1.4k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Radboud University Medical CenterNL11 papers
- Radboud University NijmegenNL11 papers
- RWTH Aachen UniversityDE11 papers
- Charité - Universitätsmedizin BerlinDE7 papers
- University of BremenDE7 papers
- University of LübeckDE7 papers
- German Cancer Research CenterDE6 papers
- Heidelberg UniversityDE6 papers
- Brigham and Women's HospitalUS5 papers
- Harvard UniversityUS5 papers
- University Hospital HeidelbergDE5 papers
- Freie Universität BerlinDE4 papers
5 papers · 1 filter
Evaluating Generic Auto-ML Tools for Computational Pathology
Lars Ole Schwen, Daniela Schacherer, Christian Geißler +1
Image analysis tasks in computational pathology are commonly solved using convolutional neural networks (CNNs). The selection of a suitable CNN architecture and hyperparameters is…
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions
Eike Petersen, Yannik Potdevin, Esfandiar Mohammadi +8
Machine learning is expected to fuel significant improvements in medical care. To ensure that fundamental principles such as beneficence, respect for human autonomy, prevention of…
The Medical Segmentation Decathlon
Michela Antonelli, Annika Reinke, Spyridon Bakas +55
International challenges have become the de facto standard for comparative assessment of image analysis algorithms given a specific task. Segmentation is so far the most widely inv…
Comparison of Consecutive and Re-stained Sections for Image Registration in Histopathology
Johannes Lotz, Nick Weiss, Jeroen van der Laak +1
Purpose: In digital histopathology, virtual multi-staining is important for diagnosis and biomarker research. Additionally, it provides accurate ground-truth for various deep-learn…
Improving Magnetic Resonance Imaging with Smart and Thin Metasurfaces
Endri Stoja, Simon Konstandin, Dennis Philipp +6
Over almost five decades of development and improvement, Magnetic Resonance Imaging (MRI) has become a rich and powerful, non-invasive technique in medical imaging, yet not reachin…