A5065838160- Advanced Neuroimaging Techniques and Applications
- Medical Image Segmentation Techniques
- Functional Brain Connectivity Studies
- Neonatal and fetal brain pathology
- Fetal and Pediatric Neurological Disorders
- Advanced MRI Techniques and Applications
- Morphological variations and asymmetry
- Autism Spectrum Disorder Research
- Dental Radiography and Imaging
- 3D Shape Modeling and Analysis
- Stress Responses and Cortisol
- Birth, Development, and Health
- Infant Development and Preterm Care
- Image Retrieval and Classification Techniques
- Maternal Mental Health During Pregnancy and Postpartum
- Genetics and Neurodevelopmental Disorders
- Medical Imaging and Analysis
- Neuroendocrine regulation and behavior
- Temporomandibular Joint Disorders
- Orthodontics and Dentofacial Orthopedics
- Parkinson's Disease Mechanisms and Treatments
- Medical Imaging Techniques and Applications
- Neurological disorders and treatments
- Osteoarthritis Treatment and Mechanisms
- Tryptophan and brain disorders
University of North Carolina at Chapel Hill
2016-2025
University of North Carolina Health Care
2001-2024
McLean Hospital
2023
University of Minnesota
2023
Mallinckrodt (United States)
2012-2022
University of North Carolina System
2015-2022
University of California, Davis
2022
University of California System
2022
McGill University
2012-2021
University of Alberta
2012-2021
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> This paper presents a comparison study between 10 automatic and six interactive methods for liver segmentation from contrast-enhanced CT images. It is based on results the "MICCAI 2007 Grand Challenge" workshop, where 16 teams evaluated their algorithms common database. A collection of 20 clinical images with reference segmentations was provided to train tune in advance. Participants were also...
Children who developed autism spectrum disorders (ASDs) by age 2 had greater development of cerebral white matter fiber tracts 6 months than unaffected children. After the initial accelerated development, children ASDs slower so that their was less in
This paper presents a new approach to the correction of intensity inhomogeneities in magnetic resonance imaging (MRI) that significantly improves intensity-based tissue segmentation. The distortion image brightness values by low-frequency bias field impedes visual inspection and method called parametric (PABIC) is based on simplified model process, class statistics, polynomial inhomogeneity field. We assume composed pixels assigned small number categories with priori known statistics....
<h3>Context</h3> Brain enlargement has been observed in 2-year-old children with autism, but the underlying mechanisms are unknown. <h3>Objective</h3> To investigate early growth trajectories brain volume and cortical thickness. <h3>Design</h3> Longitudinal magnetic resonance imaging study. <h3>Setting</h3> Academic medical centers. <h3>Participants</h3> Fifty-nine autism spectrum disorder (ASD) 38 control children. <h3>Intervention</h3> Children were examined at approximately 2 years of...
Very little is known about cortical development in the first years of life, a time rapid cognitive and risk for neurodevelopmental disorders. We studied regional subcortical gray matter volume growth group 72 children who underwent magnetic resonance scanning after birth at ages 1 2 using novel longitudinal registration/parcellation approach. Overall, volumes increased substantially (106%) year life less so second (18%). found marked differences developmental rates, with primary motor...
Functional brain imaging of 6-month-old infants with a high familial risk for autism predicts diagnosis at 24 months age.
Objective-The authors sought to determine whether specific patterns of oculomotor functioning and visual orienting characterize 7-month-old infants who later meet criteria for an autism spectrum disorder (ASD) identify the neural correlates these behaviors.Method-Data were collected from 97 infants, whom 16 high-familial-risk classified as having ASD, 40 did not ASD (high-risk negative), 41 low-risk infants.All underwent eye-tracking task at a mean age 7 months clinical assessment 25...
In the last decade, diffusion MRI (dMRI) studies of human and animal brain have been used to investigate a multitude pathologies drug-related effects in neuroscience research. Study after study identifies white matter (WM) degeneration as crucial biomarker for all these diseases. The tool choice studying WM is dMRI. However, dMRI has inherently low signal-to-noise ratio its acquisition requires relatively long scan time; fact, high loads required occasionally stress scanner hardware past...
We present a study of multiple sclerosis segmentation algorithms conducted at the international MICCAI 2016 challenge. This challenge was operated using new open-science computing infrastructure. allowed for automatic and independent evaluation large range in fair completely manner. infrastructure used to evaluate thirteen methods MS lesions segmentation, exploring broad state-of-theart algorithms, against high-quality database 53 cases coming from four centers following common definition...
Numerous brain imaging studies indicate that the corpus callosum is smaller in older children and adults with autism spectrum disorder. However, there are no published examining morphological development of this connective pathway infants at-risk for Magnetic resonance data were collected from 270 at high familial risk disorder 108 low-risk controls 6, 12 24 months age, 83% contributing two or more points. Fifty-seven met criteria ASD based on clinical-best estimate diagnosis age 2 years....