Explainable Artificial Intelligence for Breast Tumour Classification: Helpful or Harmful. - Amy Rafferty; Rudolf Nenutil; Ajitha Rajan (iMIMIC@MICCAI, 2022)

A Robust Bias Mitigation Procedure Based on the Stereotype Content Model. - Eddie L. Ungless; Amy Rafferty; Hrichika Nag; Björn Ross (CoRR, 2022)

Challenges in Explaining Brain Tumor Detection. - Bénédicte Legastelois; Amy Rafferty; Paul Brennan; Hana Chockler; Ajitha Rajan; Vaishak Belle (TAS, 2023)

Transparent and Clinically Interpretable AI for Lung Cancer Detection in Chest X-Rays. - Amy Rafferty; Rishi Ramaesh; Ajitha Rajan (CoRR, 2024)

CoRPA: Adversarial Image Generation for Chest X-rays Using Concept Vector Perturbations and Generative Models. - Amy Rafferty; Rishi Ramaesh; Ajitha Rajan (ICHI, 2025)

Leveraging Expert Input for Robust and Explainable AI-Assisted Lung Cancer Detection in Chest X-rays. - Amy Rafferty; Rishi Ramaesh; Ajitha Rajan (ICHI, 2025)

Explainability Through Human-Centric Design for XAI in Lung Cancer Detection. - Amy Rafferty; Rishi Ramaesh; Ajitha Rajan (CoRR, 2025)