papers
Publications (9)
cs.CV2017
Efficient Algorithms for Moral Lineage Tracing
Markus Rempfler, Jan-Hendrik Lange, Florian Jug +4
cs.CV2019
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Spyridon Bakas, Mauricio Reyes, Andras Jakab +421
cs.CV2017
Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks
Patrick Ferdinand Christ, Florian Ettlinger, Felix Grün +17
cs.CV2017
Automated Unsupervised Segmentation of Liver Lesions in CT scans via Cahn-Hilliard Phase Separation
Jana Lipková, Markus Rempfler, Patrick Christ +2
stat.ML2017
Deep-FExt: Deep Feature Extraction for Vessel Segmentation and Centerline Prediction
Giles Tetteh, Markus Rempfler, Bjoern H. Menze +1
cs.CV2016
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields
Patrick Ferdinand Christ, Mohamed Ezzeldin A. Elshaer, Florian Ettlinger +10
cs.CV2016
The Minimum Cost Connected Subgraph Problem in Medical Image Analysis
Markus Rempfler, Bjoern Andres, Bjoern H. Menze
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