NewEvery arXiv paper, its researchers & institutions — mapped.
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 Kukačka +4