20 citations · 45 across the 23 of their papers we have counts for
6 papers · 1 filter
Deformable CT-US Registration via Anatomy-Aware Implicit Neural Representations
Agnieszka Lach, Magdalena Wysocki, Feng Li +7
Slice-to-volume registration between ultrasound (US) and preoperative computed tomography (CT) imaging would enhance many minimally invasive interventions, for example by locating…
UltraDiff: Differentiable Ray Tracing in Ultrasound for Shape Optimization
Felix Duelmer, Magdalena Wysocki, Nassir Navab +1
Physically-based differentiable rendering enables gradient-based optimization of scene parameters by matching rendered images to measurements, but has so far mainly focused on ligh…
ZODIAC: Zero-shot Octree-based Diffusion for Anatomical Completion
Miruna-Alexandra Gafencu, Vlad Bratulescu, Yordanka Velikova +2
Recovering the full 3D spine anatomy from intraoperative ultrasound is an ill-posed inverse problem, as the complete structure must be inferred from incomplete and noisy observatio…
Multivariate Gaussian NeRF for Wide Field-of-View Ultrasound Reconstruction
Patris Valera, Magdalena Wysocki, Felix Duelmer +4
Wide Field-of-View (WFoV) reconstruction enhances 3D ultrasound imaging by providing valuable anatomical context for segmentation models and visualization. Clinical ultrasound volu…
UltraG-Ray: Physics-Based Gaussian Ray Casting for Novel Ultrasound View Synthesis
Felix Duelmer, Jakob Klaushofer, Magdalena Wysocki +2
Novel view synthesis (NVS) in ultrasound has gained attention as a technique for generating anatomically plausible views beyond the acquired frames, offering new capabilities for t…
OSCAR: Occupancy-based Shape Completion via Acoustic Neural Implicit Representations
Magdalena Wysocki, Kadir Burak Buldu, Miruna-Alexandra Gafencu +2
Accurate 3D reconstruction of vertebral anatomy from ultrasound is important for guiding minimally invasive spine interventions, but it remains challenging due to acoustic shadowin…