333 citations · 1.9k across the 64 of their papers we have counts for
7 papers · 1 filter
Mesh Neural Networks for SE(3)-Equivariant Hemodynamics Estimation on the Artery Wall
Julian Suk, Pim de Haan, Phillip Lippe +2
Computational fluid dynamics (CFD) is a valuable asset for patient-specific cardiovascular-disease diagnosis and prognosis, but its high computational demands hamper its adoption i…
Dynamic Depth-Supervised NeRF for Multi-View RGB-D Operating Room Images
Beerend G. A. Gerats, Jelmer M. Wolterink, Ivo A. M. J. Broeders
The operating room (OR) is an environment of interest for the development of sensing systems, enabling the detection of people, objects, and their semantic relations. Due to freque…
A Comparative Study of Graph Neural Networks for Shape Classification in Neuroimaging
Nairouz Shehata, Wulfie Bain, Ben Glocker
Graph neural networks have emerged as a promising approach for the analysis of non-Euclidean data such as meshes. In medical imaging, mesh-like data plays an important role for mod…
3D Human Pose Estimation in Multi-View Operating Room Videos Using Differentiable Camera Projections
Beerend G. A. Gerats, Jelmer M. Wolterink, Ivo A. M. J. Broeders
3D human pose estimation in multi-view operating room (OR) videos is a relevant asset for person tracking and action recognition. However, the surgical environment makes it challen…
Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling
Dieuwertje Alblas, Christoph Brune, Kak Khee Yeung +1
Personalised 3D vascular models are valuable for diagnosis, prognosis and treatment planning in patients with cardiovascular disease. Traditionally, such models have been construct…
Implicit Neural Representations for Generative Modeling of Living Cell Shapes
David Wiesner, Julian Suk, Sven Dummer +2
Methods allowing the synthesis of realistic cell shapes could help generate training data sets to improve cell tracking and segmentation in biomedical images. Deep generative model…
Super-Resolved Microbubble Localization in Single-Channel Ultrasound RF Signals Using Deep Learning
Nathan Blanken, Jelmer M. Wolterink, Hervé Delingette +3
Recently, super-resolution ultrasound imaging with ultrasound localization microscopy (ULM) has received much attention. However, ULM relies on low concentrations of microbubbles i…