no code implementations • 9 Mar 2023 • Georgia Kenyon, Stephan Lau, Michael A. Chappell, Mark Jenkinson
Due to the absence of open-source tools, we aim to develop a classical segmentation method that generates vessel ground truth from Magnetic Resonance Angiography for DL training of segmentation across a variety of modalities.
no code implementations • 25 Jan 2022 • Gerard Snaauw, Michele Sasdelli, Gabriel Maicas, Stephan Lau, Johan Verjans, Mark Jenkinson, Gustavo Carneiro
We propose guiding the training of a deep learning-based registration method with MI estimation between an image-pair in an end-to-end trainable network.