| Deep learning for predicting enhancing lesions in multiple sclerosis from noncontrast MRI PA Narayana, I Coronado, SJ Sujit, JS Wolinsky, FD Lublin, RE Gabr Radiology 294 (2), 398-404, 2020 | 89 | 2020 |
| Brain and lesion segmentation in multiple sclerosis using fully convolutional neural networks: a large-scale study RE Gabr, I Coronado, M Robinson, SJ Sujit, S Datta, X Sun, WJ Allen, ... Multiple Sclerosis Journal 26 (10), 1217-1226, 2020 | 80 | 2020 |
| Automated image quality evaluation of structural brain MRI using an ensemble of deep learning networks SJ Sujit, I Coronado, A Kamali, PA Narayana, RE Gabr Journal of Magnetic Resonance Imaging 50 (4), 1260-1267, 2019 | 69 | 2019 |
| Deep‐learning‐based neural tissue segmentation of MRI in multiple sclerosis: effect of training set size PA Narayana, I Coronado, SJ Sujit, JS Wolinsky, FD Lublin, RE Gabr Journal of Magnetic Resonance Imaging 51 (5), 1487-1496, 2020 | 42 | 2020 |
| Deep learning segmentation of gadolinium-enhancing lesions in multiple sclerosis I Coronado, RE Gabr, PA Narayana Multiple Sclerosis Journal 27 (4), 519-527, 2021 | 35 | 2021 |
| Are multi-contrast magnetic resonance images necessary for segmenting multiple sclerosis brains? A large cohort study based on deep learning PA Narayana, I Coronado, SJ Sujit, X Sun, JS Wolinsky, RE Gabr Magnetic resonance imaging 65, 8-14, 2020 | 26 | 2020 |
| Automated image quality evaluation of structural brain magnetic resonance images using deep convolutional neural networks SJ Sujit, RE Gabr, I Coronado, M Robinson, S Datta, PA Narayana 2018 9th Cairo International Biomedical Engineering Conference (CIBEC), 33-36, 2018 | 17 | 2018 |
| Multimodal MRI segmentation of brain tissue and T2-hyperintense white matter lesions in multiple sclerosis using deep convolutional neural networks and a large multi-center … PA Narayana, I Coronado, M Robinson, SJ Sujit, S Datta, X Sun, ... 2018 9th Cairo International Biomedical Engineering Conference (CIBEC), 13-16, 2018 | 12 | 2018 |
| Detection of stroke with retinal microvascular density and self-supervised learning using OCT-A and fundus imaging S Pachade, I Coronado, R Abdelkhaleq, J Yan, S Salazar-Marioni, ... Journal of Clinical Medicine 11 (24), 7408, 2022 | 9 | 2022 |
| Deep learning enabled brain shunt valve identification using mobile phones SJ Sujit, E Bonfante, A Aein, I Coronado, R Riascos-Castaneda, ... Computer methods and programs in biomedicine 210, 106356, 2021 | 7 | 2021 |
| Towards stroke biomarkers on fundus retinal imaging: a comparison between vasculature embeddings and general purpose convolutional neural networks I Coronado, R Abdelkhaleq, J Yan, SS Marioni, A Jagolino-Cole, ... 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 6 | 2021 |
| Synthetic OCT-A blood vessel maps using fundus images and generative adversarial networks I Coronado, S Pachade, E Trucco, R Abdelkhaleq, J Yan, ... Scientific Reports 13 (1), 15325, 2023 | 1 | 2023 |
| Optimizing Predictions of Infarct Core Using Machine Learning SAS Rania Abdelkhaleq, Victor Lopez-Rivera, Sergio Salazar-Marioni, Songmi ... International Stroke Conference, 2021 | 1* | 2021 |
| Foveal Avascular Zone Segmentation Using Deep Learning-Driven Image-Level Optimization and Fundus Photographs I Coronado, S Pachade, H Dawoodally, SS Marioni, J Yan, R Abdelkhaleq, ... 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | | 2023 |
| Author Correction: Synthetic OCT-A blood vessel maps using fundus images and generative adversarial networks I Coronado, S Pachade, E Trucco, R Abdelkhaleq, J Yan, ... Scientific Reports 13, 2023 | | 2023 |
| Abstract P427: Use of Machine Learning to Determine Predictors of Intracerebral Hemorrhage Expansion AI Azher, I Coronado, SI Savitz, JA Aronowski, S Salazar-Marioni, ... Stroke 52 (Suppl_1), AP427-AP427, 2021 | | 2021 |
| Can Retinal Oct-A Imaging Be Used to Detect Acute Ischemic Stroke? SS Luca Giancardo, Rania Abdelkhaleq, Charles Green, Ivan Coronado, Sergio ... NASA Human Research Program Investigators' Workshop, 2021 | | 2021 |
| Detection of Diffusely Abnormal White Matter using Multimodal MRI and Deep Convolutional Neural Networks PN Refaat Gabr, Ivan Coronado Annual Meeting of the Radiological Society of North America, 2020 | | 2020 |
| Segmentation of contrast enhancing lesions in multiple sclerosis using deep learning and a large cohort study PAN Refaat E Gabr, Ivan Coronado International Society for Magnetic Resonance in Medicine, 2020 | | 2020 |
| Application of Deep Learning for analyzing MRI data acquired on a large MS cohort REG Ponnada A Narayana, Ivan Coronado Neuroscience and Brain Disorders, 2020 | | 2020 |
Refaat E. GabrFlorida Atlantic University在 health.fau.edu 的电子邮件经过验证
