47 citations · 105 across the 13 of their papers we have counts for
4 papers · 1 filter
Posterior temperature optimized Bayesian models for inverse problems in medical imaging
Max-Heinrich Laves, Malte Tölle, Alexander Schlaefer +1
We present Posterior Temperature Optimized Bayesian Inverse Models (POTOBIM), an unsupervised Bayesian approach to inverse problems in medical imaging using mean-field variational…
How well do U-Net-based segmentation trained on adult cardiac magnetic resonance imaging data generalise to rare congenital heart diseases for surgical planning?
Sven Koehler, Animesh Tandon, Tarique Hussain +7
Planning the optimal time of intervention for pulmonary valve replacement surgery in patients with the congenital heart disease Tetralogy of Fallot (TOF) is mainly based on ventric…
Towards Augmented Reality-based Suturing in Monocular Laparoscopic Training
Chandrakanth Jayachandran Preetha, Jonathan Kloss, Fabian Siegfried Wehrtmann +5
Minimally Invasive Surgery (MIS) techniques have gained rapid popularity among surgeons since they offer significant clinical benefits including reduced recovery time and diminishe…
Cross-Domain Conditional Generative Adversarial Networks for Stereoscopic Hyperrealism in Surgical Training
Sandy Engelhardt, Lalith Sharan, Matthias Karck +2
Phantoms for surgical training are able to mimic cutting and suturing properties and patient-individual shape of organs, but lack a realistic visual appearance that captures the he…