Markus Rempfler

According to our database1, Markus Rempfler authored at least 26 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
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Links

On csauthors.net:

Bibliography

2023
The Liver Tumor Segmentation Benchmark (LiTS).
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Medical Image Anal., 2023

2021
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images.
Medical Image Anal., 2021

The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference.
CoRR, 2021

2020
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images.
CoRR, 2020

RDCNet: Instance Segmentation with a Minimalist Recurrent Residual Network.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

2019
Graph Inference in Biomedical Image Analysis.
PhD thesis, 2019

Adversarially Learning a Local Anatomical Prior: Vertebrae Labelling with 2D reformations.
CoRR, 2019

The Liver Tumor Segmentation Benchmark (LiTS).
CoRR, 2019

Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Tracing cell lineages in videos of lens-free microscopy.
Medical Image Anal., 2018

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge.
CoRR, 2018

Btrfly Net: Vertebrae Labelling with Energy-Based Adversarial Learning of Local Spine Prior.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Automated Unsupervised Segmentation of Liver Lesions in CT scans via Cahn-Hilliard Phase Separation.
CoRR, 2017

Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks.
CoRR, 2017

Deep-FExt: Deep Feature Extraction for Vessel Segmentation and Centerline Prediction.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Cell Lineage Tracing in Lens-Free Microscopy Videos.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Uncertainty Estimation in Vascular Networks.
Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017

Efficient Algorithms for Moral Lineage Tracing.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
The Minimum Cost Connected Subgraph Problem in Medical Image Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Inner and outer coronary vessel wall segmentation from CCTA using an active contour model with machine learning-based 3D voxel context-aware image force.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Uncertainty quantification in brain tumor segmentation using CRFs and random perturbation models.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Reconstructing cerebrovascular networks under local physiological constraints by integer programming.
Medical Image Anal., 2015

Hierarchical Multi-Organ Segmentation Without Registration in 3D Abdominal CT Images.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015

Rekonstruktion zerebraler Gefässnetzwerke aus in-vivo <i>μ</i>MRA mittels physiologischem Vorwissen zur lokalen Gefässgeometrie.
Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

2014
Extracting Vascular Networks under Physiological Constraints via Integer Programming.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014


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