activity
20222024
most citedComputer Vision for Increased Operative Efficiency via Identification of Instruments in the Neurosurgical Operating Room: A Proof-of-Concept Study

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

collaborators

5 papers

eess.IV2024

Surface-Enhanced Raman Spectroscopy and Transfer Learning Toward Accurate Reconstruction of the Surgical Zone

Ashutosh Raman, Ren A. Odion, Kent K. Yamamoto +3

Raman spectroscopy, a photonic modality based on the inelastic backscattering of coherent light, is a valuable asset to the intraoperative sensing space, offering non-ionizing pote…

eess.IV2023★ 3 cited

Computer Vision for Increased Operative Efficiency via Identification of Instruments in the Neurosurgical Operating Room: A Proof-of-Concept Study

Tanner J. Zachem, Sully F. Chen, Vishal Venkatraman +8

Objectives Computer vision (CV) is a field of artificial intelligence that enables machines to interpret and understand images and videos. CV has the potential to be of assistance…

cs.RO2023

Incident Angle Study for Designing an Endoscopic Tool for Intraoperative Brain Tumor Detection

Kent Y. Yamamoto, Tanner J. Zachem, Weston A. Ross +1

In neurosurgical procedures maximizing the resection of tumor tissue while avoiding healthy tissue is of paramount importance and a difficult task due to many factors, such as surr…

cs.RO2023

3D Laser-and-tissue Agnostic Data-driven Method for Robotic Laser Surgical Planning

Guangshen Ma, Ravi Prakash, Brian Mann +2

In robotic laser surgery, shape prediction of an one-shot ablation cavity is an important problem for minimizing errant overcutting of healthy tissue during the course of pathologi…

cs.RO2022★ 2 cited

Robotic Laser Orientation Planning with a 3D Data-driven Method

Guangshen Ma, Weston Ross, Patrick J. Codd

This paper focuses on a research problem of robotic controlled laser orientation to minimize errant overcutting of healthy tissue during the course of pathological tissue resection…