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Georg Langs

Showing results (31-40 of 160) with videos related to

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Biology Methods & Protocols|June 4, 2026
Non-contiguous computed tomography lung scans can be manipulated to permit artificial intelligence analyses for interstitial lung disease in systemic sclerosisMurray Baron, Quan Nguyen, Bojan Kovacina, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 30, 2015
Multi-subject Manifold Alignment of Functional Network Structures via Joint DiagonalizationKarl-Heinz Nenning, Kathrin Kollndorfer, Veronika Schöpf, et al.
European Radiology|November 21, 2024
Artificial intelligence in respiratory pandemics-ready for disease X? A scoping reviewJennifer Straub, Enrique Estrada Lobato, Diana Paez, et al.
European Radiology Experimental|August 21, 2020
Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problemJohannes Hofmanninger, Forian Prayer, Jeanny Pan, et al.
Radiology. Cardiothoracic Imaging|March 29, 2021
Prospects and Challenges of Radiomics by Using Nononcologic Routine Chest CTSebastian Röhrich, Johannes Hofmanninger, Florian Prayer, et al.
Medical Image Analysis|March 5, 2019
f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networksThomas Schlegl, Philipp Seeböck, Sebastian M Waldstein, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|December 9, 2014
Longitudinal alignment of disease progression in fibrosing interstitial lung diseaseWolf-Dieter Vogl, Helmut Prosch, Christina Müller-Mang, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 30, 2015
Predicting Semantic Descriptions from Medical Images with Convolutional Neural NetworksThomas Schlegl, Sebastian M Waldstein, Wolf-Dieter Vogl, et al.
IEEE Transactions on Medical Imaging|May 6, 2017
Predicting Macular Edema Recurrence from Spatio-Temporal Signatures in Optical Coherence Tomography ImagesWolf-Dieter Vogl, Sebastian M Waldstein, Bianca S Gerendas, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 30, 2007
Object localization based on Markov random fields and symmetry interest pointsRené Donner, Branislav Micusik, Georg Langs, et al.
Pageof 16

Showing results (31-40 of 160) with videos related to

Sort By:
Pageof 16
Biology Methods & Protocols|June 4, 2026
Non-contiguous computed tomography lung scans can be manipulated to permit artificial intelligence analyses for interstitial lung disease in systemic sclerosisMurray Baron, Quan Nguyen, Bojan Kovacina, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 30, 2015
Multi-subject Manifold Alignment of Functional Network Structures via Joint DiagonalizationKarl-Heinz Nenning, Kathrin Kollndorfer, Veronika Schöpf, et al.
European Radiology|November 21, 2024
Artificial intelligence in respiratory pandemics-ready for disease X? A scoping reviewJennifer Straub, Enrique Estrada Lobato, Diana Paez, et al.
European Radiology Experimental|August 21, 2020
Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problemJohannes Hofmanninger, Forian Prayer, Jeanny Pan, et al.
Radiology. Cardiothoracic Imaging|March 29, 2021
Prospects and Challenges of Radiomics by Using Nononcologic Routine Chest CTSebastian Röhrich, Johannes Hofmanninger, Florian Prayer, et al.
Medical Image Analysis|March 5, 2019
f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networksThomas Schlegl, Philipp Seeböck, Sebastian M Waldstein, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|December 9, 2014
Longitudinal alignment of disease progression in fibrosing interstitial lung diseaseWolf-Dieter Vogl, Helmut Prosch, Christina Müller-Mang, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 30, 2015
Predicting Semantic Descriptions from Medical Images with Convolutional Neural NetworksThomas Schlegl, Sebastian M Waldstein, Wolf-Dieter Vogl, et al.
IEEE Transactions on Medical Imaging|May 6, 2017
Predicting Macular Edema Recurrence from Spatio-Temporal Signatures in Optical Coherence Tomography ImagesWolf-Dieter Vogl, Sebastian M Waldstein, Bianca S Gerendas, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 30, 2007
Object localization based on Markov random fields and symmetry interest pointsRené Donner, Branislav Micusik, Georg Langs, et al.
Pageof 16