Shelley Zixin Shu

According to our database, Shelley Zixin Shu authored at least 7 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

KEPIL: Knowledge-Enhanced Prompt-Image Learning for Prompt-Robust Disease Detection.

Haozhe Luo, Shelley Zixin Shu, Ziyu Zhou, Robert Berke, Mauricio Reyes

CoRR, May, 2026

XBench: A Comprehensive Benchmark for Visual-Language Explanations in Chest Radiography.

Haozhe Luo, Shelley Zixin Shu, Ziyu Zhou, Sebastian Otálora, Mauricio Reyes

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

2025

XBench: A Comprehensive Benchmark for Visual-Language Explanations in Chest Radiography.

Haozhe Luo, Shelley Zixin Shu, Ziyu Zhou, Sebastian Otalora, Mauricio Reyes

CoRR, October, 2025

Hybrid Explanation-Guided Learning for Transformer-Based Chest X-Ray Diagnosis.

Shelley Zixin Shu, Haozhe Luo, Alexander Poellinger, Mauricio Reyes

Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, 2025

On the Interplay of Human-AI Alignment, Fairness, and Performance Trade-Offs in Medical Imaging.

Haozhe Luo, Ziyu Zhou, Shelley Zixin Shu, Aurélie Pahud de Mortanges, Robert Berke, Mauricio Reyes

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024

Orchestrating explainable artificial intelligence for multimodal and longitudinal data in medical imaging.

Aurélie Pahud de Mortanges, Haozhe Luo, Shelley Zixin Shu, Amith Kamath, Yannick Suter, Mohamed Shelan, Alexander Poellinger, Mauricio Reyes

npj Digit. Medicine, 2024

INFORMER- Interpretability Founded Monitoring of Medical Image Deep Learning Models.

Shelley Zixin Shu, Aurélie Pahud de Mortanges, Alexander Poellinger, Dwarikanath Mahapatra, Mauricio Reyes

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2024