MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response. - Jiancheng Yang; Jiajun Chen; Kaiming Kuang; Tiancheng Lin 001; Junjun He; Bingbing Ni (MICCAI (2), 2020)

SSLP: Spatial Guided Self-supervised Learning on Pathological Images. - Jiajun Li; Tiancheng Lin 001; Yi Xu 001 (MICCAI (2), 2021)

Boosting Unsupervised Domain Adaptation with Soft Pseudo-label and Curriculum Learning. - Shengjia Zhang; Tiancheng Lin 001; Yi Xu 001 (CoRR, 2021)

Decoupled gradient harmonized detector for partial annotation: Application to signet ring cell detection. - Tiancheng Lin 001; Yuanfan Guo; Canqian Yang; Jiancheng Yang; Yi Xu 001 (Neurocomputing, 2021)

Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction. - Tiancheng Lin 001; Hongteng Xu; Canqian Yang; Yi Xu 001 (AAAI, 2022)

Anatomy-Aware Self-Supervised Learning for Aligned Multi-Modal Medical Data. - Hongyu Hu; Tiancheng Lin 001; Yuanfan Guo; Chunxiao Li; Rong Wu; Yi Xu 001 (BMVC, 2022)

Solving The Long-Tailed Problem Via Intra- And Inter-Category Balance. - Renhui Zhang; Tiancheng Lin 001; Rui Zhang 052; Yi Xu 001 (ICASSP, 2022)

Self Supervised Lesion Recognition for Breast Ultrasound Diagnosis. - Yuanfan Guo; Canqian Yang; Tiancheng Lin 001; Chunxiao Li; Rui Zhang 052; Rong Wu; Yi Xu 001 (ISBI, 2022)

Enhancing Non-Mass Breast Ultrasound Cancer Classification with Knowledge Transfer. - Yangrun Hu; Yuanfan Guo; Fan Zhang; Mingda Wang; Tiancheng Lin 001; Rong Wu; Yi Xu 001 (ISBI, 2022)

Self Supervised Lesion Recognition For Breast Ultrasound Diagnosis. - Yuanfan Guo; Canqian Yang; Tiancheng Lin 001; Chunxiao Li; Rui Zhang 052; Yi Xu 001 (CoRR, 2022)

DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system. - Qian Da; Xiaodi Huang; Zhongyu Li 002; Yanfei Zuo; Chenbin Zhang; Jingxin Liu; Wen Chen 001; Jiahui Li 005; Dou Xu; Zhiqiang Hu; Hongmei Yi; Yan Guo; et al. (Medical Image Anal., 2022)

Interventional Bag Multi-Instance Learning On Whole-Slide Pathological Images. - Tiancheng Lin 001; Zhimiao Yu; Hongyu Hu; Yi Xu 001; Chang Wen Chen (CVPR, 2023)

Background Clustering Pre-Training for Few-Shot Segmentation. - Zhimiao Yu; Tiancheng Lin 001; Yi Xu 001 (ICIP, 2023)

SLPD: Slide-Level Prototypical Distillation for WSIs. - Zhimiao Yu; Tiancheng Lin 001; Yi Xu 001 (MICCAI (1), 2023)

Relational Contrastive Learning for Scene Text Recognition. - Jinglei Zhang; Tiancheng Lin 001; Yi Xu 001; Kai Chen 006; Rui Zhang 052 (ACM Multimedia, 2023)

Context-Aware Prompt Tuning for Vision-Language Model with Dual-Alignment. - Hongyu Hu; Tiancheng Lin 001; Jie Wang; Zhenbang Sun; Yi Xu 001 (CoRR, 2023)

SGCL: Spatial guided contrastive learning on whole-slide pathological images. - Tiancheng Lin 001; Zhimiao Yu; Zengchao Xu; Hongyu Hu; Yi Xu 001; Chang Wen Chen (Medical Image Anal., 2023)

Relational Contrastive Learning and Masked Image Modeling for Scene Text Recognition. - Tiancheng Lin 001; Jinglei Zhang; Yi Xu 001; Kai Chen 006; Rui Zhang 052; Chang-Wen Chen (CoRR, 2024)