Bjoern H. Menze

Affiliations:
  • TU Munich, Faculty of Computer Science, Germany
  • ETH Zurich, Computer Vision Laboratory, Switzerland
  • Massachusetts Institute of Technology (MIT), Computer Science and Artificial Intelligence Laboratory, USA
  • Harvard University, Department of Anthropology, Cambridge, MA, USA
  • University of Heidelberg, Interdisciplinary Center for Computing (IWR), Germany


According to our database1, Bjoern H. Menze authored at least 247 papers between 2004 and 2024.

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

Timeline

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Online presence:

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Bibliography

2024
<i>Where is VALDO?</i> VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021.
Medical Image Anal., January, 2024

MultiMedEval: A Benchmark and a Toolkit for Evaluating Medical Vision-Language Models.
CoRR, 2024

2023
Fetal brain tissue annotation and segmentation challenge results.
Medical Image Anal., August, 2023

Inverse Biophysical Modeling and Machine Learning in Personalized Oncology (Dagstuhl Seminar 23022).
Dagstuhl Reports, January, 2023

Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling.
Medical Image Anal., 2023

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

Individualizing Glioma Radiotherapy Planning by Optimization of a Data and Physics Informed Discrete Loss.
CoRR, 2023

Joint-Individual Fusion Structure with Fusion Attention Module for Multi-Modal Skin Cancer Classification.
CoRR, 2023

Panoptica - instance-wise evaluation of 3D semantic and instance segmentation maps.
CoRR, 2023

Personalized Predictions of Glioblastoma Infiltration: Mathematical Models, Physics-Informed Neural Networks and Multimodal Scans.
CoRR, 2023

Denoising diffusion-based MR to CT image translation enables whole spine vertebral segmentation in 2D and 3D without manual annotations.
CoRR, 2023

Framing image registration as a landmark detection problem for better representation of clinical relevance.
CoRR, 2023

Inter-Rater Uncertainty Quantification in Medical Image Segmentation via Rater-Specific Bayesian Neural Networks.
CoRR, 2023

Detailed retinal vessel segmentation without human annotations using simulated optical coherence tomography angiographs.
CoRR, 2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa).
CoRR, 2023

DENTEX: An Abnormal Tooth Detection with Dental Enumeration and Diagnosis Benchmark for Panoramic X-rays.
CoRR, 2023

GRAtt-VIS: Gated Residual Attention for Auto Rectifying Video Instance Segmentation.
CoRR, 2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs).
CoRR, 2023

GenerateCT: Text-Guided 3D Chest CT Generation.
CoRR, 2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn).
CoRR, 2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting.
CoRR, 2023

The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma.
CoRR, 2023

Primitive Simultaneous Optimization of Similarity Metrics for Image Registration.
CoRR, 2023

Why is the winner the best?
CoRR, 2023

Link Prediction for Flow-Driven Spatial Networks.
CoRR, 2023

Understanding metric-related pitfalls in image analysis validation.
CoRR, 2023

Vesselformer: Towards Complete 3D Vessel Graph Generation from Images.
Proceedings of the Medical Imaging with Deep Learning, 2023

ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations.
Proceedings of the Medical Imaging with Deep Learning, 2023

Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Diffusion-Based Hierarchical Multi-label Object Detection to Analyze Panoramic Dental X-Rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Pushing the Limits of an FCN and A CRF Towards Near-Ideal Vertebrae Labelling.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023


blob loss: Instance Imbalance Aware Loss Functions for Semantic Segmentation.
Proceedings of the Information Processing in Medical Imaging, 2023

Topologically Faithful Image Segmentation via Induced Matching of Persistence Barcodes.
Proceedings of the International Conference on Machine Learning, 2023

Why is the Winner the Best?
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Geometry-Aware Neural Solver for Fast Bayesian Calibration of Brain Tumor Models.
IEEE Trans. Medical Imaging, 2022

Face Restoration via Plug-and-Play 3D Facial Priors.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Learning residual motion correction for fast and robust 3D multiparametric MRI.
Medical Image Anal., 2022

Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challenge.
Medical Image Anal., 2022

SRflow: Deep learning based super-resolution of 4D-flow MRI data.
Frontiers Artif. Intell., 2022

A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images.
CoRR, 2022

Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021.
CoRR, 2022

Focused Decoding Enables 3D Anatomical Detection by Transformers.
CoRR, 2022

ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset.
CoRR, 2022

Metrics reloaded: Pitfalls and recommendations for image analysis validation.
CoRR, 2022

Casting the inverse problem as a database query. The case of personalized tumor growth modeling.
CoRR, 2022

Fetal Brain Tissue Annotation and Segmentation Challenge Results.
CoRR, 2022

A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentation.
CoRR, 2022

Region of Interest focused MRI to Synthetic CT Translation using Regression and Classification Multi-task Network.
CoRR, 2022

A unified 3D framework for Organs at Risk Localization and Segmentation for Radiation Therapy Planning.
CoRR, 2022

METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

A for-loop is all you need. For solving the inverse problem in the case of personalized tumor growth modeling.
Proceedings of the Machine Learning for Health, 2022

Learning Shape Reconstruction from Sparse Measurements with Neural Implicit Functions.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Physiology-Based Simulation of the Retinal Vasculature Enables Annotation-Free Segmentation of OCT Angiographs.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Landmark-Free Statistical Shape Modeling Via Neural Flow Deformations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

AutoGAN-Synthesizer: Neural Architecture Search for Cross-Modality MRI Synthesis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Structured Knowledge Graphs for Classifying Unseen Patterns in Radiographs.
Proceedings of the Geometric Deep Learning in Medical Image Analysis, 2022

Self-Supervised Pretext Tasks in Model Robustness & Generalizability: A Revisit from Medical Imaging Perspective.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

A Unified 3D Framework for Organs-at-Risk Localization and Segmentation for Radiation Therapy Planning.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Relationformer: A Unified Framework for Image-to-Graph Generation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

Leveraging 2D Deep Learning ImageNet-trained Models for Native 3D Medical Image Analysis.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

2021
AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design.
IEEE Trans. Medical Imaging, 2021

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge.
IEEE Trans. Medical Imaging, 2021

Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge.
NeuroImage, 2021

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

AIFNet: Automatic vascular function estimation for perfusion analysis using deep learning.
Medical Image Anal., 2021

Compressive MRI quantification using convex spatiotemporal priors and deep encoder-decoder networks.
Medical Image Anal., 2021

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results.
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CoRR, 2021

The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients.
CoRR, 2021

FedCostWAvg: A new averaging for better Federated Learning.
CoRR, 2021

A Deep Learning Approach to Predicting Collateral Flow in Stroke Patients Using Radiomic Features from Perfusion Images.
CoRR, 2021

Semi-Implicit Neural Solver for Time-dependent Partial Differential Equations.
CoRR, 2021

Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph).
CoRR, 2021

The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification.
CoRR, 2021

The Medical Segmentation Decathlon.
CoRR, 2021

Evaluating the Robustness of Self-Supervised Learning in Medical Imaging.
CoRR, 2021

The Federated Tumor Segmentation (FeTS) Challenge.
CoRR, 2021

Common Limitations of Image Processing Metrics: A Picture Story.
CoRR, 2021

A Computed Tomography Vertebral Segmentation Dataset with Anatomical Variations and Multi-Vendor Scanner Data.
CoRR, 2021

Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient.
CoRR, 2021

Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations.
CoRR, 2021

GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging.
CoRR, 2021

Analyzing magnetic resonance imaging data from glioma patients using deep learning.
Comput. Medical Imaging Graph., 2021

Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Residual learning for 3D motion corrected quantitative MRI: Robust clinical T1, T2 and proton density mapping.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Feedback Graph Attention Convolutional Network for MR Images Enhancement by Exploring Self-Similarity Features.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Imbalance-Aware Self-supervised Learning for 3D Radiomic Representations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Unpaired MR Image Homogenisation by Disentangled Representations and Its Uncertainty.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

Micro-Ct Synthesis and Inner Ear Super Resolution via Generative Adversarial Networks and Bayesian Inference.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Velocity-To-Pressure (V2P) - Net: Inferring Relative Pressures from Time-Varying 3D Fluid Flow Velocities.
Proceedings of the Information Processing in Medical Imaging, 2021

Pyramid Architecture Search for Real-Time Image Deblurring.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

clDice - A Novel Topology-Preserving Loss Function for Tubular Structure Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

FedCostWAvg: A New Averaging for Better Federated Learning.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020
Coarse-to-Fine Adversarial Networks and Zone-Based Uncertainty Analysis for NK/T-Cell Lymphoma Segmentation in CT/PET Images.
IEEE J. Biomed. Health Informatics, 2020

A comparison of automatic multi-tissue segmentation methods of the human fetal brain using the FeTA Dataset.
CoRR, 2020

Micro-CT Synthesis and Inner Ear Super Resolution via Bayesian Generative Adversarial Networks.
CoRR, 2020

Real-time Bayesian personalization via a learnable brain tumor growth model.
CoRR, 2020

Complex Grey Matter Structure Segmentation in Brains via Deep Learning: Example of the Claustrum.
CoRR, 2020

clDice - a Topology-Preserving Loss Function for Tubular Structure Segmentation.
CoRR, 2020

e-UDA: Efficient Unsupervised Domain Adaptation for Cross-Site Medical Image Segmentation.
CoRR, 2020

VerSe: A Vertebrae Labelling and Segmentation Benchmark.
CoRR, 2020

Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders.
CoRR, 2020

Reinforced Redetection of Landmark in Pre- and Post-operative Brain Scan Using Anatomical Guidance for Image Alignment.
Proceedings of the Biomedical Image Registration - 9th International Workshop, 2020

Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Deep learning-based parameter mapping for joint relaxation and diffusion tensor MR Fingerprinting.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Deep Reinforcement Learning for Organ Localization in CT.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Aν-Net: Automatic Detection and Segmentation of Aneurysm.
Proceedings of the Cerebral Aneurysm Detection - First Challenge, 2020

Differentiable Deconvolution for Improved Stroke Perfusion Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Robustification of Segmentation Models Against Adversarial Perturbations in Medical Imaging.
Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020

Reliable Saliency Maps for Weakly-Supervised Localization of Disease Patterns.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

Generalisable Cardiac Structure Segmentation via Attentional and Stacked Image Adaptation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

Grading Loss: A Fracture Grade-Based Metric Loss for Vertebral Fracture Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Detection of Ischemic Infarct Core in Non-contrast Computed Tomography.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

A Distance-Based Loss for Smooth and Continuous Skin Layer Segmentation in Optoacoustic Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Inferring the 3D Standing Spine Posture from 2D Radiographs.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Cranial Implant Prediction Using Low-Resolution 3D Shape Completion and High-Resolution 2D Refinement.
Proceedings of the Towards the Automatization of Cranial Implant Design in Cranioplasty, 2020

Cross-View Relation Networks for Mammogram Mass Detection.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Face Super-Resolution Guided by 3D Facial Priors.
Proceedings of the Computer Vision - ECCV 2020, 2020

Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference.
IEEE Trans. Medical Imaging, 2019

Knowledge-Aided Convolutional Neural Network for Small Organ Segmentation.
IEEE J. Biomed. Health Informatics, 2019

Towards quantitative imaging biomarkers of tumor dissemination: A multi-scale parametric modeling of multiple myeloma.
Medical Image Anal., 2019

ModelHub.AI: Dissemination Platform for Deep Learning Models.
CoRR, 2019

Implicit Neural Solver for Time-dependent Linear PDEs with Convergence Guarantee.
CoRR, 2019

Cross-view Relation Networks for Mammogram Mass Detection.
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

Group-Attention Single-Shot Detector (GA-SSD): Finding Pulmonary Nodules in Large-Scale CT Images.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

Spatial-Frequency Non-local Convolutional LSTM Network for pRCC Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

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

Shape-Aware Complementary-Task Learning for Multi-organ Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

DiamondGAN: Unified Multi-modal Generative Adversarial Networks for MRI Sequences Synthesis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Conditioned Variational Auto-encoder for Detecting Osteoporotic Vertebral Fractures.
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2019

Neural Parameters Estimation for Brain Tumor Growth Modeling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-sequence Cardiac MR Images Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

Vertebral Labelling in Radiographs: Learning a Coordinate Corrector to Enforce Spinal Shape.
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2019

A Radiomics Approach to Traumatic Brain Injury Prediction in CT Scans.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Differential Diagnosis for Pancreatic Cysts in CT Scans Using Densely-Connected Convolutional Networks.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Deep Neural Network for Automatic Characterization of Lesions on 68Ga-PSMA PET/CT Images.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

A Baseline for Predicting Glioblastoma Patient Survival Time with Classical Statistical Models and Primitive Features Ignoring Image Information.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 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 Anal., 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

DeepVesselNet: Vessel Segmentation, Centerline Prediction, and Bifurcation Detection in 3-D Angiographic Volumes.
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. Medical Imaging, 2017

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

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

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. Medical Imaging, 2016

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

Probabilistic model for 3D interactive segmentation.
Comput. Vis. Image Underst., 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. Medical Imaging, 2015

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

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 <i>μ</i>MRA 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 Process., 2014

Multitemporal Fusion for the Detection of Static Spatial Patterns in Multispectral Satellite Images - With Application to Archaeological Survey.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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

Accelerated Acquisition, Visualization, and Analysis of Zoo-Anatomical Data.
Proceedings of the Computation for Humanity - Information Technology to Advance Society., 2014

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

Global localization of 3D anatomical structures by pre-filtered Hough Forests and discrete optimization.
Medical Image Anal., 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. Medical Imaging, 2010

Segmentation of image ensembles via latent atlases.
Medical Image Anal., 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. Medical 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 Bioinform., 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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