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Publications of Xiaoxing Li at Hamarneh Lab
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Articles in journal, book chapters
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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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Last modified: Thu Aug 1 12:06:05 2024
Author: hamarneh.
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