Research output per year
Research output per year
Personal profile
Research interests
My research interests include the development of innovative multi-modality imaging techniques, new image reconstruction, segmentation, and registration techniques, applications of advanced medical imaging and image processing/analysis techniques to diagnostic imaging and radiation therapy, quality improvement of radiation image-guided radiation therapy planning and plan delivery, and medical imaging technique optimizations (CT, MRI, CBCT, etc.) for personalized radiation therapy.
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Collaborations and top research areas from the last five years
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A new method for approximating the ideal observer based on the variational information bottleneck principle
Ji, Z., Park, C., Lu, C., Li, H. & Anastasio, M. A., Apr 3 2026, Medical Imaging 2026: Image Perception, Observer Performance, and Technology Assessment. Anastasio, M. A. & Brankov, J. G. (eds.). SPIE, 139280G. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 13928).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Enhancing deep learning interpretability for hand-crafted feature-guided histologic image classification via weak-to-strong generalization
Fan, Z., Lu, C., Yue, J., Anastasio, M., Sun, L., Wang, X. & Li, H., Jan 1 2026, In: Journal of Medical Imaging. 13, 1, 017502.Research output: Contribution to journal › Article › peer-review
Open Access3 Link opens in a new tab Scopus citations -
Observer-Usable Information as a Task-Specific Image Quality Metric
Lu, C., Sengupta, S., Li, H. & Anastasio, M. A., Jul 1 2026, In: IEEE Transactions on Medical Imaging. 45, 7, p. 3558-3571 14 p.Research output: Contribution to journal › Article › peer-review
Open Access -
A computation-efficient network with feature aggregation for cancer subtype classification on histopathological images
Fan, Z., Zhang, C., Sun, L., Thorstad, W., Gay, H., Wang, X. & Li, H., Nov 23 2025, In: Engineering Applications of Artificial Intelligence. 160, 111913.Research output: Contribution to journal › Article › peer-review
Open Access6 Link opens in a new tab Scopus citations -
Corrigendum to “Joint localization and classification of breast masses on ultrasound images using an auxiliary attention-based framework” [Medical Imaging Analysis 90 (2023) 102960] (Medical Image Analysis (2023) 90, (S1361841523002207), (10.1016/j.media.2023.102960))
Fan, Z., Gong, P., Tang, S., Lee, C. U., Zhang, X., Song, P., Chen, S. & Li, H., Oct 2025, In: Medical Image Analysis. 105, 103695.Research output: Contribution to journal › Comment/debate