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Ashkan Khakzar
Ashkan Khakzar
Verified email at eng.ox.ac.uk - Homepage
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On the reproducibility of expert-operated and robotic ultrasound acquisitions
R Kojcev, A Khakzar, B Fuerst, O Zettinig, C Fahkry, R DeJong, J Richmon, ...
International journal of computer assisted radiology and surgery 12, 1003-1011, 2017
442017
Neural Response Interpretation through the Lens of Critical Pathways
A Khakzar, S Baselizadeh, S Khanduja, C Rupprecht, ST Kim, N Navab
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
38*2021
Fine-grained neural network explanation by identifying input features with predictive information
Y Zhang, A Khakzar, Y Li, A Farshad, ST Kim, N Navab
Advances in Neural Information Processing Systems 34, 20040-20051, 2021
242021
Learning Interpretable Features via Adversarially Robust Optimization
A Khakzar, S Albarqouni, N Navab
International Conference on Medical Image Computing and Computer-Assisted …, 2019
222019
Spatio-temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation
S Denner, A Khakzar, M Sajid, M Saleh, Z Spiclin, ST Kim, N Navab
International Conference on Medical Image Computing and Computer-Assisted …, 2020
212020
Do explanations explain? model knows best
A Khakzar, P Khorsandi, R Nobahari, N Navab
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
182022
Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models
A Khakzar, S Musatian, J Buchberger, IV Quiroz, N Pinger, S Baselizadeh, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2021
162021
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features
A Khakzar, Y Zhang, W Mansour, Y Cai, Y Li, Y Zhang, ST Kim, N Navab
International Conference on Medical Image Computing and Computer-Assisted …, 2021
162021
Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs
ST Kim, L Goli, M Paschali, A Khakzar, M Keicher, T Czempiel, E Burian, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2021
122021
Chexplaining in style: Counterfactual explanations for chest x-rays using stylegan
M Atad, V Dmytrenko, Y Li, X Zhang, M Keicher, J Kirschke, B Wiestler, ...
arXiv preprint arXiv:2207.07553, 2022
102022
Rethinking Positive Aggregation and Propagation of Gradients in Gradient-based Saliency Methods
A Khakzar, S Baselizadeh, N Navab
International Conference on Machine Learning (ICML) 2020, Workshop on Human …, 2020
82020
Flexr: Few-shot classification with language embeddings for structured reporting of chest x-rays
M Keicher, K Zaripova, T Czempiel, K Mach, A Khakzar, N Navab
Medical Imaging with Deep Learning, 1493-1508, 2024
7*2024
A survey on transferability of adversarial examples across deep neural networks
J Gu, X Jia, P de Jorge, W Yu, X Liu, A Ma, Y Xun, A Hu, A Khakzar, Z Li, ...
arXiv preprint arXiv:2310.17626, 2023
62023
Interpretable vertebral fracture diagnosis
P Engstler, M Keicher, D Schinz, K Mach, AS Gersing, SC Foreman, ...
International Workshop on Interpretability of Machine Intelligence in …, 2022
52022
Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images
A Sadafi, O Adonkina, A Khakzar, P Lienemann, RM Hehr, D Rueckert, ...
International Conference on Information Processing in Medical Imaging, 170-182, 2023
22023
AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments
Y Zhang, Y Li, H Brown, M Rezaei, B Bischl, P Torr, A Khakzar, ...
arXiv preprint arXiv:2310.06514, 2024
2024
A Dual-Perspective Approach to Evaluating Feature Attribution Methods
Y Li, Y Zhang, K Kawaguchi, A Khakzar, B Bischl, M Rezaei
arXiv preprint arXiv:2308.08949, 2023
2023
Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs (preprint)
ST Kim, L Goli, M Paschali, A Khakzar, M Keicher, T Czempiel, E Burian, ...
2021
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