papers
Publications (4)
eess.IV2019
Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis
Anjany Sekuboyina, Markus Rempfler, Alexander Valentinitsch +3
The paper introduces a probabilistic auto-encoding network for unstructured point clouds that learns shape signatures of vertebrae and uses reconstruction errors to detect fracture…
#point cloud processing#autoencoder#variational autoencoder#unsupervised anomaly detection
cs.CV2018
Btrfly Net: Vertebrae Labelling with Energy-based Adversarial Learning of Local Spine Prior
Anjany Sekuboyina, Markus Rempfler, Jan KukaÄka +4
cs.CV2017
SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D convolutional neural networks
Patrick Ferdinand Christ, Florian Ettlinger, Georgios Kaissis +7
cs.CV2017
A Localisation-Segmentation Approach for Multi-label Annotation of Lumbar Vertebrae using Deep Nets
Anjany Sekuboyina, Alexander Valentinitsch, Jan S. Kirschke +1