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Martin Urschler

Showing results (1-10 of 59) with videos related to

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Peerj|October 12, 2017
Segmentation and classification of colon glands with deep convolutional neural networks and total variation regularizationPhilipp Kainz, Michael Pfeiffer, Martin Urschler
Biodata Mining|February 15, 2025
Feature graphs for interpretable unsupervised tree ensembles: centrality, interaction, and application in disease subtypingChristel Sirocchi, Martin Urschler, Bastian Pfeifer
Annals of Human Biology|August 28, 2015
What automated age estimation of hand and wrist MRI data tells us about skeletal maturation in male adolescentsMartin Urschler, Sabine Grassegger, Darko Štern
Medical Image Analysis|October 1, 2017
Integrating geometric configuration and appearance information into a unified framework for anatomical landmark localizationMartin Urschler, Thomas Ebner, Darko Štern
Medical Image Analysis|August 11, 2019
Automated age estimation from MRI volumes of the handDarko Štern, Christian Payer, Martin Urschler
Bioengineering (Basel, Switzerland)|September 27, 2024
Implicit Is Not Enough: Explicitly Enforcing Anatomical Priors inside Landmark Localization ModelsSimon Johannes Joham, Arnela Hadzic, Martin Urschler
IEEE Journal of Biomedical and Health Informatics|May 7, 2019
Automatic Age Estimation and Majority Age Classification From Multi-Factorial MRI DataDarko Stern, Christian Payer, Nicola Giuliani, et al.
IEEE Journal of Biomedical and Health Informatics|August 29, 2025
Flow Matching-Based Data Synthesis for Robust Anatomical Landmark LocalizationArnela Hadzic, Lea Bogensperger, Andrea Berghold, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 16, 2007
Automatic point landmark matching for regularizing nonlinear intensity registration: application to thoracic CT imagesMartin Urschler, Christopher Zach, Hendrik Ditt, et al.
Medical Image Analysis|April 5, 2019
Integrating spatial configuration into heatmap regression based CNNs for landmark localizationChristian Payer, Darko Štern, Horst Bischof, et al.
Pageof 6

Showing results (1-10 of 59) with videos related to

Sort By:
Pageof 6
Peerj|October 12, 2017
Segmentation and classification of colon glands with deep convolutional neural networks and total variation regularizationPhilipp Kainz, Michael Pfeiffer, Martin Urschler
Biodata Mining|February 15, 2025
Feature graphs for interpretable unsupervised tree ensembles: centrality, interaction, and application in disease subtypingChristel Sirocchi, Martin Urschler, Bastian Pfeifer
Annals of Human Biology|August 28, 2015
What automated age estimation of hand and wrist MRI data tells us about skeletal maturation in male adolescentsMartin Urschler, Sabine Grassegger, Darko Štern
Medical Image Analysis|October 1, 2017
Integrating geometric configuration and appearance information into a unified framework for anatomical landmark localizationMartin Urschler, Thomas Ebner, Darko Štern
Medical Image Analysis|August 11, 2019
Automated age estimation from MRI volumes of the handDarko Štern, Christian Payer, Martin Urschler
Bioengineering (Basel, Switzerland)|September 27, 2024
Implicit Is Not Enough: Explicitly Enforcing Anatomical Priors inside Landmark Localization ModelsSimon Johannes Joham, Arnela Hadzic, Martin Urschler
IEEE Journal of Biomedical and Health Informatics|May 7, 2019
Automatic Age Estimation and Majority Age Classification From Multi-Factorial MRI DataDarko Stern, Christian Payer, Nicola Giuliani, et al.
IEEE Journal of Biomedical and Health Informatics|August 29, 2025
Flow Matching-Based Data Synthesis for Robust Anatomical Landmark LocalizationArnela Hadzic, Lea Bogensperger, Andrea Berghold, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 16, 2007
Automatic point landmark matching for regularizing nonlinear intensity registration: application to thoracic CT imagesMartin Urschler, Christopher Zach, Hendrik Ditt, et al.
Medical Image Analysis|April 5, 2019
Integrating spatial configuration into heatmap regression based CNNs for landmark localizationChristian Payer, Darko Štern, Horst Bischof, et al.
Pageof 6