Siyang Feng

Orcid: 0009-0007-8559-5769

According to our database1, Siyang Feng authored at least 10 papers between 2021 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
Multi-layer Feature Fusion and Coarse-to-fine Label Learning for Semi-supervised Lesion Segmentation of Lung Cancer.
Knowl. Based Syst., 2025

Uncertainty-guided cross teaching semi-supervised framework for histopathology image segmentation with curriculum self-training.
Appl. Soft Comput., 2025

Weakly Supervised Gland Segmentation with Class Semantic Consistency and Purified Labels Filtration.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

CA-MLIF: Cross-Attention and Multimodal Low-Rank Interaction Fusion Framework for Tumor Prognostic Prediction.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
LesionMix data enhancement and entropy minimization for semi-supervised lesion segmentation of lung cancer.
Appl. Soft Comput., 2024

Mining Gold from the Sand: Weakly Supervised Histological Tissue Segmentation with Activation Relocalization and Mutual Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

EOFD-Net: Edge Optimization and Feature Denoising for Weakly Supervised Deep Nuclei Segmentation with Point Annotations.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Dual Branch Fusion Network for Pathological Image Classification with Extreme Different Image Size.
Proceedings of the Pattern Recognition - 7th Asian Conference, 2023

2021
Three Survival-Related Genes of Esophageal Squamous Cell Carcinoma Identified by Weighted Gene Coexpression Network Analysis.
Complex., 2021

The first comprehensive database of germline pathogenic variants in East Asian cancer patients.
Database J. Biol. Databases Curation, 2021


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