Medical Imaging

Brás, Carolina; Montenegro, Helena; Cai, Leon Y.; Corbetta, Valentina; Huo, Yuankai; Silva, Wilson; Cardoso, Jaime S.; Landman, Bennett A.; Išgum, Ivana. “Explainable AI for medical image analysis.” Trustworthy Ai in Medical Imaging, 2024, pp. 347-366, https://doi.org/10.1016/B978-0-44-323761-4.00028-6.  As AI-driven solutions are… Read More

Liu, Yihao; Chen, Junyu; Zuo, Lianrui; Carass, Aaron; Prince, Jerry L. “Vector field attention for deformable image registration.” Journal of Medical Imaging, vol. 11, no. 6, 2024, 64001, https://doi.org/10.1117/1.JMI.11.6.064001.  The purpose of this study is to improve the process of… Read More

Landman, Bennett. “Reflecting on a Year of Growth and Opportunity.” Journal of Medical Imaging, vol. 11, no. 6, 2024, 60101, https://doi.org/10.1117/1.JMI.11.6.060101.  The editorial reflects on the past year, highlighting impactful research and discussing challenges as the 11th volume of the… Read More

Maier-Hein, L., Reinke, A., Godau, P., et al. (2024). Metrics reloaded: recommendations for image analysis validation. Nature Methods, 21(2), 195-212. doi: 10.1038/s41592-023-02151-z    There is growing evidence that problems with validating machine learning (ML) algorithms are a global issue that’s often overlooked. Read More

Lin, J.-R., Wang, S., Coy, S., Chen, Y.-A., Yapp, C., Tyler, M., Nariya, M. K., Heiser, C. N., Lau, K. S., Santagata, S., & Sorger, P. K. (2023). Multiplexed 3D atlas of state transitions and immune interaction in colorectal cancer. Cell, 186(2), 363-381.e13. doi: 10.1016/j.cell.2022.12.028  … Read More

Li, J., Chen, J., Tang, Y., Wang, C., Landman, B. A., & Zhou, S. K. (2023). Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives. Medical Image Analysis, 85, 102762. doi: 10.1016/j.media.2023.102762   Transformer, a recent advancement in deep… Read More