Yuliang Xiao 肖宇亮

Department of Medical Biophysics, University of Toronto
Physical Science Platform, Sunnybrook Research Institute

yl.xiao mail.utoronto.ca

Biography

I am currently a First Year Ph.D. student (2024.01 - Now), working in Department of Medical Biophysics, University of Toronto, with Prof. Simon Graham and Prof. Mark Chiew. I am also affiliated with Physical Science Platform, Sunnybrook Research Institute. My work is about 3D Selective Excitation of Arbitrary Reduced FOV for High Resolution and Fast Reconstruction in anatomical and functional magnetic resonance imaging.

I got M.S.E. degree in Surgical Robotics at Johns Hopkins University in 2023, working in Laboratory for Computational Sensing and Robotics, advised by Prof. Russell H. Taylor, and got B.Sc. degrees in Computer Science and Mechanical Engineering at University of Pittsburgh and Sichuan University in 2021.

I spent wonderful time at JHU Malone Center for Engineering in Healthcare with Dr. Swaroop S. Vedula, at Chinese University of Hong Kong (CUHK) with Dr. Qi Dou, and at Tianjin University with Dr. Xinan Sun.

News

[2024/08/05] SSCDM gets accepted by IEEE Transactions on Medical Imaging 2024 (Journal).
[2024/06/03] AutoSeg4Sinonasal gets accepted by Otolaryngology - Head and Neck Surgery 2024 (Journal).
[2024/04/10] AutoSeg4ETICA gets accepted by Otolaryngology - Head and Neck Surgery 2024 (Journal).
[2024/01/03] I join Simon Graham's Lab as a PhD student, and relocate to Sunnybrook Research Institute.

[2023/09/01] Start my PhD journey at Medical Biophysics, University of Toronto.
[2023/05/15] Graduate from JHU, thanks Prof. Taylor and Dr. Sahu for their supervision.
[2023/02/12] Get Admission from Medical Biophysics, University of Toronto. See you in Toronto!
[2023/02/12] Start research assistant at CUHK with Dr. Qi Dou.

[2022/09/01] Start research assistant at Malone Health Center with Dr. Swaroop S. Vedula working on Surgical Video Analysis.
[2022/09/01] Start teaching assistant in 601.455/655 Computer Integrated Surgery (CIS I) instructed by Prof. Russell H. Taylor.
[2022/01/01] Start research assistant at LCSR with Prof. Russell H. Taylor working on Image-guided Surgery.

[2021/08/31] Enroll in MSE in Robotics program at JHU.
[2021/08/15] Graduate from University of Pittsburgh with B.Sc. in CS and ME. Congrats to myself!
[2021/03/15] Get admission from Johns Hopkins University. See you in Baltimore!

Publications

Representative works are highlighted (*/† equal contribution, # corresponding author)

	Self-Supervised Cyclic Diffeomorphic Mapping for Soft Tissue Deformation Recovery in Robotic Surgery Scenes Shizhan Gong, Yonghao Long, Kai Chen, Jiaqi Liu, Yuliang Xiao, Alexis Cheng, Zerui Wang, Qi Dou IEEE Transactions on Medical Imaging (TMI), 2024 Intro Home Paper Code Bibtex
	A Label-Efficient Framework for Automated Sinonasal CT Segmentation in Image-Guided Surgery Manish Sahu, Yuliang Xiao, Jose L. Porras, Ameen Amanian, Aseem Jain, Andrew Thamboo, Russell H. Taylor, Francis X. Creighton, Masaru Ishii (* equal contribution) Otolaryngology - Head and Neck Surgery, 2024 Intro Home Paper Code Bibtex
	A Deep Learning Framework for Analysis of the Eustachian Tube and the Internal Carotid Artery Ameen Amanian, Aseem Jain, Yuliang Xiao, Chanha Kim, Andy S. Ding, Manish Sahu, Russell H. Taylor, Mathias Unberath, Bryan K. Ward, Deepa Galaiya, Masaru Ishii, Francis X. Creighton Otolaryngology - Head and Neck Surgery, 2024 Intro Home Paper Code Bibtex
	Statistical Shape Model of the Eustachian Tube for Understanding and Managing Eustachian Tube Dysfunction Ameen Amanian, Yuliang Xiao, Zhiwei Gong, Manish Sahu, Brian Westerberg, Francis X. Creighton (* equal contribution) Combined Otolaryngology Spring Meetings, 2023 (Oral) Intro Paper Bibtex
	Automated Segmentation of the Eustachian Tube for Applications in the Management of Eustachian Tube Dysfunction - A Deep Learning Framework Ameen Amanian, Yuliang Xiao, Zhiwei Gong, Deepa Galaiya, Russell H. Taylor, Mathias Unberath, Manish Sahu, Francis X. Creighton (* equal contribution) Conference on Machine Intelligence in Medical Imaging, 2022 (Oral) Intro Paper Bibtex

Academic Service

Medical Imaging:
- Conference Reviewer: CMIMI (2023), COSM (2024)
- Journal Reviewer: IEEE-TMI

This page is adapted from Yuliang Xiu and last updated on

	Self-Supervised Cyclic Diffeomorphic Mapping for Soft Tissue Deformation Recovery in Robotic Surgery Scenes Shizhan Gong, Yonghao Long, Kai Chen, Jiaqi Liu, Yuliang Xiao, Alexis Cheng, Zerui Wang, Qi Dou IEEE Transactions on Medical Imaging (TMI), 2024 Intro Home Paper Code Bibtex
	A Label-Efficient Framework for Automated Sinonasal CT Segmentation in Image-Guided Surgery Manish Sahu, Yuliang Xiao, Jose L. Porras, Ameen Amanian, Aseem Jain, Andrew Thamboo, Russell H. Taylor, Francis X. Creighton, Masaru Ishii (* equal contribution) Otolaryngology - Head and Neck Surgery, 2024 Intro Home Paper Code Bibtex
	A Deep Learning Framework for Analysis of the Eustachian Tube and the Internal Carotid Artery Ameen Amanian, Aseem Jain, Yuliang Xiao, Chanha Kim, Andy S. Ding, Manish Sahu, Russell H. Taylor, Mathias Unberath, Bryan K. Ward, Deepa Galaiya, Masaru Ishii, Francis X. Creighton Otolaryngology - Head and Neck Surgery, 2024 Intro Home Paper Code Bibtex
	Statistical Shape Model of the Eustachian Tube for Understanding and Managing Eustachian Tube Dysfunction Ameen Amanian, Yuliang Xiao, Zhiwei Gong, Manish Sahu, Brian Westerberg, Francis X. Creighton (* equal contribution) Combined Otolaryngology Spring Meetings, 2023 (Oral) Intro Paper Bibtex
	Automated Segmentation of the Eustachian Tube for Applications in the Management of Eustachian Tube Dysfunction - A Deep Learning Framework Ameen Amanian, Yuliang Xiao, Zhiwei Gong, Deepa Galaiya, Russell H. Taylor, Mathias Unberath, Manish Sahu, Francis X. Creighton (* equal contribution) Conference on Machine Intelligence in Medical Imaging, 2022 (Oral) Intro Paper Bibtex