1. Ali Arab, Betty Chinda, George Medvedev, William Siu, Tao Gu, Hui Guo, Sylvain Moreno, Ghassan Hamarneh, Martin Ester, and Xiaowei Song. A Fast and Fully-Automated Deep-Learning Approach for Accurate Haemorrhage Segmentation and Volume Quantification in Non-Contrast Whole-Head CT (Arabi and Chinda: Joint first authors). Nature - Scientific reports, 10(19389):1-12, 2020. Keyword(s): Deep Learning, Segmentation. [bibtex-key = nature_sr2020b]



2. Chloe Lim, Hayyan Liaqat, William Siu, Ghassan Hamarneh, and George Medvedev. Future implementation of automated analysis tools for Multiple Sclerosis on conventional magnetic resonance imaging (Lim and Liaqat: Joint first authors; Hamarneh and Medvedev: Joint senior authors). Multiple Sclerosis. MSVirtual 2020 – Late Breaking News. Also appears in ACTRIMS-ECTRMS meeting, 1(3 SUPPL):99, 2020. Keyword(s): Segmentation, Software and Tools, Multiple Sclerosis, MRI. [bibtex-key = msj2020]

1. Ali Arab, Betty Chinda, William Siu, George Medvedev, Tao Gu, Hui Guo, Sylvain Moreno, Ghassan Hamarneh, Martin Ester, and Xiaowei Song. A fully-automated convolutional neural network with deep supervision approach for haemorrhage segmentation and volume quantification in CT scans. In American Society of Neuroradiology (ASNR), pages 1, 2020. Keyword(s): Deep Learning, Machine Learning, Segmentation. [bibtex-key = asnr2020]



2. Chloe Lim, Hayyan Liaqat, William Siu, Ghassan Hamarneh, and George Medvedev. Future implementation of automated analysis tools for Multiple Sclerosis on conventional magnetic resonance imaging (Lim and Liaqat: Joint first authors; Hamarneh and Medvedev: Joint senior authors). In 8th joint Americas Committee for Treatment and Research in Multiple Sclerosis - European Committee for Treatment and Research in Multiple Sclerosis (joint ACTRIMS-ECTRMS), pages 1, 2020. Keyword(s): Segmentation, Software and Tools, Multiple Sclerosis, MRI. [bibtex-key = ectrms2020]

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