Jiangbo Shi

Orcid: 0000-0003-0180-3086

According to our database1, Jiangbo Shi authored at least 11 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

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

Meta Mask Correction for Nuclei Segmentation in Histopathological Image.
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
OpenHI: open platform for histopathological image annotation.
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

OpenHI2 - Open source histopathological image platform.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019


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