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Simulated Diffusion Weighted Images Based on Model-Predicted Tumor Growth.

, , и . SASHIMI@MICCAI, том 12417 из Lecture Notes in Computer Science, стр. 32-40. Springer, (2020)

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Simulating magnetic resonance images based on a model of tumor growth incorporating microenvironment., , , , и . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, том 10577 из SPIE Proceedings, стр. 105771D. SPIE, (2018)A Deep Convolutional Neural Network for Annotation of Magnetic Resonance Imaging Sequence Type., , , , , , , , и . J. Digit. Imaging, 33 (2): 439-446 (2020)Simulated Diffusion Weighted Images Based on Model-Predicted Tumor Growth., , и . SASHIMI@MICCAI, том 12417 из Lecture Notes in Computer Science, стр. 32-40. Springer, (2020)Sex Differences in Predicting Fluid Intelligence of Adolescent Brain from T1-Weighted MRIs., , , , , , и . ABCD-NP@MICCAI, том 11791 из Lecture Notes in Computer Science, стр. 150-157. Springer, (2019)