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Learnable image histograms-based deep radiomics for renal cell carcinoma grading and staging

Publication: Journal Article

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

Publication: Journal Article

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?

Publication: Journal Article

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

Publication: Journal Article

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

Publication: Book

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

Publication: Journal Article

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

Publication: Journal Article

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.

Publication: Journal Article

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).

Dr. Ntolkeras' Awards for our Corpus Callosotomy Study!

News: October 08, 2025

Congrats to Dr. Georgios Ntolkeras who received two awards for his work titled " Presurgical EEG Connectivity Predicts Seizure Outcomes After Corpus Callosotomy in Children with Drug-Resistant Epilepsy”, which he is conducting under Dr. Tamilia guidance and supervision. He was awarded the " 2025...

Paper Publication in Epilepsia - Makaram et al

News: September 01, 2025

We are thrilled to share that our paper, “ Targeting Interictal Low-Entropy Zones during Epilepsy Surgery Predicts Successful Outcomes in Pediatric Drug-Resistant Epilepsy”, has just been published in Epilepsia. In this work, we validated a new computational tool to map low-entropy brain activity...