Klaus H. Maier-Hein
Orcid: 0000-0002-6626-2463Affiliations:
- German Cancer Research Center, Heidelberg, Germany
According to our database1,
Klaus H. Maier-Hein
authored at least 194 papers
between 2006 and 2024.
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Bibliography
2024
CoRR, 2024
ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation.
CoRR, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
Abstract: 3D Medical Image Segmentation with Transformer-based Scaling of ConvNets - MedNeXt.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
Abstract: Semi-automatic White Matter Tract Segmentation using Active Learning atTRACTive.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
Harmonized Import of Clinical Research Data for the Open Source Image Analysis Platform Kaapana.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
Abstract: RecycleNet - Latent Feature Recycling Leads to Iterative Decision Refinement.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
Abstract: Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
Abstract: Deep Learning-based Detection of Vessel Occlusions on CT-Angiography in Patients with Suspected Acute Ischemic Stroke.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
Abstract: Radiomics Processing Toolkit - Role of Feature Computation on Prediction Performance.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
Abstract: Reformulating COPD Classification on Chest CT Scans as Anomaly Detection using Contrastive Representations - cOOpD.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
2023
SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma.
CoRR, 2023
Look Ma, no code: fine tuning nnU-Net for the AutoPET II challenge by only adjusting its JSON plans.
CoRR, 2023
Exploring new ways: Enforcing representational dissimilarity to learn new features and reduce error consistency.
CoRR, 2023
SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model.
CoRR, 2023
[Work in progress] Scalable, out-of-the box segmentation of individual particles from mineral samples acquired with micro CT.
CoRR, 2023
CRADL: Contrastive Representations for Unsupervised Anomaly Detection and Localization.
CoRR, 2023
Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications.
Proceedings of the Data Engineering in Medical Imaging - First MICCAI Workshop, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
cOOpD: Reformulating COPD Classification on Chest CT Scans as Anomaly Detection Using Contrastive Representations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023
Abstract: Automated Detection and Quantification of Brain Metastases on Clinical MRI Data using CNNs.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023
Abstract: C-arm Positioning for Standard Projections During Spinal Implant Placement.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023
Abstract: Towards Real-world Federated Learning in Medical Image Analysis using Kaapana.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023
Abstract: Deep-learning on Lossily Compressed Pathology Images - Adverse Effects for ImageNet Pre-trained Models.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023
2022
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images.
IEEE Trans. Medical Imaging, 2022
Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge.
Medical Image Anal., 2022
Medical Image Anal., 2022
CoRR, 2022
Proceedings of the Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, 2022
Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022
Deep Learning on Lossily Compressed Pathology Images: Adverse Effects for ImageNet Pre-trained Models.
Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022
Proceedings of the Lesion Segmentation in Surgical and Diagnostic Applications, 2022
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022
Abstract: C-arm Positioning for Spinal Standard Projections in Different Intra-operative Settings.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022
DICOM Whole Slide Imaging for Computational Pathology Research in Kaapana and the Joint Imaging Platform.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022
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
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge.
Medical Image Anal., 2021
Medical Image Anal., 2021
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge.
Medical Image Anal., 2021
GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data.
CoRR, 2021
Comput. Medical Imaging Graph., 2021
Computer-assisted contralateral side comparison of the ankle joint using flat panel technology.
Int. J. Comput. Assist. Radiol. Surg., 2021
Correction to: Toward automatic C‑arm positioning for standard projections in orthopedic surgery.
Int. J. Comput. Assist. Radiol. Surg., 2021
GP-ConvCNP: Better generalization for conditional convolutional Neural Processes on time series data.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
C-Arm Positioning for Spinal Standard Projections in Different Intra-operative Settings.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021
Abstract: Towards Automatic C-arm Positioning for Standard Projections in Orthopedic Surgery.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021
Abstract: Data Augmentation for Information Transfer - Why Controlling for Confounding Effects in Radiomic Studies is Important and How to do it.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021
Abstract: Studying Robustness of Semantic Segmentation under Domain Shift in Cardiac MRI.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021
2020
Representing Ambiguity in Registration Problems with Conditional Invertible Neural Networks.
CoRR, 2020
OR-UNet: an Optimized Robust Residual U-Net for Instrument Segmentation in Endoscopic Images.
CoRR, 2020
Int. J. Comput. Assist. Radiol. Surg., 2020
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020
2019
NeuroImage, 2019
Combined tract segmentation and orientation mapping for bundle-specific tractography.
Medical Image Anal., 2019
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge.
CoRR, 2019
A Case for the Score: Identifying Image Anomalies using Variational Autoencoder Gradients.
CoRR, 2019
High- and Low-level image component decomposition using VAEs for improved reconstruction and anomaly detection.
CoRR, 2019
CoRR, 2019
Computer-assisted intra-operative verification of surgical outcome for the treatment of syndesmotic injuries through contralateral side comparison.
Int. J. Comput. Assist. Radiol. Surg., 2019
Int. J. Comput. Assist. Radiol. Surg., 2019
Int. J. Comput. Assist. Radiol. Surg., 2019
MITK-ModelFit: A generic open-source framework for model fits and their exploration in medical imaging - design, implementation and application on the example of DCE-MRI.
BMC Bioinform., 2019
Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection.
Proceedings of the Machine Learning for Health Workshop, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019
Abstract: Anchor-Constrained Plausibility - A Novel Concept for Assessing Tractography and Reducing False-Positives.
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019
Abstract: nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation.
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019
2018
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
IEEE Trans. Medical Imaging, 2018
CoRR, 2018
CoRR, 2018
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions.
CoRR, 2018
Exploiting the potential of unlabeled endoscopic video data with self-supervised learning.
Int. J. Comput. Assist. Radiol. Surg., 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Anchor-Constrained Plausibility (ACP): A Novel Concept for Assessing Tractography and Reducing False-Positives.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Domain Adaptation for Deviating Acquisition Protocols in CNN-Based Lesion Classification on Diffusion-Weighted MR Images.
Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018
Abstract: Rekonstruktion der initialen Druckverteilung photoakustischer Bilder mit limitiertem Blickwinkel durch maschinelle Lernverfahren.
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018
Abstract: Leveraging Open Source Software to Close Translational Gaps in Medical Image Computing.
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018
Automated Containerized Medical Image Processing Based on MITK and Python - A Modular System to Implement Medical Image Processing Pipelines and Visualize Meta Data.
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018
2017
3D Statistical Shape Models Incorporating Landmark-Wise Random Regression Forests for Omni-Directional Landmark Detection.
IEEE Trans. Medical Imaging, 2017
MiMSeg - an algorithm for automated detection of tumor tissue on NMR apparent diffusion coefficient maps.
Inf. Sci., 2017
Exploiting the potential of unlabeled endoscopic video data with self-supervised learning.
CoRR, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017
Automatic Cardiac Disease Assessment on cine-MRI via Time-Series Segmentation and Domain Specific Features.
Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Quantification of Guidance Strategies in Online Interactive Semantic Segmentation of Glioblastoma MRI.
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017
Brain Tumor Segmentation Using Large Receptive Field Deep Convolutional Neural Networks.
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017
2016
Multi-Objective Memetic Search for Robust Motion and Distortion Correction in Diffusion MRI.
IEEE Trans. Medical Imaging, 2016
IEEE Trans. Medical Imaging, 2016
NeuroImage, 2016
A learning-based, fully automatic liver tumor segmentation pipeline based on sparsely annotated training data.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
Crowd-Algorithm Collaboration for Large-Scale Endoscopic Image Annotation with Confidence.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Machine-learning based comparison of CT-perfusion maps and dual energy CT for pancreatic tumor detection.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Statistische 3D-Formmodelle mit verteilter Erscheinungsmodellierung - Segmentierung per Abstimmung.
Proceedings of the Bildverarbeitung für die Medizin 2016 - Algorithmen - Systeme, 2016
Fallspezifisches Lernen zur automatischen Läsionssegmentierung in multimodalen MR-Bildern.
Proceedings of the Bildverarbeitung für die Medizin 2016 - Algorithmen - Systeme, 2016
2015
Strengths and weaknesses of state of the art fiber tractography pipelines - A comprehensive in-vivo and phantom evaluation study using Tractometer.
Medical Image Anal., 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015
3D statistical shape models incorporating 3D random forest regression voting for robust CT liver segmentation.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Crowdgestützte Organsegmentierung: Möglichkeiten und Grenzen.
Proceedings of the 14. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, 2015
Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015
Automatisierung von Vorverarbeitungsschritten für medizinische Bilddaten mit semantischen Technologien.
Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015
Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015
Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015
2014
NeuroImage, 2014
Quantification of changes in language-related brain areas in autism spectrum disorders using large-scale network analysis.
Int. J. Comput. Assist. Radiol. Surg., 2014
Proceedings of the 5th International Workshop on Consuming Linked Data (COLD 2014) co-located with the 13th International Semantic Web Conference (ISWC 2014), 2014
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014
Proceedings of the Bildverarbeitung für die Medizin 2014, Algorithmen - Systeme, 2014
Proceedings of the Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data, 2014
2013
Int. J. Comput. Assist. Radiol. Surg., 2013
Proceedings of the Computational Diffusion MRI and Brain Connectivity, 2013
Fiberfox: An Extensible System for Generating Realistic White Matter Software Phantoms.
Proceedings of the Computational Diffusion MRI and Brain Connectivity, 2013
A Quantitative Evaluation of Errors Induced by Reduced Field-of-View in Diffusion Tensor Imaging.
Proceedings of the Computational Diffusion MRI and Brain Connectivity, 2013
Proceedings of the Computational Diffusion MRI and Brain Connectivity, 2013
Quantification of Changes in Language-Related Brain Areas in Autism Spectrum Disorders Using Large-Scale Network Analysis.
Proceedings of the Bildverarbeitung für die Medizin 2013 - Algorithmen - Systeme, 2013
2012
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Integration eines globalen Traktographieverfahrens in das Medical Imaging Interaction Toolkit.
Proceedings of the Bildverarbeitung für die Medizin 2012 - Algorithmen - Systeme, 2012
2011
Tract-Based Spatial Statistics of the Corpus Callosum using Different Tensor-Derived Indices.
Proceedings of the Bildverarbeitung für die Medizin 2011: Algorithmen - Systeme, 2011
2010
Opportunities and pitfalls in the quantification of fiber integrity: What can we gain from Q-ball imaging?
NeuroImage, 2010
The extensible open-source rigid and affine image registration module of the Medical Imaging Interaction Toolkit (MITK).
Comput. Methods Programs Biomed., 2010
Automated MR morphometry to predict Alzheimer's disease in mild cognitive impairment.
Int. J. Comput. Assist. Radiol. Surg., 2010
Proceedings of the Medical Imaging 2010: Image Processing, 2010
The MITK image guided therapy toolkit and its application for augmented reality in laparoscopic prostate surgery.
Proceedings of the Medical Imaging 2010: Visualization, 2010
Proceedings of the Bildverarbeitung für die Medizin 2010 - Algorithmen - Systeme, 2010
2009
Vorhersage des Krankheitsverlaufes von leichten kognitiven Beeinträchtigungen durch automatisierte MRT Morphometrie.
Proceedings of the Bildverarbeitung für die Medizin 2009: Algorithmen - Systeme, 2009
2008
A computational method for the estimation of atrophic changes in Alzheimer's disease and mild cognitive impairment.
Comput. Medical Imaging Graph., 2008
A simulator for surgery training: optimal sensory stimuli in a bone pinning simulation.
Proceedings of the Medical Imaging 2008: Visualization, 2008
Neurodegenerative changes in Alzheimer's disease: a comparative study of manual, semi-automated, and fully automated assessment using MRI.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008
Proceedings of the Bildverarbeitung für die Medizin 2008, 2008
2006
Automated MRI-Based Quantification of the Cerebral Atrophy Providing Diagnostic Information on Mild Cognitive Impairment and Alzheimer's Disease.
Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006