| 2025 | AIAI | Classifying Cognitive States of Alzheimer's Disease with Machine Learning Using Digital Biomarkers from the Bio-Hermes Study Cohort. | Eoin Houstoun, Daniel Stamate, Henry Musto, David Reeves, Catharine Morgan, Roxana Hutanu, Kalliopi Mavromati, Dorina Cadar, Daniel Stahl |
| 2025 | AIAI | Proteomics, Neuropsychological and Demographics Multimodal Machine Learning Approach to Alzheimer's Disease Prediction on the Bio-Hermes Study Cohort. | Henry Musto, Daniel Stamate, David Reeves, Catharine Morgan, Roxana Hutanu, Kalliopi Mavromati, Dorina Cadar, Daniel Stahl |
| 2024 | ICANN | Predicting Deterioration in Mild Cognitive Impairment with Survival Transformers, Extreme Gradient Boosting and Cox Proportional Hazard Modelling. | Henry Musto, Daniel Stamate, Doina Logofatu, Daniel Stahl |
| 2024 | ICMLA | Variational Encoder Based Synthetic Alzheimer's Data Generation for Deep Learning, XGBoost and Statistical Survival Analysis. | Henry Musto, Daniel Stamate, Daniel Stahl |
| 2023 | ICCCI | Predicting Alzheimer's Disease Diagnosis Risk Over Time with Survival Machine Learning on the ADNI Cohort. | Henry Musto, Daniel Stamate, Ida M. Pu, Daniel Stahl |
| 2021 | ICMLA | A Machine Learning Approach for Predicting Deterioration in Alzheimer's Disease. | Henry Musto, Daniel Stamate, Ida M. Pu, Daniel Stahl |