4 citations · 5 across the 9 of their papers we have counts for
5 papers · 1 filter
UNSCT-HRNet: Modeling Anatomical Uncertainty for Landmark Detection in Total Hip Arthroplasty
Jiaxin Wan, Lin Liu, Haoran Wang +9
Total hip arthroplasty (THA) relies on accurate landmark detection from radiographic images, but unstructured data caused by irregular patient postures or occluded anatomical marke…
Coordinate-Aware Thermal Infrared Tracking Via Natural Language Modeling
Miao Yan, Ping Zhang, Haofei Zhang +4
Thermal infrared (TIR) tracking is pivotal in computer vision tasks due to its all-weather imaging capability. Traditional tracking methods predominantly rely on hand-crafted featu…
UADSN: Uncertainty-Aware Dual-Stream Network for Facial Nerve Segmentation
Guanghao Zhu, Lin Liu, Jing Zhang +3
Facial nerve segmentation is crucial for preoperative path planning in cochlear implantation surgery. Recently, researchers have proposed some segmentation methods, such as atlas-b…
AstMatch: Adversarial Self-training Consistency Framework for Semi-Supervised Medical Image Segmentation
Guanghao Zhu, Jing Zhang, Juanxiu Liu +4
Semi-supervised learning (SSL) has shown considerable potential in medical image segmentation, primarily leveraging consistency regularization and pseudo-labeling. However, many SS…
Three-Stream Temporal-Shift Attention Network Based on Self-Knowledge Distillation for Micro-Expression Recognition
Guanghao Zhu, Lin Liu, Yuhao Hu +7
Micro-expressions are subtle facial movements that occur spontaneously when people try to conceal real emotions. Micro-expression recognition is crucial in many fields, including c…