Zobrazeno 1 - 10
of 212
pro vyhledávání: '"Kovács, Bálint"'
Autor:
Rokuss, Maximilian, Kirchhoff, Yannick, Roy, Saikat, Kovacs, Balint, Ulrich, Constantin, Wald, Tassilo, Zenk, Maximilian, Denner, Stefan, Isensee, Fabian, Vollmuth, Philipp, Kleesiek, Jens, Maier-Hein, Klaus
Accurate segmentation of Multiple Sclerosis (MS) lesions in longitudinal MRI scans is crucial for monitoring disease progression and treatment efficacy. Although changes across time are taken into account when assessing images in clinical practice, m
Externí odkaz:
http://arxiv.org/abs/2409.13416
Autor:
Kovacs, Balint, Xiao, Shuhan, Rokuss, Maximilian, Ulrich, Constantin, Isensee, Fabian, Maier-Hein, Klaus H.
The third autoPET challenge introduced a new data-centric task this year, shifting the focus from model development to improving metastatic lesion segmentation on PET/CT images through data quality and handling strategies. In response, we developed t
Externí odkaz:
http://arxiv.org/abs/2409.10120
Autor:
Rokuss, Maximilian, Kovacs, Balint, Kirchhoff, Yannick, Xiao, Shuhan, Ulrich, Constantin, Maier-Hein, Klaus H., Isensee, Fabian
Automated lesion segmentation in PET/CT scans is crucial for improving clinical workflows and advancing cancer diagnostics. However, the task is challenging due to physiological variability, different tracers used in PET imaging, and diverse imaging
Externí odkaz:
http://arxiv.org/abs/2409.09478
Autor:
Krishnaswamy, Deepa, Kovács, Bálint, Denner, Stefan, Pieper, Steve, Clunie, David, Bridge, Christopher P., Kapur, Tina, Maier-Hein, Klaus H., Fedorov, Andrey
With the wealth of medical image data, efficient curation is essential. Assigning the sequence type to magnetic resonance images is necessary for scientific studies and artificial intelligence-based analysis. However, incomplete or missing metadata p
Externí odkaz:
http://arxiv.org/abs/2404.10892
Autor:
Kirchhoff, Yannick, Rokuss, Maximilian R., Roy, Saikat, Kovacs, Balint, Ulrich, Constantin, Wald, Tassilo, Zenk, Maximilian, Vollmuth, Philipp, Kleesiek, Jens, Isensee, Fabian, Maier-Hein, Klaus
Accurately segmenting thin tubular structures, such as vessels, nerves, roads or concrete cracks, is a crucial task in computer vision. Standard deep learning-based segmentation loss functions, such as Dice or Cross-Entropy, focus on volumetric overl
Externí odkaz:
http://arxiv.org/abs/2404.03010
Autor:
Kovacs, Balint, Netzer, Nils, Baumgartner, Michael, Eith, Carolin, Bounias, Dimitrios, Meinzer, Clara, Jaeger, Paul F., Zhang, Kevin S., Floca, Ralf, Schrader, Adrian, Isensee, Fabian, Gnirs, Regula, Goertz, Magdalena, Schuetz, Viktoria, Stenzinger, Albrecht, Hohenfellner, Markus, Schlemmer, Heinz-Peter, Wolf, Ivo, Bonekamp, David, Maier-Hein, Klaus H.
Data augmentation (DA) is a key factor in medical image analysis, such as in prostate cancer (PCa) detection on magnetic resonance images. State-of-the-art computer-aided diagnosis systems still rely on simplistic spatial transformations to preserve
Externí odkaz:
http://arxiv.org/abs/2309.03652
Autor:
Yang Song, Xuanzhen Cen, Dong Sun, Kovács Bálint, Yan Wang, Hairong Chen, Shunxiang Gao, István Bíró, Ming Zhang, Yaodong Gu
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract Using a curved carbon-fiber plate (CFP) in running shoes may offer notable performance benefit over flat plates, yet there is a lack of research exploring the influence of CFP geometry on internal foot loading during running. The objective o
Externí odkaz:
https://doaj.org/article/e54a9da68c784fffbad6575074d8c352
Publikováno v:
In Heliyon August 2023 9(8)
Publikováno v:
Frontiers in Physiology, Vol 14 (2023)
Background: During competition and training, exercises involving the lungs may occur throughout the sport, and fatigue is a major injury risk factor in sport, before and after fatigue studies of changes in the lungs are relatively sparse. This study
Externí odkaz:
https://doaj.org/article/f556cca94b164e67b2e1b17dd0222079
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