Clinical Prediction

In-Depth Feature Engineering

Cutting-Edge Machine Learning and Deep Learning

Cutting-Edge Machine Learning and Deep Learning

We craft informative features that enable the development of high-performing models.

Cutting-Edge Machine Learning and Deep Learning

Cutting-Edge Machine Learning and Deep Learning

Cutting-Edge Machine Learning and Deep Learning

We tailor advanced machine learning and deep learning models to neuroinformatics applications.

Explainable Model Development

Model Fairness and Confidence Evaluation

Model Fairness and Confidence Evaluation

We integrate cutting-edge explainability methods, providing invaluable model insights.

Model Fairness and Confidence Evaluation

Model Fairness and Confidence Evaluation

Model Fairness and Confidence Evaluation

We conduct thorough fairness and confidence analyses, ensuring high confidence, equitable model predictions.

Example Publications

Dini, H., Sendi, M.S.E., Sui, J., Fu, Z., Espinoza, R., Narr, K.L., Qi, S., Abbott, C.C., van Rooij, S.J.H., Riva-Posse, P., Bruni, L.E., Mayberg, H.S., & Calhoun, V.D. (2021). Dynamic functional connectivity predicts treatment response to electroconvulsive therapy in major depressive disorder. Frontiers in Human Neuroscience, 15, 689488. DOI: 10.3389/fnhum.2021.689488.

Ellis, C. A., Miller, R. L., and Calhoun, V. D. (2024). Cross-Sampling Rate Transfer Learning for Enhanced Raw EEG Deep Learning Classifier Performance in Major Depressive Disorder Diagnosis. Proc. - Int. Symp. Biomed. Imaging, 1–5. doi:10.1109/ISBI56570.2024.10635743.

Ellis, C. A., Miller, R. L., and Calhoun, V. D. (2023). Towards Greater Neuroimaging Classification Transparency via the Integration of Explainability Methods and Confidence Estimation Approaches. Informatics Med. Unlocked 37. doi:https://doi.org/10.1016/j.imu.2023.101176.

Zendehrouh. E, Sendi. M.S.E, Abrol. Anees, Batta. Ishaan, Hassanzadeh. R, Calhoun. D. V. (2024). A multimodal Neuroimaging-Based risk score for mild cognitive impairment. NeuroImage: Clinical.