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Your search keyword '"Niu, Chaoshi"' showing total 309 results
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309 results on '"Niu, Chaoshi"'

20. Joint Spinal Centerline Extraction and Curvature Estimation with Row-Wise Classification and Curve Graph Network

Author

Huo, Long, Cai, Bin, Liang, Pengpeng, Sun, Zhiyong, Xiong, Chi, Niu, Chaoshi, Song, Bo, Cheng, Erkang, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, de Bruijne, Marleen, editor, Cattin, Philippe C., editor, Cotin, Stéphane, editor, Padoy, Nicolas, editor, Speidel, Stefanie, editor, Zheng, Yefeng, editor, and Essert, Caroline, editor

Published
2021
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24. Stabilization of Pin1 by USP34 promotes Ubc9 isomerization and protein sumoylation in glioma stem cells

Author

Zhu, Qiuhong, primary, Liang, Panpan, additional, Meng, Hao, additional, Li, Fangzhen, additional, Miao, Wei, additional, Chu, Cuiying, additional, Wang, Wei, additional, Li, Dongxue, additional, Chen, Cong, additional, Shi, Yu, additional, Yu, Xingjiang, additional, Ping, Yifang, additional, Niu, Chaoshi, additional, Wu, Hai-bo, additional, Zhang, Aili, additional, Bian, Xiu-wu, additional, and Zhou, Wenchao, additional

Published
2024
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28. Deep Cascaded Attention Network for Multi-task Brain Tumor Segmentation

Author

Xu, Hai, Xie, Hongtao, Liu, Yizhi, Cheng, Chuandong, Niu, Chaoshi, Zhang, Yongdong, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Shen, Dinggang, editor, Liu, Tianming, editor, Peters, Terry M., editor, Staib, Lawrence H., editor, Essert, Caroline, editor, Zhou, Sean, editor, Yap, Pew-Thian, editor, and Khan, Ali, editor

Published
2019
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41. Stereotactic co-axial projection imaging for augmented reality neuronavigation: a proof-of-concept study

Author

Wu, Bingxuan, Liu, Peng, Xiong, Chi, Li, Chenmeng, Zhang, Fan, Shen, Shuwei, Shao, Pengfei, Yao, Peng, Niu, Chaoshi, and Xu, Ronald

Subjects
Original Article, Radiology, Nuclear Medicine and imaging
Abstract

BACKGROUND: Lack of intuitiveness and poor hand-eye coordination present a major technical challenge in neurosurgical navigation. METHODS: We developed an integrated dexterous stereotactic co-axial projection imaging (sCPI) system featuring orthotopic image projection for augmented reality (AR) neurosurgical navigation. The performance characteristics of the sCPI system, including projection resolution and navigation accuracy, were quantitatively verified. The resolution of the sCPI was tested with a USAF1951 resolution test chart. The stereotactic navigation accuracy of the sCPI was measured using a calibration panel with a 7×7 circle array pattern. In benchtop validation, the navigation accuracy of the sCPI and the BrainLab Kick Navigation Station was compared using a skull phantom with 8 intracranial targets. Finally, we demonstrated the potential clinical application of sCPI through a clinical trial. RESULTS: The resolution test showed that the resolution of the sCPI was 1.3 mm. In a stereotactic navigation accuracy test, the maximum and minimum error of the sCPI was 2.9 and 0.3 mm, and the mean error was 1.5 mm. The stereotactic navigation accuracy test also showed that the navigation error of the sCPI would increase with the pitch and yaw angle, but there was no obvious difference in navigation errors caused by different yaw directions, which meant that the navigation error is unbiased across all directions. The benchtop validation showed that the average navigation errors for the sCPI system and the Kick Navigation Station were 1.4±0.8 and 1.8±0.7 mm, the medians were 1.3 and 1.9 mm, and the average preparation times were 3 min 24 sec and 6 min 8 sec, respectively. The clinical feasibility of sCPI-assisted neurosurgical navigation was demonstrated in a clinical study. In comparison with the BrainLab device, the sCPI system required less time for preoperative preparation and enhanced the clinician experience in intraoperative visualization and navigation. CONCLUSIONS: The sCPI technique can be potentially used in many surgical applications for intuitive visualization of medical information and intraoperative guidance of surgical trajectories.

Published
2022

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