What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Radiology
- Surgery
Guy Marchal mainly focuses on Magnetic resonance imaging, Radiology, Nuclear medicine, Surgery and Artificial intelligence.
Guy Marchal interconnects Necrosis, Ejection fraction and Myocardial infarction, Cardiology in the investigation of issues within Magnetic resonance imaging.
His work on Ultrasound, Contrast medium and Tomography as part of general Radiology study is frequently linked to Neuroradiology, therefore connecting diverse disciplines of science.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Computer vision and Pattern recognition.
The various areas that Guy Marchal examines in his Image registration study include Segmentation, Information theory and Feature extraction.
The Information theory study which covers Entropy that intersects with Medical imaging.
His most cited work include:
- Multimodality image registration by maximization of mutual information (3987 citations)
- Automated multi-moda lity image registration based on information theory (705 citations)
- Local recurrence after hepatic radiofrequency coagulation: multivariate meta-analysis and review of contributing factors. (563 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Radiology, Magnetic resonance imaging, Pathology, Nuclear medicine and Artificial intelligence.
His work on Ultrasound, Angiography and Tomography x ray computed as part of general Radiology research is often related to Neuroradiology, thus linking different fields of science.
His Magnetic resonance imaging research is multidisciplinary, incorporating perspectives in Internal medicine, Myocardial infarction, Gadolinium and Nuclear magnetic resonance.
Necrosis and Microangiography are the core of his Pathology study.
His research in Nuclear medicine intersects with topics in Perfusion and Contrast.
In his research, Visualization is intimately related to Computer vision, which falls under the overarching field of Artificial intelligence.
He most often published in these fields:
- Radiology (37.81%)
- Magnetic resonance imaging (24.19%)
- Pathology (14.16%)
What were the highlights of his more recent work (between 2005-2020)?
- Radiology (37.81%)
- Pathology (14.16%)
- Magnetic resonance imaging (24.19%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Radiology, Pathology, Magnetic resonance imaging, Artificial intelligence and Digital mammography.
His biological study spans a wide range of topics, including Medical physics, Surgery, Nuclear medicine and Transjugular intrahepatic portosystemic shunt.
His Magnetic resonance imaging study also includes fields such as
- Ischemia which is related to area like Heart disease,
- Cardiac magnetic resonance imaging most often made with reference to Myocardial infarction.
His Artificial intelligence research incorporates elements of Computer vision and Pattern recognition.
His Computer vision study deals with Angiography intersecting with Visualization.
His work investigates the relationship between Mammography and topics such as Image processing that intersect with problems in Medical imaging.
Between 2005 and 2020, his most popular works were:
- Comparison between effective radiation dose of CBCT and MSCT scanners for dentomaxillofacial applications. (382 citations)
- Radiofrequency ablation versus resection for resectable colorectal liver metastases: time for a randomized trial? (178 citations)
- Radiofrequency ablation versus resection for resectable colorectal liver metastases: time for a randomized trial? An update. (144 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Surgery
- Radiology
Radiology, Magnetic resonance imaging, Nuclear medicine, Pathology and Radiofrequency ablation are his primary areas of study.
His work carried out in the field of Radiology brings together such families of science as Image processing, Digital mammography and Transjugular intrahepatic portosystemic shunt.
His Magnetic resonance imaging research integrates issues from Liver tumor, Cancer, Metastasis and Rhabdomyosarcoma.
His Nuclear medicine research is multidisciplinary, relying on both Effective diffusion coefficient, Tomography, Perfusion and Cone beam computed tomography.
The Pathology study combines topics in areas such as Evans Blue and In vivo.
Guy Marchal studied Radiofrequency ablation and Surgery that intersect with Gynecology and Infant newborn.
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