iza Iuga, Marco Janoschke, Matthias Jung, Lena Sophie Kiefer, Philipp Lohmann, Jürgen Machann, Jan Hendrik Moltz, Johanna Nattenmüller, Tobias Nonnenmacher, Benedict Oerther, Ahmed E. Othman, Felix Peisen, Fritz Schick, Lale Umutlu, Barbara D. Wichtmann, Wenzhao Zhao, Svenja Caspers, Heinz-Peter Schlemmer, Christopher L. Schlett, Klaus Maier-Hein, Fabian Bamberg
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Objectives Achieving a consensus on a definition for different aspects of radiomics workflows to support their translation into clinical usage. Furthermore, to assess the perspective of experts on important challenges for a successful clinic
Externí odkaz:
https://doaj.org/article/6a8906e841ea488ea5abe79eaf2c5fc3
Autor:
Silvia D. Almeida, Tobias Norajitra, Carsten T. Lüth, Tassilo Wald, Vivienn Weru, Marco Nolden, Paul F. Jäger, Oyunbileg von Stackelberg, Claus Peter Heußel, Oliver Weinheimer, Jürgen Biederer, Hans-Ulrich Kauczor, Klaus Maier-Hein
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
BackgroundChronic obstructive pulmonary disease (COPD) poses a substantial global health burden, demanding advanced diagnostic tools for early detection and accurate phenotyping. In this line, this study seeks to enhance COPD characterization on ches
Externí odkaz:
https://doaj.org/article/c88046a2438c40248ce492dbdf0f5955
Autor:
Omar Naas, Tobias Norajitra, Christian Lückerath, Matthias A. Fink, Klaus Maier-Hein, Hans-Ulrich Kauczor, Fabian Rengier
Publikováno v:
Diagnostics, Vol 14, Iss 12, p 1301 (2024)
Purpose: To assess the feasibility and diagnostic accuracy of MRI-derived 3D volumetry of lower lumbar vertebrae and dural sac segments using shape-based machine learning for the detection of Marfan syndrome (MFS) compared with dural sac diameter rat
Externí odkaz:
https://doaj.org/article/9837e6e0aab5481582cabc8f3c79bb30
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Autor:
Isensee, Fabian, Petersen, Jens, Klein, Andre, Zimmerer, David, Jaeger, Paul F., Kohl, Simon, Wasserthal, Jakob, Koehler, Gregor, Norajitra, Tobias, Wirkert, Sebastian, Maier-Hein, Klaus H.
The U-Net was presented in 2015. With its straight-forward and successful architecture it quickly evolved to a commonly used benchmark in medical image segmentation. The adaptation of the U-Net to novel problems, however, comprises several degrees of
Externí odkaz:
http://arxiv.org/abs/1809.10486