Deep Learning Framework for Detecting Positive Lymph Nodes of Gastric Cancer on Histopathological Images. - Yuxiu Huang; Yuyang Xue; Junlin Lan; Yanglin Deng; Gang Chen; Hejun Zhang; Mengyuan Dang; Tong Tong 001 (ICBSP, 2021)

Unpaired Stain Style Transfer Using Invertible Neural Networks Based on Channel Attention and Long-Range Residual. - Junlin Lan; Shaojin Cai; Yuyang Xue; Qinquan Gao; Min Du 001; Hejun Zhang; Zhida Wu; Yanglin Deng; Yuxiu Huang; Tong Tong 001; Gang Chen (IEEE Access, 2021)

H-Net: A dual-decoder enhanced FCNN for automated biomedical image diagnosis. - Xiaogen Zhou; Xingqing Nie; Zhiqiang Li; Xingtao Lin; Ensheng Xue; Luoyan Wang; Junlin Lan; Gang Chen; Min Du 001; Tong Tong 001 (Inf. Sci., 2022)

Stereo Cross Global Learnable Attention Module for Stereo Image Super-Resolution. - Yuanbo Zhou; Yuyang Xue; Wei Deng; Ruofeng Nie; Jiajun Zhang; Jiaqi Pu; Qinquan Gao; Junlin Lan; Tong Tong 001 (CVPR Workshops, 2023)

A multi-task deep learning framework for perineural invasion recognition in gastric cancer whole slide images. - Ziwei Hu; Yanglin Deng; Junlin Lan; Tao Wang 085; Zixin Han; Yuxiu Huang; Hejun Zhang; Jianchao Wang; Musheng Cheng; Haiyan Jiang; Ren-Guey Lee; Ming Du; et al. (Biomed. Signal Process. Control., 2023)

PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification. - Tao Wang 085; Xinlin Zhang; Yuanbo Zhou; Junlin Lan; Tao Tan 002; Min Du 001; Qinquan Gao; Tong Tong 001 (CoRR, 2023)

Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image Segmentation. - Tao Wang 085; Yuanbin Chen; Xinlin Zhang; Yuanbo Zhou; Junlin Lan; Bizhe Bai; Tao Tan 002; Min Du 001; Qinquan Gao; Tong Tong 001 (CoRR, 2023)

Toward Real World Stereo Image Super-Resolution via Hybrid Degradation Model and Discriminator for Implied Stereo Image Information. - Yuanbo Zhou; Yuyang Xue; Jiang Bi; Wenlin He; Xinlin Zhang; Jiajun Zhang; Wei Deng; Ruofeng Nie; Junlin Lan; Qinquan Gao; Tong Tong 001 (CoRR, 2023)

CUSS-Net: A Cascaded Unsupervised-Based Strategy and Supervised Network for Biomedical Image Diagnosis and Segmentation. - Xiaogen Zhou; Zhiqiang Li; Yuyang Xue; Shun Chen; Meijuan Zheng; Cong Chen; Yue Yu; Xingqing Nie; Xingtao Lin; Luoyan Wang; Junlin Lan; Gang Chen; et al. (IEEE J. Biomed. Health Informatics, 2023)

Prediction of lymph node metastasis in primary gastric cancer from pathological images and clinical data by multimodal multiscale deep learning. - Zhechen Guo; Junlin Lan; Jianchao Wang; Ziwei Hu; Zhida Wu; Jiawei Quan; Zixin Han; Tao Wang 085; Ming Du; Qinquan Gao; Yuyang Xue; Tong Tong 001; et al. (Biomed. Signal Process. Control., 2023)

A deep learning model fusion algorithm for the diagnosis of gastric Mucosa-associated lymphoid tissue lymphoma. - Jiawei Quan; Jingxuan Ye; Junlin Lan; Jianchao Wang; Ziwei Hu; Zhechen Guo; Tao Wang 085; Zixin Han; Zhida Wu; Tao Tan 002; Min Du 001; Tong Tong 001; et al. (Biomed. Signal Process. Control., 2024)

Towards real world stereo image super-resolution via hybrid degradation model and discriminator for implied stereo image information. - Yuanbo Zhou; Yuyang Xue; Jiang Bi; Wenlin He; Xinlin Zhang; Jiajun Zhang; Wei Deng; Ruofeng Nie; Junlin Lan; Qinquan Gao; Tong Tong 001 (Expert Syst. Appl., 2024)