3 citations · 9 across the 6 of their papers we have counts for
Showing 2025Show all
3 papers · 1 filter
cs.LG2025
Limitations of Public Chest Radiography Datasets for Artificial Intelligence: Label Quality, Domain Shift, Bias and Evaluation Challenges
Amy Rafferty, Ajitha Rajan
Artificial intelligence has shown significant promise in chest radiography, where deep learning models can approach radiologist-level diagnostic performance. Progress has been acce…
cs.AI2025★ 3 cited
Explainability Through Human-Centric Design for XAI in Lung Cancer Detection
Amy Rafferty, Rishi Ramaesh, Ajitha Rajan
Deep learning models have shown promise in lung pathology detection from chest X-rays, but widespread clinical adoption remains limited due to opaque model decision-making. In prio…
eess.IV2025★ 2 cited
CoRPA: Adversarial Image Generation for Chest X-rays Using Concept Vector Perturbations and Generative Models
Amy Rafferty, Rishi Ramaesh, Ajitha Rajan
Deep learning models for medical image classification tasks are becoming widely implemented in AI-assisted diagnostic tools, aiming to enhance diagnostic accuracy, reduce clinician…