Veronika A. M. Zimmer
Orcid: 0000-0002-5093-5854Affiliations:
- King's College London, UK
According to our database1,
Veronika A. M. Zimmer
authored at least 42 papers
between 2011 and 2024.
Collaborative distances:
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Bibliography
2024
Segmentation-guided Medical Image Registration - Quality Awareness using Label Noise Correctionn.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
Neural Implicit k-space with Trainable Periodic Activation Functions for Cardiac MR Imaging.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
2023
Medical Image Anal., October, 2023
Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view.
Medical Image Anal., 2023
Learning Physics-Inspired Regularization for Medical Image Registration with Hypernetworks.
CoRR, 2023
Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023
ICoNIK: Generating Respiratory-Resolved Abdominal MR Reconstructions Using Neural Implicit Representations in k-Space.
Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
Dynamic Graph Neural Representation Based Multi-modal Fusion Model for Cognitive Outcome Prediction in Stroke Cases.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
SoftwareX, 2022
A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Medical image analysis on left atrial LGE MRI for atrial fibrillation studies: A review.
Medical Image Anal., 2022
AtrialJSQnet: A New framework for joint segmentation and quantification of left atrium and scars incorporating spatial and shape information.
Medical Image Anal., 2022
Long-Term Cognitive Outcome Prediction in Stroke Patients Using Multi-task Learning on Imaging and Tabular Data.
Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 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
AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-center LGE MRIs.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Deep Generative Models to Simulate 2D Patient-Specific Ultrasound Images in Real Time.
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020
A Multi-task Approach Using Positional Information for Ultrasound Placenta Segmentation.
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020
Random Style Transfer Based Domain Generalization Networks Integrating Shape and Spatial Information.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020
2019
IEEE Trans. Medical Imaging, 2019
Robotic-Assisted Ultrasound for Fetal Imaging: Evolution from Single-Arm to Dual-Arm System.
Proceedings of the Towards Autonomous Robotic Systems - 20th Annual Conference, 2019
Towards Whole Placenta Segmentation at Late Gestation Using Multi-view Ultrasound Images.
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
Image Reconstruction in a Manifold of Image Patches: Application to Whole-Fetus Ultrasound Imaging.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
CoRR, 2018
Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018
Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 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
2017
Image similarity for registration and manifold learning: application to brain analysis.
PhD thesis, 2017
Learning and combining image neighborhoods using random forests for neonatal brain disease classification.
Medical Image Anal., 2017
2016
Statistically-driven 3D fiber reconstruction and denoising from multi-slice cardiac DTI using a Markov random field model.
Medical Image Anal., 2016
Quasi-Conformal Technique for Integrating and Validating Myocardial Tissue Characterization in MRI with Ex-Vivo Human Histological Data.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2016
2015
Comput. Medical Imaging Graph., 2015
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
2014
Proceedings of the Biomedical Image Registration - 6th International Workshop, 2014
2013
Patient-Specific Manifold Embedding of Multispectral Images Using Kernel Combinations.
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013
2011
Proceedings of the Bildverarbeitung für die Medizin 2011: Algorithmen - Systeme, 2011