Tina Yen

According to our database, Tina Yen authored at least 4 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Self-Learned Representation-Guided Latent Diffusion Model for Breast Cancer Classification in Deep Ultraviolet Whole Surface Images.

Pouya Afshin, David S. Helminiak, Tianling Niu, Julie Jorns, Tina Yen, Bing Yu, Dong Hye Ye

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Breast Cancer Classification in Deep Ultraviolet Fluorescence Images Using a Patch-Level Vision Transformer Framework.

Pouya Afshin, David S. Helminiak, Tongtong Lu, Tina Yen, Julie Jorns, Mollie Patton, Bing Yu, Dong Hye Ye

CoRR, May, 2025

2024

Deep Learning for Automated Detection of Breast Cancer in Deep Ultraviolet Fluorescence Images with Diffusion Probabilistic Model.

Sepehr Salem Ghahfarokhi, Tyrell To, Julie Jorns, Tina Yen, Bing Yu, Dong Hye Ye

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2021

Breast cancer magnification-independent multi-class histopathology classification using dual-step model.

Nathan Lang, Devansh Saxena, Tina Yen, Julie Jorns, Bing Yu, Dong Hye Ye

Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021