受强制性开放获取政策约束的文章 - Ivan Coronado了解详情
可在其他位置公开访问的文章：13 篇
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
强制性开放获取政策： US National Institutes of Health
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
强制性开放获取政策： US National Institutes of Health
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
强制性开放获取政策： US National Institutes of Health
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
强制性开放获取政策： US National Institutes of Health
Deep learning segmentation of gadolinium-enhancing lesions in multiple sclerosis
I Coronado, RE Gabr, PA Narayana
Multiple Sclerosis Journal 27 (4), 519-527, 2021
强制性开放获取政策： US National Institutes of Health
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
强制性开放获取政策： US National Institutes of Health
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
强制性开放获取政策： US National Institutes of Health
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
强制性开放获取政策： US National Institutes of Health, US National Aeronautics and Space …
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
强制性开放获取政策： US National Institutes of Health
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
强制性开放获取政策： US National Institutes of Health, US National Aeronautics and Space …
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
强制性开放获取政策： US National Institutes of Health, US National Aeronautics and Space …
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
强制性开放获取政策： US National Institutes of Health, US National Aeronautics and Space …
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
强制性开放获取政策： US National Institutes of Health, US National Aeronautics and Space …
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