Yuxin Kang

According to our database1, Yuxin Kang authored at least 18 papers between 2019 and 2023.

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Bibliography

2023
Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-Level Supervision.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Automated Region Learning Via Cell-Level Labels to Modify Cell Detection Process For Histopathological Images.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Addressing Sparse Annotation: a Novel Semantic Energy Loss for Tumor Cell Detection from Histopathologic Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
A Novel Encoding and Decoding Calibration Guiding Pathway for Pathological Image Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Invariant Content Synergistic Learning for Domain Generalization of Medical Image Segmentation.
CoRR, 2022

Chinese New Media Stocks Liquidity Risk And Spillover Effect.
Proceedings of the 9th International Conference on Information Technology and Quantitative Management, 2022

A bibliometric analysis on urban climate governance.
Proceedings of the 9th International Conference on Information Technology and Quantitative Management, 2022

A Random Feature Augmentation for Domain Generalization in Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Invariant Content Synergistic Learning for Domain Generalization on Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Interpretable Histopathology Image Diagnosis via Whole Tissue Slide Level Supervision.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Robust Pathological Detector Training Method on Sparsely Annotated Datasets via Spatial Cues.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Boosting Boundary Representation for Gland Instance Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
A deep learning-based framework for lung cancer survival analysis with biomarker interpretation.
BMC Bioinform., 2020

A Novel Loss Calibration Strategy for Object Detection Networks Training on Sparsely Annotated Pathological Datasets.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Automated Tumor Proportion Scoring for Assessment of PD-L1 Expression Based on Multi-Stage Ensemble Strategy.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Feature Enhancement And Fusion For Image-Based Particle Matter Estimation With F-MSE Loss.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
$S^{3}$ Net: Trained on a Small Sample Segmentation Network for Biomedical Image Analysis.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Global Bank: A Guided Pathway of Encoding and Decoding for Pathological Image Analysis.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019


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