35 citations · 49 across the 7 of their papers we have counts for
7 papers
NUDF: Neural Unsigned Distance Fields for high resolution 3D medical image segmentation
Kristine Sørensen, Oscar Camara, Ole de Backer +2
Medical image segmentation is often considered as the task of labelling each pixel or voxel as being inside or outside a given anatomy. Processing the images at their original size…
Geometric Deep Learning for the Assessment of Thrombosis Risk in the Left Atrial Appendage
Xabier Morales, Jordi Mill, Guillem Simeon +4
The assessment of left atrial appendage (LAA) thrombogenesis has experienced major advances with the adoption of patient-specific computational fluid dynamics (CFD) simulations. No…
Was that so hard? Estimating human classification difficulty
Morten Rieger Hannemose, Josefine Vilsbøll Sundgaard, Niels Kvorning Ternov +2
When doctors are trained to diagnose a specific disease, they learn faster when presented with cases in order of increasing difficulty. This creates the need for automatically esti…
Multi-modal data generation with a deep metric variational autoencoder
Josefine Vilsbøll Sundgaard, Morten Rieger Hannemose, Søren Laugesen +6
We present a deep metric variational autoencoder for multi-modal data generation. The variational autoencoder employs triplet loss in the latent space, which allows for conditional…
Multi-view consensus CNN for 3D facial landmark placement
Rasmus R. Paulsen, Kristine Aavild Juhl, Thilde Marie Haspang +3
The rapid increase in the availability of accurate 3D scanning devices has moved facial recognition and analysis into the 3D domain. 3D facial landmarks are often used as a simple…
Guiding 3D U-nets with signed distance fields for creating 3D models from images
Kristine Aavild Juhl, Rasmus Reinhold Paulsen, Anders Bjorholm Dahl +4
Morphological analysis of the left atrial appendage is an important tool to assess risk of ischemic stroke. Most deep learning approaches for 3D segmentation is guided by binary la…
SlicerPET: A workflow based software module for PET/CT guided needle biopsy
Dženan Zukić, Julien Finet, Emmanuel Wilson +4
Biopsy is commonly used to confirm cancer diagnosis when radiologically indicated. Given the ability of PET to localize malignancies in heterogeneous tumors and tumors that do not…