| A review of emerging technologies for the management of diabetes mellitus K Zarkogianni, E Litsa, K Mitsis, PY Wu, CD Kaddi, CW Cheng, MD Wang, ... IEEE Transactions on Biomedical Engineering 62 (12), 2735-2749, 2015 | 140 | 2015 |
| Comparative assessment of glucose prediction models for patients with type 1 diabetes mellitus applying sensors for glucose and physical activity monitoring K Zarkogianni, K Mitsis, E Litsa, MT Arredondo, G Ficο, A Fioravanti, ... Medical & biological engineering & computing 53, 1333-1343, 2015 | 116 | 2015 |
| Machine learning-guided three-dimensional printing of tissue engineering scaffolds A Conev, EE Litsa, MR Perez, M Diba, AG Mikos, LE Kavraki Tissue Engineering Part A 26 (23-24), 1359-1368, 2020 | 69 | 2020 |
| Personalized glucose-insulin metabolism model based on self-organizing maps for patients with Type 1 Diabetes Mellitus K Zarkogianni, E Litsa, A Vazeou, KS Nikita 13th IEEE International Conference on BioInformatics and BioEngineering, 1-4, 2013 | 37 | 2013 |
| Prediction of drug metabolites using neural machine translation EE Litsa, P Das, LE Kavraki Chemical science 11 (47), 12777-12788, 2020 | 33 | 2020 |
| Machine learning guided atom mapping of metabolic reactions EE Litsa, MI Pena, M Moll, G Giannakopoulos, GN Bennett, LE Kavraki Journal of Chemical Information and Modeling 59 (3), 1121-1135, 2018 | 17 | 2018 |
| Machine learning models in the prediction of drug metabolism: Challenges and future perspectives EE Litsa, P Das, LE Kavraki Expert opinion on drug metabolism & toxicology 17 (11), 1245-1247, 2021 | 10 | 2021 |
| Spec2Mol: An end-to-end deep learning framework for translating MS/MS Spectra to de-novo molecules E Litsa, V Chenthamarakshan, P Das, L Kavraki | 8 | 2021 |
| An end-to-end deep learning framework for translating mass spectra to de-novo molecules EE Litsa, V Chenthamarakshan, P Das, LE Kavraki Communications Chemistry 6 (1), 132, 2023 | 5 | 2023 |
| Payel Das, and Lydia Kavraki E Litsa, V Chenthamarakshan Spec2mol: An end-to-end deep learning framework for translating ms/ms …, 2021 | 4 | 2021 |
| Elucidating Metabolism through Machine Learning EE Litsa Rice University, 2021 | | 2021 |
| EVIDENCE BASED MEDICINE AND HEALTHCARE K Zarkogianni, E Litsa, K Mitsis, PY Wu, CD Kaddi, CW Cheng, MD Wang, ... | | |
| Metabolite Translator: Prediction of drug metabolites using a Transformer model E Litsa, P Das, L Kavraki | | |
| Prediction of Drug Metabolism Using Graph Convolutional Neural Networks EE Litsa, NE Mitchell | | |
