Bernhard Kainz
Orcid: 0000-0002-7813-5023Affiliations:
- Imperial College London, UK
According to our database1,
Bernhard Kainz
authored at least 174 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
CoRR, 2024
CoRR, 2024
Automatic Segmentation of Lymphatic Perfusion in Patients with Congenital Single Ventricle Defects.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Video-Based Activity Recognition for Automated Motor Assessment of Parkinson's Disease.
IEEE J. Biomed. Health Informatics, October, 2023
Medical Image Anal., October, 2023
Comput. Graph. Forum, June, 2023
IEEE Trans. Medical Imaging, February, 2023
Nat. Mac. Intell., February, 2023
Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view.
Medical Image Anal., 2023
Ultra-Resolution Cascaded Diffusion Model for Gigapixel Image Synthesis in Histopathology.
CoRR, 2023
CoRR, 2023
Exploring the Hyperparameter Space of Image Diffusion Models for Echocardiogram Generation.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Quantifying Sample Anonymity in Score-Based Generative Models with Adversarial Fingerprinting.
CoRR, 2023
CoRR, 2023
Pay Attention: Accuracy Versus Interpretability Trade-off in Fine-tuned Diffusion Models.
CoRR, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis.
Proceedings of the Data Engineering in Medical Imaging - First MICCAI Workshop, 2023
Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023
Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction.
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 Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, 2023
Many Tasks Make Light Work: Learning to Localise Medical Anomalies from Multiple Synthetic Tasks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Foreground-Background Separation through Concept Distillation from Generative Image Foundation Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 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
Keynote: Beyond Supervised Learning - Exploring Novel Machine Learning Approaches for Robust Medical Image Analysis.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023
Learnable Slice-to-volume Reconstruction for Motion Compensation in Fetal Magnetic Resonance Imaging.
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
IEEE Trans. Image Process., 2022
SoftwareX, 2022
Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study.
npj Digit. Medicine, 2022
Zero-Shot Object Segmentation through Concept Distillation from Generative Image Foundation Models.
CoRR, 2022
CoRR, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2022
Proceedings of the Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging, 2022
Proceedings of the Simplifying Medical Ultrasound - Third International Workshop, 2022
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2022
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
A variational Bayesian method for similarity learning in non-rigid image registration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Mutual Information-Based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging.
IEEE Trans. Medical Imaging, 2021
Non-invasive diagnosis of deep vein thrombosis from ultrasound imaging with machine learning.
npj Digit. Medicine, 2021
Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study.
npj Digit. Medicine, 2021
A survey on active learning and human-in-the-loop deep learning for medical image analysis.
Medical Image Anal., 2021
CoRR, 2021
Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte Carlo.
CoRR, 2021
Self-Supervised Out-of-Distribution Detection and Localization with Natural Synthetic Anomalies (NSA).
CoRR, 2021
CoRR, 2021
CoRR, 2021
CoRR, 2021
Comput. Graph., 2021
Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, 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 Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Simplifying Medical Ultrasound - Second International Workshop, 2021
Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Can Non-specialists Provide High Quality Gold Standard Labels in Challenging Modalities?
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
Learning normal appearance for fetal anomaly screening: Application to the unsupervised detection of Hypoplastic Left Heart Syndrome.
CoRR, 2020
CoRR, 2020
Proceedings of the 19th Python in Science Conference 2020 (SciPy 2020), Virtual Conference, July 6, 2020
Proceedings of the Thoracic Image Analysis - Second International Workshop, 2020
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020
Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment.
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
2019
IEEE Trans. Medical Imaging, 2019
Medical Image Anal., 2019
Medical Image Anal., 2019
J. Mach. Learn. Res., 2019
Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study.
CoRR, 2019
Foreword to the special section on the Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM) at Medical Image Computing and Computer Assisted Intervention (MICCAI) 2018.
Comput. Graph., 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 Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019
Representation Disentanglement for Multi-task Learning with Application to Fetal Ultrasound.
Proceedings of the Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, 2019
Proceedings of the Machine Learning for Medical Image Reconstruction, 2019
Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019
Exploring the Relationship Between Segmentation Uncertainty, Segmentation Performance and Inter-observer Variability with Probabilistic Networks.
Proceedings of the Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, 2019
Confident Head Circumference Measurement from Ultrasound with Real-Time Feedback for Sonographers.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation.
IEEE Trans. Medical Imaging, 2018
3-D Reconstruction in Canonical Co-Ordinate Space From Arbitrarily Oriented 2-D Images.
IEEE Trans. Medical Imaging, 2018
CoRR, 2018
AutoDVT: Joint Real-Time Classification for Vein Compressibility Analysis in Deep Vein Thrombosis Ultrasound Diagnostics.
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
Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network.
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
EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging Without External Trackers.
Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018
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 Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
IEEE Trans. Vis. Comput. Graph., 2017
DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks.
IEEE Trans. Medical Imaging, 2017
SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound.
IEEE Trans. Medical Imaging, 2017
IEEE Trans. Medical Imaging, 2017
DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images.
CoRR, 2017
3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images.
CoRR, 2017
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation.
CoRR, 2017
CoRR, 2017
Proceedings of the Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 2017
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017
Proceedings of the 38th Annual Conference of the European Association for Computer Graphics, 2017
2016
Medical Image Anal., 2016
DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks.
CoRR, 2016
Real-Time Detection and Localisation of Fetal Standard Scan Planes in 2D Freehand Ultrasound.
CoRR, 2016
Proceedings of the 4th EuroVis Workshop on Reproducibility, 2016
Real-Time Standard Scan Plane Detection and Localisation in Fetal Ultrasound Using Fully Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
IEEE Trans. Medical Imaging, 2015
Machine learning for the automatic localisation of foetal body parts in cine-MRI scans.
Proceedings of the Medical Imaging 2015: Image Processing, 2015
Automated Localization of Fetal Organs in MRI Using Random Forests with Steerable Features.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Flexible Reconstruction and Correction of Unpredictable Motion from Stacks of 2D Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the Machine Learning Meets Medical Imaging - First International Workshop, 2015
RFA-cut: Semi-automatic segmentation of radiofrequency ablation zones with and without needles via optimal s-t-cuts.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
NeuroImage, 2014
Comput. Graph. Forum, 2014
Comput. Graph. Forum, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
High-resolution contrast enhanced multi-phase hepatic Computed Tomography data fromaporcine Radio-Frequency Ablation study.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Fast fully automatic brain detection in fetal MRI using dense rotation invariant image descriptors.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2013
IEEE Trans. Vis. Comput. Graph., 2013
2012
Procedural Texture Synthesis for Zoom-Independent Visualization of Multivariate Data.
Comput. Graph. Forum, 2012
Proceedings of the 18th ACM Symposium on Virtual Reality Software and Technology, 2012
Volumetric Real-Time Particle-Based Representation of Large Unstructured Tetrahedral Polygon Meshes.
Proceedings of the Mesh Processing in Medical Image Analysis 2012, 2012
Proceedings of the Clinical Image-Based Procedures. From Planning to Intervention, 2012
2011
IEEE Trans. Vis. Comput. Graph., 2011
Proceedings of the Symposium on Interactive 3D Graphics and Games, 2011
Proceedings of the 9th International Symposium on Non-Photorealistic Animation and Rendering, 2011
Proceedings of the Augmented Environments for Computer-Assisted Interventions, 2011
Strahlenbasierte Algorithmen für die medizinische Visualisierung vielfacher volumetrischer Datensätze.
Proceedings of the Ausgezeichnete Informatikdissertationen 2011, 2011
GPU Based On-the-fly Light Emission-absorption Approximation for Direct Multi-volume Rendering.
Proceedings of the 32nd Annual Conference of the European Association for Computer Graphics, 2011
Ray-based Image Generation for Advanced Medical Applications.
PhD thesis, 2011
2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
2009
Vis. Comput., 2009
Ray casting of multiple volumetric datasets with polyhedral boundaries on manycore GPUs.
ACM Trans. Graph., 2009
2008
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008