| 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 | 19 | 2020 |
| The use of radiomics on computed tomography scans for differentiation of somatic BAP1 mutation status for patients with pleural mesothelioma M Shenouda, A Shaikh, I Deutsch, O Mitchell, HL Kindler, SG Armato III Medical Imaging 2024: Computer-Aided Diagnosis 12927, 735-743, 2024 | 2 | 2024 |
| Assessing radiomic feature robustness using agreement over image perturbation A Shaikh, I Deutsch, M Shenouda, O Mitchell, HL Kindler, SG Armato III Medical Imaging 2024: Computer-Aided Diagnosis 12927, 714-720, 2024 | 2 | 2024 |
| 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 | 2 | 2023 |
| 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 | 2 | 2023 |
| Convolutional neural networks for segmentation of pleural mesothelioma: analysis of probability map thresholds (CALGB 30901, alliance) M Shenouda, E Gudmundsson, F Li, CM Straus, HL Kindler, AZ Dudek, ... Journal of Imaging Informatics in Medicine, 1-12, 2024 | 1 | 2024 |
| 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 | 1 | 2023 |
| 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 | 1 | 2020 |
| Impact of retraining and data partitions on the generalizability of a deep learning model in the task of COVID-19 classification on chest radiographs M Shenouda, HM Whitney, ML Giger, SG Armato III Journal of Medical Imaging 11 (6), 064503-064503, 2024 | | 2024 |
| Radiomics for differentiation of somatic BAP1 mutation on CT scans of patients with pleural mesothelioma M Shenouda, A Shaikh, I Deutsch, O Mitchell, HL Kindler, SG Armato III Journal of Medical Imaging 11 (6), 064501-064501, 2024 | | 2024 |
| Implementation and Analysis of Artificial Intelligence for Pleural Mesothelioma on Computed Tomography Scans and COVID-19 on Chest Radiographs M Shenouda The University of Chicago, 2024 | | 2024 |
| Texture analysis for differentiation of BAP1 mutation status on computed tomography scans of patients with pleural mesothelioma: A pilot study M Shenouda, O Mitchell, HL Kindler, SG Armato 65th Annual Meeting & Exhibition 50, e244, 2023 | | 2023 |
| Continuous Learning Model for COVID-19 Classification on Cxr Images JD Fuhrman, M Shenouda, K Drukker, SG Armato, ML Giger 65th Annual Meeting & Exhibition, e73, 2023 | | 2023 |
| Reproducibility of a deep learning COVID-19 Classification model based on image acquisition dates and data resampling. M Shenouda, ML Giger, SG Armato Radiological Society of North America Scientific Assembly and Annual Meeting, 2023 | | 2023 |
| Model calibration by temperature scaling of a U-Net deep learning model trained for the segmentation of mesothelioma tumor: A pilot study. M Shenouda, SG Armato Radiological Society of North America Scientific Assembly and Annual Meeting, 2023 | | 2023 |
| Convolutional Neural Networks for the Automated Segmentation of Malignant Pleural Mesothelioma: Analysis of Performance Based On Probability Map Threshold M Shenouda, E Gudmundsson, F Li, C Straus, H Kindler, A Dudek, ... MEDICAL PHYSICS 49 (6), E680-E681, 2022 | | 2022 |
| Validation of a deep learning model for COVID-19 diagnosis from portable and stationary dual-energy chest radiography units. M Shenouda, Q Hu, K Drukker, SG Armato, ML Giger Radiological Society of North America Scientific Assembly and Annual Meeting, 2022 | | 2022 |
| Does Radiomics Have the Potential to Assess KV-CBCT Image Performance Acquired From Phantom Data Used for Daily QA? M Shenouda, N Baughan, JC Bastida, E Pearson, H Al-Hallaq MEDICAL PHYSICS 47 (6), E748-E748, 2020 | | 2020 |
| 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 | | 2019 |
