97 citations
- University of BaselCH5 papers
- Synchrotron SOLEILFR2 papers
- Christian Health Association of MalawiMW1 paper
- École Nationale d'Administration de MadagascarMG1 paper
- ETH ZurichCH1 paper
- Foshan UniversityCN1 paper
- Friedrich-Alexander-Universität Erlangen-NürnbergDE1 paper
- Gamal Abdel Nasser University of ConakryGN1 paper
- Gazi UniversityTR1 paper
- German Cancer Research CenterDE1 paper
- German Centre for Cardiovascular ResearchDE1 paper
- Heidelberg UniversityDE1 paper
11 papers
VQ-Wave: A physics-driven spatio-temporal deep learning approach for non-contrast-enhanced lung ventilation and perfusion MRI
Grzegorz Bauman, Pavlos Panos, Philipp Latzin +1
Purpose: To develop a robust deep learning framework for non-contrast-enhanced functional lung MRI, overcoming the limitations of spectral decomposition in the presence of physiolo…
In search of truth: Evaluating concordance of AI-based anatomy segmentation models
Lena Giebeler, Deepa Krishnaswamy, David Clunie +9
Purpose AI-based methods for anatomy segmentation can help automate characterization of large imaging datasets. The growing number of similar in functionality models raises the cha…
OCELOT 2023: Cell Detection from Cell-Tissue Interaction Challenge
JaeWoong Shin, Jeongun Ryu, Aaron Valero Puche +21
Pathologists routinely alternate between different magnifications when examining Whole-Slide Images, allowing them to evaluate both broad tissue morphology and intricate cellular d…
PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa
Philippe Gottfrois, Fabian Gröger, Faly Herizo Andriambololoniaina +13
Africa faces a huge shortage of dermatologists, with less than one per million people. This is in stark contrast to the high demand for dermatologic care, with 80% of the paediatri…
DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images
Michael Götz, Christian Weber, Franciszek Binczyk +7
We propose a new method that employs transfer learning techniques to effectively correct sampling selection errors introduced by sparse annotations during supervised learning for a…
Three-dimensional imaging of porcine joint tissues down to the subcellular level
Georg Schulz, Andrea Barbero, Francine Wolf +7
Joint tissues consist of trabecular and cortical bone as well as calcified and hyaline cartilage, which presents a challenge for hard X-ray-based visualization on the sub-cellular…