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
A structured L-BFGS method and its application to inverse problems
Florian Mannel, Hari Om Aggrawal, Jan Modersitzki
Many inverse problems are phrased as optimization problems in which the objective function is the sum of a data-fidelity term and a regularization. Often, the Hessian of the fideli…
Digitization of Pathology Labs: A Review of Lessons Learned
Lars Ole Schwen, Tim-Rasmus Kiehl, Rita Carvalho +2
Pathology laboratories are increasingly using digital workflows. This has the potential of increasing lab efficiency, but the digitization process also involves major challenges. S…
The NCI Imaging Data Commons as a platform for reproducible research in computational pathology
Daniela P. Schacherer, Markus D. Herrmann, David A. Clunie +7
Background and Objectives: Reproducibility is a major challenge in developing machine learning (ML)-based solutions in computational pathology (CompPath). The NCI Imaging Data Comm…
Understanding metric-related pitfalls in image analysis validation
Annika Reinke, Minu D. Tizabi, Michael Baumgartner +75
Validation metrics are key for the reliable tracking of scientific progress and for bridging the current chasm between artificial intelligence (AI) research and its translation int…
Improving the Timing Resolution of Positron Emission Tomography Detectors Using Boosted Learning -- A Residual Physics Approach
Stephan Naunheim, Yannick Kuhl, David Schug +2
Artificial intelligence (AI) is entering medical imaging, mainly enhancing image reconstruction. Nevertheless, improvements throughout the entire processing, from signal detection…