← Back to papers

2024 MIDL MIDL 2024

SepVAE: a contrastive VAE to separate pathological patterns from healthy ones

Authors

Robin Louiset , Edouard Duchesnay , Grigis Antoine , Benoit Dufumier , Pietro Gori

Related papers

Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training 2024

HoVer-NeXt: A Fast Nuclei Segmentation and Classification Pipeline for Next Generation Histopathology 2024

Network conditioning for synergistic learning on partial annotations 2024

Real-time MR-based 3D motion monitoring using raw k-space data 2024

Target and task specific source-free domain adaptive image segmentation 2024