Flexible Bayesian Modelling for Nonlinear Image Registration

von Brudfors, Mikael
Veröffentlicht in MICCAI (23. : 2020 : Online) Medical image computing and computer assisted intervention - MICCAI 2020 ; Part 3 (2020)

How Can Spherical CNNs Benefit ML-Based Diffusion MRI Parameter Estimation?

von Goodwin-Allcock, Tobias
Veröffentlicht in CDMRI (13. : 2022 : Singapur) Computational diffusion MRI (2022)

FULL-WAVEFORM INVERSION OF TRANSMITTED ULTRASOUND TO IMAGE THE HUMAN BRAIN

von Guasch, Lluis
Veröffentlicht in Society of Exploration Geophysicists (90. : 2020 : Online) 90th Society of Exploration Geophysicists International Exposition and Annual Meeting 2020 ; Volume 5 of 5 (2021)

Fitting Segmentation Networks on Varying Image Resolutions Using Splatting

von Brudfors, Mikael
Veröffentlicht in MIUA (26. : 2022 : Cambridge) Medical image understanding and analysis (2022)

Test-Time Unsupervised Domain Adaptation

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

Learning to Segment When Experts Disagree

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

Hierarchical Brain Parcellation with Uncertainty

von Graham, Mark S.
Veröffentlicht in UNSURE (2. : 2020 : Online) Uncertainty for safe utilization of machine learning in medical imaging, and graphs in biomedical image analysis (2020)

Brain Imaging Generation with Latent Diffusion Models

von Pinaya, Walter H. L.
Veröffentlicht in DGM4MICCAI (2. : 2022 : Singapur; Online) Deep generative models (2022)