Bjoern H. Menze
Orcid: 0000-0003-4136-5690Affiliations:
- 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 278 papers
between 2004 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Synthetic Optical Coherence Tomography Angiographs for Detailed Retinal Vessel Segmentation Without Human Annotations.
IEEE Trans. Medical Imaging, June, 2024
Machine Learning Analysis of Human Skin by Optoacoustic Mesoscopy for Automated Extraction of Psoriasis and Aging Biomarkers.
IEEE Trans. Medical Imaging, June, 2024
A Dempster-Shafer Approach to Trustworthy AI With Application to Fetal Brain MRI Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024
<i>Where is VALDO?</i> VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021.
Medical Image Anal., January, 2024
Joint-individual fusion structure with fusion attention module for multi-modal skin cancer classification.
Pattern Recognit., 2024
Medical Image Anal., 2024
Editorial for the Special Issue on the 2022 Medical Imaging with Deep Learning Conference.
Medical Image Anal., 2024
Improved Patch Denoising Diffusion Probabilistic Models for Magnetic Resonance Fingerprinting.
CoRR, 2024
CoRR, 2024
ISLES 2024: The first longitudinal multimodal multi-center real-world dataset in (sub-)acute stroke.
CoRR, 2024
ISLES'24: Improving final infarct prediction in ischemic stroke using multimodal imaging and clinical data.
CoRR, 2024
BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023.
CoRR, 2024
CoRR, 2024
Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation.
CoRR, 2024
The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI.
CoRR, 2024
CoRR, 2024
CoRR, 2024
The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs).
CoRR, 2024
CoRR, 2024
Enhancing Interpretability of Vertebrae Fracture Grading using Human-interpretable Prototypes.
CoRR, 2024
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge.
CoRR, 2024
A foundation model utilizing chest CT volumes and radiology reports for supervised-level zero-shot detection of abnormalities.
CoRR, 2024
SPINEPS - Automatic Whole Spine Segmentation of T2-weighted MR images using a Two-Phase Approach to Multi-class Semantic and Instance Segmentation.
CoRR, 2024
MultiMedEval: A Benchmark and a Toolkit for Evaluating Medical Vision-Language Models.
CoRR, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
StoDIP: Efficient 3D MRF Image Reconstruction with Deep Image Priors and Stochastic Iterations.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Deep Generative Models - 4th MICCAI Workshop, 2024
Deep Image Priors for Magnetic Resonance Fingerprinting with Pretrained Bloch-Consistent Denoising Autoencoders.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
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
Individualizing Glioma Radiotherapy Planning by Optimization of a Data and Physics Informed Discrete Loss.
CoRR, 2023
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
CoRR, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs).
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
CoRR, 2023
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
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
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
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
IEEE Trans. Medical Imaging, 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Medical Image Anal., 2022
Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challenge.
Medical Image Anal., 2022
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
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset.
CoRR, 2022
CoRR, 2022
Casting the inverse problem as a database query. The case of personalized tumor growth modeling.
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
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
Proceedings of the Computer Vision - ECCV 2022, 2022
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
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.
CoRR, 2021
The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients.
CoRR, 2021
A Deep Learning Approach to Predicting Collateral Flow in Stroke Patients Using Radiomic Features from Perfusion Images.
CoRR, 2021
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
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
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging.
CoRR, 2021
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
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
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
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
CoRR, 2020
Complex Grey Matter Structure Segmentation in Brains via Deep Learning: Example of the Claustrum.
CoRR, 2020
CoRR, 2020
e-UDA: Efficient Unsupervised Domain Adaptation for Cross-Site Medical Image Segmentation.
CoRR, 2020
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images.
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
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
Proceedings of the Cerebral Aneurysm Detection - First Challenge, 2020
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
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
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
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
Proceedings of the 25th International Conference on Pattern Recognition, 2020
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
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
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
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
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
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2019
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
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
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
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
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
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
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
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
Proceedings of the Computational Methods and Clinical Applications in Musculoskeletal Imaging, 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
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
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
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
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
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, 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
Proceedings of the Computer Vision - ACCV 2016, 2016
2015
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
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
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
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
Medical Image Anal., 2013
Global localization of 3D anatomical structures by pre-filtered Hough Forests and discrete optimization.
Medical Image Anal., 2013
Proceedings of the Medical Computer Vision. Large Data in Medical Imaging, 2013
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
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Proceedings of the Future Internet, 2013
Proceedings of the British Machine Vision Conference, 2013
2012
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
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
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
NeuroImage, 2011
Spatial decision forests for MS lesion segmentation in multi-channel magnetic resonance images.
NeuroImage, 2011
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
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
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
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
Proceedings of the Classification, 2004