What is he best known for?
The fields of study he is best known for:
- Cancer
- Internal medicine
- Radiation therapy
The scientist’s investigation covers issues in Radiation therapy, Nuclear medicine, Lung cancer, Positron emission tomography and Internal medicine.
Philippe Lambin has researched Radiation therapy in several fields, including Cancer and Prospective cohort study, Pathology.
His Nuclear medicine study integrates concerns from other disciplines, such as Survival analysis, Primary tumor and Radiology.
His work is dedicated to discovering how Lung cancer, Stage are connected with Lung and other disciplines.
His research in Positron emission tomography intersects with topics in Tomography and Medical imaging.
His studies deal with areas such as Gastroenterology and Oncology as well as Internal medicine.
His most cited work include:
- Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach (2051 citations)
- Radiomics: extracting more information from medical images using advanced feature analysis. (1697 citations)
- Carbonic anhydrase inhibitors (1177 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Radiation therapy, Nuclear medicine, Internal medicine, Oncology and Radiology.
The various areas that Philippe Lambin examines in his Radiation therapy study include Stage, Lung cancer, Medical physics and Chemotherapy.
Specifically, his work in Lung cancer is concerned with the study of Non small cell.
His Nuclear medicine study incorporates themes from Radiation treatment planning, Carcinoma and Colorectal cancer.
Internal medicine is frequently linked to Pathology in his study.
His research in Radiology is mostly concerned with Radiomics.
He most often published in these fields:
- Radiation therapy (31.72%)
- Nuclear medicine (19.60%)
- Internal medicine (19.27%)
What were the highlights of his more recent work (between 2017-2021)?
- Radiation therapy (31.72%)
- Internal medicine (19.27%)
- Radiomics (5.40%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Radiation therapy, Internal medicine, Radiomics, Oncology and Radiology.
His study in Radiation therapy is interdisciplinary in nature, drawing from both Positron emission tomography, Lung cancer, Hypoxia and Immunotherapy.
His study explores the link between Hypoxia and topics such as Prodrug that cross with problems in Cancer research.
His Radiomics research is multidisciplinary, incorporating perspectives in Medical imaging, Medical physics, Lung, Predictive value and Receiver operating characteristic.
His study on Oncology also encompasses disciplines like
- Proportional hazards model which intersects with area such as Retrospective cohort study,
- Prostate cancer which connect with Nuclear medicine.
His studies in Radiology integrate themes in fields like Non small cell and Regression.
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)
- Targeting Hypoxia to Improve Non-Small Cell Lung Cancer Outcome. (95 citations)
- Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers (90 citations)
In his most recent research, the most cited papers focused on:
- Cancer
- Internal medicine
- Radiation therapy
His main research concerns Radiation therapy, Internal medicine, Oncology, Radiomics and Nuclear medicine.
His Radiation therapy research incorporates elements of Magnetic resonance imaging, Clinical trial and Therapeutic index.
Many of his research projects under Internal medicine are closely connected to Animation with Animation, tying the diverse disciplines of science together.
Philippe Lambin is involved in the study of Oncology that focuses on Lung cancer in particular.
The subject of his Radiomics research is within the realm of Radiology.
His Nuclear medicine research integrates issues from Histogram, Prostate, Prostate cancer and Receiver operating characteristic.
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