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Matthias Wilms

Showing results (11-20 of 71) with videos related to

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IEEE Transactions on Haptics|June 19, 2015
Direct Visuo-Haptic 4D Volume Rendering Using Respiratory Motion ModelsDirk Fortmeier, Matthias Wilms, Andre Mastmeyer, et al.
Sensors (Basel, Switzerland)|July 2, 2021
An Analysis of the Vulnerability of Two Common Deep Learning-Based Medical Image Segmentation Techniques to Model Inversion AttacksNagesh Subbanna, Matthias Wilms, Anup Tuladhar, et al.
Journal of Biomedical Informatics|July 7, 2025
Accounting for population structure in deep learning models for genomic analysisGabrielle Dagasso, Matthias Wilms, Raissa Souza, et al.
Journal of the American Medical Informatics Association : JAMIA|September 3, 2024
Foundation model-driven distributed learning for enhanced retinal age predictionChristopher Nielsen, Raissa Souza, Matthias Wilms, et al.
Biomedicines|October 23, 2021
Treatment Efficacy Analysis in Acute Ischemic Stroke Patients Using In Silico Modeling Based on Machine Learning: A Proof-of-PrincipleAnthony Winder, Matthias Wilms, Jens Fiehler, et al.
Physics in Medicine and Biology|May 4, 2017
Subpopulation-based correspondence modelling for improved respiratory motion estimation in the presence of inter-fraction motion variationsMatthias Wilms, René Werner, Tokihiro Yamamoto, et al.
Studies in Health Technology and Informatics|April 6, 2016
Real-Time Ultrasound Simulation for Training of US-Guided Needle Insertion in Breathing Virtual PatientsAndre Mastmeyer, Matthias Wilms, Dirk Fortmeier, et al.
IEEE Transactions on Bio-Medical Engineering|July 12, 2018
Model-Based Sparse-to-Dense Image Registration for Realtime Respiratory Motion Estimation in Image-Guided InterventionsIn Young Ha, Matthias Wilms, Heinz Handels, et al.
Frontiers in Big Data|December 26, 2024
Application of a localized morphometrics approach to imaging-derived brain phenotypes for genotype-phenotype associations in pediatric mental health and neurodevelopmental disordersGabrielle Dagasso, Matthias Wilms, Sarah J MacEachern, et al.
Medical Image Analysis|September 14, 2022
Predicting treatment-specific lesion outcomes in acute ischemic stroke from 4D CT perfusion imaging using spatio-temporal convolutional neural networksKimberly Amador, Matthias Wilms, Anthony Winder, et al.
Pageof 8

Showing results (11-20 of 71) with videos related to

Sort By:
Pageof 8
IEEE Transactions on Haptics|June 19, 2015
Direct Visuo-Haptic 4D Volume Rendering Using Respiratory Motion ModelsDirk Fortmeier, Matthias Wilms, Andre Mastmeyer, et al.
Sensors (Basel, Switzerland)|July 2, 2021
An Analysis of the Vulnerability of Two Common Deep Learning-Based Medical Image Segmentation Techniques to Model Inversion AttacksNagesh Subbanna, Matthias Wilms, Anup Tuladhar, et al.
Journal of Biomedical Informatics|July 7, 2025
Accounting for population structure in deep learning models for genomic analysisGabrielle Dagasso, Matthias Wilms, Raissa Souza, et al.
Journal of the American Medical Informatics Association : JAMIA|September 3, 2024
Foundation model-driven distributed learning for enhanced retinal age predictionChristopher Nielsen, Raissa Souza, Matthias Wilms, et al.
Biomedicines|October 23, 2021
Treatment Efficacy Analysis in Acute Ischemic Stroke Patients Using In Silico Modeling Based on Machine Learning: A Proof-of-PrincipleAnthony Winder, Matthias Wilms, Jens Fiehler, et al.
Physics in Medicine and Biology|May 4, 2017
Subpopulation-based correspondence modelling for improved respiratory motion estimation in the presence of inter-fraction motion variationsMatthias Wilms, René Werner, Tokihiro Yamamoto, et al.
Studies in Health Technology and Informatics|April 6, 2016
Real-Time Ultrasound Simulation for Training of US-Guided Needle Insertion in Breathing Virtual PatientsAndre Mastmeyer, Matthias Wilms, Dirk Fortmeier, et al.
IEEE Transactions on Bio-Medical Engineering|July 12, 2018
Model-Based Sparse-to-Dense Image Registration for Realtime Respiratory Motion Estimation in Image-Guided InterventionsIn Young Ha, Matthias Wilms, Heinz Handels, et al.
Frontiers in Big Data|December 26, 2024
Application of a localized morphometrics approach to imaging-derived brain phenotypes for genotype-phenotype associations in pediatric mental health and neurodevelopmental disordersGabrielle Dagasso, Matthias Wilms, Sarah J MacEachern, et al.
Medical Image Analysis|September 14, 2022
Predicting treatment-specific lesion outcomes in acute ischemic stroke from 4D CT perfusion imaging using spatio-temporal convolutional neural networksKimberly Amador, Matthias Wilms, Anthony Winder, et al.
Pageof 8