Zobrazeno 1 - 10
of 8 872
pro vyhledávání: '"A. Stucki"'
Autor:
Stucki, Simon, Ackermann, Philipp
This work presents a web-based, open-source path tracer for rendering physically-based 3D scenes using WebGPU and the OpenPBR surface shading model. While rasterization has been the dominant real-time rendering technique on the web since WebGL's intr
Externí odkaz:
http://arxiv.org/abs/2407.19977
In this work, we propose an efficient algorithm for the calculation of the Betti matching, which can be used as a loss function to train topology aware segmentation networks. Betti matching loss builds on techniques from topological data analysis, sp
Externí odkaz:
http://arxiv.org/abs/2407.04683
Autor:
Berger, Alexander H., Stucki, Nico, Lux, Laurin, Buergin, Vincent, Shit, Suprosanna, Banaszak, Anna, Rueckert, Daniel, Bauer, Ulrich, Paetzold, Johannes C.
Topological accuracy in medical image segmentation is a highly important property for downstream applications such as network analysis and flow modeling in vessels or cell counting. Recently, significant methodological advancements have brought well-
Externí odkaz:
http://arxiv.org/abs/2403.11001
Autor:
Torun, Cem Güney, Gökçe, Mustafa, Bracht, Thomas K., Monsalve, Mariano Isaza, Benbouabdellah, Sarah, Nacitarhan, Özgün Ozan, Stucki, Marco E., Markham, Matthew L., Pieplow, Gregor, Pregnolato, Tommaso, Munns, Joseph H. D., Reiter, Doris E., Schröder, Tim
The coherent excitation of an optically active spin system is one of the key elements in the engineering of a spin-photon interface. In this work, we use the novel SUPER scheme, employing nonresonant ultrashort optical pulses, to coherently control t
Externí odkaz:
http://arxiv.org/abs/2312.05246
Autor:
Pregnolato, Tommaso, Stucki, Marco E., Bopp, Julian M., Hoeven, Maarten H. v. d., Gokhale, Alok, Krüger, Olaf, Schröder, Tim
Color centers in diamond are quantum systems with optically active spin-states that show long coherence times and are therefore a promising candidate for the development of efficient spin-photon interfaces. However, only a small portion of the emitte
Externí odkaz:
http://arxiv.org/abs/2311.03618
Autor:
Ezra Valido, Simona Capossela, Marija Glisic, Anneke Hertig-Godeschalk, Alessandro Bertolo, Gerold Stucki, Joelle Leonie Flueck, Jivko Stoyanov
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Disorders related to gut health are a significant cause of morbidity among athletes in wheelchair. This pilot feasibility trial aims to investigate whether probiotics compared to prebiotics can improve inflammatory status and gut microbiome
Externí odkaz:
https://doaj.org/article/e35d86f66e464e4db4a122968460d9df
Autor:
Estelle Marrer-Berger, Annalisa Nicastri, Angelique Augustin, Vesna Kramar, Hanqing Liao, Lydia Jasmin Hanisch, Alejandro Carpy, Tina Weinzierl, Evelyne Durr, Nathalie Schaub, Ramona Nudischer, Daniela Ortiz-Franyuti, Ekaterina Breous-Nystrom, Janick Stucki, Nina Hobi, Giulia Raggi, Lauriane Cabon, Emmanuelle Lezan, Pablo Umaña, Isaac Woodhouse, Alexander Bujotzek, Christian Klein, Nicola Ternette
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Selective binding of TCR-like antibodies that target a single tumour-specific peptide antigen presented by human leukocyte antigens (HLA) is the absolute prerequisite for their therapeutic suitability and patient safety. To date, selectivity
Externí odkaz:
https://doaj.org/article/1e7a4a6f3006436c814053de1558d191
Image segmentation is a largely researched field where neural networks find vast applications in many facets of technology. Some of the most popular approaches to train segmentation networks employ loss functions optimizing pixel-overlap, an objectiv
Externí odkaz:
http://arxiv.org/abs/2211.15272
Publikováno v:
Proc. ACM Program. Lang. 7(POPL), 2023, 68:1-68:30
This paper proposes a reconciliation of two different theories of information. The first, originally proposed in a lesser-known work by Claude Shannon, describes how the information content of channels can be described qualitatively, but still abstra
Externí odkaz:
http://arxiv.org/abs/2211.10099
Current deep convolutional networks are fixed in their topology. We explore the possibilites of making the convolutional topology a parameter itself by combining NeuroEvolution of Augmenting Topologies (NEAT) with Convolutional Neural Networks (CNNs)
Externí odkaz:
http://arxiv.org/abs/2211.16978