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Linghan Cai

Showing results (1-10 of 7) with videos related to

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IEEE Journal of Biomedical and Health Informatics|April 30, 2025
SEINE: Structure Encoding and Interaction Network for Nuclei Instance SegmentationYe Zhang, Linghan Cai, Ziyue Wang, et al.
Medical Image Analysis|August 3, 2024
Know your orientation: A viewpoint-aware framework for polyp segmentationLinghan Cai, Lijiang Chen, Jianhao Huang, et al.
Medical Image Analysis|May 17, 2025
AttriMIL: Revisiting attention-based multiple instance learning for whole-slide pathological image classification from a perspective of instance attributesLinghan Cai, Shenjin Huang, Ye Zhang, et al.
IEEE Transactions on Medical Imaging|August 22, 2025
Uncertainty-Aware Survival Analysis with Dirichlet Distribution for Multi-Scale Pathology and GenomicsSonghan Jiang, Linghan Cai, Zhengyu Gan, et al.
IEEE Transactions on Medical Imaging|May 14, 2025
Disentangled Pseudo-bag Augmentation for Whole Slide Image Multiple Instance LearningJiuyang Dong, Junjun Jiang, Kui Jiang, et al.
Bioengineering (Basel, Switzerland)|February 25, 2023
Improving the Segmentation Accuracy of Ovarian-Tumor Ultrasound Images Using Image InpaintingLijiang Chen, Changkun Qiao, Meijing Wu, et al.
The Lancet. Digital Health|April 2, 2026
Deep learning model for pathological invasiveness prediction using smartphone-based surgical resection images in clinical stage IA lung adenocarcinoma (SuRImage): a prospective, multicentric, diagnostic studyLintong Yao, Linghan Cai, Maotao Weng, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
IEEE Journal of Biomedical and Health Informatics|April 30, 2025
SEINE: Structure Encoding and Interaction Network for Nuclei Instance SegmentationYe Zhang, Linghan Cai, Ziyue Wang, et al.
Medical Image Analysis|August 3, 2024
Know your orientation: A viewpoint-aware framework for polyp segmentationLinghan Cai, Lijiang Chen, Jianhao Huang, et al.
Medical Image Analysis|May 17, 2025
AttriMIL: Revisiting attention-based multiple instance learning for whole-slide pathological image classification from a perspective of instance attributesLinghan Cai, Shenjin Huang, Ye Zhang, et al.
IEEE Transactions on Medical Imaging|August 22, 2025
Uncertainty-Aware Survival Analysis with Dirichlet Distribution for Multi-Scale Pathology and GenomicsSonghan Jiang, Linghan Cai, Zhengyu Gan, et al.
IEEE Transactions on Medical Imaging|May 14, 2025
Disentangled Pseudo-bag Augmentation for Whole Slide Image Multiple Instance LearningJiuyang Dong, Junjun Jiang, Kui Jiang, et al.
Bioengineering (Basel, Switzerland)|February 25, 2023
Improving the Segmentation Accuracy of Ovarian-Tumor Ultrasound Images Using Image InpaintingLijiang Chen, Changkun Qiao, Meijing Wu, et al.
The Lancet. Digital Health|April 2, 2026
Deep learning model for pathological invasiveness prediction using smartphone-based surgical resection images in clinical stage IA lung adenocarcinoma (SuRImage): a prospective, multicentric, diagnostic studyLintong Yao, Linghan Cai, Maotao Weng, et al.
Pageof 1