{"componentChunkName":"component---src-templates-page-template-js","path":"/pages/publication/","result":{"data":{"markdownRemark":{"id":"4ac83c79-f7a7-51c5-8740-9b89fc562a17","html":"Publications
\n2025
\n\n- Killeen, B. D.*, Wan, B.*, Kulkarni, A. V., Drenkow, N., Oberst, M., Yi, P. H., & Unberath, M. (2025). Towards Virtual Clinical Trials of Radiology AI with Conditional Generative Modeling. arXiv preprint arXiv:2502.09688. [post]
\n- Wan, B., McNutt, T., Quon, H., & Lee, J. (2025, April). Deep learning xerostomia prediction model with anatomy normalization and high-resolution class activation map. In Medical Imaging 2025: Image-Guided Procedures, Robotic Interventions, and Modeling (Vol. 13408, pp. 275-279). SPIE. [post]
\n- Gong, Z., Wan, B.*, Paranjape, J. N., Sikder, S., Patel, V. M., & Vedula, S. S. (2025). Evaluating the generalizability of video-based assessment of intraoperative surgical skill in capsulorhexis. International Journal of Computer Assisted Radiology and Surgery, 1-9.
\n- Wan, B., McNutt, T. R., Quon, H., & Lee, J. (2025, July). Explainable Xerostomia Prediction with Decoupled High Resolution Class Activation Map. In AAPM 67th Annual Meeting & Exhibition. AAPM.
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\n2024
\n\n- Wan, B., Peven, M., Hager, G., Sikder, S., & Vedula, S. S. (2024). Spatial-temporal attention for video-based assessment of intraoperative surgical skill. Scientific reports, 14(1), 26912. [post]
\n- Wan, B., McNutt, T., Ger, R., Quon, H., & Lee, J. (2024, April). Deep learning prediction of radiation-induced xerostomia with supervised contrastive pre-training and cluster-guided loss. In Medical Imaging 2024: Computer-Aided Diagnosis (Vol. 12927, pp. 286-291). SPIE. [post]
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\n2022
\n\n2021
\n\n- Zhu, L.*, Wan, B.*, Li, C., Tian, G., Hou, Y., & Yuan, K. Dyadic relational graph convolutional networks for skeleton-based human interaction recognition (Pattern Recognition, 2021). [post]
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