Deep learning LI-RADS grading system based on contrast enhanced multiphase MRI for differentiation between LR-3 and LR-4/LR-5 liver tumors von Wu, Yunan, White, Gregory M, Cornelius, Tyler, Gowdar, Indraneel, Ansari, Mohammad H, Supanich, Mark P, Deng, Jie

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Fetal Gestational Age Prediction in Brain Magnetic Resonance Imaging Using Artificial Intelligence: A Comparative Study of Three Biometric Techniques von Vahedifard, Farzan, Liu, Xuchu, Marathu, Kranthi K., Ai, H. Asher, Supanich, Mark P., Kocak, Mehmet, Adler, Seth, Ansari, Shehbaz M., Akyuz, Melih, Adepoju, Jubril O., Byrd, Sharon

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Automatic Ventriculomegaly Detection in Fetal Brain MRI: A Step-by-Step Deep Learning Model for Novel 2D-3D Linear Measurements von Vahedifard, Farzan, Ai, H Asher, Supanich, Mark P, Marathu, Kranthi K, Liu, Xuchu, Kocak, Mehmet, Ansari, Shehbaz M, Akyuz, Melih, Adepoju, Jubril O, Adler, Seth, Byrd, Sharon

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Pulmonary nodules with ground-glass opacity can be reliably measured with low-dose techniques regardless of iterative reconstruction: results of a phantom study von Siegelman, Jenifer W, Supanich, Mark P, Gavrielides, Marios A

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“Leaping” Toward the Bottom von McKenney, Sarah E., Supanich, Mark P.

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Detection of pulmonary embolism during pregnancy: comparing radiation doses of CTPA and pulmonary scintigraphy von Astani, Seyed A, Davis, Leah C, Harkness, Beth A, Supanich, Mark P, Dalal, Ishani

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AAPM medical physics practice guideline 6.a.: Performance characteristics of radiation dose index monitoring systems von Gress, Dustin A., Dickinson, Renee L., Erwin, William D., Jordan, David W., Kobistek, Robert J., Stevens, Donna M., Supanich, Mark P., Wang, Jia, Fairobent, Lynne A.

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Quantitative assessment of nonsolid pulmonary nodule volume with computed tomography in a phantom study von Gavrielides, Marios A, Berman, Benjamin P, Supanich, Mark, Schultz, Kurt, Li, Qin, Petrick, Nicholas, Zeng, Rongping, Siegelman, Jenifer

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