97 citations · 106 across the 3 of their papers we have counts for
3 papers
Pre-examinations Improve Automated Metastases Detection on Cranial MRI
Katerina Deike-Hofmann, Dorottya Dancs, Daniel Paech +5
Materials and methods: First, a dual-time approach was assessed, for which the CNN was provided sequences of the MRI that initially depicted new MM (diagnosis MRI) as well as of a…
DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images
Michael Götz, Christian Weber, Franciszek Binczyk +7
We propose a new method that employs transfer learning techniques to effectively correct sampling selection errors introduced by sparse annotations during supervised learning for a…
Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion Segmentation
Michael Götz, Christian Weber, Christoph Kolb +1
In machine learning larger databases are usually associated with higher classification accuracy due to better generalization. This generalization may lead to non-optimal classifier…