Jiatai Lin

According to our database, Jiatai Lin authored at least 28 papers between 2018 and 2025.

Collaborative distances:

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

2025

FedBCD: Federated Ultrasound Video and Image Joint Learning for Breast Cancer Diagnosis.

Tianpeng Deng, Chunwang Huang, Ming Cai, Yu Liu, Min Liu, Jiatai Lin, Zhenwei Shi, Bingchao Zhao, Jingqi Huang, Changhong Liang, Guoqiang Han, Zaiyi Liu, Ying Wang, Chu Han

IEEE Trans. Medical Imaging, June, 2025

A Colorectal Coordinate-Driven Method for Colorectum and Colorectal Cancer Segmentation in Conventional CT Scans.

Lisha Yao, Yingda Xia, Zhihong Chen, Suyun Li, Jiawen Yao, Dakai Jin, Yanting Liang, Jiatai Lin, Bingchao Zhao, Chu Han, Le Lu, Ling Zhang, Zaiyi Liu, Xin Chen

IEEE Trans. Neural Networks Learn. Syst., April, 2025

Towards Computation- and Communication-efficient Computational Pathology.

Chu Han, Bingchao Zhao, Jiatai Lin, Shanshan Lyu, Longfei Wang, Tianpeng Deng, Cheng Lu, Changhong Liang, Hannah Y. Wen, Xiaojing Guo, Zhenwei Shi, Zaiyi Liu

CoRR, April, 2025

Rethinking mitosis detection: Towards diverse data and feature representation for better domain generalization.

Jiatai Lin, Hao Wang, Danyi Li, Jing Wang, Bingchao Zhao, Zhenwei Shi, Changhong Liang, Guoqiang Han, Li Liang, Zaiyi Liu, Chu Han

Artif. Intell. Medicine, 2025

2024

CroMAM: A Cross-Magnification Attention Feature Fusion Model for Predicting Genetic Status and Survival of Gliomas Using Histological Images.

Jisen Guo, Peng Xu, Yuankui Wu, Yunyun Tao, Chu Han, Jiatai Lin, Ke Zhao, Zaiyi Liu, Wenbin Liu, Cheng Lu

IEEE J. Biomed. Health Informatics, December, 2024

FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification.

Tianpeng Deng, Yanqi Huang, Guoqiang Han, Zhenwei Shi, Jiatai Lin, Qi Dou, Zaiyi Liu, Xiao-jing Guo, C. L. Philip Chen, Chu Han

IEEE Trans. Cybern., December, 2024

Active Learning by Feature Perturbation for Medical Image Classification.

Yuping Zhong, Guoqiang Han, Zhenwei Shi, Zaiyi Liu, Chu Han, Jiatai Lin

Proceedings of the Neural Information Processing - 31st International Conference, 2024

DBrAL: A Novel Uncertainty-Based Active Learning Based on Deep-Broad Learning for Medical Image Classification.

Hongjiang Wu, Yuping Zhong, Guoqiang Han, Jiatai Lin, Zaiyi Liu, Chu Han

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

SS-WSSS: Small-Scale Weakly Supervised Semantic Segmentation for Histopathology Image.

Jiatai Lin, Guoqiang Han, Jingxuan Zhou, Zhenwei Shi, Zaiyi Liu, Chu Han

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

HoVer-Trans: Anatomy-Aware HoVer-Transformer for ROI-Free Breast Cancer Diagnosis in Ultrasound Images.

Yuhao Mo, Chu Han, Yu Liu, Min Liu, Zhenwei Shi, Jiatai Lin, Bingchao Zhao, Chunwang Huang, Bingjiang Qiu, Yanfen Cui, Lei Wu, Xipeng Pan, Zeyan Xu, Xiaomei Huang, Zhenhui Li, Zaiyi Liu, Ying Wang, Changhong Liang

IEEE Trans. Medical Imaging, June, 2023

CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer With Modality-Correlated Cross-Attention for Brain Tumor Segmentation.

Jianwei Lin, Jiatai Lin, Cheng Lu, Hao Chen, Huan Lin, Bingchao Zhao, Zhenwei Shi, Bingjiang Qiu, Xipeng Pan, Zeyan Xu, Biao Huang, Changhong Liang, Guoqiang Han, Zaiyi Liu, Chu Han

IEEE Trans. Medical Imaging, 2023

BroadCAM: Outcome-agnostic Class Activation Mapping for Small-scale Weakly Supervised Applications.

Jiatai Lin, Guoqiang Han, Xuemiao Xu, Changhong Liang, Tien-Tsin Wong, C. L. Philip Chen, Zaiyi Liu, Chu Han

CoRR, 2023

Rethinking Mitosis Detection: Towards Diverse Data and Feature Representation.

Hao Wang, Jiatai Lin, Danyi Li, Jing Wang, Bingchao Zhao, Zhenwei Shi, Xipeng Pan, Huadeng Wang, Bingbing Li, Changhong Liang, Guoqiang Han, Li Liang, Chu Han, Zaiyi Liu

CoRR, 2023

FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification.

Tianpeng Deng, Yanqi Huang, Zhenwei Shi, Jiatai Lin, Qi Dou, Ke Zhao, Fang-Fang Liu, Yu-Mian Jia, Jin Wang, Bingchao Zhao, Changhong Liang, Zaiyi Liu, Xiao-jing Guo, Guoqiang Han, Xin Chen, Chu Han

CoRR, 2023

2022

PDBL: Improving Histopathological Tissue Classification With Plug-and-Play Pyramidal Deep-Broad Learning.

Jiatai Lin, Guoqiang Han, Xipeng Pan, Zaiyi Liu, Hao Chen, Danyi Li, Xiping Jia, Zhenwei Shi, Zhizhen Wang, Yanfen Cui, Haiming Li, Changhong Liang, Li Liang, Ying Wang, Chu Han

IEEE Trans. Medical Imaging, 2022

Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels.

Chu Han, Jiatai Lin, Jinhai Mai, Yi Wang, Qingling Zhang, Bingchao Zhao, Xin Chen, Xipeng Pan, Zhenwei Shi, Zeyan Xu, Su Yao, Lixu Yan, Huan Lin, Xiaomei Huang, Changhong Liang, Guoqiang Han, Zaiyi Liu

Medical Image Anal., 2022

HoVer-Trans: Anatomy-aware HoVer-Transformer for ROI-free Breast Cancer Diagnosis in Ultrasound Images.

Yuhao Mo, Chu Han, Yu Liu, Min Liu, Zhenwei Shi, Jiatai Lin, Bingchao Zhao, Chunwang Huang, Bingjiang Qiu, Yanfen Cui, Lei Wu, Xipeng Pan, Zeyan Xu, Xiaomei Huang, Zaiyi Liu, Ying Wang, Changhong Liang

CoRR, 2022

WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma.

Chu Han, Xipeng Pan, Lixu Yan, Huan Lin, Bingbing Li, Su Yao, Shanshan Lv, Zhenwei Shi, Jinhai Mai, Jiatai Lin, Bingchao Zhao, Zeyan Xu, Zhizhen Wang, Yumeng Wang, Yuan Zhang, Huihui Wang, Chao Zhu, Chunhui Lin, Lijian Mao, Min Wu, Luwen Duan, Jingsong Zhu, Dong Hu, Zijie Fang, Yang Chen, Yongbing Zhang, Yi Li, Yiwen Zou, Yiduo Yu, Xiaomeng Li, Haiming Li, Yanfen Cui, Guoqiang Han, Yan Xu, Jun Xu, Huihua Yang, Chunming Li, Zhenbing Liu, Cheng Lu, Xin Chen, Changhong Liang, Qingling Zhang, Zaiyi Liu

CoRR, 2022

A Standardized Pipeline for Colon Nuclei Identification and Counting Challenge.

Jijun Cheng, Xipeng Pan, Feihu Hou, Bingchao Zhao, Jiatai Lin, Zhenbing Liu, Zaiyi Liu, Chu Han

CoRR, 2022

RestainNet: a self-supervised digital re-stainer for stain normalization.

Bingchao Zhao, Jiatai Lin, Changhong Liang, Zongjian Yi, Xin Chen, Bingbing Li, Weihao Qiu, Danyi Li, Li Liang, Chu Han, Zaiyi Liu

CoRR, 2022

RestainNet: A self-supervised digital re-stainer for stain normalization.

Bingchao Zhao, Chu Han, Xipeng Pan, Jiatai Lin, Zongjian Yi, Changhong Liang, Xin Chen, Bingbing Li, Weihao Qiu, Danyi Li, Li Liang, Ying Wang, Zaiyi Liu

Comput. Electr. Eng., 2022

2021

PDBL: Improving Histopathological Tissue Classification with Plug-and-Play Pyramidal Deep-Broad Learning.

Jiatai Lin, Guoqiang Han, Xipeng Pan, Hao Chen, Danyi Li, Xiping Jia, Zhenwei Shi, Zhizhen Wang, Yanfen Cui, Haiming Li, Changhong Liang, Li Liang, Zaiyi Liu, Chu Han

CoRR, 2021

Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels.

Chu Han, Jiatai Lin, Jinhai Mai, Yi Wang, Qingling Zhang, Bingchao Zhao, Xin Chen, Xipeng Pan, Zhenwei Shi, Xiaowei Xu, Su Yao, Lixu Yan, Huan Lin, Zeyan Xu, Xiaomei Huang, Guoqiang Han, Changhong Liang, Zaiyi Liu

CoRR, 2021

2020

Three-domain fuzzy wavelet broad learning system for tremor estimation.

Jiatai Lin, Zhi Liu, C. L. Philip Chen, Yun Zhang

Knowl. Based Syst., 2020

Quaternion broad learning system: A novel multi-dimensional filter for estimation and elimination tremor in teleoperation.

Jiatai Lin, Zhi Liu, C. L. Philip Chen, Yun Zhang

Neurocomputing, 2020

Towards Accurate Pulmonary Nodule Detection by Representing Nodules as Points With High-Resolution Network.

Zehui Gong, Dong Li, Jiatai Lin, Yun Zhang, Kin-Man Lam

IEEE Access, 2020

2019

A wavelet broad learning adaptive filter for forecasting and cancelling the physiological tremor in teleoperation.

Jiatai Lin, Zhi Liu, C. L. Philip Chen, Yun Zhang

Neurocomputing, 2019

2018

Wavelet Broad Learning Filter: A Novel Adaptive Filter for estimating the Physiological Tremor in Teleoperation.

Jiatai Lin, Zhi Liu, Jin Lai

Proceedings of the 2018 International Conference on Security, 2018