| Residual deconvolutional networks for brain electron microscopy image segmentation A Fakhry, T Zeng, S Ji IEEE transactions on medical imaging 36 (2), 447-456, 2016 | 91 | 2016 |
| Deep models for brain EM image segmentation: novel insights and improved performance A Fakhry, H Peng, S Ji Bioinformatics 32 (15), 2352-2358, 2016 | 45 | 2016 |
| Integrative analysis of the connectivity and gene expression atlases in the mouse brain S Ji, A Fakhry, H Deng NeuroImage 84, 245-253, 2014 | 41 | 2014 |
| High-resolution prediction of mouse brain connectivity using gene expression patterns A Fakhry, S Ji Methods 73, 71-78, 2015 | 29 | 2015 |
| Allen mouse brain atlases reveal different neural connection and gene expression patterns in cerebellum gyri and sulci T Zeng, H Chen, A Fakhry, X Hu, T Liu, S Ji Brain Structure and Function 220 (5), 2691-2703, 2015 | 16 | 2015 |
| Global analysis of gene expression and projection target correlations in the mouse brain A Fakhry, T Zeng, H Peng, S Ji Brain informatics 2 (2), 107-117, 2015 | 11 | 2015 |
| Virufy: Global Applicability of Crowdsourced and Clinical Datasets for AI Detection of COVID-19 from Cough G Chaudhari, X Jiang, A Fakhry, A Han, J Xiao, S Shen, A Khanzada arXiv preprint arXiv:2011.13320, 2020 | 2 | 2020 |
| Virufy: A Multi-Branch Deep Learning Network for Automated Detection of COVID-19 A Fakhry, X Jiang, J Xiao, G Chaudhari, A Han, A Khanzada arXiv preprint arXiv:2103.01806, 2021 | | 2021 |
| Machine Learning Methods for Brain Image Analysis A Fakhry | | 2016 |
Shuiwang Ji, ACM Distinguished Mem...Department of Computer Science & Engineering, Texas A&M UniversityVerified email at tamu.edu
