Predicting the anterior slippage of vertebral lumbar spine using Densenet-201

ISSLS PRIZE IN BIOENGINEERING SCIENCE 2017: Automation of reading of radiological features from magnetic resonance images (MRIs) of the lumbar spine without human intervention is comparable with an expert radiologist

Amir Jamaludin, Meelis Lootus, Timor Kadir et al. · European Spine Journal · 2017 · 210 citations · Full text

Medicine, Bioengineering, Radiology +17

RTFN: A robust temporal feature network for time series classification

Zhiwen Xiao, Xin Xu, Huanlai Xing et al. · Information Sciences · 2021 · 182 citations

Computing, Computer Science, Feature Engineering +13

Deep learning approach for automatic landmark detection and alignment analysis in whole-spine lateral radiographs

Yu‐Cheng Yeh, Chi-Hung Weng, Yu-Jui Huang et al. · Scientific Reports · 2021 · 105 citations · Full text

Medicine, Orthopedic Surgery, Radiology +17

PSTCNN: Explainable COVID-19 diagnosis using PSO-guided self-tuning CNN

Wei Wang, Yanrong Pei, SHUI-HUA WANG et al. · Biocell · 2022 · 98 citations · Full text

Computing, Computer Science, Infectious Diseases +15

Can a Deep-learning Model for the Automated Detection of Vertebral Fractures Approach the Performance Level of Human Subspecialists?

Yi-Chu Li, Hung‐Hsun Chen, Henry Horng‐Shing Lu et al. · Clinical Orthopaedics and Related Research · 2021 · 94 citations · Full text

Medicine, Orthopedic Surgery, Radiology +17