Displaying 1 - 4 of 4CSV
Wong, T. T., Igbinoba, Z., Tokaria, R., Quarterman, P., Fung, M., Jaramillo, D., & Jambawalikar, S. R. (2023). UTE T2* cartilage mapping in the hip: a pilot study assessing cartilage in patients with femoroacetabular impingement. Acta Radiologica, 65(4), 350–358. https://doi.org/10.1177/02841851231218252
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Thakoor, K. A., Yao, J., Bordbar, D., Moussa, O., Lin, W., Sajda, P., & Chen, R. W. S. (2022). A multimodal deep learning system to distinguish late stages of AMD and to compare expert vs. AI ocular biomarkers. Scientific Reports, 12(1). https://doi.org/10.1038/s41598-022-06273-w
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Wong, T. T., Quarterman, P., Lynch, T. S., Rasiej, M. J., Jaramillo, D., & Jambawalikar, S. R. (2021). Feasibility of ultrashort echo time (UTE) T2* cartilage mapping in the hip: a pilot study. Acta Radiologica, 63(6), 760–766. https://doi.org/10.1177/02841851211011563
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Liu, M. Z., Swintelski, C., Sun, S., Siddique, M., Desperito, E., Jambawalikar, S., & Ha, R. (2022). Weakly Supervised Deep Learning Approach to Breast MRI Assessment. Academic Radiology, 29, S166–S172. https://doi.org/10.1016/j.acra.2021.03.032
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