60 citations · 83 across the 9 of their papers we have counts for
9 papers
ViT3Flow: A Test-Time Training Transformer MeanFlow for Postoperative Radiograph Synthesis in Scoliosis
Rui Tang, Sicheng Yang, Moxin Zhao +6
Predicting postoperative spinal morphology from preoperative radiographs could provide valuable support for scoliosis surgical planning, but remains challenging because surgical co…
Adapting and Evaluating Multimodal Large Language Models for Adolescent Idiopathic Scoliosis Self-Management: A Divide and Conquer Framework
Zhaolong Wu, Pu Luo, Nan Meng +2
This study presents the first comprehensive evaluation of Multimodal Large Language Models (MLLMs) for Adolescent Idiopathic Scoliosis (AIS) self-management. We constructed a datab…
Accurate Cobb Angle Estimation via SVD-Based Curve Detection and Vertebral Wedging Quantification
Chang Shi, Nan Meng, Yipeng Zhuang +12
Adolescent idiopathic scoliosis (AIS) is a common spinal deformity affecting approximately 2.2% of boys and 4.8% of girls worldwide. The Cobb angle serves as the gold standard for…
LatXGen: Towards Radiation-Free and Accurate Quantitative Analysis of Sagittal Spinal Alignment Via Cross-Modal Radiographic View Synthesis
Moxin Zhao, Nan Meng, Jason Pui Yin Cheung +7
Adolescent Idiopathic Scoliosis (AIS) is a complex three-dimensional spinal deformity, and accurate morphological assessment requires evaluating both coronal and sagittal alignment…
A Dual-Feature Extractor Framework for Accurate Back Depth and Spine Morphology Estimation from Monocular RGB Images
Yuxin Wei, Yue Zhang, Moxin Zhao +4
Scoliosis is a prevalent condition that impacts both physical health and appearance, with adolescent idiopathic scoliosis (AIS) being the most common form. Currently, the main AIS…
EUFormer: Learning Driven 3D Spine Deformity Assessment with Orthogonal Optical Images
Nan Meng, Jason P. Y. Cheung, Tao Huang +5
In clinical settings, the screening, diagnosis, and monitoring of adolescent idiopathic scoliosis (AIS) typically involve physical or radiographic examinations. However, physical e…
Unsupervised Light Field Depth Estimation via Multi-view Feature Matching with Occlusion Prediction
Shansi Zhang, Nan Meng, Edmund Y. Lam
Depth estimation from light field (LF) images is a fundamental step for numerous applications. Recently, learning-based methods have achieved higher accuracy and efficiency than th…
LRT: An Efficient Low-Light Restoration Transformer for Dark Light Field Images
Shansi Zhang, Nan Meng, Edmund Y. Lam
Light field (LF) images containing information for multiple views have numerous applications, which can be severely affected by low-light imaging. Recent learning-based methods for…
High-Order Residual Network for Light Field Super-Resolution
Nan Meng, Xiaofei Wu, Jianzhuang Liu +1
Plenoptic cameras usually sacrifice the spatial resolution of their SAIs to acquire geometry information from different viewpoints. Several methods have been proposed to mitigate s…