Markus Rempfler
According to our database1,
Markus Rempfler
authored at least 26 papers
between 2014 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
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
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
2019
Adversarially Learning a Local Anatomical Prior: Vertebrae Labelling with 2D reformations.
CoRR, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017
Proceedings of the IEEE International Conference on Computer Vision, 2017
2016
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, 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