activity
20212024
most citedVirtual Reality for Synergistic Surgical Training and Data Generation

26 citations · 26 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2024

Beyond the Manual Touch: Situational-aware Force Control for Increased Safety in Robot-assisted Skullbase Surgery

Hisashi Ishida, Deepa Galaiya, Nimesh Nagururu +4

Purpose - Skullbase surgery demands exceptional precision when removing bone in the lateral skull base. Robotic assistance can alleviate the effect of human sensory-motor limitatio…

cs.RO2024

Haptic-Assisted Collaborative Robot Framework for Improved Situational Awareness in Skull Base Surgery

Hisashi Ishida, Manish Sahu, Adnan Munawar +5

Skull base surgery is a demanding field in which surgeons operate in and around the skull while avoiding critical anatomical structures including nerves and vasculature. While imag…

cs.RO2023

Fully Immersive Virtual Reality for Skull-base Surgery: Surgical Training and Beyond

Adnan Munawar, Zhaoshuo Li, Nimesh Nagururu +4

Purpose: A virtual reality (VR) system, where surgeons can practice procedures on virtual anatomies, is a scalable and cost-effective alternative to cadaveric training. The fully d…

cs.HC2022

Twin-S: A Digital Twin for Skull-base Surgery

Hongchao Shu, Ruixing Liang, Zhaoshuo Li +9

Purpose: Digital twins are virtual interactive models of the real world, exhibiting identical behavior and properties. In surgical applications, computational analysis from digital…

cs.RO2021★ 26 cited

Virtual Reality for Synergistic Surgical Training and Data Generation

Adnan Munawar, Zhaoshuo Li, Punit Kunjam +7

Surgical simulators not only allow planning and training of complex procedures, but also offer the ability to generate structured data for algorithm development, which may be appli…