Research output per year
Research output per year
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Dive into the research topics where Mark Anastasio is active. These topic labels come from the works of this person and are generated automatically. Together they form a unique fingerprint. Contact the Profiles team with questions.
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Collaborations and top research areas from the last five years
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A Learning-based Framework for Spatial Impulse Response Compensation in 3D Photoacoustic Computed Tomography
Yang, K., Park, S., Jeong, G., Huang, H. K., Oraevsky, A. A., Villa, U. & Anastasio, M. A., 2026, (Accepted/In press) In: IEEE Transactions on Medical Imaging.Research output: Contribution to journal › Article › peer-review
Open Access -
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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An Input-Dependent Fisher Information-Guided Image Decomposition for Interpreting Classification Networks
Sengupta, S. & Anastasio, M. A., Apr 3 2026, Medical Imaging 2026: Image Perception, Observer Performance, and Technology Assessment. Anastasio, M. A. & Brankov, J. G. (eds.). SPIE, 139280R. (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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Application of a Learned SIR Compensation Method to Improve Elevational Resolution in Ring-Array-Based Photoacoustic Computed Tomography
Yang, K., Park, S., Jeong, G., Liu, C. Z., Tong, X., Cui, M., Ku, G., Villa, U. E., Wang, L. V. & Anastasio, M. A., Mar 5 2026, Photons Plus Ultrasound: Imaging and Sensing 2026. Oraevsky, A. A. & Wang, L. V. (eds.). SPIE, 138510J. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 13851).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Link opens in a new tab Scopus citations -
Application of a virtual imaging framework for investigating a deep learning-based reconstruction method for 3D quantitative photoacoustic computed tomography
Cam, R. M., Park, S., Villa, U. & Anastasio, M. A., Apr 2026, In: Photoacoustics. 48, 100792.Research output: Contribution to journal › Article › peer-review
Open Access3 Link opens in a new tab Scopus citations