33 citations · 33 across the 2 of their papers we have counts for
3 papers
On the Comparison of Classic and Deep Keypoint Detector and Descriptor Methods
Kristijan Bartol, David Bojanić, Tomislav Pribanić +3
The purpose of this study is to give a performance comparison between several classic hand-crafted and deep key-point detector and descriptor methods. In particular, we consider th…
Multiple Sclerosis Lesion Synthesis in MRI using an encoder-decoder U-NET
Mostafa Salem, Sergi Valverde, Mariano Cabezas +5
In this paper, we propose generating synthetic multiple sclerosis (MS) lesions on MRI images with the final aim to improve the performance of supervised machine learning algorithms…
One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks
Sergi Valverde, Mostafa Salem, Mariano Cabezas +7
In recent years, several convolutional neural network (CNN) methods have been proposed for the automated white matter lesion segmentation of multiple sclerosis (MS) patient images,…