1. Weina Jin, Xiaoxiao Li, Mostafa Fatehi, and Ghassan Hamarneh. Generating Post-Hoc Explanation from Deep Neural Networks for Multi-Modal Medical Image Analysis Tasks. MethodX, 10(102009):1-7, 2023. Keyword(s): Deep Learning, Explainable AI (XAI), Multimodal, Software and Tools. [bibtex-key = methodx2023]



2. Weina Jin, Xiaoxiao Li, Mostafa Fatehi, and Ghassan Hamarneh. Guidelines and evaluation for clinical explainable AI in medical image analysis. Medical Image Analysis (MedIA), 102684:1-30, 2022. Keyword(s): Deep Learning, Explainable AI (XAI), Multimodal. [bibtex-key = media2022b]



3. Ghassan Hamarneh and Xiaoxing Li. Watershed Segmentation using Prior Shape and Appearance Knowledge. Journal of Image and Vision Computing, 27(1-2):59-68, 2009. Keyword(s): Segmentation, Shape Modelling and Analysis. [bibtex-key = jivc2009]

1. Weina Jin, Xiaoxiao Li, and Ghassan Hamarneh. Evaluating Explainable AI on Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements?. In Association for the Advancement of Artificial Intelligence Conference (AAAI), volume 36, pages 11945-11953, 2022. Keyword(s): Deep Learning, Explainable AI (XAI), Glioma Imaging, Machine Learning, MRI, Multimodal. [bibtex-key = aaai2022]



2. Weina Jin, Xiaoxiao Li, and Ghassan Hamarneh. One Map Does Not Fit All: Evaluating Saliency Map Explanation on Multi-Modal Medical Images. In International Conference on Machine Learning (ICML) workshop on Interpretable Machine Learning in Healthcare (IMLH), pages 1-13, 2021. Keyword(s): Deep Learning, Explainable AI (XAI), Glioma Imaging, Multimodal. [bibtex-key = icml_imlh2021]



3. Xiaoxing Li and Ghassan Hamarneh. Modeling Prior Shape and Appearance Knowledge in Watershed Segmentation. In Canadian Conference on Computer and Robot Vision (CRV), pages 27-33, 2005. Keyword(s): Segmentation, Shape Modelling and Analysis. [bibtex-key = crv2005]

1. Weina Jin, Xiaoxiao Li, and Ghassan Hamarneh. The XAI Alignment Problem: Rethinking How Should We Evaluate Human-Centered AI Explainability Techniques. Technical report arxiv.2303.17707, 4 2023. Keyword(s): Explainable AI (XAI). [bibtex-key = arxiv:2303.17707]



2. Weina Jin, Jianyu Fan, Diane Gromala, Philippe Pasquier, Xiaoxiao Li, and Ghassan Hamarneh. Transcending XAI Algorithm Boundaries through End-User-Inspired Design. Technical report arXiv:2208.08739, 8 2022. Keyword(s): Deep Learning, Explainable AI (XAI), Multimodal. [bibtex-key = arxiv:2208.08739]



3. Weina Jin, Xiaoxiao Li, Mostafa Fatehi, and Ghassan Hamarneh. Guidelines and evaluation for clinical explainable AI on medical image analysis. Technical report arXiv:2202.10553, 2 2022. Keyword(s): Deep Learning, Explainable AI (XAI). [bibtex-key = arxiv:2202.10553]



4. Weina Jin, Xiaoxiao Li, and Ghassan Hamarneh. Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements?. Technical report arXiv:2203.06487, 3 2022. Keyword(s): Deep Learning, Explainable AI (XAI), Multimodal. [bibtex-key = arxiv:2203.06487]

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