What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Neuroscience
- Magnetic resonance imaging
Positron emission tomography, Nuclear medicine, Iterative reconstruction, Neuroscience and Brain mapping are his primary areas of study.
Patrick Dupont integrates many fields, such as Positron emission tomography and Positron, in his works.
His Nuclear medicine research incorporates elements of Magnetic resonance imaging, Radiology, Survival analysis and Lung cancer.
His Iterative reconstruction study combines topics from a wide range of disciplines, such as Imaging phantom, Tomography, Single-photon emission computed tomography and Algorithm.
His Neuroscience study typically links adjacent topics like Negative emotion.
His Brain mapping study integrates concerns from other disciplines, such as Control, Macaque, Midcingulate cortex, Functional imaging and Pathophysiology.
His most cited work include:
- Utility of Positron Emission Tomography for the Staging of Patients With Potentially Operable Esophageal Carcinoma (483 citations)
- 18FDG-Positron emission tomography for the early prediction of response in advanced soft tissue sarcoma treated with imatinib mesylate (Glivec). (474 citations)
- Long-term electrical capsular stimulation in patients with obsessive-compulsive disorder. (431 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Neuroscience, Internal medicine, Artificial intelligence, Nuclear medicine and Positron emission tomography.
His study in Neuroscience concentrates on Parietal lobe, Human brain, Posterior parietal cortex, Brain mapping and Prefrontal cortex.
In his research on the topic of Internal medicine, Stroke is strongly related with Cardiology.
His study looks at the intersection of Artificial intelligence and topics like Pattern recognition with Ictal.
His study focuses on the intersection of Nuclear medicine and fields such as Tomography with connections in the field of Iterative reconstruction.
He has included themes like Algorithm and Attenuation in his Iterative reconstruction study.
He most often published in these fields:
- Neuroscience (18.68%)
- Internal medicine (17.49%)
- Artificial intelligence (16.55%)
What were the highlights of his more recent work (between 2017-2021)?
- Internal medicine (17.49%)
- Neuroimaging (6.38%)
- Artificial intelligence (16.55%)
In recent papers he was focusing on the following fields of study:
His main research concerns Internal medicine, Neuroimaging, Artificial intelligence, Magnetic resonance imaging and Pattern recognition.
The concepts of his Internal medicine study are interwoven with issues in Gastroenterology, Endocrinology and Cardiology.
His Neuroimaging study is related to the wider topic of Neuroscience.
His Magnetic resonance imaging research is multidisciplinary, incorporating perspectives in Cerebrospinal fluid, Pathogenesis, Neuroimmunology, Microglia and Nuclear medicine.
In his research, Fluid-attenuated inversion recovery is intimately related to Ischemic stroke, which falls under the overarching field of Nuclear medicine.
His Pattern recognition research also works with subjects such as
- Electroencephalography that intertwine with fields like Epilepsy and Spectrogram,
- Brain parcellation that intertwine with fields like Healthy control, Mr images and Synthetic cohort.
Between 2017 and 2021, his most popular works were:
- Generalizable representations of pain, cognitive control, and negative emotion in medial frontal cortex (103 citations)
- Alberta Stroke Program Early CT Score Versus Computed Tomographic Perfusion to Predict Functional Outcome After Successful Reperfusion in Acute Ischemic Stroke. (21 citations)
- Understanding Neurogastroenterology From Neuroimaging Perspective: A Comprehensive Review of Functional and Structural Brain Imaging in Functional Gastrointestinal Disorders. (21 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Neuroscience
- Magnetic resonance imaging
Patrick Dupont mostly deals with Internal medicine, Magnetic resonance imaging, Neuroimaging, Lesion and Cardiac imaging.
His Internal medicine research incorporates themes from Resting state fMRI, Endocrinology and Cardiology.
His Neuroimaging research includes themes of Fluorodeoxyglucose, Functional imaging, Default mode network and Frontotemporal dementia.
The study incorporates disciplines such as Radiology, PET-CT, Lung and Mycobacterium tuberculosis in addition to Lesion.
His Lung study incorporates themes from Tomography and Nuclear medicine.
His biological study focuses on Single-photon emission computed tomography.
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