3 papers
cs.CV2026
KEPIL: Knowledge-Enhanced Prompt-Image Learning for Prompt-Robust Disease Detection
Haozhe Luo, Shelley Zixin Shu, Ziyu Zhou +2
Vision--language models (VLMs) show promise for clinical decision support in radiology because they enable joint reasoning over radiological images and clinical text, thereby lever…
cs.CV2025
On the Interplay of Human-AI Alignment,Fairness, and Performance Trade-offs in Medical Imaging
Haozhe Luo, Ziyu Zhou, Zixin Shu +3
Deep neural networks excel in medical imaging but remain prone to biases, leading to fairness gaps across demographic groups. We provide the first systematic exploration of Human-A…
cs.CV2025
Training state-of-the-art pathology foundation models with orders of magnitude less data
Mikhail Karasikov, Joost van Doorn, Nicolas Känzig +5
The field of computational pathology has recently seen rapid advances driven by the development of modern vision foundation models (FMs), typically trained on vast collections of p…