60 citations · 75 across the 4 of their papers we have counts for
4 papers
Exploring Adult Glioma through MRI: A Review of Publicly Available Datasets to Guide Efficient Image Analysis
Meryem Abbad Andaloussi, Raphael Maser, Frank Hertel +2
Publicly available data is essential for the progress of medical image analysis, in particular for crafting machine learning models. Glioma is the most common group of primary brai…
DBSegment: Fast and robust segmentation of deep brain structures -- Evaluation of transportability across acquisition domains
Mehri Baniasadi, Mikkel V. Petersen, Jorge Goncalves +4
Segmenting deep brain structures from magnetic resonance images is important for patient diagnosis, surgical planning, and research. Most current state-of-the-art solutions follow…
On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets
Beatriz Garcia Santa Cruz, Jan Sölter, Matias Nicolas Bossa +1
Machine learning based methods for diagnosis and progression prediction of COVID-19 from imaging data have gained significant attention in the last months, in particular by the use…
A Solution for Multi-Alignment by Transformation Synchronisation
Florian Bernard, Johan Thunberg, Peter Gemmar +3
The alignment of a set of objects by means of transformations plays an important role in computer vision. Whilst the case for only two objects can be solved globally, when multiple…