Etienne Bendjebbar

Medicine · Health Sciences

6h-index416citations13works0.02yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(7), AI in cancer detection(5), COVID-19 diagnosis using AI(4), COVID-19 Clinical Research Studies(3), Breast Cancer Treatment Studies(3)

Publications13 total

Multimodal prediction of metastatic relapse using federated deep learning in soft-tissue sarcoma with a complex genomic profile
Scientific Reports·2025Open Access
Deep learning predicts patients outcome and mutations from digitized histology slides in gastrointestinal stromal tumor
npj Precision Oncology·2023· 18 citedOpen Access
Federated learning for predicting histological response to neoadjuvant chemotherapy in triple-negative breast cancer
Nature Medicine·2023· 173 cited
Deep Learning Allows Assessment of Risk of Metastatic Relapse from Invasive Breast Cancer Histological Slides
2022· 8 citedOpen Access
Deep learning predicts patients’ outcome and mutations from H&E slides in Gastrointestinal stromal tumor (GIST)
2022Open Access
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
Abstract 1939: Multimodal prediction of metastatic relapse using federated deep learning outperforms state-of-the-art methods in soft-tissue sarcoma
Cancer Research·2022
Collaborative Federated Learning behind Hospitals’ Firewalls for Predicting Histological Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer
2021· 6 citedOpen Access
Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients
Nature Communications·2021· 178 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

Frequent Co-authors

Kathryn Schutte(8), Gilles Wainrib(8), Charles Maussion(8), Meriem Sefta(7), Imad Bousaid(7), Benoît Schmauch(7), Jean-Philippe Lamarque(6), Rémy Dubois(6), Corinne Balleyguier(6), Paul Jehanno(6), Mikael Azoulay(6), Fabien Brulport(6), Jean-Baptiste Schiratti(6), Thomas Clozel(6), Jean Ogier du Terrail(5), Nathalie Lassau(4), Samy Ammari(4), Émilie Chouzenoux(4), Hugo Gortais(4), Paul Hérent(4)