Matthias Wilms
Orcid: 0000-0001-8845-360X
According to our database1,
Matthias Wilms
authored at least 70 papers
between 2011 and 2024.
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Bibliography
2024
Identifying Biases in a Multicenter MRI Database for Parkinson's Disease Classification: Is the Disease Classifier a Secret Site Classifier?
IEEE J. Biomed. Health Informatics, April, 2024
Providing clinical context to the spatio-temporal analysis of 4D CT perfusion to predict acute ischemic stroke lesion outcomes.
J. Biomed. Informatics, January, 2024
2023
Image-encoded biological and non-biological variables may be used as shortcuts in deep learning models trained on multisite neuroimaging data.
J. Am. Medical Informatics Assoc., November, 2023
Lesion-preserving unpaired image-to-image translation between MRI and CT from ischemic stroke patients.
Int. J. Comput. Assist. Radiol. Surg., May, 2023
Simulation of neuroplasticity in a CNN-based in-silico model of neurodegeneration of the visual system.
Frontiers Comput. Neurosci., February, 2023
Dementia in Convolutional Neural Networks: Using Deep Learning Models to Simulate Neurodegeneration of the Visual System.
Neuroinformatics, January, 2023
CoRR, 2023
Improved multi-site Parkinson's disease classification using neuroimaging data with counterfactual inference.
Proceedings of the Medical Imaging with Deep Learning, 2023
A Flexible Framework for Simulating and Evaluating Biases in Deep Learning-Based Medical Image Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
An analysis of intensity harmonization techniques for Parkinson's multi-site MRI datasets.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
2022
Invertible Modeling of Bidirectional Relationships in Neuroimaging With Normalizing Flows: Application to Brain Aging.
IEEE Trans. Medical Imaging, 2022
A Deep Invertible 3-D Facial Shape Model for Interpretable Genetic Syndrome Diagnosis.
IEEE J. Biomed. Health Informatics, 2022
IEEE Trans. Biomed. Eng., 2022
Predicting treatment-specific lesion outcomes in acute ischemic stroke from 4D CT perfusion imaging using spatio-temporal convolutional neural networks.
Medical Image Anal., 2022
An analysis of the effects of limited training data in distributed learning scenarios for brain age prediction.
J. Am. Medical Informatics Assoc., 2022
Int. J. Comput. Assist. Radiol. Surg., 2022
Artif. Intell. Medicine, 2022
Proceedings of the Medical Applications with Disentanglements - First MICCAI Workshop, 2022
Disproportionate Subgroup Impacts and Other Challenges of Fairness in Artificial Intelligence for Medical Image Analysis.
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
Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
A fully convolutional neural network for explainable classification of attention deficit hyperactivity disorder.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
A morphometrics approach for inclusion of localised characteristics from medical imaging studies into genome-wide association studies.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
An Analysis of the Vulnerability of Two Common Deep Learning-Based Medical Image Segmentation Techniques to Model Inversion Attacks.
Sensors, 2021
Unifying Brain Age Prediction and Age-Conditioned Template Generation with a Deterministic Autoencoder.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021
Stroke Lesion Outcome Prediction Based on 4D CT Perfusion Data Using Temporal Convolutional Networks.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021
Towards Self-explainable Classifiers and Regressors in Neuroimaging with Normalizing Flows.
Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
Analysis of Generative Shape Modeling Approaches - Latent Space Properties and Interpretability.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021
2020
Sensors, 2020
A Kernelized Multi-level Localization Method for Flexible Shape Modeling with Few Training Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020
2019
Model-Based Sparse-to-Dense Image Registration for Realtime Respiratory Motion Estimation in Image-Guided Interventions.
IEEE Trans. Biomed. Eng., 2019
2018
Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge.
IEEE J. Biomed. Health Informatics, 2018
Population-based respiratory 4D motion atlas construction and its application for VR simulations of liver punctures.
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018
2017
Multi-resolution multi-object statistical shape models based on the locality assumption.
Medical Image Anal., 2017
Interpatient Respiratory Motion Model Transfer for Virtual Reality Simulations of Liver Punctures.
J. WSCG, 2017
Representative Patch-based Active Appearance Models Generated from Small Training Populations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Training CNNs for Image Registration from Few Samples with Model-based Data Augmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Abstract: Learning of Representative Multi-Resolution Multi-Object Statistical Shape Models from Small Training Populations.
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017
Abstract: Patch-Based Learning of Shape, Appearance, and Motion Models from Few Training Samples by Low-Rank Matrix Completion.
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017
Low Rank and Sparse Matrix Decomposition as Stroke Segmentation Prior: Useful or Not? A Random Forest-Based Evaluation Study.
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017
Interpatientenübertragung von Atemmodellen für das Virtual-Reality-Training von Punktionseingriffen.
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017
Vergleich von Verfahren zur automatischen Detektion der Position und Orientierung des Herzens in 4D-Cine-MRT-Bilddaten.
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017
2016
Beyond cost function masking: RPCA-based non-linear registration in the context of VLSM.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016
Real-Time Ultrasound Simulation for Training of US-Guided Needle Insertion in Breathing Virtual Patients.
Proceedings of the Medicine Meets Virtual Reality 22 - NextMed, 2016
Model-Based Regularisation for Respiratory Motion Estimation with Sparse Features in Image-Guided Interventions.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Patch-Based Low-Rank Matrix Completion for Learning of Shape and Motion Models from Few Training Samples.
Proceedings of the Computer Vision - ECCV 2016, 2016
2015
IEEE Trans. Haptics, 2015
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015
Multi-atlas Segmentation Using Patch-Based Joint Label Fusion with Non-Negative Least Squares Regression.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015
Automatic Detection of Cardiac Remodeling Using Global and Local Clinical Measures and Random Forest Classification.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015
Estimation of corresponding locations in ipsilateral mammograms: a comparison of different methods.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Modellbasierte Simulation der Atembewegung für das Virtual-Reality-Training von Punktionseingriffen.
Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015
2014
Statistical analysis of surrogate signals to incorporate respiratory motion variability into radiotherapy treatment planning.
Proceedings of the Medical Imaging 2014: Image-Guided Procedures, 2014
Ischemic stroke lesion segmentation in multi-spectral MR images with support vector machine classifiers.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014
Kombination von Atemsignalen zur Optimierung der Prädiktion komplexer atmungsbedingter Organ- und Tumorbewegungen.
Proceedings of the Bildverarbeitung für die Medizin 2014, Algorithmen - Systeme, 2014
Segmentierung von ischämischen Schlaganfall-Läsionen in multispektralen MR-Bildern mit Random Decision Forests.
Proceedings of the Bildverarbeitung für die Medizin 2014, Algorithmen - Systeme, 2014
2013
Surrogate-based diffeomorphic motion estimation for radiation therapy: comparison of multivariate regression approaches.
Proceedings of the Medical Imaging 2013: Image Processing, 2013
Simulation und Evaluation tiefenbildgebender Verfahren zur Prädiktion atmungsbedingter Organ- und Tumorbewegungen.
Proceedings of the Bildverarbeitung für die Medizin 2013 - Algorithmen - Systeme, 2013
2012
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Modellbasierte 4D-Segmentierung von Lungen mit großen Tumoren in räumlichzeitlichen CT-Bildfolgen.
Proceedings of the 57. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie, 42. Jahrestagung der Gesellschaft für Informatik, Was bewegt uns in der/die Zukunft?, 2012
A Diffeomorphic Framework for Surrogate-based Motion Estimation in Radiation Therapy: Concept and First Evaluation.
Proceedings of the 57. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie, 42. Jahrestagung der Gesellschaft für Informatik, Was bewegt uns in der/die Zukunft?, 2012
Proceedings of the Bildverarbeitung für die Medizin 2012 - Algorithmen - Systeme, 2012
2011
Proceedings of the Bildverarbeitung für die Medizin 2011: Algorithmen - Systeme, 2011