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Mathias Unberath

Showing results (61-70 of 138) with videos related to

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Scientific Reports|January 5, 2024
Deep learning-based identification of eyes at risk for glaucoma surgeryRuolin Wang, Chris Bradley, Patrick Herbert, et al.
IEEE Transactions on Medical Imaging|November 6, 2019
Dense Depth Estimation in Monocular Endoscopy With Self-Supervised Learning MethodsXingtong Liu, Ayushi Sinha, Masaru Ishii, et al.
International Journal of Computer Assisted Radiology and Surgery|March 14, 2019
Interactive Flying Frustums (IFFs): spatially aware surgical data visualizationJavad Fotouhi, Mathias Unberath, Tianyu Song, et al.
BJR Open|August 1, 2024
Generative Artificial Intelligence: Enhancing Patient Education in Cardiovascular ImagingAhmed Marey, Abdelrahman M Saad, Benjamin D Killeen, et al.
Ophthalmology|April 1, 2023
Predicting Visual Field Worsening with Longitudinal OCT Data Using a Gated Transformer NetworkKaihua Hou, Chris Bradley, Patrick Herbert, et al.
Ophthalmology. Glaucoma|March 21, 2023
Forecasting Risk of Future Rapid Glaucoma Worsening Using Early Visual Field, OCT, and Clinical DataPatrick Herbert, Kaihua Hou, Chris Bradley, et al.
Medical Image Analysis|June 20, 2021
Exploring partial intrinsic and extrinsic symmetry in 3D medical imagingJavad Fotouhi, Giacomo Taylor, Mathias Unberath, et al.
Healthcare Technology Letters|November 23, 2018
Augmented reality-based feedback for technician-in-the-loop C-arm repositioningMathias Unberath, Javad Fotouhi, Jonas Hajek, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)|April 15, 2024
MoViT: Memorizing Vision Transformers for Medical Image AnalysisYiqing Shen, Pengfei Guo, Jingpu Wu, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|April 15, 2024
Pelphix: Surgical Phase Recognition from X-ray Images in Percutaneous Pelvic FixationBenjamin D Killeen, Han Zhang, Jan Mangulabnan, et al.
Pageof 14

Showing results (61-70 of 138) with videos related to

Sort By:
Pageof 14
Scientific Reports|January 5, 2024
Deep learning-based identification of eyes at risk for glaucoma surgeryRuolin Wang, Chris Bradley, Patrick Herbert, et al.
IEEE Transactions on Medical Imaging|November 6, 2019
Dense Depth Estimation in Monocular Endoscopy With Self-Supervised Learning MethodsXingtong Liu, Ayushi Sinha, Masaru Ishii, et al.
International Journal of Computer Assisted Radiology and Surgery|March 14, 2019
Interactive Flying Frustums (IFFs): spatially aware surgical data visualizationJavad Fotouhi, Mathias Unberath, Tianyu Song, et al.
BJR Open|August 1, 2024
Generative Artificial Intelligence: Enhancing Patient Education in Cardiovascular ImagingAhmed Marey, Abdelrahman M Saad, Benjamin D Killeen, et al.
Ophthalmology|April 1, 2023
Predicting Visual Field Worsening with Longitudinal OCT Data Using a Gated Transformer NetworkKaihua Hou, Chris Bradley, Patrick Herbert, et al.
Ophthalmology. Glaucoma|March 21, 2023
Forecasting Risk of Future Rapid Glaucoma Worsening Using Early Visual Field, OCT, and Clinical DataPatrick Herbert, Kaihua Hou, Chris Bradley, et al.
Medical Image Analysis|June 20, 2021
Exploring partial intrinsic and extrinsic symmetry in 3D medical imagingJavad Fotouhi, Giacomo Taylor, Mathias Unberath, et al.
Healthcare Technology Letters|November 23, 2018
Augmented reality-based feedback for technician-in-the-loop C-arm repositioningMathias Unberath, Javad Fotouhi, Jonas Hajek, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)|April 15, 2024
MoViT: Memorizing Vision Transformers for Medical Image AnalysisYiqing Shen, Pengfei Guo, Jingpu Wu, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|April 15, 2024
Pelphix: Surgical Phase Recognition from X-ray Images in Percutaneous Pelvic FixationBenjamin D Killeen, Han Zhang, Jan Mangulabnan, et al.
Pageof 14