1 code implementation • 17 Aug 2022 • Sam Ellis, Octavio E. Martinez Manzanera, Vasileios Baltatzis, Ibrahim Nawaz, Arjun Nair, Loïc le Folgoc, Sujal Desai, Ben Glocker, Julia A. Schnabel
This makes high-quality GANs useful for unsupervised anomaly detection in medical imaging.
1 code implementation • CVPR 2022 • Daniel Grzech, Mohammad Farid Azampour, Ben Glocker, Julia Schnabel, Nassir Navab, Bernhard Kainz, Loïc le Folgoc
We propose a novel variational Bayesian formulation for diffeomorphic non-rigid registration of medical images, which learns in an unsupervised way a data-specific similarity metric.
1 code implementation • 25 Oct 2021 • Daniel Grzech, Mohammad Farid Azampour, Huaqi Qiu, Ben Glocker, Bernhard Kainz, Loïc le Folgoc
We develop a new Bayesian model for non-rigid registration of three-dimensional medical images, with a focus on uncertainty quantification.
1 code implementation • NeurIPS 2020 • Miguel Monteiro, Loïc le Folgoc, Daniel Coelho de Castro, Nick Pawlowski, Bernardo Marques, Konstantinos Kamnitsas, Mark van der Wilk, Ben Glocker
In image segmentation, there is often more than one plausible solution for a given input.
no code implementations • 5 Mar 2019 • Daniel Grzech, Loïc le Folgoc, Mattias P. Heinrich, Bishesh Khanal, Jakub Moll, Julia A. Schnabel, Ben Glocker, Bernhard Kainz
We present an implementation of a new approach to diffeomorphic non-rigid registration of medical images.