Matthias Wilms

99 papers B 3Journal 42Unranked 54

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A novel gradient inversion attack framework to investigate privacy vulnerabilities during retinal image-based federated learning. Medical Image Anal. Christopher Nielsen, Matthias Wilms, Nils D. Forkert
2026	J	`jnl`	MACAW: A Causal Generative Model for Medical Imaging. Trans. Mach. Learn. Res. Vibujithan Vigneshwaran, Erik Y. Ohara, Matthias Wilms, Nils Daniel Forkert
2025	J	`jnl`	A cross-attention-based deep learning approach for predicting functional stroke outcomes using 4D CTP imaging and clinical metadata. Medical Image Anal. Kimberly Amador, Noah Pinel, Anthony J. Winder, Jens Fiehler, Matthias Wilms, Nils D. Forkert
2025	J	`jnl`	Accounting for population structure in deep learning models for genomic analysis. J. Biomed. Informatics Gabrielle Dagasso, Matthias Wilms, Raissa Souza, Nils D. Forkert
2025	J	`jnl`	Assessment of demographic bias in retinal age prediction machine learning models. Frontiers Artif. Intell. Christopher Nielsen, Emma A. M. Stanley, Matthias Wilms, Nils D. Forkert
2025	J	`jnl`	Deep Learning for Retinal Degeneration Assessment: A Comprehensive Analysis of the MARIO AMD Progression Challenge. CoRR Rachid Zeghlache, Ikram Brahim, Pierre-Henri Conze, Mathieu Lamard, Mohammed El Amine Lazouni, Elaouaber Zineb Aziza, Leila Ryma Lazouni, Christopher Nielsen, Ahmad O. Ahsan, Matthias Wilms, Nils D. Forkert, Lovre Antonio Budimir, Ivana Zadro Matovinovic, Donik Vrsnak, Sven Loncaric, Philippe Zhang, Weili Jiang, Yihao Li, Yiding Hao, Markus Frohmann, Patrick Binder, Marcel Huber, Taha Emre, Teresa Araújo, Marzieh Oghbaie, Hrvoje Bogunovic, Amerens A. Bekkers, Nina M. van Liebergen, Hugo J. Kuijf, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Alberto J. Beltrán-Carrero, Juan J. Gómez-Valverde, Javier Torresano-Rodríguez, Álvaro Caballero-Sastre, María J. Ledesma-Carbayo, Yosuke Yamagishi, Yi Ding, Robin Peretzke, Alexandra Ertl, Maximilian Fischer, Jessica Kächele, Sofiane Zehar, Karim Boukli Hacene, Thomas Monfort, Béatrice Cochener, Mostafa El Habib Daho, Anas-Alexis Benyoussef, Gwenolé Quellec
2025	J	`jnl`	Self-supervised identification and elimination of harmful datasets in distributed machine learning for medical image analysis. npj Digit. Medicine Raissa Souza, Emma A. M. Stanley, Anthony J. Winder, Chris Kang, Kimberly Amador, Erik Y. Ohara, Gabrielle Dagasso, Richard Camicioli, Oury Monchi, Zahinoor Ismail, Matthias Wilms, Nils D. Forkert
2025	—	`conf`	Semi-disentangled Spatiotemporal Implicit Neural Representations of Longitudinal Neuroimaging Data for Trajectory Classification. LMID@MICCAI Agampreet Aulakh, Nils D. Forkert, Matthias Wilms
2025	J	`jnl`	Semi-disentangled spatiotemporal implicit neural representations of longitudinal neuroimaging data for trajectory classification. CoRR Agampreet Aulakh, Nils D. Forkert, Matthias Wilms
2025	—	`conf`	Simulating Inter-observer Variability Across Clinical Experience Levels for Brain Tumour Segmentation. HAIC@MICCAI Haley Gillett, Emma A. M. Stanley, Raissa Souza, Matthias Wilms, Nils D. Forkert
2025	J	`jnl`	Structural network measures reveal the emergence of heavy-tailed degree distributions in lottery ticket multilayer perceptrons. Neural Networks Chris Kang, Jasmine A. Moore, Samuel Robertson, Matthias Wilms, Emma K. Towlson, Nils D. Forkert
2025	—	`conf`	Synthetic Ground Truth Counterfactuals for Comprehensive Evaluation of Causal Generative Models in Medical Imaging. MICCAI (8) Emma A. M. Stanley, Vibujithan Vigneshwaran, Erik Y. Ohara, Finn G. Vamosi, Nils D. Forkert, Matthias Wilms
2025	J	`jnl`	Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems. Trans. Mach. Learn. Res. Farzaneh Dehghani, Mahsa Dibaji, Fahim Anzum, Lily Dey, Alican Basdemir, Sayeh Bayat, Jean-Christophe Boucher, Steve Drew, Sarah Elaine Eaton, Richard Frayne, Gouri Ginde, Ashley D. Harris, Yani Ioannou, Catherine Lebel, John Lysack, Leslie Salgado Arzuaga, Emma A. M. Stanley, Roberto Souza, Ronnie de Souza Santos, Lana Wells, Tyler Williamson, Matthias Wilms, Mark Ungrin, Marina L. Gavrilova, Mariana P. Bento
2024	—	`conf`	A Lightweight 3D Conditional Diffusion Model for Self-explainable Brain Age Prediction in Adults and Children. MLCN@MICCAI Matthias Wilms, Ahmad O. Ahsan, Erik Y. Ohara, Gabrielle Dagasso, Elizabeth Macavoy, Emma A. M. Stanley, Vibujithan Vigneshwaran, Nils D. Forkert
2024	—	`conf`	A Multi-modal Deep Learning Framework for Final Infarct Prediction in Acute Ischemic Stroke: Combining CTA, NCCT, and Clinical Data. SWITCH/ISLES@MICCAI Eneko Uruñuela, Annabella Bregazzi, Matthias Wilms
2024	—	`conf`	A Novel Multimodal Deep Learning Fusion Framework for Predicting Neovascular Activity Evolution in Exudative Age-Related Macular Degeneration. DIAMOND/MARIO@MICCAI Christopher Nielsen, Ahmad O. Ahsan, Matthias Wilms, Nils D. Forkert
2024	J	`jnl`	A multi-center distributed learning approach for Parkinson's disease classification using the traveling model paradigm. Frontiers Artif. Intell. Raissa Souza, Emma A. M. Stanley, Milton Camacho, Richard Camicioli, Oury Monchi, Zahinoor Ismail, Matthias Wilms, Nils D. Forkert
2024	J	`jnl`	Annotation-free prediction of treatment-specific tissue outcome from 4D CT perfusion imaging in acute ischemic stroke. Comput. Medical Imaging Graph. Alejandro Gutierrez, Kimberly Amador, Anthony J. Winder, Matthias Wilms, Jens Fiehler, Nils D. Forkert
2024	J	`jnl`	Application of a localized morphometrics approach to imaging-derived brain phenotypes for genotype-phenotype associations in pediatric mental health and neurodevelopmental disorders. Frontiers Big Data Gabrielle Dagasso, Matthias Wilms, Sarah J. MacEachern, Nils D. Forkert
2024	—	`conf`	Assessing the Impact of Sociotechnical Harms in AI-Based Medical Image Analysis. FAIMI/EPIMI@MICCAI Emma A. M. Stanley, Raissa Souza, Anthony J. Winder, Matthias Wilms, G. Bruce Pike, Gabrielle Dagasso, Christopher Nielsen, Sarah J. MacEachern, Nils D. Forkert
2024	—	`conf`	Do Sites Benefit Equally from Distributed Learning in Medical Image Analysis? FAIMI/EPIMI@MICCAI Raissa Souza, Emma A. M. Stanley, Richard Camicioli, Oury Monchi, Zahinoor Ismail, Matthias Wilms, Nils D. Forkert
2024	J	`jnl`	Foundation model-driven distributed learning for enhanced retinal age prediction. J. Am. Medical Informatics Assoc. Christopher Nielsen, Raissa Souza, Matthias Wilms, Nils D. Forkert
2024	J	`jnl`	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 Raissa Souza, Anthony J. Winder, Emma A. M. Stanley, Vibujithan Vigneshwaran, Milton Camacho, Richard Camicioli, Oury Monchi, Matthias Wilms, Nils D. Forkert
2024	J	`jnl`	MACAW: A Causal Generative Model for Medical Imaging. CoRR Vibujithan Vigneshwaran, Erik Y. Ohara, Matthias Wilms, Nils Daniel Forkert
2024	J	`jnl`	Providing clinical context to the spatio-temporal analysis of 4D CT perfusion to predict acute ischemic stroke lesion outcomes. J. Biomed. Informatics Kimberly Amador, Alejandro Gutierrez, Anthony J. Winder, Jens Fiehler, Matthias Wilms, Nils D. Forkert
2024	J	`jnl`	Towards objective and systematic evaluation of bias in artificial intelligence for medical imaging. J. Am. Medical Informatics Assoc. Emma A. M. Stanley, Raissa Souza, Anthony J. Winder, Vedant Gulve, Kimberly Amador, Matthias Wilms, Nils D. Forkert
2024	J	`jnl`	Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems. CoRR Farzaneh Dehghani, Mahsa Dibaji, Fahim Anzum, Lily Dey, Alican Basdemir, Sayeh Bayat, Jean-Christophe Boucher, Steve Drew, Sarah Elaine Eaton, Richard Frayne, Gouri Ginde, Ashley D. Harris, Yani Ioannou, Catherine Lebel, John Lysack, Leslie Salgado Arzuaga, Emma A. M. Stanley, Roberto Souza, Ronnie de Souza Santos, Lana Wells, Tyler Williamson, Matthias Wilms, Zaman Wahid, Mark Ungrin, Marina L. Gavrilova, Mariana P. Bento
2024	—	`conf`	Unveiling the Temporal Patterns of a 4D CTP Stroke Lesion Outcome Prediction Model Through Attention Analysis. ISBI Kimberly Amador, Anthony J. Winder, Noah Pinel, Jens Fiehler, Matthias Wilms, Nils D. Forkert
2023	—	`conf`	A Flexible Framework for Simulating and Evaluating Biases in Deep Learning-Based Medical Image Analysis. MICCAI (2) Emma A. M. Stanley, Matthias Wilms, Nils D. Forkert
2023	—	`conf`	An analysis of intensity harmonization techniques for Parkinson's multi-site MRI datasets. Computer-Aided Diagnosis Raissa Souza, Emma A. M. Stanley, Milton Camacho, Matthias Wilms, Nils D. Forkert
2023	J	`jnl`	Dementia in Convolutional Neural Networks: Using Deep Learning Models to Simulate Neurodegeneration of the Visual System. Neuroinformatics Jasmine A. Moore, Anup Tuladhar, Zahinoor Ismail, Pauline Mouches, Matthias Wilms, Nils D. Forkert
2023	J	`jnl`	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. Raissa Souza, Matthias Wilms, Milton Camacho, G. Bruce Pike, Richard Camicioli, Oury Monchi, Nils D. Forkert
2023	—	`conf`	Improved multi-site Parkinson's disease classification using neuroimaging data with counterfactual inference. MIDL Vibujithan Vigneshwaran, Matthias Wilms, Milton Ivan Camacho, Raissa Souza, Nils D. Forkert
2023	J	`jnl`	Lesion-preserving unpaired image-to-image translation between MRI and CT from ischemic stroke patients. Int. J. Comput. Assist. Radiol. Surg. Alejandro Gutierrez, Anup Tuladhar, Matthias Wilms, Deepthi Rajashekar, Michael D. Hill, Andrew Demchuk, Mayank Goyal, Jens Fiehler, Nils D. Forkert
2023	J	`jnl`	Simulation of neuroplasticity in a CNN-based in-silico model of neurodegeneration of the visual system. Frontiers Comput. Neurosci. Jasmine A. Moore, Matthias Wilms, Alejandro Gutierrez, Zahinoor Ismail, Kayson Fakhar, Fatemeh Hadaeghi, Claus C. Hilgetag, Nils D. Forkert
2023	J	`jnl`	Towards objective and systematic evaluation of bias in medical imaging AI. CoRR Emma A. M. Stanley, Raissa Souza, Anthony J. Winder, Vedant Gulve, Kimberly Amador, Matthias Wilms, Nils D. Forkert
2022	J	`jnl`	A Deep Invertible 3-D Facial Shape Model for Interpretable Genetic Syndrome Diagnosis. IEEE J. Biomed. Health Informatics Jordan J. Bannister, Matthias Wilms, J. David Aponte, David C. Katz, Ophir D. Klein, Francois P. J. Bernier, Richard A. Spritz, Benedikt Hallgrímsson, Nils D. Forkert
2022	—	`conf`	A fully convolutional neural network for explainable classification of attention deficit hyperactivity disorder. Computer-Aided Diagnosis Emma A. M. Stanley, Deepthi Rajashekar, Pauline Mouches, Matthias Wilms, Kira Plettl, Nils D. Forkert
2022	—	`conf`	A morphometrics approach for inclusion of localised characteristics from medical imaging studies into genome-wide association studies. BIBM Gabrielle Dagasso, Matthias Wilms, Nils D. Forkert
2022	J	`jnl`	A systematic comparison of generative models for medical images. Int. J. Comput. Assist. Radiol. Surg. Hristina Uzunova, Matthias Wilms, Nils D. Forkert, Heinz Handels, Jan Ehrhardt
2022	J	`jnl`	An analysis of the effects of limited training data in distributed learning scenarios for brain age prediction. J. Am. Medical Informatics Assoc. Raissa Souza, Pauline Mouches, Matthias Wilms, Anup Tuladhar, Sönke Langner, Nils D. Forkert
2022	J	`jnl`	Detecting 3D syndromic faces as outliers using unsupervised normalizing flow models. Artif. Intell. Medicine Jordan J. Bannister, Matthias Wilms, J. David Aponte, David C. Katz, Ophir D. Klein, Francois P. J. Bernier, Richard A. Spritz, Benedikt Hallgrímsson, Nils D. Forkert
2022	—	`conf`	Disentangling Factors of Morphological Variation in an Invertible Brain Aging Model. MAD@MICCAI Matthias Wilms, Pauline Mouches, Jordan J. Bannister, Sönke Langner, Nils D. Forkert
2022	—	`conf`	Disproportionate Subgroup Impacts and Other Challenges of Fairness in Artificial Intelligence for Medical Image Analysis. EPIMI/ML-CDS@MICCAI Emma A. M. Stanley, Matthias Wilms, Nils D. Forkert
2022	—	`conf`	Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging. MICCAI (3) Kimberly Amador, Anthony J. Winder, Jens Fiehler, Matthias Wilms, Nils D. Forkert
2022	J	`jnl`	Invertible Modeling of Bidirectional Relationships in Neuroimaging With Normalizing Flows: Application to Brain Aging. IEEE Trans. Medical Imaging Matthias Wilms, Jordan J. Bannister, Pauline Mouches, M. Ethan MacDonald, Deepthi Rajashekar, Sönke Langner, Nils D. Forkert
2022	J	`jnl`	Localized Statistical Shape Models for Large-Scale Problems With Few Training Data. IEEE Trans. Biomed. Eng. Matthias Wilms, Jan Ehrhardt, Nils D. Forkert
2022	J	`jnl`	Predicting treatment-specific lesion outcomes in acute ischemic stroke from 4D CT perfusion imaging using spatio-temporal convolutional neural networks. Medical Image Anal. Kimberly Amador, Matthias Wilms, Anthony J. Winder, Jens Fiehler, Nils D. Forkert
2021	J	`jnl`	An Analysis of the Vulnerability of Two Common Deep Learning-Based Medical Image Segmentation Techniques to Model Inversion Attacks. Sensors Nagesh Subbanna, Matthias Wilms, Anup Tuladhar, Nils D. Forkert
2021	—	`conf`	Analysis of Generative Shape Modeling Approaches - Latent Space Properties and Interpretability. Bildverarbeitung für die Medizin Hristina Uzunova, Jesse Kruse, Paul Kaftan, Matthias Wilms, Nils D. Forkert, Heinz Handels, Jan Ehrhardt
2021	—	`conf`	Multi-institutional Travelling Model for Tumor Segmentation in MRI Datasets. BrainLes@MICCAI (2) Raissa Souza, Anup Tuladhar, Pauline Mouches, Matthias Wilms, Lakshay Tyagi, Nils D. Forkert
2021	—	`conf`	Stroke Lesion Outcome Prediction Based on 4D CT Perfusion Data Using Temporal Convolutional Networks. MIDL Kimberly Amador, Matthias Wilms, Anthony J. Winder, Jens Fiehler, Nils D. Forkert
2021	—	`conf`	Towards Self-explainable Classifiers and Regressors in Neuroimaging with Normalizing Flows. MLCN@MICCAI Matthias Wilms, Pauline Mouches, Jordan J. Bannister, Deepthi Rajashekar, Sönke Langner, Nils D. Forkert
2021	—	`conf`	Unifying Brain Age Prediction and Age-Conditioned Template Generation with a Deterministic Autoencoder. MIDL Pauline Mouches, Matthias Wilms, Deepthi Rajashekar, Sönke Langner, Nils Daniel Forkert
2020	—	`conf`	A Kernelized Multi-level Localization Method for Flexible Shape Modeling with Few Training Data. MICCAI (4) Matthias Wilms, Jan Ehrhardt, Nils D. Forkert
2020	—	`conf`	Bidirectional Modeling and Analysis of Brain Aging with Normalizing Flows. MLCN/RNO-AI@MICCAI Matthias Wilms, Jordan J. Bannister, Pauline Mouches, M. Ethan MacDonald, Deepthi Rajashekar, Sönke Langner, Nils D. Forkert
2020	J	`jnl`	Bidirectional Modeling and Analysis of Brain Aging with Normalizing Flows. CoRR Matthias Wilms, Jordan J. Bannister, Pauline Mouches, M. Ethan MacDonald, Deepthi Rajashekar, Sönke Langner, Nils D. Forkert
2020	J	`jnl`	Fully Automatic Landmarking of Syndromic 3D Facial Surface Scans Using 2D Images. Sensors Jordan J. Bannister, Sebastian Crites, J. David Aponte, David C. Katz, Matthias Wilms, Ophir D. Klein, Francois P. J. Bernier, Richard A. Spritz, Benedikt Hallgrímsson, Nils D. Forkert
2020	—	`conf`	Quantitative Comparison of Generative Shape Models for Medical Images. Bildverarbeitung für die Medizin Hristina Uzunova, Paul Kaftan, Matthias Wilms, Nils D. Forkert, Heinz Handels, Jan Ehrhardt
2020	J	`jnl`	Semantically Guided Large Deformation Estimation with Deep Networks. Sensors In Young Ha, Matthias Wilms, Mattias P. Heinrich
2019	J	`jnl`	Model-Based Sparse-to-Dense Image Registration for Realtime Respiratory Motion Estimation in Image-Guided Interventions. IEEE Trans. Biomed. Eng. In Young Ha, Matthias Wilms, Heinz Handels, Mattias P. Heinrich
2018	—	`conf`	Abstract: Populationsbasierte 4D Bewegungsatlanten für VR Simulationen. Bildverarbeitung für die Medizin André Mastmeyer, Matthias Wilms, Heinz Handels
2018	B	`conf`	Population-based respiratory 4D motion atlas construction and its application for VR simulations of liver punctures. Image Processing André Mastmeyer, Matthias Wilms, Heinz Handels
2018	J	`jnl`	Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge. IEEE J. Biomed. Health Informatics Avan Suinesiaputra, Pierre Ablin, Xènia Albà, Martino Alessandrini, Jack Allen, Wenjia Bai, Serkan Çimen, Peter Claes, Brett R. Cowan, Jan D'hooge, Nicolas Duchateau, Jan Ehrhardt, Alejandro F. Frangi, Ali Gooya, Vicente Grau, Karim Lekadir, Allen Lu, Anirban Mukhopadhyay, Ilkay Öksüz, Nripesh Parajuli, Xavier Pennec, Marco Pereañez, Catarina Pinto, Paolo Piras, Marc-Michel Rohé, Daniel Rueckert, Dennis Säring, Maxime Sermesant, Kaleem Siddiqi, Mahdi Tabassian, Luciano Teresi, Sotirios A. Tsaftaris, Matthias Wilms, Alistair A. Young, Xingyu Zhang, Pau Medrano-Gracia
2017	—	`conf`	Abstract: Learning of Representative Multi-Resolution Multi-Object Statistical Shape Models from Small Training Populations. Bildverarbeitung für die Medizin Matthias Wilms, Heinz Handels, Jan Ehrhardt
2017	—	`conf`	Abstract: Patch-Based Learning of Shape, Appearance, and Motion Models from Few Training Samples by Low-Rank Matrix Completion. Bildverarbeitung für die Medizin Matthias Wilms, Heinz Handels, Jan Ehrhardt
2017	J	`jnl`	Interpatient Respiratory Motion Model Transfer for Virtual Reality Simulations of Liver Punctures. CoRR André Mastmeyer, Matthias Wilms, Heinz Handels
2017	J	`jnl`	Interpatient Respiratory Motion Model Transfer for Virtual Reality Simulations of Liver Punctures. J. WSCG André Mastmeyer, Matthias Wilms, Heinz Handels
2017	—	`conf`	Interpatientenübertragung von Atemmodellen für das Virtual-Reality-Training von Punktionseingriffen. Bildverarbeitung für die Medizin André Mastmeyer, Matthias Wilms, Heinz Handels
2017	—	`conf`	Low Rank and Sparse Matrix Decomposition as Stroke Segmentation Prior: Useful or Not? A Random Forest-Based Evaluation Study. Bildverarbeitung für die Medizin René Werner, Daniel Schetelig, Thilo Sothmann, Eike Mücke, Matthias Wilms, Bastian Cheng, Nils Daniel Forkert
2017	—	`conf`	Model-Based 4D Segmentation of Cardiac Structures in Cine MRI Sequences. Bildverarbeitung für die Medizin Nassim Bouteldja, Matthias Wilms, Heinz Handels, Dennis Säring, Jan Ehrhardt
2017	—	`conf`	Multi-Object Segmentation in Chest X-Ray Using Cascaded Regression Ferns. Bildverarbeitung für die Medizin In Young Ha, Matthias Wilms, Mattias P. Heinrich
2017	J	`jnl`	Multi-resolution multi-object statistical shape models based on the locality assumption. Medical Image Anal. Matthias Wilms, Heinz Handels, Jan Ehrhardt
2017	J	`jnl`	Population-based Respiratory 4D Motion Atlas Construction and its Application for VR Simulations of Liver Punctures. CoRR André Mastmeyer, Matthias Wilms, Heinz Handels
2017	—	`conf`	Representative Patch-based Active Appearance Models Generated from Small Training Populations. MICCAI (1) Matthias Wilms, Heinz Handels, Jan Ehrhardt
2017	—	`conf`	Training CNNs for Image Registration from Few Samples with Model-based Data Augmentation. MICCAI (1) Hristina Uzunova, Matthias Wilms, Heinz Handels, Jan Ehrhardt
2017	—	`conf`	Vergleich von Verfahren zur automatischen Detektion der Position und Orientierung des Herzens in 4D-Cine-MRT-Bilddaten. Bildverarbeitung für die Medizin Marja Fleitmann, Ole Käferlein, Matthias Wilms, Dennis Säring, Heinz Handels, Jan Ehrhardt
2016	—	`conf`	Beyond cost function masking: RPCA-based non-linear registration in the context of VLSM. PRNI René Werner, Matthias Wilms, Bastian Cheng, Nils Daniel Forkert
2016	—	`conf`	Model-Based Regularisation for Respiratory Motion Estimation with Sparse Features in Image-Guided Interventions. MICCAI (3) Matthias Wilms, In Young Ha, Heinz Handels, Mattias Paul Heinrich
2016	—	`conf`	Patch-Based Low-Rank Matrix Completion for Learning of Shape and Motion Models from Few Training Samples. ECCV (4) Jan Ehrhardt, Matthias Wilms, Heinz Handels
2016	—	`conf`	Real-Time Ultrasound Simulation for Training of US-Guided Needle Insertion in Breathing Virtual Patients. MMVR André Mastmeyer, Matthias Wilms, Dirk Fortmeier, Julian Schröder, Heinz Handels
2015	—	`conf`	Automatic Detection of Cardiac Remodeling Using Global and Local Clinical Measures and Random Forest Classification. STACOM@MICCAI Jan Ehrhardt, Matthias Wilms, Heinz Handels, Dennis Säring
2015	J	`jnl`	Direct Visuo-Haptic 4D Volume Rendering Using Respiratory Motion Models. IEEE Trans. Haptics Dirk Fortmeier, Matthias Wilms, André Mastmeyer, Heinz Handels
2015	—	`conf`	Estimation of corresponding locations in ipsilateral mammograms: a comparison of different methods. Computer-Aided Diagnosis Matthias Wilms, Julia Krüger, Mirko Marx, Jan Ehrhardt, Arpad Bischof, Heinz Handels
2015	—	`conf`	Image Features for Brain Lesion Segmentation Using Random Forests. Brainles@MICCAI Oskar Maier, Matthias Wilms, Heinz Handels
2015	—	`conf`	Modellbasierte Simulation der Atembewegung für das Virtual-Reality-Training von Punktionseingriffen. Bildverarbeitung für die Medizin Matthias Wilms, Dirk Fortmeier, André Mastmeyer, Heinz Handels
2015	—	`conf`	Multi-atlas Segmentation Using Patch-Based Joint Label Fusion with Non-Negative Least Squares Regression. Patch-MI@MICCAI Mattias P. Heinrich, Matthias Wilms, Heinz Handels
2014	—	`conf`	Ischemic stroke lesion segmentation in multi-spectral MR images with support vector machine classifiers. Computer-Aided Diagnosis Oskar Maier, Matthias Wilms, Janina von der Gablentz, Ulrike Krämer, Heinz Handels
2014	—	`conf`	Kombination von Atemsignalen zur Optimierung der Prädiktion komplexer atmungsbedingter Organ- und Tumorbewegungen. Bildverarbeitung für die Medizin Jonas Ortmüller, Matthias Wilms, René Werner, Heinz Handels
2014	—	`conf`	Segmentierung von ischämischen Schlaganfall-Läsionen in multispektralen MR-Bildern mit Random Decision Forests. Bildverarbeitung für die Medizin Oskar Maier, Matthias Wilms, Janina von der Gablentz, Ulrike Krämer, Heinz Handels
2014	—	`conf`	Statistical analysis of surrogate signals to incorporate respiratory motion variability into radiotherapy treatment planning. Image-Guided Procedures Matthias Wilms, Jan Ehrhardt, René Werner, Mirko Marx, Heinz Handels
2013	—	`conf`	Simulation und Evaluation tiefenbildgebender Verfahren zur Prädiktion atmungsbedingter Organ- und Tumorbewegungen. Bildverarbeitung für die Medizin Maximilian Blendowski, Matthias Wilms, René Werner, Heinz Handels
2013	B	`conf`	Surrogate-based diffeomorphic motion estimation for radiation therapy: comparison of multivariate regression approaches. Image Processing Matthias Wilms, René Werner, Jan Ehrhardt, Alexander Schmidt-Richberg, Maximilian Blendowski, Heinz Handels
2012	—	`conf`	A 4D Statistical Shape Model for Automated Segmentation of Lungs with Large Tumors. MICCAI (2) Matthias Wilms, Jan Ehrhardt, Heinz Handels
2012	—	`conf`	A Diffeomorphic Framework for Surrogate-based Motion Estimation in Radiation Therapy: Concept and First Evaluation. GI-Jahrestagung René Werner, Jan Ehrhardt, Alexander Schmidt-Richberg, Matthias Wilms, Maximilian Blendowski, Heinz Handels
2012	—	`conf`	Evaluation of Algorithms for Lung Fissure Segmentation in CT Images. Bildverarbeitung für die Medizin Alexander Schmidt-Richberg, Jan Ehrhardt, Matthias Wilms, René Werner, Heinz Handels
2012	—	`conf`	Modellbasierte 4D-Segmentierung von Lungen mit großen Tumoren in räumlichzeitlichen CT-Bildfolgen. GI-Jahrestagung Matthias Wilms, Jan Ehrhardt, Heinz Handels
2012	B	`conf`	Pulmonary lobe segmentation with level sets. Image Processing Alexander Schmidt-Richberg, Jan Ehrhardt, Matthias Wilms, René Werner, Heinz Handels
2011	—	`conf`	Automatische Segmentierung der Lungenflügel in CT-Daten. Bildverarbeitung für die Medizin Matthias Wilms, Jan Ehrhardt, Heinz Handels