Siegfried K. Wagner

According to our database, Siegfried K. Wagner authored at least 4 papers between 2021 and 2025.

Collaborative distances:

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

2025

Is an Ultra Large Natural Image-Based Foundation Model Superior to a Retina-Specific Model for Detecting Ocular and Systemic Diseases?

Qingshan Hou, Yukun Zhou, Jocelyn Hui Lin Goh, Ke Zou, Samantha Min Er Yew, Sahana Srinivasan, Meng Wang, Thaddaeus Wai Soon Lo, Xiaofeng Lei, Siegfried K. Wagner, Mark A. Chia, Dawei Yang, Hongyang Jiang, Emma Anran Ran, Rui Santos, Gábor Márk Somfai, Juan Helen Zhou, Haoyu Chen, Qingyu Chen, Carol Yim-lui Cheung, Pearse A. Keane, Yih Chung Tham

CoRR, February, 2025

2024

CF-Loss: Clinically-relevant feature optimised loss function for retinal multi-class vessel segmentation and vascular feature measurement.

Yukun Zhou, Moucheng Xu, Yipeng Hu, Stefano B. Blumberg, An Zhao, Siegfried K. Wagner, Pearse A. Keane, Daniel C. Alexander

Medical Image Anal., 2024

2022

VAFO-Loss: VAscular Feature Optimised Loss Function for Retinal Artery/Vein Segmentation.

Yukun Zhou, Moucheng Xu, Yipeng Hu, Stefano B. Blumberg, An Zhao, Siegfried K. Wagner, Pearse A. Keane, Daniel C. Alexander

CoRR, 2022

2021

Code-free deep learning for multi-modality medical image classification.

Edward Korot, Zeyu Guan, Daniel Ferraz, Siegfried K. Wagner, Gongyu Zhang, Xiaoxuan Liu, Livia Faes, Nikolas Pontikos, Samuel G. Finlayson, Hagar Khalid, Gabriella Moraes, Konstantinos Balaskas, Alastair K. Denniston, Pearse A. Keane

Nat. Mach. Intell., 2021