469 citations
- Heidelberg UniversityDE27 papers
- German Cancer Research CenterDE21 papers
- University Hospital HeidelbergDE9 papers
- Imperial College LondonGB5 papers
- National Center for Tumor DiseasesDE5 papers
- Goethe University FrankfurtDE4 papers
- Heidelberg Institute for Theoretical StudiesDE4 papers
- Radboud University Medical CenterNL4 papers
- Radboud University NijmegenNL4 papers
- Universität HamburgDE4 papers
- University College LondonGB4 papers
- University of BernCH4 papers
31 papers
Pitfalls of Conformal Predictions for Medical Image Classification
Hendrik Mehrtens, Tabea Bucher, Titus J. Brinker
Reliable uncertainty estimation is one of the major challenges for medical classification tasks. While many approaches have been proposed, recently the statistical framework of con…
An ion treatment planning framework for inclusion of nanodosimetric ionization detail through cluster dose
Simona Facchiano, Ramon Ortiz, Remo Cristoforetti +4
Nanodosimetry relates Ionization Detail (ID) and ionization parameters (Ip) to biological endpoints relevant for charged-particle radiotherapy. This supports a more physics-based m…
Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge
Vladyslav Zalevskyi, Thomas Sanchez, Misha Kaandorp +67
Accurate fetal brain tissue segmentation and biometric analysis are essential for studying brain development in utero. The FeTA Challenge 2024 advanced automated fetal brain MRI an…
SynthRAD2025 Grand Challenge dataset: generating synthetic CTs for radiotherapy
Adrian Thummerer, Erik van der Bijl, Arthur Jr Galapon +16
Medical imaging is essential in modern radiotherapy, supporting diagnosis, treatment planning, and monitoring. Synthetic imaging, particularly synthetic computed tomography (sCT),…
In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review
Amelia Jiménez-Sánchez, Natalia-Rozalia Avlona, Sarah de Boer +26
Datasets play a critical role in medical imaging research, yet issues such as label quality, shortcuts, and metadata are often overlooked. This lack of attention may harm the gener…
Cluster-based human-in-the-loop strategy for improving machine learning-based circulating tumor cell detection in liquid biopsy
Hümeyra Husseini-Wüsthoff, Sabine Riethdorf, Andreas Schneeweiss +5
Detection and differentiation of circulating tumor cells (CTCs) and non-CTCs in blood draws of cancer patients pose multiple challenges. While the gold standard relies on tedious m…