Tiancheng Lin

According to our database, Tiancheng Lin authored at least 19 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

SGCL: Spatial guided contrastive learning on whole-slide pathological images.

Tiancheng Lin, Zhimiao Yu, Zengchao Xu, Hongyu Hu, Yi Xu, Chang Wen Chen

Medical Image Anal., October, 2023

Background Clustering Pre-training for Few-shot Segmentation.

Zhimiao Yu, Tiancheng Lin, Yi Xu

CoRR, 2023

Context-Aware Prompt Tuning for Vision-Language Model with Dual-Alignment.

Hongyu Hu, Tiancheng Lin, Jie Wang, Zhenbang Sun, Yi Xu

CoRR, 2023

SLPD: Slide-level Prototypical Distillation for WSIs.

Zhimiao Yu, Tiancheng Lin, Yi Xu

CoRR, 2023

Relational Contrastive Learning for Scene Text Recognition.

Jinglei Zhang, Tiancheng Lin, Yi Xu, Kai Chen, Rui Zhang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

SLPD: Slide-Level Prototypical Distillation for WSIs.

Zhimiao Yu, Tiancheng Lin, Yi Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Background Clustering Pre-Training for Few-Shot Segmentation.

Zhimiao Yu, Tiancheng Lin, Yi Xu

Proceedings of the IEEE International Conference on Image Processing, 2023

Interventional Bag Multi-Instance Learning On Whole-Slide Pathological Images.

Tiancheng Lin, Zhimiao Yu, Hongyu Hu, Yi Xu, Chang Wen Chen

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

2022

DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system.

Qian Da, Xiaodi Huang, Zhongyu Li, Yanfei Zuo, Chenbin Zhang, Jingxin Liu, Wen Chen, Jiahui Li, Dou Xu, Zhiqiang Hu, Hongmei Yi, Yan Guo, Zhe Wang, Ling Chen, Li Zhang, Xianying He, Xiaofan Zhang, Ke Mei, Chuang Zhu, Weizeng Lu, Linlin Shen, Jun Shi, Jun Li, Sreehari S, Ganapathy Krishnamurthi, Jiangcheng Yang, Tiancheng Lin, Qingyu Song, Xuechen Liu, Simon Graham, Raja Muhammad Saad Bashir, Canqian Yang, Shaofei Qin, Xinmei Tian, Baocai Yin, Jie Zhao, Dimitris N. Metaxas, Hongsheng Li, Chaofu Wang, Shaoting Zhang

Medical Image Anal., 2022

Self Supervised Lesion Recognition For Breast Ultrasound Diagnosis.

Yuanfan Guo, Canqian Yang, Tiancheng Lin, Chunxiao Li, Rui Zhang, Yi Xu

CoRR, 2022

Enhancing Non-Mass Breast Ultrasound Cancer Classification with Knowledge Transfer.

Yangrun Hu, Yuanfan Guo, Fan Zhang, Mingda Wang, Tiancheng Lin, Rong Wu, Yi Xu

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Self Supervised Lesion Recognition for Breast Ultrasound Diagnosis.

Yuanfan Guo, Canqian Yang, Tiancheng Lin, Chunxiao Li, Rui Zhang, Rong Wu, Yi Xu

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Solving The Long-Tailed Problem Via Intra- And Inter-Category Balance.

Renhui Zhang, Tiancheng Lin, Rui Zhang, Yi Xu

Proceedings of the IEEE International Conference on Acoustics, 2022

Anatomy-Aware Self-Supervised Learning for Aligned Multi-Modal Medical Data.

Hongyu Hu, Tiancheng Lin, Yuanfan Guo, Chunxiao Li, Rong Wu, Yi Xu

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction.

Tiancheng Lin, Hongteng Xu, Canqian Yang, Yi Xu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Decoupled gradient harmonized detector for partial annotation: Application to signet ring cell detection.

Tiancheng Lin, Yuanfan Guo, Canqian Yang, Jiancheng Yang, Yi Xu

Neurocomputing, 2021

Boosting Unsupervised Domain Adaptation with Soft Pseudo-label and Curriculum Learning.

Shengjia Zhang, Tiancheng Lin, Yi Xu

CoRR, 2021

SSLP: Spatial Guided Self-supervised Learning on Pathological Images.

Jiajun Li, Tiancheng Lin, Yi Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response.

Jiancheng Yang, Jiajun Chen, Kaiming Kuang, Tiancheng Lin, Junjun He, Bingbing Ni

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020