Deep Learning Artificial Intelligence (AI) Applications in MRI
Our faculty has been successful in publishing two journal articles regarding deep learning artificial intelligence (AI) applications in MRI. Dr. Refaat Gabr, one of the investigators, explains the research, “The first application uses AI to automatically assess the quality of structural brain MRI images. In the second application we use AI to classify brain tissue and detect lesions in patients with multiple sclerosis”.
The work on quality assessment will appear in the October 2019 issue (volume 50 issue 4) of Journal of Magnetic Resonance Imaging.
Sujit SJ, Coronado I, Kamali A, Narayana PA, Gabr RE. Automated image quality evaluation of structural brain MRI using an ensemble of deep learning networks. Journal of Magnetic Resonance Imaging. 2019 Volume 50 Issue 4, p1260-1267.
https://onlinelibrary.wiley.com/doi/abs/10.1002/jmri.26693
The work on brain tissue classification is in press in the Multiple Sclerosis Journal.
Gabr RE, Coronado I, Robinson M, Sujit SJ, Datta S, Sun X, Allen WJ, Lublin FD, Wolinsky JS, Narayana PA. Brain and lesion segmentation in multiple sclerosis using fully convolutional neural networks: A large-scale study. Multiple Sclerosis Journal. 2019 Jun 13:1352458519856843.
https://journals.sagepub.com/doi/abs/10.1177/1352458519856843
Brain tissue classification research
He adds that there is additional articles currently under review from other reputable journals (Radiology, Magnetic Resonance Imaging, and Journal of Magnetic Resonance Imaging) investigating technical questions and novel applications of AI in MRI. More news to come soon!