1. Weina Jin, Mostafa Fatehi, Kumar Abhishek, Mayur Mallya, Brian Toyota, and Ghassan Hamarneh. Artificial Intelligence in Glioma Imaging: Challenges and Advances. Journal of Neural Engineering, 17(2):021002, 2020. Keyword(s): Glioma Imaging, Machine Learning, Deep Learning, Survey/Review. [bibtex-key = jne2020]

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 and Ghassan Hamarneh. Physician-Centered Explainable AI. In Biomedical Imaging and Artificial Intelligence (BMIAI) cluster Fall Research Showcase, Vancouver, Canada, pages 1, 2021. Keyword(s): Deep Learning, Explainable AI (XAI), Glioma Imaging. [bibtex-key = bmiai2021c]



3. 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]

1. Weina Jin, Mostafa Fatehi, Kumar Abhishek, Mayur Mallya, Brian Toyota, and Ghassan Hamarneh. Artificial Intelligence in Glioma Imaging: Challenges and Advances. Technical report arxiv:1911.12886, 11 2019. Keyword(s): Glioma Imaging, Machine Learning, Deep Learning. [bibtex-key = arxiv:1911.12886]



2. Anmol Sharma and Ghassan Hamarneh. Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial Network. Technical report arxiv:1904.12200, 4 2019. Keyword(s): Glioma Imaging, Machine Learning, Deep Learning, Generative Adversarial Network, Multimodal. [bibtex-key = arxiv:1904.12200]

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