Enteric Glia.
Rao, Meenakshi, and Brian D Gulbransen. 2025. “Enteric Glia.”. Cold Spring Harbor Perspectives in Biology 17 (4).
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Fine-grained forecasting of COVID-19 trends at the county level in the United States.
Song, Tzu-Hsi, Leonardo Clemente, Xiang Pan, Junbong Jang, Mauricio Santillana, and Kwonmoo Lee. 2025. “Fine-Grained Forecasting of COVID-19 Trends at the County Level in the United States.”. NPJ Digital Medicine 8 (1): 204.
SCIG: Machine learning uncovers cell identity genes in single cells by genetic sequence codes
Arulsamy, Kulandaisamy, Bo Xia, Yang Yu, Hong Chen, William T. Pu, Lili Zhang, and Kaifu Chen. 2025. “SCIG: Machine Learning Uncovers Cell Identity Genes in Single Cells by Genetic Sequence Codes”. Nucleic Acids Research 53 (10): gkaf431.
Targeting interictal low-entropy zones during epilepsy surgery predicts successful outcomes in pediatric drug-resistant epilepsy.
Makaram, Navaneethakrishna, Matthew Pesce, Melissa Tsuboyama, Jeffrey Bolton, Joseph Harmon, Christos Papadelis, Scellig Stone, et al. 2025. “Targeting Interictal Low-Entropy Zones During Epilepsy Surgery Predicts Successful Outcomes in Pediatric Drug-Resistant Epilepsy.”. Epilepsia.
Unsupervised Transformer Learning for Rapid and High-Quality MRI Data Acquisition.
Sui, Yao, Onur Afacan, Camilo Jaimes, Ali Gholipour, and Simon K Warfield. 2025. “Unsupervised Transformer Learning for Rapid and High-Quality MRI Data Acquisition.”. Health Data Science 5: 0340.
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.