Jean-Philippe Lamarque

Université Paris-Saclay — France

Medicine · Health Sciences

7h-index386citations11works0.02yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(5), COVID-19 diagnosis using AI(4), COVID-19 Clinical Research Studies(3), Advanced MRI Techniques and Applications(2), Medical Imaging Techniques and Applications(2)

Publications11 total

An artificial intelligence model predicts the survival of solid tumour patients from imaging and clinical data
European Journal of Cancer·2022· 19 cited
Abstract 1924: PULS-AI: A multimodal artificial intelligence model to predict survival of solid tumor patients treated with antiangiogenics
Cancer Research·2022
Contrast-Enhanced Brain MRI Synthesis With Deep Learning: Key Input Modalities and Asymptotic Performance
2021· 28 cited
Lightweight U-Net For Lesion Segmentation In Ultrasound Images
2021· 14 cited
Contrast-enhanced brain MRI synthesis with deep learning: key input modalities and asymptotic performance
HAL (Le Centre pour la Communication Scientifique Directe)·2021Open Access
Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients
Nature Communications·2021· 178 citedOpen Access
Clarification of Definitions of Hyperprogressive Disease During Immunotherapy for Non–Small Cell Lung Cancer
JAMA Oncology·2020· 92 citedOpen Access
AI-based multi-modal integration (ScanCov scores) of clinical characteristics, lab tests and chest CTs improves COVID-19 outcome prediction of hospitalized patients
2020· 11 citedOpen Access
AI-based multi-modal integration of clinical characteristics, lab tests and chest CTs improves COVID-19 outcome prediction of hospitalized patients
HAL (Le Centre pour la Communication Scientifique Directe)·2020· 3 citedOpen Access
AI-based multi-modal integration (ScanCov scores) of clinical characteristics, lab tests and chest CTs improves COVID-19 outcome prediction of hospitalized patients
HAL (Le Centre pour la Communication Scientifique Directe)·2020Open Access
Three artificial intelligence data challenges based on CT and MRI
Diagnostic and Interventional Imaging·2020· 41 cited

Frequent Co-authors

Corinne Balleyguier(9), Nathalie Lassau(8), Émilie Chouzenoux(8), Imad Bousaid(7), Etienne Bendjebbar(6), Meriem Sefta(6), Paul Jehanno(6), Mikael Azoulay(6), Fabien Brulport(6), Jean-Baptiste Schiratti(6), Kathryn Schutte(6), Gilles Wainrib(6), Thomas Clozel(6), Samy Ammari(5), Hugues Talbot(5), Hugo Gortais(4), Paul Hérent(4), Matthieu Devilder(4), Olivier Meyrignac(4), Marie-Pauline Talabard(4)