Rui Guo
2024-Present
CV in PD
Fine-grained Classification
School of Biomedical Engineering
Shanghai Jiao Tong University
Room 419, Med-X Research Institute
1954 Hua Shan Road, Shanghai, China
Research Interests
My primary focus is to develop generally capable intelligent assessment models of motor function for neurodegenerative diseases (such as Parkinson’s disease), where the key challenge is the spatial-temporal fine-grained analysis of human actions in medical videos. To tackle this grand challenge, my research efforts span graph neural networks, fine-grained classification and stable learning.
Brief Biography
PostDoc, 2024-Present, School of Biomedical Engineering, Shanghai Jiao Tong University, China.
Ph.D. student, 2019-2024, School of Biomedical Engineering, Shanghai Jiao Tong University, China.
B.S., 2015-2019, School of Information Science & Engineering, Lanzhou University, China.
Current Research Topics
1) Video-based intelligent
assessment of Parkinson’s disease
The MDS-UPDRS is the gold standard for clinical diagnosis and evaluation of Parkinson's disease, and
hence intelligent assessment based on this scale is very crucial. We expect to develop an
MDS-UPDRS-based intelligent assessment system for Parkinson's disease videos, which can perform
automated and objective five-point scoring for motion tasks in videos through spatial-temporal
fine-grained feature mining technologies. Currently, I have realized the automated scoring of several
motion tasks, including pronation-supination movements of hands (TCSVT 2023), hand movements (MedIA 2022), gait (TMM 2022), toe tapping (TCSVT 2022),
arising
from chair (TCSVT 2022), leg agility (TNSRE 2020), and so on.
2) Video-based intelligent
assessment of cervical dystonia
The TWSTRS is most frequently used to assess cervical dystonia in clinical practice. Due to the lack
of
experienced doctors and the subjectivity of visual observation assessment scheme, we expect to
develop a
TWSTRS-based intelligent assessment system for cervical dystonia videos, which can automatically
track
the patient’s face and body in videos, calculate and analyze the relevant angle parameters, and
obtain
the torticollis severity scores in the TWSTRS.
Service
2022-2023 · Teaching Assistant for Data Mining in Biomedical Engineering
course
Awards
2024-03 · Innovation Star for postgraduates of Shanghai Jiao Tong University
2023-09 · First prize of the 5th China Graduate AI Innovation Competition
2021-2022 · China National Scholarship for Ph.D.
Students
2020-2021 · China National Scholarship for Ph.D.
Students
2017-2018 · China National Scholarship for B.S.
Students
Publications
Patents
Assessment method, system, storage medium and terminal of leg-agility task in Parkinson’s disease
Xiaohua Qian, Rui Guo
Assessment method, system and equipment for the severity of gait motor disorder in Parkinson’s disease
Xiaohua Qian, Rui Guo
Diagnostic method, system, media and electronic equipment of pancreatic cancer
Xiaohua Qian, Xinyue Li, Rui Guo
Assessment method, system, storage medium and terminal of toe-tapping task in Parkinson's disease
Xiaohua Qian, Rui Guo
Assessment method, system, storage medium and terminal of hand-movement task in Parkinson's disease
Xiaohua Qian, Rui Guo