Progression Models for Imaging Data with Longitudinal Variational Auto Encoders

von Sauty, Benoît
Veröffentlicht in International Conference on Medical Image Computing and Computer Assisted Intervention (25. : 2022 : Singapur; Online) Medical image computing and computer assisted intervention - MICCAI 2022 ; Part 1 (2022)

Mixture Modeling for Identifying Subtypes in Disease Course Mapping

von Poulet, Pierre-Emmanuel
Veröffentlicht in IPMI (27. : 2021 : Online) Information processing in medical imaging (2021)

Longitudinal Self-supervision to Disentangle Inter-patient Variability from Disease Progression

von Couronné, Raphaël
Veröffentlicht in MICCAI (24. : 2021 : Online) Medical image computing and computer assisted intervention - MICCAI 2021 ; Part 2 (2021)

Learning Joint Shape and Appearance Representations with Metamorphic Auto-Encoders

von Bône, Alexandre
Veröffentlicht in MICCAI (23. : 2020 : Online) Medical image computing and computer assisted intervention - MICCAI 2020 ; Part 1 (2020)

Spatio-temporal image analysis for longitudinal and time-series image data : second international workshop, STIA 2012, held in conjunction with MICCAI 2012, Nice, France, October...

Veröffentlicht 2012

Learning Riemannian metric for disease progression modeling

von Gruffaz, Samuel
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 28 of 36 (2022)

Biomedical image registration : 8th International Workshop, WBIR 2018, Leiden, The Netherlands, June 28-29, 2018 : proceedings

Veröffentlicht 2018

Spatio-temporal image analysis for longitudinal and time-series image data : second international workshop, STIA 2014, held in conjunction with MICCAI 2014, Boston, MA, USA, Sept...

Veröffentlicht 2015

Multimodal brain image analysis and mathematical foundations of computational anatomy : 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, held in...

Veröffentlicht 2019