Sotirios A. Tsaftaris

AI in Medical Imaging Informatics: Current Challenges and Future Directions

2020 · 629 Zit. · IEEE Journal of Biomedical and Health Informatics

Metrics reloaded: recommendations for image analysis validation

2024 · 349 Zit. · Nature Methods

Understanding metric-related pitfalls in image analysis validation

2024 · 156 Zit. · Nature Methods

Metrics reloaded: Recommendations for image analysis validation

2022 · 62 Zit. · arXiv (Cornell University)

Disentangled Representations for Domain-Generalized Cardiac Segmentation

2021 · 24 Zit. · Lecture notes in computer science

Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health

2021 · 21 Zit. · Lecture notes in computer science

Understanding metric-related pitfalls in image analysis validation

2023 · 20 Zit. · arXiv (Cornell University)

Have You Forgotten? A Method to Assess if Machine Learning Models Have Forgotten Data

2020 · 19 Zit. · Lecture notes in computer science

Debiasing Counterfactuals in the Presence of Spurious Correlations

2023 · 10 Zit. · Lecture notes in computer science

GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging

2021 · 10 Zit. · Edinburgh Research Explorer (University of Edinburgh)

Measuring Unintended Memorisation of Unique Private Features in Neural Networks

2022 · 5 Zit. · arXiv (Cornell University)

Why Patient Data Cannot Be Easily Forgotten?

2022 · 5 Zit. · Lecture notes in computer science

Domain Adaptation and Representation Transfer

2022 · 4 Zit. · Lecture notes in computer science

Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction

2023 · 4 Zit. · Lecture notes in computer science

All You Need Is a Guiding Hand: Mitigating Shortcut Bias in Deep Learning Models for Medical Imaging

2024 · 3 Zit. · Lecture notes in computer science