Mena Shenouda
Staff Affiliate - YNHHCards
About
Research
Publications
2024
Impact of retraining and data partitions on the generalizability of a deep learning model in the task of COVID-19 classification on chest radiographs
Shenouda M, Whitney HM, Giger ML, Armato SG III, Impact of retraining and data partitions on the generalizability of a deep learning model in the task of COVID-19 classification on chest radiographs, J. Med. Imag. 11(6), 064503 (2024), doi: 10.1117/1.JMI.11.6.064503.Peer-Reviewed Original ResearchRadiomics for differentiation of somatic BAP1 mutation on CT scans of patients with pleural mesothelioma
Shenouda M, Shaikh A, Deutsch I, Mitchell O, Kindler HL, Armato SG III, Radiomics for differentiation of somatic BAP1 mutation on CT scans of patients with pleural mesothelioma, J. Med. Imag. 11(6), 064501 (2024), doi: 10.1117/1.JMI.11.6.064501.Peer-Reviewed Original ResearchConvolutional Neural Networks for Segmentation of Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance).
Shenouda M, Gudmundsson E, Li F, Straus CM, Kindler HL, Dudek AZ, Stinchcombe T, Wang X, Starkey A, Armato Iii SG. Convolutional Neural Networks for Segmentation of Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance). J Imaging Inform Med 2024 PMID: 39266911, DOI: 10.1007/s10278-024-01092-z.Peer-Reviewed Original Research
2023
Assessment of a deep learning model for COVID-19 classification on chest radiographs: a comparison across image acquisition techniques and clinical factors.
Shenouda M, Flerlage I, Kaveti A, Giger ML, Armato SG 3rd. Assessment of a deep learning model for COVID-19 classification on chest radiographs: a comparison across image acquisition techniques and clinical factors. J Med Imaging (Bellingham) 2023, 10: 064504. PMID: 38162317, DOI: 10.1117/1.JMI.10.6.064504.Peer-Reviewed Original Research
2020
Effect of an iterative reconstruction quantum noise reduction technique on computed tomography radiomic features.
Foy JJ, Shenouda M, Ramahi S, Armato S, Ginat DT. Effect of an iterative reconstruction quantum noise reduction technique on computed tomography radiomic features. J Med Imaging (Bellingham) 2020, 7: 064007. PMID: 33409336, DOI: 10.1117/1.JMI.7.6.064007.Peer-Reviewed Original ResearchSLIT3 deficiency attenuates pressure overload-induced cardiac fibrosis and remodeling
Gong L, Wang S, Shen L, Liu C, Shenouda M, Li B, Liu X, Shaw J, Wineman A, Yang Y, Xiong D, Eichmann A, Evans SM, Weiss SJ, Si MS. SLIT3 deficiency attenuates pressure overload-induced cardiac fibrosis and remodeling. JCI Insight 2020, 5 PMID: 32644051, PMCID: PMC7406261, DOI: 10.1172/jci.insight.136852.Peer-Reviewed Original ResearchConceptsVentricular pressure overloadRight ventricular pressure overloadPressure overloadMyocardial fibrosisVentricular functionPressure overload-induced cardiac fibrosisLong-term ventricular functionOverload-induced cardiac fibrosisSlit guidance ligand 3Fibroblast activityPulmonary artery bandingPoor clinical outcomeTransverse aortic constrictionCongenital heart diseaseCollagen productionGlobal knockout micePotential therapeutic targetFibrillar collagen synthesisPulmonary hypertensionVentricular dysfunctionHemodynamic abnormalitiesOverall survivalAdverse remodelingClinical outcomesAfterload elevation