60 citations · 112 across the 4 of their papers we have counts for
5 papers
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…
TreCap: A wearable device to measure and assess tremor data of visually guided hand movements in real time
R. P. Bremm, A. Werle, C. Auer +3
The assessment and treatment of motor symptoms such as tremor in Parkinson's disease depends exclusively on the physician's visual observation of standardised movements (i.e. motor…
Shape-aware Surface Reconstruction from Sparse 3D Point-Clouds
Florian Bernard, Luis Salamanca, Johan Thunberg +7
The reconstruction of an object's shape or surface from a set of 3D points plays an important role in medical image analysis, e.g. in anatomy reconstruction from tomographic measur…
Linear Shape Deformation Models with Local Support Using Graph-based Structured Matrix Factorisation
Florian Bernard, Peter Gemmar, Frank Hertel +2
Representing 3D shape deformations by linear models in high-dimensional space has many applications in computer vision and medical imaging, such as shape-based interpolation or seg…
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…