Bjoern H. Menze

According to our database1, Bjoern H. Menze authored at least 122 papers between 2004 and 2019.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Bibliography

2019
DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synthesis.
CoRR, 2019

A large annotated medical image dataset for the development and evaluation of segmentation algorithms.
CoRR, 2019

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

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

2018
Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images.
NeuroImage, 2018

Brain extraction from normal and pathological images: A joint PCA/Image-Reconstruction approach.
NeuroImage, 2018

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

Group-Attention Single-Shot Detector (GA-SSD): Finding Pulmonary Nodules in Large-Scale CT Images.
CoRR, 2018

A Radiomics Approach to Traumatic Brain Injury Prediction in CT Scans.
CoRR, 2018

Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net.
CoRR, 2018

Multi-Scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation.
CoRR, 2018

Personalized Radiotherapy Planning for Glioma Using Multimodal Bayesian Model Calibration.
CoRR, 2018

Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions.
CoRR, 2018

Differential Diagnosis for Pancreatic Cysts in CT Scans Using Densely-Connected Convolutional Networks.
CoRR, 2018

Qunatification of Metabolites in MR Spectroscopic Imaging using Machine Learning.
CoRR, 2018

DeepASL: Kinetic Model Incorporated Loss for Denoising Arterial Spin Labeled MRI via Deep Residual Learning.
CoRR, 2018

Direct Estimation of Pharmacokinetic Parameters from DCE-MRI using Deep CNN with Forward Physical Model Loss.
CoRR, 2018

Multi-level Activation for Segmentation of Hierarchically-nested Classes.
CoRR, 2018

Btrfly Net: Vertebrae Labelling with Energy-based Adversarial Learning of Local Spine Prior.
CoRR, 2018

DeepVesselNet: Vessel Segmentation, Centerline Prediction, and Bifurcation Detection in 3-D Angiographic Volumes.
CoRR, 2018

Fully Convolutional Network Ensembles for White Matter Hyperintensities Segmentation in MR Images.
CoRR, 2018

Direct Estimation of Pharmacokinetic Parameters from DCE-MRI Using Deep CNN with Forward Physical Model Loss.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

DeepASL: Kinetic Model Incorporated Loss for Denoising Arterial Spin Labeled MRI via Deep Residual Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 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


Detecting Bone Lesions in Multiple Myeloma Patients Using Transfer Learning.
Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018

Deep Learning with Synthetic Diffusion MRI Data for Free-Water Elimination in Glioblastoma Cases.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Predicting Future Bone Infiltration Patterns in Multiple Myeloma.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2018

Multi-scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Hierarchical Multi-class Segmentation of Glioma Images Using Networks with Multi-level Activation Function.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Automatic Multi-Atlas Segmentation for Abdominal Images Using Template Construction and Robust Principal Component Analysis.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Multi-level Activation for Segmentation of Hierarchically-Nested Classes.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017
Segmentation of Skeleton and Organs in Whole-Body CT Images via Iterative Trilateration.
IEEE Trans. Med. Imaging, 2017

ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI.
Medical Image Analysis, 2017

Brain Extraction from Normal and Pathological Images: A Joint PCA/Image-Reconstruction Approach.
CoRR, 2017

Accelerated Reconstruction of Perfusion-Weighted MRI Enforcing Jointly Local and Nonlocal Spatio-temporal Constraints.
CoRR, 2017

Deep-FExt: Deep Feature Extraction for Vessel Segmentation and Centerline Prediction.
CoRR, 2017

A Localisation-Segmentation Approach for Multi-label Annotation of Lumbar Vertebrae using Deep Nets.
CoRR, 2017

Efficient Algorithms for Moral Lineage Tracing.
CoRR, 2017

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

SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D convolutional neural networks.
CoRR, 2017

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

W-Net for Whole-Body Bone Lesion Detection on ^68 Ga-Pentixafor PET/CT Imaging of Multiple Myeloma Patients.
Proceedings of the Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 2017

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

Attention-Driven Deep Learning for Pathological Spine Segmentation.
Proceedings of the Computational Methods and Clinical Applications in Musculoskeletal Imaging, 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

Mapping Multi-Modal Routine Imaging Data to a Single Reference via Multiple Templates.
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017

Quantification of Metabolites in Magnetic Resonance Spectroscopic Imaging Using Machine Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

From Large to Small Organ Segmentation in CT Using Regional Context.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Multi-modal Image Classification Using Low-Dimensional Texture Features for Genomic Brain Tumor Recognition.
Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017

SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D Convolutional Neural Networks.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Diabetes60 - Inferring Bread Units From Food Images Using Fully Convolutional Neural Networks.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

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

2016
Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks.
IEEE Trans. Med. Imaging, 2016

A Generative Probabilistic Model and Discriminative Extensions for Brain Lesion Segmentation - With Application to Tumor and Stroke.
IEEE Trans. Med. Imaging, 2016

Probabilistic model for 3D interactive segmentation.
Computer Vision and Image Understanding, 2016

The Minimum Cost Connected Subgraph Problem in Medical Image Analysis.
CoRR, 2016

Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields.
CoRR, 2016

Computed tomography synthesis from magnetic resonance images in the pelvis using multiple random forests and auto-context features.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Robust Reconstruction of Accelerated Perfusion MRI Using Local and Nonlocal Constraints.
Proceedings of the Reconstruction, Segmentation, and Analysis of Medical Images, 2016

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

Simultaneous Parameter Mapping, Modality Synthesis, and Anatomical Labeling of the Brain with MR Fingerprinting.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Spatially Adaptive Spectral Denoising for MR Spectroscopic Imaging using Frequency-Phase Non-local Means.
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

Spatio-temporal MRI reconstruction by enforcing local and global regularity via dynamic total variation and nuclear norm minimization.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

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

Human-Drone-Interaction: A Case Study to Investigate the Relation Between Autonomy and User Experience.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

An Online Algorithm for Efficient and Temporally Consistent Subspace Clustering.
Proceedings of the Computer Vision - ACCV 2016, 2016

2015
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).
IEEE Trans. Med. Imaging, 2015

Joint 3-D vessel segmentation and centerline extraction using oblique Hough forests with steerable filters.
Medical Image Analysis, 2015

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

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

Overview of the 2015 Workshop on Medical Computer Vision - Algorithms for Big Data (MCV 2015).
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015

Creating a Large-Scale Silver Corpus from Multiple Algorithmic Segmentations.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015

Learning a Spatiotemporal Dictionary for Magnetic Resonance Fingerprinting with Compressed Sensing.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

Local Structure Prediction with Convolutional Neural Networks for Multimodal Brain Tumor Segmentation.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015

Stroke Lesion Segmentation Using a Probabilistic Atlas of Cerebral Vascular Territories.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015

A Nonparametric Growth Model for Brain Tumor Segmentation in Longitudinal MR Sequences.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015

Overview of the VISCERAL Challenge at ISBI 2015.
Proceedings of the VISCERAL Anatomy3 Organ Segmentation Challenge co-located with IEEE International Symposium on Biomedical Imaging (ISBI 2015), 2015

Anatomical triangulation: from sparse landmarks to dense annotation of the skeleton in CT images.
Proceedings of the British Machine Vision Conference 2015, 2015

Rekonstruktion zerebraler Gefässnetzwerke aus in-vivo μMRA mittels physiologischem Vorwissen zur lokalen Gefässgeometrie.
Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

2014
Spatio-Temporal Video Segmentation With Shape Growth or Shrinkage Constraint.
IEEE Trans. Image Processing, 2014

Multitemporal Fusion for the Detection of Static Spatial Patterns in Multispectral Satellite Images - With Application to Archaeological Survey.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2014

TGIF: Topological Gap In-Fill for Vascular Networks - A Generative PhysiologicalModeling Approach.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

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

Overview of the 2014 Workshop on Medical Computer Vision - Algorithms for Big Data (MCV 2014).
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2014

2013
Whole-body anatomy localization via classification and regression forests.
Medical Image Analysis, 2013

Global localization of 3D anatomical structures by pre-filtered Hough Forests and discrete optimization.
Medical Image Analysis, 2013

Overview of the 2013 Workshop on Medical Computer Vision (MCV 2013).
Proceedings of the Medical Computer Vision. Large Data in Medical Imaging, 2013

Sparse Scale-Space Decomposition of Volume Changes in Deformations Fields.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Use of Diffusion Tensor Images in Glioma Growth Modeling for Radiotherapy Target Delineation.
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013

Importance of patient DTI's to accurately model glioma growth using the reaction diffusion equation.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Spatially Adaptive Random Forests.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Cloud-Based Evaluation Framework for Big Data.
Proceedings of the Future Internet, 2013

Enforcing Monotonous Shape Growth or Shrinkage in Video Segmentation.
Proceedings of the British Machine Vision Conference, 2013

2012
Predicting the Location of Glioma Recurrence after a Resection Surgery.
Proceedings of the Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2012

Oblique Random Forests for 3-D Vessel Detection Using Steerable Filters and Orthogonal Subspace Filtering.
Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2012

VISCERAL: Towards Large Data in Medical Imaging - Challenges and Directions.
Proceedings of the Medical Content-Based Retrieval for Clinical Decision Support, 2012

Brain Tumor Cell Density Estimation from Multi-modal MR Images Based on a Synthetic Tumor Growth Model.
Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2012

Fast Anatomical Structure Localization Using Top-Down Image Patch Regression.
Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2012

Bringing the Algorithms to the Data: Cloud-Based Benchmarking for Medical Image Analysis.
Proceedings of the Information Access Evaluation. Multilinguality, Multimodality, and Visual Analytics, 2012

2011
Detecting stable distributed patterns of brain activation using Gini contrast.
NeuroImage, 2011

Spatial decision forests for MS lesion segmentation in multi-channel magnetic resonance images.
NeuroImage, 2011

On Oblique Random Forests.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

A Generative Approach for Image-Based Modeling of Tumor Growth.
Proceedings of the Information Processing in Medical Imaging, 2011

2010
Image Guided Personalization of Reaction-Diffusion Type Tumor Growth Models Using Modified Anisotropic Eikonal Equations.
IEEE Trans. Med. Imaging, 2010

Segmentation of image ensembles via latent atlases.
Medical Image Analysis, 2010

A Generative Model for Brain Tumor Segmentation in Multi-Modal Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Comparative Validation of Graphical Models for Learning Tumor Segmentations from Noisy Manual Annotations.
Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2010

Spatial Decision Forests for MS Lesion Segmentation in Multi-Channel MR Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

2009
Estimating Kinetic Parameter Maps From Dynamic Contrast-Enhanced MRI Using Spatial Prior Knowledge.
IEEE Trans. Med. Imaging, 2009

A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data.
BMC Bioinformatics, 2009

2007
Mustererkennung in der quantitativen Auswertung vektor-wertiger Bilddaten: diagnostische Systeme und Anwendungen.
PhD thesis, 2007

Semi-supervised Tumor Detection in Magnetic Resonance Spectroscopic Images Using Discriminative Random Fields.
Proceedings of the Pattern Recognition, 2007

2006
From Eigenspots to Fisherspots - Latent Spaces in the Nonlinear Detection of Spot Patterns in a Highly Varying Background.
Proceedings of the Advances in Data Analysis, 2006

Bayesian Estimation of Smooth Parameter Maps for Dynamic Contrast-Enhanced MR Images with Block-ICM.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

Machine-Based Rejection of Low-Quality Spectra and Estimation of Brain Tumor Probabilities from Magnetic Resonance Spectroscopic Images.
Proceedings of the Bildverarbeitung für die Medizin 2006, Algorithmen, Systeme, Anwendungen, Proceedings des Workshops vom 19., 2006

CLARET: A Tool for Fully Automated Evaluation of MRSI with Pattern Recognition Methods.
Proceedings of the Bildverarbeitung für die Medizin 2006, Algorithmen, Systeme, Anwendungen, Proceedings des Workshops vom 19., 2006

2004
Classification of In Vivo Magnetic Resonance Spectra.
Proceedings of the Classification, 2004


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