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Strain-initialized robust bone surface detection in 3-D ultrasound
Hussain, Mohammad Arafat, Antony J Hodgson, and Rafeef Abugharbieh. 2017. “Strain-Initialized Robust Bone Surface Detection in 3-D Ultrasound”. Ultrasound in Medicine & Biology 43 (3): 648-61.
Learnable image histograms-based deep radiomics for renal cell carcinoma grading and staging
Hussain, Mohammad Arafat, Ghassan Hamarneh, and Rafeef Garbi. 2021. “Learnable Image Histograms-Based Deep Radiomics for Renal Cell Carcinoma Grading and Staging”. Computerized Medical Imaging and Graphics 90: 101924.
Active deep learning from a noisy teacher for semi-supervised 3D image segmentation: Application to COVID-19 pneumonia infection in CT
Hussain, Mohammad Arafat, Zahra Mirikharaji, Mohammad Momeny, Mahmoud Marhamati, Ali Asghar Neshat, Rafeef Garbi, and Ghassan Hamarneh. 2022. “Active Deep Learning from a Noisy Teacher for Semi-Supervised 3D Image Segmentation: Application to COVID-19 Pneumonia Infection in CT”. Computerized Medical Imaging and Graphics 102: 102127.
Can deep learning predict human intelligence from structural brain MRI?
Hussain, Mohammad Arafat, Danielle LaMay, Ellen Grant, and Yangming Ou. 2023. “Can Deep Learning Predict Human Intelligence from Structural Brain MRI?”. BioRxiv, 2023-02.
Influence of Demographic, Socio-economic, and Brain Structural Factors on Adolescent Neurocognition: A Correlation Analysis in the ABCD Initiative
Hussain, Mohammad Arafat, Grace Li, Ellen Grant, and Yangming Ou. 2023. “Influence of Demographic, Socio-Economic, and Brain Structural Factors on Adolescent Neurocognition: A Correlation Analysis in the ABCD Initiative”. BioRxiv, 2023-02.
Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings
Suk, Heung-Il, Mingxia Liu, Pingkun Yan, and Chunfeng Lian. 2019. Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019, Held in Conjunction With MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings. Springer Nature.
The role of expert MRI scores in predicting adverse 18-22-month outcomes for Hypoxic Ischemic Encephalopathy in Neonatal Research Network trials
Kesri, Ankush, Rina Bao, Chuan-Heng Hsiao, Rutvi Vyas, Mohammad Arafat Hussain, Scott McDonald, Jeanette Auman, et al. Forthcoming. “The Role of Expert MRI Scores in Predicting Adverse 18-22-Month Outcomes for Hypoxic Ischemic Encephalopathy in Neonatal Research Network Trials”, Forthcoming.
Inferring Neurocognition Using Artificial Intelligence on Brain MRIs
Hussain, Mohammad Arafat, Patricia Ellen Grant, and Yangming Ou. 2024. “Inferring Neurocognition Using Artificial Intelligence on Brain MRIs”. Frontiers in Neuroimaging 3: 1455436.
EVALUATION OF FOUR PROMISING BREAD WHEAT GENOTYPES TO DIFFERENT PHOSPHORUS LEVELS FOR YIELD AND ITS COMPONENTS.
Hussain, Mohammad A, Khalid M Dawod, Dilsher S Taher, and Shleer S Ahmad. 2022. “EVALUATION OF FOUR PROMISING BREAD WHEAT GENOTYPES TO DIFFERENT PHOSPHORUS LEVELS FOR YIELD AND ITS COMPONENTS.”. Mesopotamia Journal of Agriculture 50 (2).