Ashkan Khakzar
Ashkan Khakzar
Verified email at tum.de
Title
Cited by
Cited by
Year
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 (6 …, 2017
92017
Explaining neural networks via perturbing important learned features
A Khakzar, S Baselizadeh, S Khanduja, ST Kim, N Navab
arXiv preprint arXiv:1911.11081, 2019
7*2019
Learning Interpretable Features via Adversarially Robust Optimization
A Khakzar, S Albarqouni, N Navab
International Conference on Medical Image Computing and Computer-Assisted …, 2019
62019
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
42020
Rethinking Positive Aggregation and Propagation of Gradients in Gradient-based Saliency Methods
A Khakzar, S Baselizadeh, N Navab
International Conference on Machine Learning 2020, 2020
22020
Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models
A Khakzar, S Musatian, J Buchberger, IV Quiroz, N Pinger, S Baselizadeh, ...
arXiv preprint arXiv:2104.02481, 2021
2021
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
arXiv preprint arXiv:2104.00411, 2021
2021
Neural Response Interpretation through the Lens of Critical Pathways
A Khakzar, S Baselizadeh, S Khanduja, C Rupprecht, ST Kim, N Navab
CVPR 2021 (IEEE Computer Vision and Pattern Recognition 2021), 2021
2021
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, ...
arXiv preprint arXiv:2103.07240, 2021
2021
On Sparse Critical Paths of Neural Response
A Khakzar, S Baselizadeh, S Khanduja, C Rupprecht, ST Kim, N Navab
2020
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Articles 1–10