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Research Frontiers in Adversarial Robustness in Medical Image Analysis

Improving diagnostic AI models'' resilience against adversarial perturbations and distribution shifts in radiological imaging datasets.

Adversarial Perturbations in Diagnostic Confidence Boundaries
Robustness Certification for Clinical Decision Support Systems
Domain Shift as Adversarial Attack in Medical Imaging
Interpretability-Robustness Trade-offs in Pathology Detection
Physical-World Adversarial Attacks on Medical Scanners
Certified Defenses for Multi-Organ Segmentation Networks
Adversarial Examples in Low-Resource Medical Datasets
Cross-Modality Adversarial Transferability in Radiology
Distributional Robustness in Federated Medical Imaging
Imperceptible Artifacts Mimicking Pathological Features

All AI Digital Health PhD categories