4.2k citations
- Technische Universität DresdenDE29 papers
- Helmholtz-Zentrum Dresden-RossendorfDE20 papers
- German Cancer Research CenterDE19 papers
- National Center for Tumor DiseasesDE19 papers
- Heidelberg UniversityDE17 papers
- OncoRayDE14 papers
- University Hospital HeidelbergDE14 papers
- Nationales Centrum für Tumorerkrankungen DresdenDE12 papers
- Else Kröner Fresenius Center for Digital HealthDE11 papers
- RWTH Aachen UniversityDE7 papers
- Deutsches Konsortium für Translationale KrebsforschungDE4 papers
- German Cancer Consortium (DKTK) DresdenDE4 papers
51 papers
Point Cloud Segmentation for Autonomous Clip Positioning in Laparoscopic Cholecystectomy on a Phantom
Balázs Gyenes, Nikolai Franke, Paul Maria Scheikl +5
High-risk applications in robotics, such as robot-assisted surgery, present unique challenges. These systems must be both highly precise and interpretable in order to be deployed i…
Quantifying the human visual exposome with vision language models
Christian Rominger, Andreas R. Schwerdtfeger, Malay Gaherwar Singh +5
The visual environment is a fundamental yet unquantified determinant of mental health. While the concept of the environmental exposome is well established, current methods rely on…
Gut decisions based on the liver: A radiomics approach to boost colorectal cancer screening
Anna Hinterberger, Jonas Bohn, Dasha Trofimova +13
Non-invasive colorectal cancer (CRC) screening represents a key opportunity to improve colonoscopy participation rates and reduce CRC mortality. This study explores the potential o…
Hallucination Filtering in Radiology Vision-Language Models Using Discrete Semantic Entropy
Patrick Wienholt, Sophie Caselitz, Robert Siepmann +6
To determine whether using discrete semantic entropy (DSE) to reject questions likely to generate hallucinations can improve the accuracy of black-box vision-language models (VLMs)…
Federated Learning for Surgical Vision in Appendicitis Classification: Results of the FedSurg EndoVis 2024 Challenge
Max Kirchner, Hanna Hoffmann, Alexander C. Jenke +16
Developing generalizable surgical AI requires multi-institutional data, yet privacy constraints preclude direct data sharing, making Federated Learning (FL) a natural candidate. It…
Measurements of molecular size and shape on a chip
Xin Zhu, Timothy JD Bennett, Konstantin C Zouboulis +6
Size and shape are critical discriminators between molecular species and states. We describe a micro-chip based high-throughput imaging approach offering rapid and precise determin…