What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Magnetic resonance imaging
- Artificial intelligence
His primary areas of study are Magnetic resonance imaging, White matter, Pediatrics, Surgery and Gestational age.
His studies in Magnetic resonance imaging integrate themes in fields like Basal ganglia, Voxel, Central nervous system disease and Nuclear medicine.
His White matter study integrates concerns from other disciplines, such as Diffusion MRI and Pathology.
His Pediatrics research incorporates elements of Hyperintensity, Brain damage and Cohort study.
In his study, which falls under the umbrella issue of Surgery, Central nervous system is strongly linked to Periventricular leukomalacia.
His research in Gestational age intersects with topics in Cerebral cortex, Magnetic resonance imaging of the brain and Physiology.
His most cited work include:
- Local restoration of dystrophin expression with the morpholino oligomer AVI-4658 in Duchenne muscular dystrophy: a single-blind, placebo-controlled, dose-escalation, proof-of-concept study (569 citations)
- Origin and timing of brain lesions in term infants with neonatal encephalopathy (479 citations)
- Natural history of brain lesions in extremely preterm infants studied with serial magnetic resonance imaging from birth and neurodevelopmental assessment. (372 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Magnetic resonance imaging, Artificial intelligence, White matter, Pediatrics and Fetus.
The study incorporates disciplines such as Surgery, Gestational age and Pathology in addition to Magnetic resonance imaging.
His Gestational age research incorporates themes from Internal medicine, Gestation and Cardiology.
His Artificial intelligence research includes themes of Computer vision and Pattern recognition.
His biological study spans a wide range of topics, including Corpus callosum and Nuclear medicine.
The various areas that Mary A. Rutherford examines in his Pediatrics study include Encephalopathy, Neonatal encephalopathy and Grey matter.
He most often published in these fields:
- Magnetic resonance imaging (39.86%)
- Artificial intelligence (17.31%)
- White matter (17.77%)
What were the highlights of his more recent work (between 2018-2021)?
- Magnetic resonance imaging (39.86%)
- Fetus (16.40%)
- Gestational age (15.49%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Magnetic resonance imaging, Fetus, Gestational age, Diffusion MRI and Placenta.
His Magnetic resonance imaging research integrates issues from Pathology, Internal medicine, Heart disease, Cardiology and Neurocognitive.
The Gestational age study combines topics in areas such as Gestation, Pediatrics, Oxygenation, Toddler and Cohort.
His research integrates issues of Bayley Scales of Infant Development and Cognition in his study of Pediatrics.
His Diffusion MRI study combines topics from a wide range of disciplines, such as White matter, Neuroscience, Human Connectome Project and Mri techniques.
His study looks at the relationship between White matter and fields such as Brain development, as well as how they intersect with chemical problems.
Between 2018 and 2021, his most popular works were:
- Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project. (49 citations)
- Three-dimensional visualisation of the fetal heart using prenatal MRI with motion-corrected slice-volume registration: a prospective, single-centre cohort study. (29 citations)
- Combined Diffusion-Relaxometry MRI to Identify Dysfunction in the Human Placenta (29 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Magnetic resonance imaging
- Artificial intelligence
His main research concerns Magnetic resonance imaging, Gestational age, Diffusion MRI, Fetus and Biomedical engineering.
Mary A. Rutherford works on Magnetic resonance imaging which deals in particular with Fractional anisotropy.
His Gestational age study incorporates themes from Gestation, Cohort study and Cohort.
His work in the fields of Tractography and Intravoxel incoherent motion overlaps with other areas such as Set and Time efficient.
His studies deal with areas such as Image based, Prospective cohort study and Ultrasound as well as Fetus.
His Neuroscience research focuses on Artificial intelligence and how it connects with White matter.
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