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Image-Based Tissue Distribution Modeling for Skeletal Muscle Quality Characterization.

, , , , and . IEEE Trans. Biomed. Eng., 63 (4): 805-813 (2016)

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Deep conditional generative models for longitudinal single-slice abdominal computed tomography harmonization., , , , , , , , , and 1 other author(s). CoRR, (2023)Longitudinal variability analysis on low-dose abdominal CT with deep learning-based segmentation., , , , , , , , and . Medical Imaging: Image Processing, volume 12464 of SPIE Proceedings, SPIE, (2023)Accelerating 2D abdominal organ segmentation with active learning., , , , , , , and . Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)Quantification of muscle, bones, and fat on single slice thigh CT., , , , , , , , , and . Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)Image-Based Tissue Distribution Modeling for Skeletal Muscle Quality Characterization., , , , and . IEEE Trans. Biomed. Eng., 63 (4): 805-813 (2016)Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-Training., , , , , , , , , and 1 other author(s). CoRR, (2022)Longitudinal Variability Analysis on Low-dose Abdominal CT with Deep Learning-based Segmentation., , , , , , , , and . CoRR, (2022)Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models., , , , , , , , , and 1 other author(s). MICCAI (8), volume 13437 of Lecture Notes in Computer Science, page 202-212. Springer, (2022)