Results 11 to 20 of about 147 (87)
Dimension‐independent Markov chain Monte Carlo on the sphere
Scandinavian Journal of Statistics, Volume 50, Issue 4, Page 1818-1858, December 2023., 2023 Abstract We consider Bayesian analysis on high‐dimensional spheres with angular central Gaussian priors. These priors model antipodally symmetric directional data, are easily defined in Hilbert spaces and occur, for instance, in Bayesian density estimation and binary level set inversion.
Han Cheng Lie +3 more
wiley +1 more source
Angewandte Chemie, Volume 135, Issue 38, September 18, 2023., 2023 Unsere Triphosphat‐Pronucleotid‐Strategie ermöglicht das live‐cell imaging von metabolisch markierter zellulärer und viraler DNA. Das Pronucleotid auf der Basis von 2′‐Desoxycytidin ermöglicht den Einbau der schnellen axialen 2‐trans‐Cycloocten‐Gruppe (2TCOa), die zum Repertoire der Diels–Alder‐Reaktion mit inversem Elektronenbedarf (iEDDA) gehört. Das
Vincente T. Sterrenberg +5 more
wiley +1 more source
Video frame interpolation for high dynamic range sequences captured with dual‐exposure sensors
Computer Graphics Forum, Volume 42, Issue 2, Page 119-131, May 2023., 2023 Abstract Video frame interpolation (VFI) enables many important applications such as slow motion playback and frame rate conversion. However, one major challenge in using VFI is accurately handling high dynamic range (HDR) scenes with complex motion.
U. Çoğalan +3 more
wiley +1 more source
Outcomes after allogeneic haematopoietic stem cell transplantation in young adults in Germany
British Journal of Haematology, Volume 201, Issue 2, Page 308-318, April 2023., 2023 Summary Young adults (YA) represent a minority among recipients of allogeneic haematopoietic stem cell transplantation (HSCT). In order to describe the outcome of YA following HSCT in Germany, 9299 patients who were registered with the German Registry for Stem Cell Transplantation were included in this retrospective analysis of the years 1998–2019. The
Jochen J. Frietsch +9 more
wiley +1 more source
Analysing cerebrospinal fluid with explainable deep learning: From diagnostics to insights
Neuropathology and Applied Neurobiology, Volume 49, Issue 1, February 2023., 2023 We developed a deep learning‐based image analysis approach for the classification of cerebrospinal fluid cells. The convolutional neural network was able to identify 15 diagnostically relevant categories and performed equally good in assigning the correct diagnostic label compared to seven neuropathologists.
Leonille Schweizer +19 more
wiley +1 more source
Learning Image Fractals Using Chaotic Differentiable Point Splatting
Computer Graphics Forum, Volume 44, Issue 2, May 2025.Abstract Fractal geometry, defined by self‐similar patterns across scales, is crucial for understanding natural structures. This work addresses the fractal inverse problem, which involves extracting fractal codes from images to explain these patterns and synthesize them at arbitrary finer scales.
A. Djeacoumar +3 more
wiley +1 more source
Bracket Diffusion: HDR Image Generation by Consistent LDR Denoising
Computer Graphics Forum, Volume 44, Issue 2, May 2025.Abstract We demonstrate generating HDR images using the concerted action of multiple black‐box, pre‐trained LDR image diffusion models. Common diffusion models are not HDR as, first, there is no sufficiently large HDR image dataset available to re‐train them, and, second, even if it was, re‐training such models is impossible for most compute budgets ...
M. Bemana +4 more
wiley +1 more source
Advanced Engineering Materials, Volume 27, Issue 8, April 2025.This manuscript presents advances in digital transformation within materials science and engineering, emphasizing the role of the MaterialDigital Initiative. By testing and applying concepts such as ontologies, knowledge graphs, and integrated workflows, it promotes semantic interoperability and data‐driven innovation. The article reviews collaborative
Bernd Bayerlein +44 more
wiley +1 more source
KupferDigital: Ontology‐Based Digital Representation for the Copper Life Cycle
Advanced Engineering Materials, Volume 27, Issue 8, April 2025.It is demonstrated how data from different stages in the life cycle of a copper product can be stored in an ontology‐based data space. In order to showcase the methods and tools used in the project, four use cases are presented that show how data from different sources can be semantically described and queried from a shared data space.
Miriam Eisenbart +18 more
wiley +1 more source
StahlDigital: Ontology‐Based Workflows for the Steel Industry
Advanced Engineering Materials, Volume 27, Issue 8, April 2025.The strength of the steel industry is based on the mastery of microstructure–property relationships. Digital workflows contribute to this aim by making the complexity of workflows reproducible and their execution user independent. The tools and workflows developed in the project StahlDigital as part of the German MaterialDigital initiative are ...
Franz Roters +18 more
wiley +1 more source