Jiangbo Shi
Orcid: 0000-0003-0180-3086
According to our database1,
Jiangbo Shi
authored at least 11 papers
between 2019 and 2024.
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Bibliography
2024
E2-MIL: An explainable and evidential multiple instance learning framework for whole slide image classification.
Medical Image Anal., 2024
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
MG-Trans: Multi-Scale Graph Transformer With Information Bottleneck for Whole Slide Image Classification.
IEEE Trans. Medical Imaging, December, 2023
A Structure-Aware Hierarchical Graph-Based Multiple Instance Learning Framework for pT Staging in Histopathological Image.
IEEE Trans. Medical Imaging, October, 2023
Semi-Supervised Pixel Contrastive Learning Framework for Tissue Segmentation in Histopathological Image.
IEEE J. Biomed. Health Informatics, 2023
2021
Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Renal Cell Carcinoma Detection and Subtyping with Minimal Point-Based Annotation in Whole-Slide Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
Int. J. Data Min. Bioinform., 2019
Effects of annotation granularity in deep learning models for histopathological images.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019