Zhaoshuo Li

Oct 18, 2024 | digitalcommons.library.tmc.edu | Andy S. Ding |Alexander Lu |Zhaoshuo Li |Manish Sahu

OBJECTIVE: Preoperative planning for otologic or neurotologic procedures often requires manual segmentation of relevant structures, which can be tedious and time-consuming. Automated methods for segmenting multiple geometrically complex structures can not only streamline preoperative planning but also augment minimally invasive and/or robot-assisted procedures in this space. This study evaluates a state-of-the-art deep learning pipeline for semantic segmentation of temporal bone anatomy.

Oct 18, 2024 | digitalcommons.library.tmc.edu | Andy S. Ding |Alexander Lu |Zhaoshuo Li |Deepa Galaiya

OBJECTIVE: Proposed methods of minimally invasive and robot-assisted procedures within the temporal bone require measurements of surgically relevant distances and angles, which often require time-consuming manual segmentation of preoperative imaging. This study aims to describe an automatic segmentation and measurement extraction pipeline of temporal bone cone-beam computed tomography (CT) scans. STUDY DESIGN: Descriptive study of temporal bone measurements. SETTING: Academic institution.

May 31, 2023 | arxiv.org | Zhaoshuo Li |Nimesh Nagururu |Danielle Trakimas |Peter Kazanzides

arXiv:2302.13878 (cs) [Submitted on 27 Feb 2023 (v1), last revised 31 May 2023 (this version, v2)] Download a PDF of the paper titled Fully Immersive Virtual Reality for Skull-base Surgery: Surgical Training and Beyond, by Adnan Munawar and 6 other authors Download PDF Submission history From: Zhaoshuo Li [ view email] [v1] Mon, 27 Feb 2023 15:26:40 UTC (3,574 KB) [v2] Wed, 31 May 2023 19:39:59 UTC (5,488 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Litmaps...