Hans Meine

Orcid: 0000-0002-7557-5007

Affiliations:
  • Fraunhofer Institute for Medical Image Computing (MEVIS), Bremen, Germany


According to our database1, Hans Meine authored at least 45 papers between 2004 and 2024.

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

Timeline

Legend:

Book 
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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Suitability of DNN-based vessel segmentation for SIRT planning.
Int. J. Comput. Assist. Radiol. Surg., February, 2024

Comparative evaluation of uncertainty estimation and decomposition methods on liver segmentation.
Int. J. Comput. Assist. Radiol. Surg., February, 2024

Application of Active Learning-based on Uncertainty Quantification to Breast Segmentation in MRI.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023
Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark.
Medical Image Anal., May, 2023

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

Combining arterial and venous CT scans in a multi-encoder network for improved hepatic vessel segmentation.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

Distributed Privacy-Preserving Data Analysis in NFDI4Health With the Personal Health Train.
Proceedings of the 1st Conference on Research Data Infrastructure - Connecting Communities, 2023

Abstract: Liver Tumor Segmentation in Late-phase MRI using Multi-model Training and an Anisotropic U-Net.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022
AI-Based Detection of Aspiration for Video-Endoscopy with Visual Aids in Meaningful Frames to Interpret the Model Outcome.
Sensors, 2022

Quantitative Analysis of Liver Disease Using MRI-Based Radiomic Features of the Liver and Spleen.
J. Imaging, 2022

Reconstruction of dental roots for implant planning purposes: a feasibility study.
Int. J. Comput. Assist. Radiol. Surg., 2022

Robust Segmentation Models Using an Uncertainty Slice Sampling-Based Annotation Workflow.
IEEE Access, 2022

Improving deep learning based liver vessel segmentation using automated connectivity analysis.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Confidence Histograms for Model Reliability Analysis and Temperature Calibration.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Hepatic artery segmentation with 3D convolutional neural networks.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

Robust Liver Segmentation with Deep Learning Across DCE-MRI Contrast Phases.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2021
Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark.
CoRR, 2021

Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI.
Comput. Methods Programs Biomed., 2021

MRI-based radiomic feature analysis of end-stage liver disease for severity stratification.
Int. J. Comput. Assist. Radiol. Surg., 2021

Extraction of Kidney Anatomy Based on a 3D U-ResNet with Overlap-Tile Strategy.
Proceedings of the Kidney and Kidney Tumor Segmentation - MICCAI 2021 Challenge, 2021

2020



Automatic segmentation of the pulmonary lobes with a 3D u-net and optimized loss function.
CoRR, 2020

Feasibility of end-to-end trainable two-stage U-Net for detection of axillary lymph nodes in contrast-enhanced CT based on sparse annotations.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019


Efficient Prealignment of CT Scans for Registration through a Bodypart Regressor.
CoRR, 2019

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

Neural-network-based automatic segmentation of cerebral ultrasound images for improving image-guided neurosurgery.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019

2018
Comparison of U-net-based Convolutional Neural Networks for Liver Segmentation in CT.
CoRR, 2018

2017
Neural Network-Based Automatic Liver Tumor Segmentation With Random Forest-Based Candidate Filtering.
CoRR, 2017

2015
Accurate CT-MR image registration for deep brain stimulation: a multi-observer evaluation study.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

2014
Segmentation-Based Partial Volume Correction for Volume Estimation of Solid Lesions in CT.
IEEE Trans. Medical Imaging, 2014

Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study.
Medical Image Anal., 2014

2012
How to define a locally adaptive sampling criterion for topologically correct reconstruction of multiple regions.
Pattern Recognit. Lett., 2012

2009
The GeoMap representation: on topologically correct sub-pixel image analysis.
PhD thesis, 2009

A topological sampling theorem for Robust boundary reconstruction and image segmentation.
Discret. Appl. Math., 2009

Annotated Contraction Kernels for Interactive Image Segmentation.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2009

Pixel Approximation Errors in Common Watershed Algorithms.
Proceedings of the Discrete Geometry for Computer Imagery, 2009

2006
A New Sub-pixel Map for Image Analysis.
Proceedings of the Combinatorial Image Analysis, 11th International Workshop, 2006

Topologically Correct Image Segmentation Using Alpha Shapes.
Proceedings of the Discrete Geometry for Computer Imagery, 13th International Conference, 2006

Provably Correct Edgel Linking and Subpixel Boundary Reconstruction.
Proceedings of the Pattern Recognition, 2006

2005
The GeoMap: A Unified Representation for Topology and Geometry.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2005

2004
Fast and Accurate Interactive Image Segmentation in the GEOMAP Framework.
Proceedings of the Bildverarbeitung für die Medizin 2004, Algorithmen - Systeme, 2004


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