| 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 | 31 | 2017 |
| 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 | 27* | 2021 |
| 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 | 15 | 2020 |
| Learning Interpretable Features via Adversarially Robust Optimization A Khakzar, S Albarqouni, N Navab International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 15 | 2019 |
| 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 | 11 | 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 International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 11 | 2021 |
| 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 | 10 | 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, ... International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 8 | 2021 |
| 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 | 7 | 2020 |
| 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 | 6 | 2022 |
| 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 | 3 | 2022 |
| Interpretable Vertebral Fracture Diagnosis P Engstler, M Keicher, D Schinz, K Mach, AS Gersing, SC Foreman, ... Interpretability of Machine Intelligence in Medical Image Computing: 5th …, 2022 | 2 | 2022 |
| Few-shot Structured Radiology Report Generation Using Natural Language Prompts M Keicher, K Mullakaeva, T Czempiel, K Mach, A Khakzar, N Navab arXiv preprint arXiv:2203.15723, 2022 | 2 | 2022 |
| 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, 2023 | | 2023 |
| 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, ... arXiv preprint arXiv:2303.08632, 2023 | | 2023 |
| Analyzing the Effects of Handling Data Imbalance on Learned Features from Medical Images by Looking Into the Models A Khakzar, Y Li, Y Zhang, M Sanisoglu, ST Kim, M Rezaei, B Bischl, ... arXiv preprint arXiv:2204.01729, 2022 | | 2022 |
Nassir NavabProfessor of Computer Science, Technische Universität MünchenVerified email at cs.tum.edu
