GT-Net: A Deep Learning Network for Gastric Tumor Diagnosis. - Yuexiang Li; Xinpeng Xie; Shaoxiong Liu; Xuechen Li 001; Linlin Shen (ICTAI, 2018)

Deep learning based gastric cancer identification. - Yuexiang Li; Xuechen Li 001; Xinpeng Xie; Linlin Shen (ISBI, 2018)

Optic Disc and Fovea Detection Using Multi-Stage Region-Based Convolutional Neural Network. - Xuechen Li 001; Linlin Shen; Jiang Duan (ISICDM, 2018)

A Solitary Feature-Based Lung Nodule Detection Approach for Chest X-Ray Radiographs. - Xuechen Li 001; Linlin Shen; Suhuai Luo (IEEE J. Biomed. Health Informatics, 2018)

PNet: An Efficient Network for Pneumonia Detection. - Zhongliang Li; Juan Yu; Xuechen Li 001; Yingqi Li; Weicai Dai; Linlin Shen; Lisha Mou; Zuhui Pu (CISP-BMEI, 2019)

Integrating Handcrafted and Deep Features for Optical Coherence Tomography Based Retinal Disease Classification. - Xuechen Li 001; Linlin Shen; Meixiao Shen; Connor S. Qiu (IEEE Access, 2019)

Deep learning based early stage diabetic retinopathy detection using optical coherence tomography. - Xuechen Li 001; Linlin Shen; Meixiao Shen; Fan Tan; Connor S. Qiu (Neurocomputing, 2019)

Automatic Primary Gross Tumor Volume Segmentation for Nasopharyngeal Carcinoma using ResSE-UNet. - Zhihao Jin; Xuechen Li 001; Linlin Shen; Jinyi Lang; Jie Li; Junxiang Wu; Peng Xu; Jiang Duan (CBMS, 2020)

Multi-resolution convolutional networks for chest X-ray radiograph based lung nodule detection. - Xuechen Li 001; Linlin Shen; Xinpeng Xie; Shiyun Huang; Zhien Xie; Xian Hong; Juan Yu (Artif. Intell. Medicine, 2020)

A Contrastive Learning-based PPC-UNet for Colorectal Histopathology Whole Slide Image Segmentation. - Yuxuan Wang; Xuechen Li 001; Jingxin Liu; Linlin Shen; Kunming Sun; Suying Wang (BIBM, 2021)

Classification and Localization Consistency Regularized Student-Teacher Network for Semi-supervised Cervical Cell Detection. - Menglu Zhang; Xuechen Li 001; Linlin Shen (CBMS, 2021)

Relaxed local preserving regression for image feature extraction. - Jiaqi Bao; Zhihui Lai 001; Xuechen Li 001 (Multim. Tools Appl., 2021)

Locality Preserving Robust Regression for Jointly Sparse Subspace Learning. - Ning Liu; Zhihui Lai 001; Xuechen Li 001; Yudong Chen 002; Dongmei Mo; Heng Kong; Linlin Shen (IEEE Trans. Circuits Syst. Video Technol., 2021)

Contrastive learning-based Adenoid Hypertrophy Grading Network Using Nasoendoscopic Image. - Siting Zheng; Xuechen Li 001; Mingmin Bi; Yuxuan Wang; Haiyan Liu; Xiaoshan Feng; Yunping Fan; Linlin Shen (CBMS, 2022)

Sample Hardness Based Gradient Loss for Long-Tailed Cervical Cell Detection. - Minmin Liu; Xuechen Li 001; Xiangbo Gao; Junliang Chen 002; Linlin Shen; Huisi Wu (MICCAI (2), 2022)

ImplantFormer: Vision Transformer based Implant Position Regression Using Dental CBCT Data. - Xinquan Yang; Xuguang Li; Xuechen Li 001; Peixi Wu; Linlin Shen; Xin Li; Yongqiang Deng (CoRR, 2022)

Boundary regression-based reep neural network for thyroid nodule segmentation in ultrasound images. - Zhihao Jin; Xuechen Li 001; Yudi Zhang 005; LinLin Shen; Zhihui Lai 001; Heng Kong (Neural Comput. Appl., 2022)

TCSloT: Text Guided 3D Context and Slope Aware Triple Network for Dental Implant Position Prediction. - Xinquan Yang; Jinheng Xie; Xuechen Li 001; Xuguang Li; Linlin Shen; Yongqiang Deng (BIBM, 2023)

Multi-scale Contrastive Learning for Gastroenteroscopy Classification. - Dan Li; Xuechen Li 001; Zhibin Peng; Wenting Chen; Linlin Shen; Guangyao Wu (CBMS, 2023)

TCEIP: Text Condition Embedded Regression Network for Dental Implant Position Prediction. - Xinquan Yang; Jinheng Xie; Xuguang Li; Xuechen Li 001; Xin Li; Linlin Shen; Yongqiang Deng (MICCAI (6), 2023)

Adversarial Keyword Extraction and Semantic-Spatial Feature Aggregation for Clinical Report Guided Thyroid Nodule Segmentation. - Yudi Zhang 005; Wenting Chen; Xuechen Li 001; Linlin Shen; Zhihui Lai 001; Heng Kong (PRCV (13), 2023)

SCPMan: Shape Context and Prior Constrained Multi-scale Attention Network for Pancreatic Segmentation. - Leilei Zeng; Xuechen Li 001; Xinquan Yang; Linlin Shen; Song Wu (CoRR, 2023)

Tongue size and shape classification fusing segmentation features for traditional Chinese medicine diagnosis. - Yating Huang; Xuechen Li 001; Siting Zheng; Zhongliang Li; Sihan Li; Linlin Shen; Changen Zhou; Zhihui Lai 001 (Neural Comput. Appl., 2023)

Learning from pseudo-lesion: a self-supervised framework for COVID-19 diagnosis. - Zhongliang Li; Xuechen Li 001; Zhihao Jin; Linlin Shen (Neural Comput. Appl., 2023)

SSAD: Self-supervised Auxiliary Detection Framework for Panoramic X-ray based Dental Disease Diagnosis. - Zijian Cai; Xinquan Yang; Xuguang Li; Xiaoling Luo 001; Xuechen Li 001; Linlin Shen; He Meng 008; Yongqiang Deng (CoRR, 2024)

SCPMan: Shape context and prior constrained multi-scale attention network for pancreatic segmentation. - Leilei Zeng; Xuechen Li 001; Xinquan Yang; Wenting Chen; Jingxin Liu; Linlin Shen; Song Wu (Expert Syst. Appl., 2024)

Two-stream regression network for dental implant position prediction. - Xinquan Yang; Xuguang Li; Xuechen Li 001; Wenting Chen; Linlin Shen; Xin Li; Yongqiang Deng (Expert Syst. Appl., 2024)

ImplantFormer: vision transformer-based implant position regression using dental CBCT data. - Xinquan Yang; Xuguang Li; Xuechen Li 001; Peixi Wu; Linlin Shen; Yongqiang Deng (Neural Comput. Appl., 2024)