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Demonstration of Brain Tumor-Induced Neurovascular Uncoupling in Resting-State fMRI at Ultrahigh Field.

, , , , , , , , , and . Brain Connectivity, 6 (4): 267-272 (2016)

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Defining Patient Specific Functional Parcellations in Lesional Cohorts via Markov Random Fields., , , , , , , and . CNI@MICCAI, volume 11083 of Lecture Notes in Computer Science, page 88-98. Springer, (2018)Reporting of Resting-State Functional Magnetic Resonance Imaging Preprocessing Methodologies., , , , , , , , , and . Brain Connectivity, 6 (9): 663-668 (2016)Mapping the effects of ApoE4, age and cognitive status on 18F-florbetapir PET measured regional cortical patterns of beta-amyloid density and growth., , , , , , , , and . NeuroImage, (2013)Dynamic Functional Connectivity States Between the Dorsal and Ventral Sensorimotor Networks Revealed by Dynamic Conditional Correlation Analysis of Resting-State Functional Magnetic Resonance Imaging., , , , , , , and . Brain Connectivity, 7 (10): 635-642 (2017)Demonstration of Brain Tumor-Induced Neurovascular Uncoupling in Resting-State fMRI at Ultrahigh Field., , , , , , , , , and . Brain Connectivity, 6 (4): 267-272 (2016)Estimating a graphical intra-class correlation coefficient (GICC) using multivariate probit-linear mixed models., , , , and . Computational Statistics & Data Analysis, (2015)A machine learning based approach for identifying traumatic brain injury patients for whom a head CT scan can be avoided., , , , , , and . EMBC, page 2258-2261. IEEE, (2016)Deep-Learning-Based Semantic Labeling for 2D Mammography and Comparison of Complexity for Machine Learning Tasks., , , , , , , and . J. Digital Imaging, 32 (4): 565-570 (2019)Functional Magnetic Resonance Imaging Activation Optimization in the Setting of Brain Tumor-Induced Neurovascular Uncoupling Using Resting-State Blood Oxygen Level-Dependent Amplitude of Low Frequency Fluctuations., , , , , and . Brain Connectivity, 9 (3): 241-250 (2019)The Resting-State Functional Magnetic Resonance Imaging Regional Homogeneity Metrics - Kendall's Coefficient of Concordance-Regional Homogeneity and Coherence-Regional Homogeneity - Are Valid Indicators of Tumor-Related Neurovascular Uncoupling., , and . Brain Connectivity, 7 (4): 228-235 (2017)