日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

An Integrated Cancer Prevention Strategy: the Viewpoint of the Leon Berard Comprehensive Cancer Center Lyon, France

综合癌症预防策略:法国里昂莱昂·贝拉尔综合癌症中心的视角

Fervers, Beatrice; Pérol, Olivia; Lasset, Christine; Moumjid, Nora; Vidican, Pauline; Saintigny, Pierre; Tardy, Juliette; Biaudet, Julien; Bonadona, Valérie; Triviaux, Dominique; Marijnen, Philippe; Mongondry, Rodolf; Cattey-Javouhey, Anne; Buono, Romain; Bertrand, Amandine; Marec-Bérard, Perrine; Rousset-Jablonski, Christine; Pilleul, Frank; Christophe, Veronique; Girodet, Magali; Praud, Delphine; Solodky, Marie-Laure; Crochet, Hugo; Achache, Abdel; Michallet, Mauricette; Galvez, Christelle; Miermont, Anne; Sebileau, Damien; Zrounba, Philippe; Beaupère, Sophie; Philip, Thierry; Blay, Jean-Yves

Real-world effectiveness of post-trastuzumab emtansine treatment for human epidermal growth factor receptor 2-positive metastatic breast cancer: a multicenter, matched cohort analysis from the Epidemiology Strategy and Medical Economics database (2008-2018)

曲妥珠单抗-美坦新治疗对人表皮生长因子受体 2 阳性转移性乳腺癌的真实世界疗效:来自流行病学策略和医学经济数据库的多中心匹配队列分析(2008-2018 年)

Courtinard, C; Barbet, V; Schiappa, R; Pilleul, F; Michiels, S; Dabakuyo, S; Gourgou, S; Jaffre, A; Asselain, B; Bosquet, L; Dunton, K; Rosenlund, M; Liang, Z; Cathcart, J; Delaloge, S

Development of a Secure Web-Based Medical Imaging Analysis Platform: The AWESOMME Project

开发安全的基于 Web 的医学影像分析平台:AWESOMME 项目

Diot-Dejonghe, Tiphaine; Leporq, Benjamin; Bouhamama, Amine; Ratiney, Helene; Pilleul, Frank; Beuf, Olivier; Cervenansky, Frederic

Characterization of Breast Tumors from MR Images Using Radiomics and Machine Learning Approaches

利用放射组学和机器学习方法对磁共振图像中的乳腺肿瘤进行表征

Faraz, Khuram; Dauce, Grégoire; Bouhamama, Amine; Leporq, Benjamin; Sasaki, Hajime; Bito, Yoshitaka; Beuf, Olivier; Pilleul, Frank

Radiomics combined with transcriptomics to predict response to immunotherapy from patients treated with PD-1/PD-L1 inhibitors for advanced NSCLC

放射组学与转录组学相结合,用于预测接受PD-1/PD-L1抑制剂治疗的晚期非小细胞肺癌患者对免疫疗法的反应。

Bouhamama, Amine; Leporq, Benjamin; Faraz, Khuram; Foy, Jean-Philippe; Boussageon, Maxime; Pérol, Maurice; Ortiz-Cuaran, Sandra; Ghiringhelli, François; Saintigny, Pierre; Beuf, Olivier; Pilleul, Frank

Automatic deep learning method for third lumbar selection and body composition evaluation on CT scans of cancer patients

基于深度学习的癌症患者CT扫描第三腰椎选择和身体成分评估自动方法

Delrieu, Lidia; Blanc, Damien; Bouhamama, Amine; Reyal, Fabien; Pilleul, Frank; Racine, Victor; Hamy, Anne Sophie; Crochet, Hugo; Marchal, Timothée; Heudel, Pierre Etienne

Prediction of Histologic Neoadjuvant Chemotherapy Response in Osteosarcoma Using Pretherapeutic MRI Radiomics

利用治疗前MRI放射组学预测骨肉瘤新辅助化疗的组织学反应

Bouhamama, Amine; Leporq, Benjamin; Khaled, Wassef; Nemeth, Angéline; Brahmi, Mehdi; Dufau, Julie; Marec-Bérard, Perrine; Drapé, Jean-Luc; Gouin, François; Bertrand-Vasseur, Axelle; Blay, Jean-Yves; Beuf, Olivier; Pilleul, Frank

Influence of cellular models and individual factor in the biological response to head CT scan exams

细胞模型和个体因素对头部 CT 扫描检查生物反应的影响

Clément Devic, Larry Bodgi, Laurène Sonzogni, Frank Pilleul, Hervé Ribot, Charlotte De Charry, François Le Moigne, Didier Paul, Fanny Carbillet, Mélodie Munier, Nicolas Foray

Influence of cellular models and individual factor in the biological response to chest CT scan exams

细胞模型和个体因素对胸部 CT 扫描检查生物反应的影响

Clément Devic, Larry Bodgi, Laurène Sonzogni, Frank Pilleul, Hervé Ribot, Charlotte De Charry, François Le Moigne, Didier Paul, Fanny Carbillet, Mélodie Munier, Nicolas Foray

Prediction of lipomatous soft tissue malignancy on MRI: comparison between machine learning applied to radiomics and deep learning

基于磁共振成像预测脂肪瘤性软组织恶性肿瘤:机器学习在放射组学中的应用与深度学习的比较

Fradet, Guillaume; Ayde, Reina; Bottois, Hugo; El Harchaoui, Mohamed; Khaled, Wassef; Drapé, Jean-Luc; Pilleul, Frank; Bouhamama, Amine; Beuf, Olivier; Leporq, Benjamin