Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Kelm, Halvar"'
Autor:
Tölle, Malte, Burger, Lukas, Kelm, Halvar, André, Florian, Bannas, Peter, Diller, Gerhard, Frey, Norbert, Garthe, Philipp, Groß, Stefan, Hennemuth, Anja, Kaderali, Lars, Krüger, Nina, Leha, Andreas, Martin, Simon, Meyer, Alexander, Nagel, Eike, Orwat, Stefan, Scherer, Clemens, Seiffert, Moritz, Seliger, Jan Moritz, Simm, Stefan, Friede, Tim, Seidler, Tim, Engelhardt, Sandy
Purpose: Federated training is often hindered by heterogeneous datasets due to divergent data storage options, inconsistent naming schemes, varied annotation procedures, and disparities in label quality. This is particularly evident in the emerging m
Externí odkaz:
http://arxiv.org/abs/2407.09064
Autor:
Tölle, Malte, Garthe, Philipp, Scherer, Clemens, Seliger, Jan Moritz, Leha, Andreas, Krüger, Nina, Simm, Stefan, Martin, Simon, Eble, Sebastian, Kelm, Halvar, Bednorz, Moritz, André, Florian, Bannas, Peter, Diller, Gerhard, Frey, Norbert, Groß, Stefan, Hennemuth, Anja, Kaderali, Lars, Meyer, Alexander, Nagel, Eike, Orwat, Stefan, Seiffert, Moritz, Friede, Tim, Seidler, Tim, Engelhardt, Sandy
Federated learning (FL) is a renowned technique for utilizing decentralized data while preserving privacy. However, real-world applications often involve inherent challenges such as partially labeled datasets, where not all clients possess expert ann
Externí odkaz:
http://arxiv.org/abs/2407.07557
Autor:
Sharan, Lalith, Kelm, Halvar, Romano, Gabriele, Karck, Matthias, De Simone, Raffaele, Engelhardt, Sandy
Publikováno v:
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization (2022) 1-9
Multi-point tracking is a challenging task that involves detecting points in the scene and tracking them across a sequence of frames. Computing detection-based measures like the F-measure on a frame-by-frame basis is not sufficient to assess the over
Externí odkaz:
http://arxiv.org/abs/2206.09372
Autor:
Sharan, Lalith, Romano, Gabriele, Brand, Julian, Kelm, Halvar, Karck, Matthias, De Simone, Raffaele, Engelhardt, Sandy
Publikováno v:
Int J CARS (2021) 1861-6429
Purpose: Mitral valve repair is a complex minimally invasive surgery of the heart valve. In this context, suture detection from endoscopic images is a highly relevant task that provides quantitative information to analyse suturing patterns, assess pr
Externí odkaz:
http://arxiv.org/abs/2111.08468
Autor:
Sharan, Lalith, Romano, Gabriele, Koehler, Sven, Kelm, Halvar, Karck, Matthias, De Simone, Raffaele, Engelhardt, Sandy
The CycleGAN framework allows for unsupervised image-to-image translation of unpaired data. In a scenario of surgical training on a physical surgical simulator, this method can be used to transform endoscopic images of phantoms into images which more
Externí odkaz:
http://arxiv.org/abs/2107.06941
Autor:
Sharan, Lalith, Kelm, Halvar, Romano, Gabriele, Karck, Matthias, De Simone, Raffaele, Engelhardt, Sandy
Publikováno v:
Computer Methods in Biomechanics & Biomedical Engineering: Imaging & Visualisation; Jul2023, Vol. 11 Issue 4, p1281-1289, 9p
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