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A Deep Convolutional Neural Network for Annotation of Magnetic Resonance Imaging Sequence Type.

, , , , , , , , and . J. Digit. Imaging, 33 (2): 439-446 (2020)

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Simulating magnetic resonance images based on a model of tumor growth incorporating microenvironment., , , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 10577 of SPIE Proceedings, page 105771D. SPIE, (2018)A Deep Convolutional Neural Network for Annotation of Magnetic Resonance Imaging Sequence Type., , , , , , , , and . J. Digit. Imaging, 33 (2): 439-446 (2020)Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm., , , , , , , , , and 15 other author(s). CoRR, (2024)Simulated Diffusion Weighted Images Based on Model-Predicted Tumor Growth., , and . SASHIMI@MICCAI, volume 12417 of Lecture Notes in Computer Science, page 32-40. Springer, (2020)Sex Differences in Predicting Fluid Intelligence of Adolescent Brain from T1-Weighted MRIs., , , , , , and . ABCD-NP@MICCAI, volume 11791 of Lecture Notes in Computer Science, page 150-157. Springer, (2019)Exploring approaches for predictive cancer patient digital twins: Opportunities for collaboration and innovation., , , , , , , , , and 23 other author(s). Frontiers Digit. Health, (2022)