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Paper: 3D intracranial artery segmentation using a convolutional autoencoder

IEEE BIBM 2017, First author

Paper: Quantification of morphometry and intensity features of intracranial arteries from 3D TOF MRA using the intracranial artery feature extraction (iCafe)...

Magnetic Resonance Imaging (IF: 2.564), First author

Paper: Quantitative assessment of the intracranial vasculature in an older adult population using iCafe

Neurobiology of Aging (IF:4.454), First author

Paper: Simultaneous Intracranial Artery Tracing and Segmentation from Magnetic Resonance Angiography by Joint Optimization from Multiplanar Reformation

MICCAI workshop 2019, First author

Detection frameworks

Detection frameworks. Images and contents from original papers

Paper: Fully automated and Robust Analysis Technique for Popliteal Artery Vessel Wall Evaluation (FRAPPE) using Neural Network Models from Standardized Knee MRI

Magnetic Resonance in Medicine (IF: 3.924), First author

Paper: A novel algorithm for refining cerebral vascular measurements in infants and adults

Journal of Neuroscience Methods, (IF: 2.785), First author

Paper: Automated Intracranial Artery Labeling using a Graph Neural Network and Hierarchical Refinement

MICCAI 2020

Paper: Domain adaptive and fully automated carotid artery atherosclerotic lesion detection using an artificial intelligence approach ( LATTE ) on 3D MRI

Magnetic Resonance in Medicine, (IF: 3.635), First author.

Paper: Quantitative Assessment of the Intracranial Vasculature of Infants and Adults using iCafe (intraCranial Artery Feature Extraction).

Frontiers in Neurology, (IF: 2.889), First author

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