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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

Cui, C., Yang, H., Wang, Y., Zhao, S., Asad, Z., Coburn, L. A., Wilson, K. T., Landman, B. A., & Huo, Y. (2023). Deep multimodal fusion of image and non-image data in disease diagnosis and prognosis: a review. Progress in Biomedical Engineering, 5(2), 22001. Read More

Jain, S., Pei, L., Spraggins, J. M., Angelo, M., Carson, J. P., Gehlenborg, N., Ginty, F., Gonçalves, J. P., Hagood, J. S., Hickey, J. W., Kelleher, N. L., Laurent, L. C., Lin, S., Lin, Y., Liu, H., Naba, A., Nakayasu, E. S., Qian, W.-J., Radtke, A., Robson, P., Stockwell,… Read More

Kolouri, S., Naderializadeh, N., Rohde, G. K., & Hoffmann, H. (2021). WASSERSTEIN EMBEDDING FOR GRAPH LEARNING. ICLR 2021 – 9th International Conference on Learning Representations, 34. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150286096&partnerID=40&md5=8b88e110167be2c5fd01da171324d3d6  We introduce a new method called Wasserstein Embedding for Graph Learning (WEGL), which is a… Read More

Russell, R. G., Lovett Novak, L., Patel, M., Garvey, K. V., Craig, K. J. T., Jackson, G. P., Moore, D., & Miller, B. M. (2023). Competencies for the use of artificial intelligence-based tools by health care professionals. Academic Medicine, 98(3), 348-356. doi: 10.1097/ACM.0000000000004963… 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

D’Souza, S., Seshadri, V., Toms, J., D’Haese, P., Dawant, B. M., Li, R., Shah, H. P., Koch, P., Larson, P., & Holloway, K. L. (2024). Precision targeting in the globus pallidus interna: insights from the multicenter, prospective, blinded VA/NINDS CSP 468 study. Journal of Neurosurgery, 141(6),… Read More

Levy, E., & Landman, B. (2024). ChatGP-Me?. Journal of Medical Imaging, 11(5), 050101. doi: 10.1117/1.JMI.11.5.050101  The editorial evaluates how the GenAI technologies available in 2024 (without specific coding) could impact scientific processes, exploring two AI tools with the aim of demonstrating what… Read More

Collins, Benjamin X.; Belisle-Pipon, Jean-Christophe; Evans, Barbara J.; Ferryman, Kadija; Jiang, Xiaoqian; Nebeker, Camille; Novak, Laurie; Roberts, Kirk; Were, Martin; Yin, Zhijun; Ravitsky, Vardit; Coco, Joseph; Hendricks-Sturrup, Rachele; Williams, Ishan; Clayton, Ellen W.; Malin, Bradley A. “Addressing ethical issues in healthcare artificial intelligence using a lifecycle-informed process”… Read More