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Medicine

D-Index
131
Citations
82086
World Ranking
2358
National Ranking
89

Overview

Philippe Lambin is affiliated with Maastricht University in the Netherlands. Their research primarily spans the field of Medicine, with a notable focus on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Artificial Intelligence, Biomedical Engineering, and Oncology.

The scientist's work concentrates heavily on topics related to Radiomics and Machine Learning in Medical Imaging, covering a significant number of publications in this area. Other primary research topics include Medical Imaging Techniques and Applications, AI in cancer detection, Advanced X-ray and CT Imaging, Lung Cancer Diagnosis and Treatment, Artificial Intelligence in Healthcare and Education, and Cancer, Hypoxia, and Metabolism.

Philippe Lambin's recent papers illustrate the diversity and focus of their research interests. Notable publications include:

  • The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping, 2020, Radiology
  • Transparency of deep neural networks for medical image analysis: A review of interpretability methods, 2021, Computers in Biology and Medicine
  • Radiomics: from qualitative to quantitative imaging, 2020, British Journal of Radiology
  • A review in radiomics: Making personalized medicine a reality via routine imaging, 2021, Medicinal Research Reviews
  • Development of a clinical decision support system for severity risk prediction and triage of COVID-19 patients at hospital admission: an international multicentre study, 2020, European Respiratory Journal

The scientist has collaborated frequently with a number of co-authors, including:

  • Henry C. Woodruff
  • Ludwig J. Dubois
  • Ralph T. H. Leijenaar
  • Sergey Primakov
  • Abdalla Ibrahim

Lambin's research has been published in several key venues, often contributing multiple works to these outlets. Frequent publication venues include:

  • Radiotherapy and Oncology
  • Cancers
  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • PLoS ONE

Best Publications

  • Radiomics: extracting more information from medical images using advanced feature analysis.

    Philippe Lambin;Emmanuel Rios-Velazquez;Ralph Leijenaar;Sara Carvalho

  • Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

    Hugo J W L Aerts;Emmanuel Rios Velazquez;Ralph T H Leijenaar;Chintan Parmar

  • Radiomics: the bridge between medical imaging and personalized medicine

    Philippe Lambin;Ralph T H Leijenaar;Timo M Deist;Jurgen Peerlings

  • The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

    Alex Zwanenburg;Alex Zwanenburg;Martin Vallières;Mahmoud A. Abdalah;Hugo J. W. L. Aerts;Hugo J. W. L. Aerts

  • Imaging biomarker roadmap for cancer studies.

    James P.B. O'Connor;Eric O. Aboagye;Judith E. Adams;Hugo J.W.L. Aerts;Hugo J.W.L. Aerts

  • Machine Learning methods for Quantitative Radiomic Biomarkers

    Chintan Parmar;Chintan Parmar;Patrick Grossmann;Johan Bussink;Philippe Lambin

  • The unfolded protein response protects human tumor cells during hypoxia through regulation of the autophagy genes MAP1LC3B and ATG5

    Kasper M.A. Rouschop;Twan van den Beucken;Ludwig Dubois;Hanneke Niessen

  • Low-dose hypersensitivity : Current status and possible mechanisms

    Michael C Joiner;Brian Marples;Philippe Lambin;Susan C Short

  • CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma

    Thibaud Patrick Coroller;Thibaud Patrick Coroller;Patrick Grossmann;Patrick Grossmann;Ying Hou;Emmanuel Rios Velazquez

  • Robust Radiomics feature quantification using semiautomatic volumetric segmentation.

    Chintan Parmar;Chintan Parmar;Chintan Parmar;Emmanuel Rios Velazquez;Emmanuel Rios Velazquez;Ralph Leijenaar;Mohammed Jermoumi;Mohammed Jermoumi

  • A literature review of electronic portal imaging for radiotherapy dosimetry.

    Wouter van Elmpt;Leah McDermott;Sebastiaan Nijsten;Markus Wendling

  • Spatial genomic heterogeneity within localized, multifocal prostate cancer

    Paul C. Boutros;Paul C. Boutros;Michael Fraser;Nicholas J. Harding;Richard De Borja

  • Selection of patients for radiotherapy with protons aiming at reduction of side effects: the model-based approach.

    Johannes A. Langendijk;Philippe Lambin;Dirk De Ruysscher;Joachim Widder

  • Nomograms for Predicting Local Recurrence, Distant Metastases, and Overall Survival for Patients With Locally Advanced Rectal Cancer on the Basis of European Randomized Clinical Trials

    Vincenzo Valentini;Ruud G.P.M. Van Stiphout;Guido Lammering;Maria Antonietta Gambacorta

  • Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer

    Chintan Parmar;Chintan Parmar;Ralph T. H. Leijenaar;Patrick Grossmann;Emmanuel Rios Velazquez

  • Stability of FDG-PET Radiomics features: An integrated analysis of test-retest and inter-observer variability

    Ralph T. H. Leijenaar;Sara Carvalho;Emmanuel Rios Velazquez;Wouter J. C. van Elmpt

  • The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis.

    Ralph T.H. Leijenaar;Georgi Nalbantov;Sara Carvalho;Wouter J.C. van Elmpt

  • Predicting outcomes in radiation oncology--multifactorial decision support systems

    Philippe Lambin;Ruud G. P. M. van Stiphout;Maud H. W. Starmans;Emmanuel Rios-Velazquez

  • Time Between the First Day of Chemotherapy and the Last Day of Chest Radiation Is the Most Important Predictor of Survival in Limited-Disease Small-Cell Lung Cancer

    Dirk De Ruysscher;Madelon Pijls-Johannesma;Søren M. Bentzen;André Minken

  • Corrigendum: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

    Hugo J.W.L. Aerts;Emmanuel Rios Velazquez;Ralph T.H. Leijenaar;Chintan Parmar

Frequent Co-Authors

Dirk De Ruysscher
Dirk De Ruysscher Maastricht University
Hugo J.W.L. Aerts
Hugo J.W.L. Aerts Brigham and Women's Hospital
Bradly G. Wouters
Bradly G. Wouters Princess Margaret Cancer Centre
Anne-Marie C. Dingemans
Anne-Marie C. Dingemans Erasmus University Rotterdam
Paul C. Boutros
Paul C. Boutros University of California, Los Angeles
Felix M. Mottaghy
Felix M. Mottaghy RWTH Aachen University
László P. Biró
László P. Biró Institute of Technical Physics and Materials Science
Johan Bussink
Johan Bussink Radboud University
Jozef Anné
Jozef Anné KU Leuven
Claudiu T. Supuran
Claudiu T. Supuran University of Florence

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