受强制性开放获取政策约束的文章 - Mena Shenouda了解详情
无法在其他位置公开访问的文章：2 篇
Assessing robustness of a deep-learning model for COVID-19 classification on chest radiographs
M Shenouda, A Kaveti, I Flerlage, J Kalpathy-Cramer, ML Giger, ...
Medical Imaging 2023: Computer-Aided Diagnosis 12465, 75-80, 2023
强制性开放获取政策： US National Institutes of Health
Variability in radiomics features among iDose4 reconstruction levels
JJ Foy, M Shenouda, S Ramahi, SG Armato, D Ginat
Medical Imaging 2019: Computer-Aided Diagnosis 10950, 415-420, 2019
强制性开放获取政策： US National Institutes of Health
可在其他位置公开访问的文章：4 篇
SLIT3 deficiency attenuates pressure overload–induced cardiac fibrosis and remodeling
L Gong, S Wang, L Shen, C Liu, M Shenouda, B Li, X Liu, JA Shaw, ...
JCI insight 5 (12), 2020
强制性开放获取政策： US National Institutes of Health
Assessment of a deep learning model for COVID-19 classification on chest radiographs: a comparison across image acquisition techniques and clinical factors
M Shenouda, I Flerlage, A Kaveti, ML Giger, SG Armato III
Journal of Medical Imaging 10 (6), 064504-064504, 2023
强制性开放获取政策： US National Institutes of Health
Convolutional neural networks for segmentation of malignant pleural mesothelioma: Analysis of probability map thresholds (CALGB 30901, alliance)
M Shenouda, E Gudmundsson, F Li, CM Straus, HL Kindler, AZ Dudek, ...
ArXiv, 2023
强制性开放获取政策： US National Institutes of Health
Effect of an iterative reconstruction quantum noise reduction technique on computed tomography radiomic features
JJ Foy, M Shenouda, S Ramahi, S Armato, DT Ginat
Journal of Medical Imaging 7 (6), 064007-064007, 2020
强制性开放获取政策： US National Institutes of Health
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