activity
20172020
most citedFrangi-Net: A Neural Network Approach to Vessel Segmentation

14 citations · 31 across the 6 of their papers we have counts for

collaborators

9 papers

eess.IV20208 cited

2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual Network

Haoyu Wei, Florian Schiffers, Tobias Würfl +4

Computed tomography is widely used to examine internal structures in a non-destructive manner. To obtain high-quality reconstructions, one typically has to acquire a densely sample…

eess.IV20201 cited

Disassemblable Fieldwork CT Scanner Using a 3D-printed Calibration Phantom

Florian Schiffers, Thomas Bochynek, Andre Aichert +3

The use of computed tomography (CT) imaging has become of increasing interest to academic areas outside of the field of medical imaging and industrial inspection, e.g., to biology…

cs.CV20202 cited

Reconstruction of Voxels with Position- and Angle-Dependent Weightings

Lina Felsner, Tobias Würfl, Christopher Syben +4

The reconstruction problem of voxels with individual weightings can be modeled a position- and angle- dependent function in the forward-projection. This changes the system matrix a…

eess.IV2019

Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance Imaging

Bernhard Stimpel, Christopher Syben, Tobias Würfl +4

Hybrid X-ray and magnetic resonance (MR) imaging promises large potential in interventional medical imaging applications due to the broad variety of contrast of MRI combined with f…

cs.LG20196 cited

The TCGA Meta-Dataset Clinical Benchmark

Mandana Samiei, Tobias Würfl, Tristan Deleu +6

Machine learning is bringing a paradigm shift to healthcare by changing the process of disease diagnosis and prognosis in clinics and hospitals. This development equips doctors and…

cs.LG2019

Torchmeta: A Meta-Learning library for PyTorch

Tristan Deleu, Tobias Würfl, Mandana Samiei +2

The constant introduction of standardized benchmarks in the literature has helped accelerating the recent advances in meta-learning research. They offer a way to get a fair compari…