16 citations · 20 across the 9 of their papers we have counts for
12 papers
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…
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…
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…
EgoExOR: An Ego-Exo-Centric Operating Room Dataset for Surgical Activity Understanding
Ege Özsoy, Arda Mamur, Felix Tristram +4
Operating rooms (ORs) demand precise coordination among surgeons, nurses, and equipment in a fast-paced, occlusion-heavy environment, necessitating advanced perception models to en…
UltraRay: Introducing Full-Path Ray Tracing in Physics-Based Ultrasound Simulation
Felix Duelmer, Mohammad Farid Azampour, Magdalena Wysocki +1
Traditional ultrasound simulators solve the wave equation to model pressure distribution fields, achieving high accuracy but requiring significant computational time and resources.…
ZAHA: Introducing the Level of Facade Generalization and the Large-Scale Point Cloud Facade Semantic Segmentation Benchmark Dataset
Olaf Wysocki, Yue Tan, Thomas Froech +5
Facade semantic segmentation is a long-standing challenge in photogrammetry and computer vision. Although the last decades have witnessed the influx of facade segmentation methods,…
PHOCUS: Physics-Based Deconvolution for Ultrasound Resolution Enhancement
Felix Duelmer, Walter Simson, Mohammad Farid Azampour +3
Ultrasound is widely used in medical diagnostics allowing for accessible and powerful imaging but suffers from resolution limitations due to diffraction and the finite aperture of…
Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networks
Olaf Wysocki, Yan Xia, Magdalena Wysocki +4
Reconstructing semantic 3D building models at the level of detail (LoD) 3 is a long-standing challenge. Unlike mesh-based models, they require watertight geometry and object-wise s…
Ultra-NeRF: Neural Radiance Fields for Ultrasound Imaging
Magdalena Wysocki, Mohammad Farid Azampour, Christine Eilers +3
We present a physics-enhanced implicit neural representation (INR) for ultrasound (US) imaging that learns tissue properties from overlapping US sweeps. Our proposed method leverag…