What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Magnetic resonance imaging
- Artificial intelligence
The scientist’s investigation covers issues in Magnetic resonance imaging, Cardiology, Internal medicine, Blood flow and Radiology.
His Magnetic resonance imaging research integrates issues from Thalassemia, Ventricle, Nuclear medicine, Stenosis and Coronary circulation.
In his study, Superior vena cava is inextricably linked to Diastole, which falls within the broad field of Cardiology.
The various areas that David N. Firmin examines in his Blood flow study include Flow, Flow velocity, Anatomy, Hemodynamics and Biomedical engineering.
His Flow study combines topics from a wide range of disciplines, such as Volumetric flow rate, Signal, Flow measurement and Nuclear magnetic resonance.
His Radiology study integrates concerns from other disciplines, such as Acoustics, Regurgitation, Vascular disease and Chest pain.
His most cited work include:
- Cardiovascular T2-star (T2*) magnetic resonance for the early diagnosis of myocardial iron overload (1243 citations)
- Abnormal Subendocardial Perfusion in Cardiac Syndrome X Detected by Cardiovascular Magnetic Resonance Imaging (654 citations)
- Blood flow imaging by cine magnetic resonance. (568 citations)
What are the main themes of his work throughout his whole career to date?
David N. Firmin mainly focuses on Magnetic resonance imaging, Internal medicine, Cardiology, Nuclear medicine and Radiology.
The concepts of his Magnetic resonance imaging study are interwoven with issues in Image quality, Blood flow, Artificial intelligence, Nuclear magnetic resonance and Biomedical engineering.
His study in Nuclear magnetic resonance is interdisciplinary in nature, drawing from both Diffusion MRI and Signal.
His work on Dilated cardiomyopathy, Ejection fraction and Myocardial infarction as part of general Internal medicine study is frequently connected to In patient, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His Cardiology study often links to related topics such as Diastole.
His studies in Nuclear medicine integrate themes in fields like Ventricle, Spiral, Perfusion and Reproducibility.
He most often published in these fields:
- Magnetic resonance imaging (39.49%)
- Internal medicine (24.84%)
- Cardiology (24.42%)
What were the highlights of his more recent work (between 2014-2021)?
- Magnetic resonance imaging (39.49%)
- Diffusion MRI (10.83%)
- Artificial intelligence (15.71%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Magnetic resonance imaging, Diffusion MRI, Artificial intelligence, Segmentation and Nuclear magnetic resonance.
His Magnetic resonance imaging research is multidisciplinary, incorporating elements of Sudden cardiac arrest, Internal medicine, Myocardial infarction, Cardiology and Dilated cardiomyopathy.
The Cardiomyopathy, Artery, Coronary arteries and Blood flow research David N. Firmin does as part of his general Internal medicine study is frequently linked to other disciplines of science, such as In patient, therefore creating a link between diverse domains of science.
His study on Heart failure and Coronary artery disease is often connected to Population as part of broader study in Cardiology.
His work carried out in the field of Diffusion MRI brings together such families of science as Helix angle, Signal, Nuclear medicine and Diastole.
David N. Firmin has researched Artificial intelligence in several fields, including Computer vision and Pattern recognition.
Between 2014 and 2021, his most popular works were:
- DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction (355 citations)
- Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge (67 citations)
- Deep Learning for Diagnosis of Chronic Myocardial Infarction on Nonenhanced Cardiac Cine MRI (63 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Magnetic resonance imaging
- Artificial intelligence
David N. Firmin spends much of his time researching Magnetic resonance imaging, Diffusion MRI, Nuclear magnetic resonance, Artificial intelligence and Segmentation.
His work deals with themes such as Fibrosis and Nuclear medicine, which intersect with Magnetic resonance imaging.
The study incorporates disciplines such as Cardiac magnetic resonance and Diastole in addition to Diffusion MRI.
While the research belongs to areas of Artificial intelligence, he spends his time largely on the problem of Computer vision, intersecting his research to questions surrounding Free breathing.
As part of one scientific family, he deals mainly with the area of Segmentation, narrowing it down to issues related to the Atrial fibrillation, and often Scars, Ablation and Image segmentation.
His Radiology study combines topics in areas such as Retrospective cohort study and Chronic myocardial infarction, Myocardial infarction.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
