Ashkan Khakzar

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 35

Top Topics

Lesion Segmentation

Semantic Interpretation

Robust Optimization

Top Venues

Int. J. Comput. Assist. Radiol. Surg.

Publications

Jindong Gu, Xiaojun Jia, Pau de Jorge, Wenqian Yu, Xinwei Liu, Avery Ma, Yuan Xun, Anjun Hu, Ashkan Khakzar, Zhijiang Li, Xiaochun Cao, Philip Torr
A Survey on Transferability of Adversarial Examples Across Deep Neural Networks. Trans. Mach. Learn. Res. 2024 (2024)
Runtao Liu, Ashkan Khakzar, Jindong Gu, Qifeng Chen, Philip H. S. Torr, Fabio Pizzati
Latent Guard: a Safety Framework for Text-to-image Generation. CoRR (2024)
Razieh Rezaei, Alireza Dizaji, Ashkan Khakzar, Anees Kazi, Nassir Navab, Daniel Rueckert
On Discprecncies between Perturbation Evaluations of Graph Neural Network Attributions. CoRR (2024)
Razieh Rezaei, Masoud Jalili Sabet, Jindong Gu, Daniel Rueckert, Philip H. S. Torr, Ashkan Khakzar
Learning Visual Prompts for Guiding the Attention of Vision Transformers. CoRR (2024)
Matthias Keicher, Kamilia Zaripova, Tobias Czempiel, Kristina Mach, Ashkan Khakzar, Nassir Navab
FlexR: Few-shot Classification with Language Embeddings for Structured Reporting of Chest X-rays. MIDL (2023)
Ario Sadafi, Oleksandra Adonkina, Ashkan Khakzar, Peter Lienemann, Rudolf Matthias Hehr, Daniel Rueckert, Nassir Navab, Carsten Marr
Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images. CoRR (2023)
Jindong Gu, Xiaojun Jia, Pau de Jorge, Wenqian Yu, Xinwei Liu, Avery Ma, Yuan Xun, Anjun Hu, Ashkan Khakzar, Zhijiang Li, Xiaochun Cao, Philip H. S. Torr
A Survey on Transferability of Adversarial Examples across Deep Neural Networks. CoRR (2023)
Yawei Li, Yang Zhang, Kenji Kawaguchi, Ashkan Khakzar, Bernd Bischl, Mina Rezaei
A Dual-Perspective Approach to Evaluating Feature Attribution Methods. CoRR (2023)
Ario Sadafi, Oleksandra Adonkina, Ashkan Khakzar, Peter Lienemann, Rudolf Matthias Hehr, Daniel Rueckert, Nassir Navab, Carsten Marr
Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images. IPMI (2023)
Yang Zhang, Yawei Li, Hannah Brown, Mina Rezaei, Bernd Bischl, Philip Torr, Ashkan Khakzar, Kenji Kawaguchi
AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments. CoRR (2023)
Paul Engstler, Matthias Keicher, David Schinz, Kristina Mach, Alexandra S. Gersing, Sarah C. Foreman, Sophia S. Goller, Juergen Weissinger, Jon Rischewski, Anna-Sophia Dietrich, Benedikt Wiestler, Jan S. Kirschke, Ashkan Khakzar, Nassir Navab
Interpretable Vertebral Fracture Diagnosis. iMIMIC@MICCAI (2022)
Ashkan Khakzar, Pedram Khorsandi, Rozhin Nobahari, Nassir Navab
Do Explanations Explain? Model Knows Best. CVPR (2022)
Matthias Keicher, Kamilia Mullakaeva, Tobias Czempiel, Kristina Mach, Ashkan Khakzar, Nassir Navab
Few-shot Structured Radiology Report Generation Using Natural Language Prompts. CoRR (2022)
Ashkan Khakzar, Yawei Li, Yang Zhang, Mirac Sanisoglu, Seong Tae Kim, Mina Rezaei, Bernd Bischl, Nassir Navab
Analyzing the Effects of Handling Data Imbalance on Learned Features from Medical Images by Looking Into the Models. CoRR (2022)
Ashkan Khakzar, Pedram Khorsandi, Rozhin Nobahari, Nassir Navab
Do Explanations Explain? Model Knows Best. CoRR (2022)
Paul Engstler, Matthias Keicher, David Schinz, Kristina Mach, Alexandra S. Gersing, Sarah C. Foreman, Sophia S. Goller, Juergen Weissinger, Jon Rischewski, Anna-Sophia Dietrich, Benedikt Wiestler, Jan S. Kirschke, Ashkan Khakzar, Nassir Navab
Interpretable Vertebral Fracture Diagnosis. CoRR (2022)
Matan Atad, Vitalii Dmytrenko, Yitong Li, Xinyue Zhang, Matthias Keicher, Jan Kirschke, Benedikt Wiestler, Ashkan Khakzar, Nassir Navab
CheXplaining in Style: Counterfactual Explanations for Chest X-rays using StyleGAN. CoRR (2022)
Yang Zhang, Ashkan Khakzar, Yawei Li, Azade Farshad, Seong Tae Kim, Nassir Navab
Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information. NeurIPS (2021)
Ashkan Khakzar, Soroosh Baselizadeh, Saurabh Khanduja, Christian Rupprecht, Seong Tae Kim, Nassir Navab
Neural Response Interpretation Through the Lens of Critical Pathways. CVPR (2021)
Ashkan Khakzar, Yang Zhang, Wejdene Mansour, Yuezhi Cai, Yawei Li, Yucheng Zhang, Seong Tae Kim, Nassir Navab
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features. CoRR (2021)
Seong Tae Kim, Leili Goli, Magdalini Paschali, Ashkan Khakzar, Matthias Keicher, Tobias Czempiel, Egon Burian, Rickmer Braren, Nassir Navab, Thomas Wendler
Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs. MICCAI (7) (2021)
Ashkan Khakzar, Yang Zhang, Wejdene Mansour, Yuezhi Cai, Yawei Li, Yucheng Zhang, Seong Tae Kim, Nassir Navab
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features. MICCAI (3) (2021)
Seong-Tae Kim, Leili Goli, Magdalini Paschali, Ashkan Khakzar, Matthias Keicher, Tobias Czempiel, Egon Burian, Rickmer Braren, Nassir Navab, Thomas Wendler
Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs. CoRR (2021)
Ashkan Khakzar, Sabrina Musatian, Jonas Buchberger, Icxel Valeriano Quiroz, Nikolaus Pinger, Soroosh Baselizadeh, Seong Tae Kim, Nassir Navab
Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models. MICCAI (3) (2021)
Yang Zhang, Ashkan Khakzar, Yawei Li, Azade Farshad, Seong Tae Kim, Nassir Navab
Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information. CoRR (2021)
Ashkan Khakzar, Sabrina Musatian, Jonas Buchberger, Icxel Valeriano Quiroz, Nikolaus Pinger, Soroosh Baselizadeh, Seong Tae Kim, Nassir Navab
Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models. CoRR (2021)
Ashkan Khakzar, Soroosh Baselizadeh, Saurabh Khanduja, Christian Rupprecht, Seong Tae Kim, Nassir Navab
Neural Response Interpretation through the Lens of Critical Pathways. CoRR (2021)
Ashkan Khakzar, Soroosh Baselizadeh, Nassir Navab
Rethinking Positive Aggregation and Propagation of Gradients in Gradient-based Saliency Methods. CoRR (2020)
Stefan Denner, Ashkan Khakzar, Moiz Sajid, Mahdi Saleh, Ziga Spiclin, Seong-Tae Kim, Nassir Navab
Spatio-Temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation. BrainLes@MICCAI (1) (2020)
Stefan Denner, Ashkan Khakzar, Moiz Sajid, Mahdi Saleh, Ziga Spiclin, Seong Tae Kim, Nassir Navab
Spatio-temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation. CoRR (2020)
Ashkan Khakzar, Shadi Albarqouni, Nassir Navab
Learning Interpretable Features via Adversarially Robust Optimization. MICCAI (6) (2019)
Ashkan Khakzar, Soroosh Baselizadeh, Saurabh Khanduja, Seong Tae Kim, Nassir Navab
Explaining Neural Networks via Perturbing Important Learned Features. CoRR (2019)
Risto Kojcev, Ashkan Khakzar, Bernhard Fuerst, Oliver Zettinig, Carole Fakhry, Robert DeJong, Jeremy Richmon, Russell H. Taylor, Edoardo Sinibaldi, Nassir Navab
Correction to: On the reproducibility of expert-operated and robotic ultrasound acquisitions. Int. J. Comput. Assist. Radiol. Surg. 14 (10) (2019)
Ashkan Khakzar, Shadi Albarqouni, Nassir Navab
Learning Interpretable Features via Adversarially Robust Optimization. CoRR (2019)
Risto Kojcev, Ashkan Khakzar, Bernhard Fuerst, Oliver Zettinig, Carole Fahkry, Robert DeJong, Jeremy D. Richmon, Russell H. Taylor, Edoardo Sinibaldi, Nassir Navab
On the reproducibility of expert-operated and robotic ultrasound acquisitions. Int. J. Comput. Assist. Radiol. Surg. 12 (6) (2017)