215 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- RWTH Aachen UniversityDE16 papers
- Technical University of MunichDE6 papers
- Else Kröner Fresenius Center for Digital HealthDE5 papers
- Heidelberg UniversityDE5 papers
- University Hospital HeidelbergDE5 papers
- National Center for Tumor DiseasesDE4 papers
- Charité - Universitätsmedizin BerlinDE3 papers
- Humboldt-Universität zu BerlinDE3 papers
- Imperial College LondonGB3 papers
- TUM KlinikumDE3 papers
- University Hospital Carl Gustav CarusDE3 papers
- Deutsches Herzzentrum MünchenDE2 papers
5 papers · 1 filter
Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2
Gustav Müller-Franzes, Firas Khader, Robert Siepmann +4
MRI and CT are essential clinical cross-sectional imaging techniques for diagnosing complex conditions. However, large 3D datasets with annotations for deep learning are scarce. Wh…
The need to implement FAIR principles in biomolecular simulations
Rommie Amaro, Johan Åqvist, Ivet Bahar +125
This letter illustrates the opinion of the molecular dynamics (MD) community on the need to adopt a new FAIR paradigm for the use of molecular simulations. It highlights the necess…
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…
Process-Aware Analysis of Treatment Paths in Heart Failure Patients: A Case Study
Harry H. Beyel, Marlo Verket, Viki Peeva +5
Process mining in healthcare presents a range of challenges when working with different types of data within the healthcare domain. There is high diversity considering the variety…
Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images
Johannes Raufeisen, Kunpeng Xie, Fabian Hörst +9
Background: Cell segmentation in bright-field histological slides is a crucial topic in medical image analysis. Having access to accurate segmentation allows researchers to examine…