Arnaud Scherpereel
university of lille
178 Papers
635 Citations
Arnaud Scherpereel is an academic researcher from university of lille. The author has contributed to research in topics: Medicine & Lung cancer. The author has an hindex of 38, co-authored 152 publications. Previous affiliations of Arnaud Scherpereel include Institut Jules Bordet & Lille University of Science and Technology.
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Papers
Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19.
Karim Hammoudi,Halim Benhabiles,Mahmoud Melkemi,Fadi Dornaika,Ignacio Arganda-Carreras,Dominique Collard,Arnaud Scherpereel +6 more
TL;DR: Wang et al. as mentioned in this paper investigated deep learning methods for automatically analyzing query chest X-ray images with the hope to bring precision tools to health professionals towards screening the COVID-19 and diagnosing confirmed patients.
Endocan Expression and Relationship with Survival in Human Non–Small Cell Lung Cancer
Bogdan Grigoriu,F. Depontieu,Arnaud Scherpereel,Delphine Gourcerol,Patrick Devos,Taoufik Ouatas,Jean-Jacques Lafitte,Marie-Christine Copin,André-Bernard Tonnel,Philippe Lassalle +9 more
TL;DR: Endocan is overexpressed in non–small cell lung tumors compared with healthy lung and probably represents a response of tumoral endothelium to proangiogenic growth factor stimulation, which might reflect tumor angiogenic stimulation and present prognostic significance.
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First-line nivolumab plus ipilimumab versus chemotherapy in patients with unresectable malignant pleural mesothelioma: 3-year outcomes from CheckMate 743.
S. Peters,Arnaud Scherpereel,Robin Cornelissen,Youssef Oulkhouir,Laurent Greillier,Muhammet Ali Kaplan,T. Talbot,Isabelle Monnet,Sandrine Hiret,Paul Baas,Anna K. Nowak,N. Fujimoto,Anne Tsao,Aaron S. Mansfield,Sanjay Popat,X. Zhang,Ning Hu,David Balli,Thomas Spires,Gérard Zalcman +19 more
TL;DR: In this article , first-line nivolumab plus ipilimumab significantly improved overall survival (OS) versus chemotherapy in patients with unresectable malignant pleural mesothelioma (MPM).
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•Posted Content
Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19
Karim Hammoudi,Halim Benhabiles,Mahmoud Melkemi,Fadi Dornaika,Ignacio Arganda-Carreras,Dominique Collard,Arnaud Scherpereel +6 more
TL;DR: Experimental results show possibilities of training deep learning models over publicly open sets of chest X-ray images towards screening viral pneumonia and Chest X-Ray test images of COVID-19 infected patients are successfully diagnosed through detection models retained for their performances.
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Novel therapies for malignant pleural mesothelioma
TL;DR: In this Review, immune checkpoint inhibitors, other immunotherapies, targeted therapies, or combinations of novel drugs being investigated in malignant pleural mesothelioma are described, as well as the issues surrounding the selection of the best candidates for these treatments.
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