Imaging Methods

Convolutional neural networks for the detection and measurement of cerebral aneurysms on magnetic resonance angiography (Cancers, 2019)

Optimizing neuro-oncology imaging: a review of deep learning approaches for glioma imaging (Cancers, 2019)

A Simple Automated Method for Detecting Recurrence in High-Grade Glioma (American Journal of Neuroradiology, 2019)

Hybrid 3D/2D Convolutional Neural Network for HemorrhageEvaluation on Head CT (American Journal of Neuroradiology, 2018)

A Multiparametric Model for Mapping Cellularity in Glioblastoma Using Radiographically Localized Biopsies (American Journal of Neuroradiology, 2018)

Imaging Genetic Heterogeneity in Glioblastoma and Other Glial Tumors: Review of Current Methods and Future Directions (American Journal of Roentgenology, 2018)

Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas (American Journal of Neuroradiology, 2018)

Evaluation of neonatal brain myelination using the T1‐and T2‐weighted MRI ratio (Journal of Magnetic Resonance Imaging, 2017)

BOLD Neurovascular Coupling Does Not Change Significantly with Normal Aging (Human Brain Mapping, 2017)

Brain Atrophy Can Introduce Age-Related Differences in BOLD Response (Human Brain Mapping, 2017)

Glioblastoma induces vascular dysregulation in non-enhancing peritumoral regions in humans (American Journal of Roentgenology, 2016)

Effects of heartbeat and respiration on macaque fMRI: Implications for functional connectivity (Neuropsychologia, 2010)

Detection of time-varying signals in event-related fMRI designs (Neuroimage, 2008)