Image and Video Processing · Electrical Eng. & Systems
Analysis of Scoliosis From Spinal X-Ray Images
Abdullah-Al-Zubaer Imran, Chao Huang, Hui Tang, Wei Fan +4
2020-04-16
Computer Vision and Pattern Recognition · Computer Science
Leveraging Gait Patterns as Biomarkers: An attention-guided Deep Multiple Instance Learning Network for Scoliosis Classification
Haiqing Li, Yuzhi Guo, Feng Jiang, Qifeng Zhou +2
2025-04-08
Computer Vision and Pattern Recognition · Computer Science
Symmetric Perception and Ordinal Regression for Detecting Scoliosis Natural Image
Xiaojia Zhu, Rui Chen, Xiaoqi Guo, Zhiwen Shao +3
2024-11-26
Image and Video Processing · Electrical Eng. & Systems
The establishment of static digital humans and the integration with spinal models
Fujiao Ju, Yuxuan Wang, Shuo Wang, Chengyin Wang +5
2025-02-13
Image and Video Processing · Electrical Eng. & Systems
Deep learning automates Cobb angle measurement compared with multi-expert observers
Keyu Li, Hanxue Gu, Roy Colglazier, Robert Lark +10
2024-03-20
Robotics · Computer Science
Reliability of Robotic Ultrasound Scanning for Scoliosis Assessment in Comparison with Manual Scanning
Maria Victorova, Heidi Hin Ting Lau, Timothy Tin-Yan Lee, David Navarro-Alarcon +1
2022-05-10
Image and Video Processing · Electrical Eng. & Systems
Bipartite Distance for Shape-Aware Landmark Detection in Spinal X-Ray Images
Abdullah-Al-Zubaer Imran, Chao Huang, Hui Tang, Wei Fan +4
2020-06-01
Machine Learning · Statistics
A temporal model for multiple sclerosis course evolution
Samuele Fiorini, Andrea Tacchino, Giampaolo Brichetto, Alessandro Verri +1
2016-12-05
Robotics · Computer Science
Ultrasound-Guided Assistive Robots for Scoliosis Assessment with Optimization-based Control and Variable Impedance
Anqing Duan, Maria Victorova, Jingyuan Zhao, Yongping Zheng +1
2022-03-07
Image and Video Processing · Electrical Eng. & Systems
Follow the Curve: Robotic-Ultrasound Navigation with Learning Based Localization of Spinous Processes for Scoliosis Assessment
Maria Victorova, Michael Ka-Shing Lee, David Navarro-Alarcon, Yongping Zheng
2021-09-14
Computer Vision and Pattern Recognition · Computer Science
Predicting Spine Geometry and Scoliosis from DXA Scans
Amir Jamaludin, Timor Kadir, Emma Clark, Andrew Zisserman
2023-11-17
Image and Video Processing · Electrical Eng. & Systems
Automating Cobb Angle Measurement for Adolescent Idiopathic Scoliosis using Instance Segmentation
Chaojun Chen, Khashayar Namdar, Yujie Wu, Shahob Hosseinpour +3
2022-11-28
Computer Vision and Pattern Recognition · Computer Science
Clinical-Prior Guided Multi-Modal Learning with Latent Attention Pooling for Gait-Based Scoliosis Screening
Dong Chen, Zizhuang Wei, Jialei Xu, Xinyang Sun +5
2026-02-09
Graphics · Computer Science
EUFormer: Learning Driven 3D Spine Deformity Assessment with Orthogonal Optical Images
Nan Meng, Jason P. Y. Cheung, Tao Huang, Moxin Zhao +4
2024-07-25
Machine Learning · Computer Science
3D Morphology Prediction of Progressive Spinal Deformities from Probabilistic Modeling of Discriminant Manifolds
Samuel Kadoury, William Mandel, Marjolaine Roy-Beaudry, Marie-Lyne Nault +1
2017-01-25
Computer Vision and Pattern Recognition · Computer Science
Gait Patterns as Biomarkers: A Video-Based Approach for Classifying Scoliosis
Zirui Zhou, Junhao Liang, Zizhao Peng, Chao Fan +2
2024-08-27
Quantitative Methods · Quantitative Biology
Multiple Sclerosis disease: a computational approach for investigating its drug interactions
Simone Pernice, Marco Beccuti, Greta Romano, Marzio Pennisi +9
2020-06-02
Image and Video Processing · Electrical Eng. & Systems
Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks
Florian Dubost, Benjamin Collery, Antonin Renaudier, Axel Roc +4
2019-12-12
Computer Vision and Pattern Recognition · Computer Science
Multi-Centre Validation of a Deep Learning Model for Scoliosis Assessment
Šimon Kubov, Simon Klíčník, Jakub Dandár, Zdeněk Straka +2
2025-07-21
Computer Vision and Pattern Recognition · Computer Science
Rethinking Evaluation of Multiple Sclerosis (MS) Lesion Segmentation Models
Abdul Basit, Ashir Rashid, Muhammad Abdullah Hanif, Muhammad Shafique
2026-05-12
Image and Video Processing · Electrical Eng. & Systems
Pathology-Guided AI System for Accurate Segmentation and Diagnosis of Cervical Spondylosis
Qi Zhang, Xiuyuan Chen, Ziyi He, Lianming Wu +3
2025-08-18
Tissues and Organs · Quantitative Biology
Computational Modelling of Atherosclerosis
Andrew Parton, Victoria McGilligan, Maurice OKane, Francina R Baldrick +1
2015-10-08
Machine Learning · Computer Science
EasiCSDeep: A deep learning model for Cervical Spondylosis Identification using surface electromyography signal
Nana Wang, Li Cui, Xi Huang, Yingcong Xiang +1
2018-12-13