Navab, Nassir

Pose-Dependent Weights and Domain Randomization for Fully Automatic X-Ray to CT Registration

Grimm, M., Esteban, J., Unberath, M., & Navab, N. (2021) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 34

Analyzing the co-localization of substantia nigra hyper-echogenicities and iron accumulation in Parkinson's disease: A multi-modal atlas study with transcranial ultrasound and MRI

Ahmadi, S.-A., Bötzel, K., Levin, J., Maiostre, J., Klein, T., Wein, W., Rozanski, V., Dietrich, O., Ertl-Wagner, B., Navab, N., et al. (2020) · NeuroImage: Clinical

Parkinson's Disease Mechanisms and TreatmentsAdvanced MRI Techniques and Applications

Cited by 31

X-Ray PoseNet: 6 DoF Pose Estimation for Mobile X-Ray Devices

Bui, M., Albarqouni, S., Schrapp, M., Navab, N., & Ilic, S. (2017) · 2017 IEEE Winter Conference on Applications of Computer Vision (WACV)

3D Shape Modeling and AnalysisAdvanced Neural Network Applications

Cited by 27

A Patient-Specific Self-supervised Model for Automatic X-Ray/CT Registration

Zhang, B., Faghihroohi, S., Azampour, M. F., Liu, S., Ghotbi, R., Schunkert, H., & Navab, N. (2023) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 27

Towards clinical translation of augmented orthopedic surgery: from pre-op CT to intra-op x-ray via RGBD sensing

Tucker, E. W., Fotouhi, J., Lee, S. C., Unberath, M., Fuerst, B., Johnson, A., Armand, M., Osgood, G. M., & Navab, N. (2018) · Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications

Augmented Reality ApplicationsAnatomy and Medical Technology

Cited by 19

REAL-TIME OBJECT DETECTION AND TRACKING FOR INDUSTRIAL APPLICATIONS

Benhimane, S., Najafi, H., Grundmann, M., Genç, Y., Navab, N., & Malis, E. (2008) · Proceedings of the Third International Conference on Computer Vision Theory and Applications

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 14

Deep convolutional neural networks for automatic identification of epileptic seizures in infrared and depth images

Achilles, F., Belagiannis, V., Tombari, F., Loesch, A. M., Cunha, J. P. S., Navab, N., & Noachtar, S. (2015) · Journal of the Neurological Sciences

EEG and Brain-Computer InterfacesEpilepsy research and treatment

Cited by 8

Learning to Abstain: Reliable Medical Image Segmentation With Rejection Option

Sanisoglu, M. A., Navab, N., & Kim, S. T. (2026) · IEEE Access

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 1