Ashkan Khakzar
I have moved to Philip Torr 's group at the University of Oxford.
Checkout my personal website for updates. :)
Selected Publications (First Author)
CVPR | Do Explanations Explain? Model Knows Best | 2022 |
NeurIPS | Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information | 2021 |
CVPR | Neural Response Interpretation Through the Lens of Critical Pathways | 2021 |
MICCAI | Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models | 2021 |
MICCAI | Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features | 2021 |
MICCAI | Learning Interpretable Features via Adversarially Robust Optimization | 2019 |
Research Interests
- Interpreting Neural Networks
- Explainable AI
- Deep Learning for Medical Image Analysis
Awards
Outstanding reviewer:
- IEEE/CVF Computer Vision and Pattern Recognition (CVPR)
- IEEE/CVF European Computer on Computer Vision
Teaching
Since Summer Semester 2019 (tutor and organizer)
- Machine Learning for Medical Imaging (practical course)
- Deep Learning for Medical Applications (seminar course)