1 code implementation • 9 Jul 2020 • Anna Volokitin, Ertunc Erdil, Neerav Karani, Kerem Can Tezcan, Xiaoran Chen, Luc van Gool, Ender Konukoglu
We propose a method to model 3D MR brain volumes distribution by combining a 2D slice VAE with a Gaussian model that captures the relationships between slices.
no code implementations • 30 Apr 2020 • Xiaoran Chen, Suhang You, Kerem Can Tezcan, Ender Konukoglu
In this work, we approach unsupervised lesion detection as an image restoration problem and propose a probabilistic model that uses a network-based prior as the normative distribution and detect lesions pixel-wise using MAP estimation.
no code implementations • CVPR 2019 • Yuhua Chen, Wen Li, Xiaoran Chen, Luc van Gool
In this work, we take the advantage of additional geometric information from synthetic data, a powerful yet largely neglected cue, to bridge the domain gap.
no code implementations • 14 Jun 2018 • Xiaoran Chen, Nick Pawlowski, Martin Rajchl, Ben Glocker, Ender Konukoglu
In this paper, we explore the feasibility of using state-of-the-art auto-encoder-based deep generative models, such as variational and adversarial auto-encoders, for one such task: abnormality detection in medical imaging.
1 code implementation • 13 Jun 2018 • Xiaoran Chen, Ender Konukoglu
Lesion detection in brain Magnetic Resonance Images (MRI) remains a challenging task.