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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.

Hussain, Mohammad Arafat, Danielle LaMay, Ellen Grant, and Yangming Ou. 2023. “Can Deep Learning Predict Human Intelligence from Structural Brain MRI?”. BioRxiv, 2023-02.

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.

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.

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.

Hussain, Mohammad Arafat, Patricia Ellen Grant, and Yangming Ou. 2024. “Inferring Neurocognition Using Artificial Intelligence on Brain MRIs”. Frontiers in Neuroimaging 3: 1455436.

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).

Hussain, Mohammad Arafat, Kaisar Alam, Soo Yeol Lee, and Md Kamrul Hasan. 2012. “Robust Strain-Estimation Algorithm Using Combined Radiofrequency and Envelope Cross-Correlation With Diffusion Filtering”. Ultrasonic Imaging 34 (2): 93-109.

Momeny, Mohammad, Ali Asghar Neshat, Mohammad Arafat Hussain, Solmaz Kia, Mahmoud Marhamati, Ahmad Jahanbakhshi, and Ghassan Hamarneh. 2021. “Learning-to-Augment Strategy Using Noisy and Denoised Data: Improving Generalizability of Deep CNN for the Detection of COVID-19 in X-Ray Images”. Computers in Biology and Medicine 136: 104704.

Akbarimajd, Adel, Ali Asghar Neshat, Mohammad Arafat Hussain, and Mohammad Momeny. 2021. “Detection of Covid-19 in Noisy X-Ray Images Using Learning-to-Augment Incorporated Noise-Robust Deep Cnn”. Available at SSRN 3979334.