Saiyang Na

According to our database, Saiyang Na authored at least 8 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

Segment Any Cell: A SAM-Based Auto-Prompting Fine-Tuning Framework for Nuclei Segmentation.

Saiyang Na, Yuzhi Guo, Feng Jiang, Hehuan Ma, Jean Gao, Junzhou Huang

IEEE Trans. Neural Networks Learn. Syst., December, 2025

MLLM4PUE: Toward Universal Embeddings in Computational Pathology through Multimodal LLMs.

Qifeng Zhou, Thao M. Dang, Wenliang Zhong, Yuzhi Guo, Hehuan Ma, Saiyang Na, Junzhou Huang

CoRR, February, 2025

Contrastive Pretraining for Computational Pathology with Visual-Language Models.

Qifeng Zhou, Thao M. Dang, Yuzhi Guo, Hehuan Ma, Wenliang Zhong, Saiyang Na, Jean Gao, Junzhou Huang

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024

GTE: a graph learning framework for prediction of T-cell receptors and epitopes binding specificity.

Feng Jiang, Yuzhi Guo, Hehuan Ma, Saiyang Na, Wenliang Zhong, Yi Han, Tao Wang, Junzhou Huang

Briefings Bioinform., July, 2024

Segment Any Cell: A SAM-based Auto-prompting Fine-tuning Framework for Nuclei Segmentation.

Saiyang Na, Yuzhi Guo, Feng Jiang, Hehuan Ma, Junzhou Huang

CoRR, 2024

AlphaEpi: Enhancing B Cell Epitope Prediction with AlphaFold 3.

Feng Jiang, Yuzhi Guo, Hehuan Ma, Saiyang Na, Weizhi An, Bing Song, Yi Han, Jean Gao, Tao Wang, Junzhou Huang

Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

MFMF: Multiple Foundation Model Fusion Networks for Whole Slide Image Classification.

Thao M. Dang, Yuzhi Guo, Hehuan Ma, Qifeng Zhou, Saiyang Na, Jean Gao, Junzhou Huang

Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

2023

Multimodal Deep Fusion in Hyperbolic Space for Mild Cognitive Impairment Study.

Lu Zhang, Saiyang Na, Tianming Liu, Dajiang Zhu, Junzhou Huang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023