176 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of AugsburgDE5 papers
- Ludwig-Maximilians-Universität MünchenDE4 papers
- Technical University of MunichDE4 papers
- Charité - Universitätsmedizin BerlinDE3 papers
- German Cancer Research CenterDE3 papers
- Imperial College LondonGB3 papers
- Munich Center for Machine Learning3 papers
- TUM KlinikumDE3 papers
- University Medical Center FreiburgDE3 papers
- University of FreiburgDE3 papers
- Friedrich-Alexander-Universität Erlangen-NürnbergDE2 papers
- Heidelberg UniversityDE2 papers
5 papers · 1 filter
Sustained Vowels for Pre- vs Post-Treatment COPD Classification
Andreas Triantafyllopoulos, Anton Batliner, Wolfgang Mayr +6
Chronic obstructive pulmonary disease (COPD) is a serious inflammatory lung disease affecting millions of people around the world. Due to an obstructed airflow from the lungs, it a…
MRSegmentator: Multi-Modality Segmentation of 40 Classes in MRI and CT
Hartmut Häntze, Lina Xu, Christian J. Mertens +29
Purpose: To develop and evaluate a deep learning model for multi-organ segmentation of MRI scans. Materials and Methods: The model was trained on 1,200 manually annotated 3D axial…
SPINEPS -- Automatic Whole Spine Segmentation of T2-weighted MR images using a Two-Phase Approach to Multi-class Semantic and Instance Segmentation
Hendrik Möller, Robert Graf, Joachim Schmitt +16
Purpose. To present SPINEPS, an open-source deep learning approach for semantic and instance segmentation of 14 spinal structures (ten vertebra substructures, intervertebral discs,…
To tweak or not to tweak. How exploiting flexibilities in gene set analysis leads to over-optimism
Milena Wünsch, Christina Sauer, Moritz Herrmann +2
Gene set analysis, a popular approach for analysing high-throughput gene expression data, aims to identify sets of genes that show enriched expression patterns between two conditio…
Addressing researcher degrees of freedom through minP adjustment
Maximilian M Mandl, Andrea S Becker-Pennrich, Ludwig C Hinske +2
When different researchers study the same research question using the same dataset they may obtain different and potentially even conflicting results. This is because there is ofte…