390 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Masaryk UniversityCZ6 papers
- Imperial College LondonGB3 papers
- Technical University of MunichDE3 papers
- TUM KlinikumDE3 papers
- Alberta Machine Intelligence InstituteCA2 papers
- American College of RadiologyUS2 papers
- Aminu Kano Teaching HospitalNG2 papers
- Athinoula A. Martinos Center for Biomedical ImagingUS2 papers
- Baylor College of MedicineUS2 papers
- Brigham and Women's HospitalUS2 papers
- Brno University of TechnologyCZ2 papers
- Case Western Reserve UniversityUS2 papers
6 papers
sMolBoxes: Dataflow Model for Molecular Dynamics Exploration
Pavol Ulbrich, Manuela Waldner, Katarína Furmanová +4
We present sMolBoxes, a dataflow representation for the exploration and analysis of long molecular dynamics (MD) simulations. When MD simulations reach millions of snapshots, a fra…
Federated Learning Enables Big Data for Rare Cancer Boundary Detection
Sarthak Pati, Ujjwal Baid, Brandon Edwards +276
Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally shar…
Assessing Progress of Parkinson s Disease Using Acoustic Analysis of Phonation
Jiri Mekyska, Zoltan Galaz, Zdenek Mzourek +9
This paper deals with a complex acoustic analysis of phonation in patients with Parkinson's disease (PD) with a special focus on estimation of disease progress that is described by…
The Federated Tumor Segmentation (FeTS) Challenge
Sarthak Pati, Ujjwal Baid, Maximilian Zenk +29
This manuscript describes the first challenge on Federated Learning, namely the Federated Tumor Segmentation (FeTS) challenge 2021. International challenges have become the standar…
Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data Segmentation
Martin Kolarik, Radim Burget, Carlos M. Travieso-Gonzalez +1
We present a novel approach of 2D to 3D transfer learning based on mapping pre-trained 2D convolutional neural network weights into planar 3D kernels. The method is validated by th…
Present criteria for prophylactic ICD implantation: Insights from the EU-CERT-ICD (Comparative Effectiveness Research to Assess the Use of Primary ProphylacTic Implantable Cardioverter Defibrillators in EUrope) project
M. Zabel, S. Schlögl, A. Lubinski +45
BACKGROUND. The clinical effectiveness of primary prevention implantable cardioverter defibrillator (ICD) therapy is under debate. It is urgently needed to better identify patients…