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Hannes Nickisch

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

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IEEE Transactions on Pattern Analysis and Machine Intelligence|January 25, 2014
Attribute-based classification for zero-shot visual object categorizationChristoph H Lampert, Hannes Nickisch, Stefan Harmeling
Magnetic Resonance in Medicine|February 13, 2013
Blind retrospective motion correction of MR imagesAlexander Loktyushin, Hannes Nickisch, Rolf Pohmann, et al.
Magnetic Resonance in Medicine|October 28, 2009
Optimization of k-space trajectories for compressed sensing by Bayesian experimental designMatthias Seeger, Hannes Nickisch, Rolf Pohmann, et al.
Magnetic Resonance in Medicine|April 25, 2014
Blind multirigid retrospective motion correction of MR imagesAlexander Loktyushin, Hannes Nickisch, Rolf Pohmann, et al.
Scientific Reports|April 24, 2019
Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray ClassificationIvo M Baltruschat, Hannes Nickisch, Michael Grass, et al.
Journal of Medical Imaging (Bellingham, Wash.)|August 5, 2024
Dose robustness of deep learning models for anatomic segmentation of computed tomography imagesArtyom Tsanda, Hannes Nickisch, Tobias Wissel, et al.
European Radiology|November 21, 2020
Smart chest X-ray worklist prioritization using artificial intelligence: a clinical workflow simulationIvo Baltruschat, Leonhard Steinmeister, Hannes Nickisch, et al.
Medical Physics|January 23, 2018
A functionally personalized boundary condition model to improve estimates of fractional flow reserve with CT (CT-FFR)Moti Freiman, Hannes Nickisch, Holger Schmitt, et al.
Medical Physics|January 24, 2017
Improving CCTA-based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentationMoti Freiman, Hannes Nickisch, Sven Prevrhal, et al.
Journal of Medical Imaging (Bellingham, Wash.)|April 1, 2022
Cascaded learning in intravascular ultrasound: coronary stent delineation in manual pullbacksTobias Wissel, Katharina A Riedl, Klaus Schaefers, et al.
Pageof 1

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

Sort By:
Pageof 1
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 25, 2014
Attribute-based classification for zero-shot visual object categorizationChristoph H Lampert, Hannes Nickisch, Stefan Harmeling
Magnetic Resonance in Medicine|February 13, 2013
Blind retrospective motion correction of MR imagesAlexander Loktyushin, Hannes Nickisch, Rolf Pohmann, et al.
Magnetic Resonance in Medicine|October 28, 2009
Optimization of k-space trajectories for compressed sensing by Bayesian experimental designMatthias Seeger, Hannes Nickisch, Rolf Pohmann, et al.
Magnetic Resonance in Medicine|April 25, 2014
Blind multirigid retrospective motion correction of MR imagesAlexander Loktyushin, Hannes Nickisch, Rolf Pohmann, et al.
Scientific Reports|April 24, 2019
Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray ClassificationIvo M Baltruschat, Hannes Nickisch, Michael Grass, et al.
Journal of Medical Imaging (Bellingham, Wash.)|August 5, 2024
Dose robustness of deep learning models for anatomic segmentation of computed tomography imagesArtyom Tsanda, Hannes Nickisch, Tobias Wissel, et al.
European Radiology|November 21, 2020
Smart chest X-ray worklist prioritization using artificial intelligence: a clinical workflow simulationIvo Baltruschat, Leonhard Steinmeister, Hannes Nickisch, et al.
Medical Physics|January 23, 2018
A functionally personalized boundary condition model to improve estimates of fractional flow reserve with CT (CT-FFR)Moti Freiman, Hannes Nickisch, Holger Schmitt, et al.
Medical Physics|January 24, 2017
Improving CCTA-based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentationMoti Freiman, Hannes Nickisch, Sven Prevrhal, et al.
Journal of Medical Imaging (Bellingham, Wash.)|April 1, 2022
Cascaded learning in intravascular ultrasound: coronary stent delineation in manual pullbacksTobias Wissel, Katharina A Riedl, Klaus Schaefers, et al.
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