Junlin Lan

According to our database, Junlin Lan authored at least 12 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

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

Expert Syst. Appl., 2024

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, Zixin Han, Zhida Wu, Tao Tan, Min Du, Tong Tong, Gang Chen

Biomed. Signal Process. Control., 2024

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, Ming Du, Qinquan Gao, Yuyang Xue, Tong Tong, Gang Chen

Biomed. Signal Process. Control., September, 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, Min Du, Ensheng Xue, Tong Tong

IEEE J. Biomed. Health Informatics, May, 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

CoRR, 2023

Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image Segmentation.

Tao Wang, Yuanbin Chen, Xinlin Zhang, Yuanbo Zhou, Junlin Lan, Bizhe Bai, Tao Tan, Min Du, Qinquan Gao, Tong Tong

CoRR, 2023

PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification.

Tao Wang, Xinlin Zhang, Yuanbo Zhou, Junlin Lan, Tao Tan, Min Du, Qinquan Gao, Tong Tong

CoRR, 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, Zixin Han, Yuxiu Huang, Hejun Zhang, Jianchao Wang, Musheng Cheng, Haiyan Jiang, Ren-Guey Lee, Ming Du, Tong Tong, Qinquan Gao, Gang Chen

Biomed. Signal Process. Control., 2023

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

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, Tong Tong

Inf. Sci., 2022

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, Hejun Zhang, Zhida Wu, Yanglin Deng, Yuxiu Huang, Tong Tong, Gang Chen

IEEE Access, 2021

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

Proceedings of the ICBSP 2021: 6th International Conference on Biomedical Imaging, Signal Processing, Xiamen, China, October 29, 2021