What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Cancer
- Positron emission tomography
The scientist’s investigation covers issues in Positron emission tomography, Nuclear medicine, Radiology, Standardized uptake value and Pathology.
His Positron emission tomography study integrates concerns from other disciplines, such as Tomography, Magnetic resonance imaging and Medical physics.
His research in Nuclear medicine is mostly concerned with Imaging phantom.
His Radiology research integrates issues from Neoadjuvant therapy and Tumour volume.
The various areas that Ronald Boellaard examines in his Standardized uptake value study include Fluorodeoxyglucose and Partial volume.
He works mostly in the field of Pathology, limiting it down to concerns involving Internal medicine and, occasionally, Oncology.
His most cited work include:
- FDG PET/CT: EANM procedure guidelines for tumour imaging: version 2.0 (1104 citations)
- FDG PET and PET/CT: EANM procedure guidelines for tumour PET imaging: version 1.0 (975 citations)
- Standards for PET Image Acquisition and Quantitative Data Analysis (589 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Nuclear medicine, Positron emission tomography, Internal medicine, PET-CT and Radiology.
His study in Nuclear medicine is interdisciplinary in nature, drawing from both Repeatability and Lung cancer.
His Positron emission tomography study combines topics in areas such as Pathology, Magnetic resonance imaging, Medical physics, Reproducibility and Tomography.
His work in the fields of Disease overlaps with other areas such as In patient.
Ronald Boellaard studies Radiology, namely Radiation therapy.
His work deals with themes such as Image quality and Iterative reconstruction, Computer vision, Artificial intelligence, which intersect with Imaging phantom.
He most often published in these fields:
- Nuclear medicine (47.39%)
- Positron emission tomography (34.95%)
- Internal medicine (16.17%)
What were the highlights of his more recent work (between 2017-2021)?
- Nuclear medicine (47.39%)
- Positron emission tomography (34.95%)
- PET-CT (14.80%)
In recent papers he was focusing on the following fields of study:
His main research concerns Nuclear medicine, Positron emission tomography, PET-CT, Internal medicine and Repeatability.
The study incorporates disciplines such as Iterative reconstruction and Reproducibility in addition to Nuclear medicine.
His biological study deals with issues like Artificial intelligence, which deal with fields such as Computer vision.
In his study, Stage is inextricably linked to Oncology, which falls within the broad field of Internal medicine.
In his research, Image noise and Medical physics is intimately related to Image quality, which falls under the overarching field of Imaging phantom.
In his research on the topic of Feature, Radiology is strongly related with Data-driven.
Between 2017 and 2021, his most popular works were:
- The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping (376 citations)
- 89Zr-atezolizumab imaging as a non-invasive approach to assess clinical response to PD-L1 blockade in cancer. (172 citations)
- Performance Characteristics of the Digital Biograph Vision PET/CT System (123 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Cancer
- Positron emission tomography
Nuclear medicine, Positron emission tomography, PET-CT, Imaging phantom and Internal medicine are his primary areas of study.
The concepts of his Nuclear medicine study are interwoven with issues in Lesion, Cardiac imaging and Repeatability.
His research integrates issues of Medical physics, Glioma and Pathology in his study of Positron emission tomography.
His PET-CT study is concerned with Radiology in general.
His studies deal with areas such as Iterative reconstruction, Feature, Artificial intelligence, Scanner and Reproducibility as well as Imaging phantom.
His study explores the link between Internal medicine and topics such as Oncology that cross with problems in Stage and Retrospective cohort study.
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