From the 1 of 8 papers with an AI index.
12 citations
- Heidelberg UniversityDE8 papers
- German Cancer Research CenterDE3 papers
- National Center for Tumor DiseasesDE3 papers
- Else Kröner Fresenius Center for Digital HealthDE2 papers
- Helmholtz MunichDE2 papers
- RWTH Aachen UniversityDE2 papers
- Technical University of MunichDE2 papers
- AGH University of KrakowPL1 paper
- Athinoula A. Martinos Center for Biomedical ImagingUS1 paper
- Australian National UniversityAU1 paper
- Beijing Academy of Artificial IntelligenceCN1 paper
- Canon (United States)US1 paper
8 papers
The TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography
Kaiyuan Yang, Fabio Musio, Yihui Ma +112
The paper introduces the TopCoW Challenge, a benchmark for automatically segmenting the Circle of Willis in CT and MR angiography using deep learning, and provides a new annotated…
Transformation Behavior of Images in Latent Space
Christian Zöllner, Mozzam Motiwala, Aysel Ahadova +4
Training of neural networks for histopathology classification tasks typically relies on data encoding into latent space, which reduces complexity and improves performance. There ar…
Characterization of a novel plastic scintillation detector for in vivo electron dosimetry
Cornelius J. Bauer, Frank Schneider, Ida D. Göbel +3
Introduction: Real-time dosimetry of surface doses in electron beams has not been widely established yet. Plastic scintillation detectors (PSD) promise high spatial resolution and…
Direct optimization of the probability of lesion origin in proton treatment planning for low-grade glioma patients
Tim Ortkamp, Habiba Sallem, Semi Harrabi +4
In proton therapy of low-grade glioma (LGG) patients, contrast-enhancing brain lesions (CEBLs) on magnetic resonance imaging are considered predictive of late radiation-induced les…
Design for a Digital Twin in Clinical Patient Care
Anna-Katharina Nitschke, Carlos Brandl, Fabian Egersdörfer +3
Digital Twins hold great potential to personalize clinical patient care, provided the concept is translated to meet specific requirements emerging from established clinical workflo…
Clinical application of HEDI for biomechanical evaluation and visualisation in incisional hernia repair
Philipp D. Lösel, Jacob J. Relle, Samuel Voà +7
Background: Abdominal wall defects, such as incisional hernias, are a common source of pain and discomfort and often require repeated surgical interventions. Traditional mesh repai…