collaborators

10 papers

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

US-X Complete: A Multi-Modal Approach to Anatomical 3D Shape Recovery

Miruna-Alexandra Gafencu, Yordanka Velikova, Nassir Navab +1

Ultrasound offers a radiation-free, cost-effective solution for real-time visualization of spinal landmarks, paraspinal soft tissues and neurovascular structures, making it valuabl…

physics.med-ph2025

UltraScatter: Ray-Based Simulation of Ultrasound Scattering

Felix Duelmer, Mohammad Farid Azampour, Nassir Navab

Traditional ultrasound simulation methods solve wave equations numerically, achieving high accuracy but at substantial computational cost. Faster alternatives based on convolution…

cs.CV2025

UltrON: Ultrasound Occupancy Networks

Magdalena Wysocki, Felix Duelmer, Ananya Bal +2

In free-hand ultrasound imaging, sonographers rely on expertise to mentally integrate partial 2D views into 3D anatomical shapes. Shape reconstruction can assist clinicians in this…