Markus Rempfler

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Papers (8)

1. Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge cs.CV · 2018 · author #5
2. Btrfly Net: Vertebrae Labelling with Energy-based Adversarial Learning of Local Spine Prior cs.CV · 2018 · author #2
3. Deep-FExt: Deep Feature Extraction for Vessel Segmentation and Centerline Prediction stat.ML · 2017 · author #2
4. Automated Unsupervised Segmentation of Liver Lesions in CT scans via Cahn-Hilliard Phase Separation cs.CV · 2017 · author #2
5. Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks cs.CV · 2017 · author #11
6. Efficient Algorithms for Moral Lineage Tracing cs.CV · 2017 · author #1
7. Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields cs.CV · 2016 · author #7
8. The Minimum Cost Connected Subgraph Problem in Medical Image Analysis cs.CV · 2016 · author #1

Mentions

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Frequent Coauthors

• Bjoern H. Menze 6 shared papers
• Bjoern Andres 2 shared papers
• Bjoern Menze 2 shared papers
• Felix Hofmann 2 shared papers
• Florian Ettlinger 2 shared papers
• Giles Tetteh 2 shared papers
• Jana Lipkova 2 shared papers
• Marc Bickel 2 shared papers
• Patrick Bilic 2 shared papers
• Patrick Ferdinand Christ 2 shared papers
• Seyed-Ahmad Ahmadi 2 shared papers
• Sunil Tatavarty 2 shared papers
• Aaron Avery 1 shared papers
• Aaron S. Jackson 1 shared papers
• Abhijit Amrutkar 1 shared papers
• Abhishek Mahajan 1 shared papers
• Adel Kermi 1 shared papers
• Adri\`a Casamitjana 1 shared papers
• Ahana Roy Choudhury 1 shared papers
• Aikaterini Kotrotsou 1 shared papers