87 citations
- National Center for Tumor DiseasesDE11 papers
- University Hospital Carl Gustav CarusDE8 papers
- Heidelberg UniversityDE7 papers
- German Cancer Research CenterDE5 papers
- University Hospital HeidelbergDE5 papers
- Helmholtz-Zentrum Dresden-RossendorfDE4 papers
- Chinese University of Hong KongHK3 papers
- Technische Universität DresdenDE3 papers
- University College LondonGB3 papers
- University Hospital RegensburgDE3 papers
- Centre for Tactile Internet with Human-in-the-LoopDE2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
14 papers
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…
Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge
Tobias Rueckert, David Rauber, Raphaela Maerkl +58
Reliable recognition and localization of surgical instruments in endoscopic video recordings are foundational for a wide range of applications in computer- and robot-assisted minim…
From zero to figure hero. A checklist for designing scientific data visualizations
Helena Klara Jambor
Biological research spans scales and methodologies, generating complex data visualizations such as images, text, numbers, networks, and maps. With increasingly large and multimodal…
Image segmentation of treated and untreated tumor spheroids by Fully Convolutional Networks
Matthias Streller, Soňa Michlíková, Willy Ciecior +4
Multicellular tumor spheroids (MCTS) are advanced cell culture systems for assessing the impact of combinatorial radio(chemo)therapy. They exhibit therapeutically relevant in-vivo-…
Clinical Melanoma Diagnosis with Artificial Intelligence: Insights from a Prospective Multicenter Study
Lukas Heinlein, Roman C. Maron, Achim Hekler +27
Early detection of melanoma, a potentially lethal type of skin cancer with high prevalence worldwide, improves patient prognosis. In retrospective studies, artificial intelligence…
Generalized, sublethal damage-based mathematical approach for improved modeling of clonogenic survival curve flattening upon hyperthermia, radiotherapy, and beyond
Adriana M. De Mendoza, Soňa Michlíková, Paula S. Castro +4
Mathematical modeling can offer valuable insights into the behavior of biological systems upon treatment. Different mathematical models have been designed to predict the efficacy o…