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MRI tumor segmentation with densely connected 3D CNN.

, , , , , and . Medical Imaging: Image Processing, volume 10574 of SPIE Proceedings, page 105741F. SPIE, (2018)

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Classification of micro-CT images using 3D characterization of bone canal patterns in human osteogenesis imperfecta., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 1013413. SPIE, (2017)Investigation of large-scale extended Granger causality (lsXGC) on synthetic functional MRI data., , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 12036 of SPIE Proceedings, SPIE, (2022)Classification of autism spectrum disorder from resting-state fMRI with mutual connectivity analysis., , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10953 of SPIE Proceedings, page 109531D. SPIE, (2019)Investigating a quantitative radiomics approach for brain tumor classification., , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10953 of SPIE Proceedings, page 109530B. SPIE, (2019)Exploring directed network connectivity in complex systems using large-scale augmented Granger causality (lsAGC)., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Regional autonomy changes in resting-state functional MRI in patients with HIV associated neurocognitive disorder., , , and . Medical Imaging: Image Processing, volume 10574 of SPIE Proceedings, page 105740Y. SPIE, (2018)Mutual Connectivity Analysis (MCA) for Nonlinear Functional Connectivity Network Recovery in the Human Brain Using Convergent Cross-Mapping and Non-metric Clustering., , , and . WSOM, volume 428 of Advances in Intelligent Systems and Computing, page 217-226. Springer, (2016)Using large-scale Granger causality to study changes in brain network properties in the Clinically Isolated Syndrome (CIS) stage of multiple sclerosis., , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10137 of SPIE Proceedings, page 101371B. SPIE, (2017)Investigating large-scale Granger causality analysis in presence of noise and varying sampling rate., , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10578 of SPIE Proceedings, page 105780C. SPIE, (2018)Inferring functional relations from synthetic fMRI data using large-scale Nonlinear Granger Causality (lsNGC)., , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 12036 of SPIE Proceedings, SPIE, (2022)