14 citations · 16 across the 8 of their papers we have counts for
8 papers
SSAD: Self-supervised Auxiliary Detection Framework for Panoramic X-ray based Dental Disease Diagnosis
Zijian Cai, Xinquan Yang, Xuguang Li +5
Panoramic X-ray is a simple and effective tool for diagnosing dental diseases in clinical practice. When deep learning models are developed to assist dentist in interpreting panora…
SCPMan: Shape Context and Prior Constrained Multi-scale Attention Network for Pancreatic Segmentation
Leilei Zeng, Xuechen Li, Xinquan Yang +2
Due to the poor prognosis of Pancreatic cancer, accurate early detection and segmentation are critical for improving treatment outcomes. However, pancreatic segmentation is challen…
TCSloT: Text Guided 3D Context and Slope Aware Triple Network for Dental Implant Position Prediction
Xinquan Yang, Jinheng Xie, Xuechen Li +3
In implant prosthesis treatment, the surgical guide of implant is used to ensure accurate implantation. However, such design heavily relies on the manual location of the implant po…
TCEIP: Text Condition Embedded Regression Network for Dental Implant Position Prediction
Xinquan Yang, Jinheng Xie, Xuguang Li +4
When deep neural network has been proposed to assist the dentist in designing the location of dental implant, most of them are targeting simple cases where only one missing tooth i…
Two-Stream Regression Network for Dental Implant Position Prediction
Xinquan Yang, Xuguang Li, Xuechen Li +4
In implant prosthesis treatment, the design of the surgical guide heavily relies on the manual location of the implant position, which is subjective and prone to doctor's experienc…
ImplantFormer: Vision Transformer based Implant Position Regression Using Dental CBCT Data
Xinquan Yang, Xuguang Li, Xuechen Li +3
Implant prosthesis is the most appropriate treatment for dentition defect or dentition loss, which usually involves a surgical guide design process to decide the implant position.…
Sample hardness based gradient loss for long-tailed cervical cell detection
Minmin Liu, Xuechen Li, Xiangbo Gao +3
Due to the difficulty of cancer samples collection and annotation, cervical cancer datasets usually exhibit a long-tailed data distribution. When training a detector to detect the…
Learning from Pseudo Lesion: A Self-supervised Framework for COVID-19 Diagnosis
Zhongliang Li, Zhihao Jin, Xuechen Li +1
The Coronavirus disease 2019 (COVID-19) has rapidly spread all over the world since its first report in December 2019 and thoracic computed tomography (CT) has become one of the ma…