Linghan Cai

According to our database, Linghan Cai authored at least 17 papers between 2012 and 2025.

Collaborative distances:

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

2025

SEINE: Structure Encoding and Interaction Network for Nuclei Instance Segmentation.

Ye Zhang, Linghan Cai, Ziyue Wang, Yongbing Zhang

IEEE J. Biomed. Health Informatics, August, 2025

IPGPhormer: Interpretable Pathology Graph-Transformer for Survival Analysis.

Guo Tang, Songhan Jiang, Jinpeng Lu, Linghan Cai, Yongbing Zhang

CoRR, August, 2025

Focus Your Attention: Multiple Instance Learning With Attention Modification for Whole Slide Pathological Image Classification.

Hailun Cheng, Shenjin Huang, Linghan Cai, Yangfan Xu, Runming Wang, Yongbing Zhang

IEEE Trans. Circuits Syst. Video Technol., June, 2025

DAWN: Domain-Adaptive Weakly Supervised Nuclei Segmentation via Cross-Task Interactions.

Ye Zhang, Yifeng Wang, Zijie Fang, Hao Bian, Linghan Cai, Ziyue Wang, Yongbing Zhang

IEEE Trans. Circuits Syst. Video Technol., May, 2025

Prototype-Guided Cross-Modal Knowledge Enhancement for Adaptive Survival Prediction.

Fengchun Liu, Linghan Cai, Zhikang Wang, Zhiyuan Fan, Jin-gang Yu, Hao Chen, Yongbing Zhang

CoRR, March, 2025

AttriMIL: Revisiting attention-based multiple instance learning for whole-slide pathological image classification from a perspective of instance attributes.

Linghan Cai, Shenjin Huang, Ye Zhang, Jinpeng Lu, Yongbing Zhang

Medical Image Anal., 2025

AMKD: Adaptive Multi-modality Knowledge Distillation for Pathological Survival Analysis.

Yangfan Xu, Linghan Cai, Yifeng Wang, Hailun Cheng, Fengchun Liu, Runming Wang, Yongbing Zhang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024

Know your orientation: A viewpoint-aware framework for polyp segmentation.

Linghan Cai, Lijiang Chen, Jianhao Huang, Yifeng Wang, Yongbing Zhang

Medical Image Anal., 2024

Rethinking Attention-Based Multiple Instance Learning for Whole-Slide Pathological Image Classification: An Instance Attribute Viewpoint.

Linghan Cai, Shenjin Huang, Ye Zhang, Jinpeng Lu, Yongbing Zhang

CoRR, 2024

Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance Segmentation.

Ye Zhang, Ziyue Wang, Yifeng Wang, Hao Bian, Linghan Cai, Hengrui Li, Lingbo Zhang, Yongbing Zhang

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

Dynamic Pseudo Label Optimization in Point-Supervised Nuclei Segmentation.

Ziyue Wang, Ye Zhang, Yifeng Wang, Linghan Cai, Yongbing Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

H2ASeg: Hierarchical Adaptive Interaction and Weighting Network for Tumor Segmentation in PET/CT Images.

Jinpeng Lu, Jingyun Chen, Linghan Cai, Songhan Jiang, Yongbing Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Multimodal Cross-Task Interaction for Survival Analysis in Whole Slide Pathological Images.

Songhan Jiang, Zhengyu Gan, Linghan Cai, Yifeng Wang, Yongbing Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

A Localization-to-Segmentation Framework for Automatic Tumor Segmentation in Whole-Body PET/CT Images.

Linghan Cai, Jianhao Huang, Zihang Zhu, Jinpeng Lu, Yongbing Zhang

CoRR, 2023

2022

A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic Segmentation.

Qi Zhao, Shuchang Lyu, Wenpei Bai, Linghan Cai, Binghao Liu, Meijing Wu, Xiubo Sang, Min Yang, Lijiang Chen

CoRR, 2022

Using Guided Self-Attention with Local Information for Polyp Segmentation.

Linghan Cai, Meijing Wu, Lijiang Chen, Wenpei Bai, Min Yang, Shuchang Lyu, Qi Zhao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2012

Device communication: a multi-modal communication platform for internet connected televisions.

James Cortez, David A. Shamma, Linghan Cai

Proceedings of the 10th European Conference on Interactive TV and Video, 2012