publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2023

  1. IPMI
    Pixel-level explanation of multiple instance learning models in biomedical single cell images
    Ario Sadafi, Oleksandra Adonkina, Ashkan Khakzar, and 5 more authors
    In Information Processing in Medical Imaging, 2023
  2. MIDL
    FlexR: Few-shot Classification with Language Embeddings for Structured Reporting of Chest X-rays
    Matthias Keicher, Kamilia Zaripova, Tobias Czempiel, and 3 more authors
    In Medical Imaging with Deep Learning, 2023

2022

  1. CVPR
    Do explanations explain? model knows best
    Ashkan Khakzar, Pedram Khorsandi, Rozhin Nobahari, and 1 more author
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
    HTML Code
  2. ICML Workshop
    Analyzing the Effects of Handling Data Imbalance on Learned Features from Medical Images by Looking Into the Models
    Ashkan Khakzar, Yawei Li, Yang Zhang, and 5 more authors
    arXiv preprint arXiv:2204.01729, 2022
    arXiv Code
  3. ICML Workshop
    CheXplaining in Style: Counterfactual Explanations for Chest X-rays using StyleGAN
    Matan Atad, Vitalii Dmytrenko, Yitong Li, and 6 more authors
    arXiv preprint arXiv:2207.07553, 2022
    arXiv Code
  4. MICCAI Workshop
    Interpretable Vertebral Fracture Diagnosis
    Paul Engstler, Matthias Keicher, David Schinz, and 11 more authors
    In Interpretability of Machine Intelligence in Medical Image Computing, 2022
    arXiv HTML Code

2021

  1. CVPR
    Neural Response Interpretation through the Lens of Critical Pathways
    Ashkan Khakzar, Soroosh Baselizadeh, Saurabh Khanduja, and 3 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021
    HTML Code Website
  2. NeurIPS
    Fine-grained neural network explanation by identifying input features with predictive information
    Yang Zhang*, Ashkan Khakzar*, Yawei Li, and 3 more authors
    Advances in Neural Information Processing Systems, 2021
    HTML Code Website
  3. MICCAI
    Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models
    Ashkan Khakzar, Sabrina Musatian, Jonas Buchberger, and 5 more authors
    In Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, 2021
    arXiv HTML Code
  4. MICCAI
    Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs
    Seong Tae Kim, Leili Goli, Magdalini Paschali, and 7 more authors
    In Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, 2021
    arXiv HTML
  5. MICCAI
    Explaining covid-19 and thoracic pathology model predictions by identifying informative input features
    Ashkan Khakzar, Yang Zhang, Wejdene Mansour, and 5 more authors
    In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2021
    arXiv HTML Code

2020

  1. ICML Workshop
    Rethinking Positive Aggregation and Propagation of Gradients in Gradient-based Saliency Methods
    Ashkan Khakzar, Soroosh Baselizadeh, and Nassir Navab
    arXiv preprint arXiv:2012.00362, 2020
    arXiv
  2. MICCAI Workshop
    Spatio-temporal learning from longitudinal data for multiple sclerosis lesion segmentation
    Stefan Denner, Ashkan Khakzar, Moiz Sajid, and 4 more authors
    In International MICCAI Brainlesion Workshop, 2020
    arXiv HTML Code

2019

  1. Improving Feature Attribution through Input-specific Network Pruning
    Ashkan Khakzar, Soroosh Baselizadeh, Saurabh Khanduja, and 3 more authors
    2019
    arXiv
  2. Explaining neural networks via perturbing important learned features
    Ashkan Khakzar, Soroosh Baselizadeh, Saurabh Khanduja, and 2 more authors
    arXiv preprint arXiv:1911.11081, 2019
    arXiv
  3. MICCAI
    Learning Interpretable Features via Adversarially Robust Optimization
    Ashkan Khakzar, Shadi Albarqouni, and Nassir Navab
    In Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, 2019
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2018