5 citations · 16 across the 10 of their papers we have counts for
11 papers
MRI Super-Resolution with Deep Learning: A Comprehensive Survey
Mohammad Khateri, Serge Vasylechko, Morteza Ghahremani +9
High-resolution (HR) magnetic resonance imaging (MRI) is crucial for many clinical and research applications. However, achieving it remains costly and constrained by technical trad…
Radial spoke energy for self-navigated motion detection and position-ordered dynamic musculoskeletal MRI
Enping Lin, Fatih Calakli, Musa Tunç Arslan +2
Motion remains a key challenge in MRI, as both involuntary (e.g., head motion) and voluntary (e.g., joint motion) movement can degrade image quality or provide opportunities for dy…
An MRI Atlas of the Human Fetal Brain: Reference and Segmentation Tools for Fetal Brain MRI Analysis
Mahdi Bagheri, Clemente Velasco-Annis, Jian Wang +10
Characterizing in-utero brain development is essential for understanding typical and atypical neurodevelopment. Building on prior spatiotemporal fetal brain MRI atlases, we present…
FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI
Bo Li, Qi Zeng, Simon K. Warfield +1
Diffusion MRI (dMRI) provides unique insights into fetal brain microstructure in utero. Longitudinal and cross-sectional fetal dMRI studies can reveal crucial neurodevelopmental ch…
Rapid, High-resolution and Distortion-free Mapping of Fetal Brain using Multi-echo Radial FLASH and Model-based Reconstruction
Xiaoqing Wang, Hongli Fan, Zhengguo Tan +7
Purpose: To develop a rapid, high-resolution and distortion-free technique for simultaneous water-fat separation, and mapping of the fetal brain at 3T. Methods:…
Detailed delineation of the fetal brain in diffusion MRI via multi-task learning
Davood Karimi, Camilo Calixto, Haykel Snoussi +6
Diffusion-weighted MRI is increasingly used to study the normal and abnormal development of fetal brain in-utero. Recent studies have shown that dMRI can offer invaluable insights…
Streamline tractography of the fetal brain in utero with machine learning
Weide Liu, Camilo Calixto, Simon K. Warfield +1
Diffusion-weighted magnetic resonance imaging (dMRI) is the only non-invasive tool for studying white matter tracts and structural connectivity of the brain. These assessments rely…
White matter tract crossing and bottleneck regions in the fetal brain
Camilo Calixto, Matheus D. Soldatelli, Bo Li +4
There is a growing interest in using diffusion MRI to study the white matter tracts and structural connectivity of the fetal brain. Recent progress in data acquisition and processi…
A self-attention model for robust rigid slice-to-volume registration of functional MRI
Samah Khawaled, Simon K. Warfield, Moti Freiman
Functional Magnetic Resonance Imaging (fMRI) is vital in neuroscience, enabling investigations into brain disorders, treatment monitoring, and brain function mapping. However, head…
Diffusion MRI with Machine Learning
Davood Karimi, Simon K. Warfield
\hspace{2mm} Diffusion-weighted magnetic resonance imaging (dMRI) of the brain offers unique capabilities including noninvasive probing of tissue microstructure and structural conn…
IVIM-Morph: Motion-compensated quantitative Intra-voxel Incoherent Motion (IVIM) analysis for functional fetal lung maturity assessment from diffusion-weighted MRI data
Noga Kertes, Yael Zaffrani-Reznikov, Onur Afacan +3
Quantitative analysis of pseudo-diffusion in diffusion-weighted magnetic resonance imaging (DWI) data shows potential for assessing fetal lung maturation and generating valuable im…