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Stefan Heldmann

Showing results (1-10 of 25) with videos related to

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International Journal of Computer Assisted Radiology and Surgery|September 21, 2019
Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scansAlessa Hering, Sven Kuckertz, Stefan Heldmann, et al.
Journal of Medical Imaging (Bellingham, Wash.)|December 11, 2023
Comparison of consecutive and restained sections for image registration in histopathologyJohannes Lotz, Nick Weiss, Jeroen van der Laak, et al.
International Journal of Computer Assisted Radiology and Surgery|November 5, 2022
MR-CT multi-atlas registration guided by fully automated brain structure segmentation with CNNsSina Walluscheck, Luca Canalini, Hannah Strohm, et al.
Medical Image Analysis|July 3, 2021
CNN-based lung CT registration with multiple anatomical constraintsAlessa Hering, Stephanie Häger, Jan Moltz, et al.
Journal of Medical Imaging (Bellingham, Wash.)|August 12, 2024
Generative adversarial network-based reconstruction of healthy anatomy for anomaly detection in brain CT scansSina Walluscheck, Annika Gerken, Ivana Galinovic, et al.
International Journal of Computer Assisted Radiology and Surgery|December 25, 2009
3D ultrasound-CT registration of the liver using combined landmark-intensity informationThomas Lange, Nils Papenberg, Stefan Heldmann, et al.
IEEE Transactions on Medical Imaging|April 10, 2017
Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable RegistrationJan Ruhaak, Thomas Polzin, Stefan Heldmann, et al.
Frontiers in Neuroimaging|August 9, 2023
Deep learning-based segmentation of brain parenchyma and ventricular system in CT scans in the presence of anomaliesAnnika Gerken, Sina Walluscheck, Peter Kohlmann, et al.
Journal of Medical Imaging (Bellingham, Wash.)|August 1, 2024
Learning three-dimensional aortic root assessment based on sparse annotationsJohanna Brosig, Nina Krüger, Inna Khasyanova, et al.
Medical Physics|September 26, 2025
Method for end-user validation of deformable dose accumulation uncertainty modelling toolsJohn Kipritidis, Alexandra Quinn, Tomasz Morgas, et al.
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
International Journal of Computer Assisted Radiology and Surgery|September 21, 2019
Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scansAlessa Hering, Sven Kuckertz, Stefan Heldmann, et al.
Journal of Medical Imaging (Bellingham, Wash.)|December 11, 2023
Comparison of consecutive and restained sections for image registration in histopathologyJohannes Lotz, Nick Weiss, Jeroen van der Laak, et al.
International Journal of Computer Assisted Radiology and Surgery|November 5, 2022
MR-CT multi-atlas registration guided by fully automated brain structure segmentation with CNNsSina Walluscheck, Luca Canalini, Hannah Strohm, et al.
Medical Image Analysis|July 3, 2021
CNN-based lung CT registration with multiple anatomical constraintsAlessa Hering, Stephanie Häger, Jan Moltz, et al.
Journal of Medical Imaging (Bellingham, Wash.)|August 12, 2024
Generative adversarial network-based reconstruction of healthy anatomy for anomaly detection in brain CT scansSina Walluscheck, Annika Gerken, Ivana Galinovic, et al.
International Journal of Computer Assisted Radiology and Surgery|December 25, 2009
3D ultrasound-CT registration of the liver using combined landmark-intensity informationThomas Lange, Nils Papenberg, Stefan Heldmann, et al.
IEEE Transactions on Medical Imaging|April 10, 2017
Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable RegistrationJan Ruhaak, Thomas Polzin, Stefan Heldmann, et al.
Frontiers in Neuroimaging|August 9, 2023
Deep learning-based segmentation of brain parenchyma and ventricular system in CT scans in the presence of anomaliesAnnika Gerken, Sina Walluscheck, Peter Kohlmann, et al.
Journal of Medical Imaging (Bellingham, Wash.)|August 1, 2024
Learning three-dimensional aortic root assessment based on sparse annotationsJohanna Brosig, Nina Krüger, Inna Khasyanova, et al.
Medical Physics|September 26, 2025
Method for end-user validation of deformable dose accumulation uncertainty modelling toolsJohn Kipritidis, Alexandra Quinn, Tomasz Morgas, et al.
Pageof 3