Tianyu Song
Orcid: 0000-0002-8428-9651Affiliations:
- TU Munich, Germany
- Johns Hopkins University, Baltimore, MD, USA (former)
According to our database1,
Tianyu Song
authored at least 17 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
STTAR: Surgical Tool Tracking Using Off-the-Shelf Augmented Reality Head-Mounted Displays.
IEEE Trans. Vis. Comput. Graph., July, 2024
Optimizing In-Contact Force Planning in Robotic Ultrasound with Augmented Reality Visualization Techniques.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2024
2023
Augmented reality collaborative medical displays (ARC-MeDs) for multi-user surgical planning and intra-operative communication.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023
Medical Augmented Reality: Definition, Principle Components, Domain Modeling, and Design-Development-Validation Process.
J. Imaging, January, 2023
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2023
Leveraging Motion Tracking for Intuitive Interactions in a Tablet-Based 3D Scene Annotation System.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2023
2022
AR-Loupe: Magnified Augmented Reality by Combining an Optical See-Through Head-Mounted Display and a Loupe.
IEEE Trans. Vis. Comput. Graph., 2022
Proceedings of the 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2022
Proceedings of the 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2022
2021
Development and Pre-Clinical Analysis of Spatiotemporal-Aware Augmented Reality in Orthopedic Interventions.
IEEE Trans. Medical Imaging, 2021
2020
Reflective-AR Display: An Interaction Methodology for Virtual-to-Real Alignment in Medical Robotics.
IEEE Robotics Autom. Lett., 2020
CoRR, 2020
2019
Reflective-AR Display: An Interaction Methodology for Virtual-Real Alignment in Medical Robotics.
CoRR, 2019
Co-localized augmented human and X-ray observers in collaborative surgical ecosystem.
Int. J. Comput. Assist. Radiol. Surg., 2019
Int. J. Comput. Assist. Radiol. Surg., 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019