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Leyla Ebrahimpour

centre de recherche du chu de québec - université laval

7H指数
15论文数
86被引数
收录论文 7
发表时间
Whole-Slide Imaging and Radiological Features Predict Clinical Outcomes in Patients with Neuroendocrine Tumors of the Lung全玻片成像和放射学特征预测肺神经内分泌肿瘤患者的临床结局
err2025-09-22
err0
PREAI
errSevinj Yolchuyeva; Leyla Ebrahimpour; Yannick Lemaréchal; Philippe Joubert; Steve Bilodeau; Philippe Despres; Venkata S.K. Manem
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Radiomics-based kidney lesion classification: Mitigating batch effect with nested combat harmonization基于放射组学的肾脏病变分类:使用嵌套COMBAT和谐化减轻批次效应
err2025-09-01
err0
errOAAI
errNiloofar Ziasaeedi; Yannick Lemaréchal; Mohsen Agharazii; Venkata S. K. Manem; Philippe Després; Leyla Ebrahimpour
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A benchmark of deep learning approaches to predict lung cancer risk using national lung screening trial cohort
err2025-01-11
err1
errOAAI
errJiang, Yifan; Ebrahimpour, Leyla; Despres, Philippe; Manem, Venkata SK.
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Multi-institutional prognostic modeling of survival outcomes in NSCLC patients treated with first-line immunotherapy using radiomics
err2024-01-10
err2
errOAAI
errYolchuyeva, Sevinj; Ebrahimpour, Leyla; Tonneau, Marion; Lamaze, Fabien; Orain, Michele; Coulombe, Francois; Malo, Julie; Belkaid, Wiam; Routy, Bertrand; Joubert, Philippe; Manem, Venkata SK.
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Gene expression signature predicts radiation sensitivity in cell lines using the integral of dose-response curve
err2024-01-02
err2
errOAAI
errKolnohuz, Alona; Ebrahimpour, Leyla; Yolchuyeva, Sevinj; Manem, Venkata S. K.
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The XMM cluster survey: exploring scaling relations and completeness of the dark energy survey year 3 redMaPPer cluster catalogue
err2023-04-25
err4
errOAAI
errUpsdell, E. W.; Giles, P. A.; Romer, A. K.; Wilkinson, R.; Turner, D. J.; Hilton, M.; Rykoff, E.; Farahi, A.; Bhargava, S.; Jeltema, T.; Klein, M.; Bermeo, A.; Collins, C. A.; Ebrahimpour, L.; Hollowood, D.; Mann, R. G.; Manolopoulou, M.; Miller, C. J.; Rooney, P. J.; Sahlen, Martin; Stott, J. P.; Viana, P. T. P.; Allam, S.; Alves, O.; Bacon, D.; Bertin, E.; Bocquet, S.; Brooks, D.; Burke, D. L.; Carrasco Kind, M.; Carretero, J.; Costanzi, M.; da Costa, L. N.; Pereira, M. E. S.; De Vicente, J.; Desai, S.; Diehl, H. T.; Dietrich, J. P.; Everett, S.; Ferrero, I; Frieman, J.; Garcia-Bellido, J.; Gerdes, D. W.; Gutierrez, G.; Hinton, S. R.; Honscheid, K.; James, D. J.; Kuehn, K.; Kuropatkin, N.; Lima, M.; Marshall, J. L.; Mena-Fernandez, J.; Menanteau, F.; Miquel, R.; Mohr, J. J.; Ogando, R. L. C.; Pieres, A.; Raveri, M.; Rodriguez-Monroy, M.; Sanchez, E.; Scarpine, V; Sevilla-Noarbe, I; Smith, M.; Suchyta, E.; Swanson, M. E. C.; Tarle, G.; To, C.; Weaverdyck, N.; Weller, J.; Wiseman, P.
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The XMM Cluster Survey analysis of the SDSS DR8 redMaPPer catalogue: implications for scatter, selection bias, and isotropy in cluster scaling relations
err2022-08-27
err9
errOAAI
errGiles, P. A.; Romer, A. K.; Wilkinson, R.; Bermeo, A.; Turner, D. J.; Hilton, M.; Upsdell, E. W.; Rooney, P. J.; Bhargava, S.; Ebrahimpour, L.; Farahi, A.; Mann, R. G.; Manolopoulou, M.; Mayers, J.; Vergara, C.; Viana, P. T. P.; Collins, C. A.; Hollowood, D.; Jeltema, T.; Miller, C. J.; Nichol, R. C.; Noorali, R.; Splettstoesser, M.; Stott, J. P.
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