| Early detection of infusion set failure during insulin pump therapy in type 1 diabetes M Cescon, DJ DeSalvo, TT Ly, DM Maahs, LH Messer, BA Buckingham, ... Journal of diabetes science and technology 10 (6), 1268-1276, 2016 | 61 | 2016 |
| Long-term prediction of blood glucose levels in type 1 diabetes using a cnn-lstm-based deep neural network M Jaloli, M Cescon Journal of diabetes science and technology 17 (6), 1590-1601, 2023 | 41 | 2023 |
| Subspace-based model identification of diabetic blood glucose dynamics M Cescon, F Ståhl, M Landin-Olsson, R Johansson IFAC Proceedings Volumes 42 (10), 233-238, 2009 | 31 | 2009 |
| Glycemic trend prediction using empirical model identification M Cescon, R Johansson Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held …, 2009 | 29 | 2009 |
| Activity detection and classification from wristband accelerometer data collected on people with type 1 diabetes in free-living conditions M Cescon, D Choudhary, JE Pinsker, V Dadlani, MM Church, YC Kudva, ... Computers in biology and medicine 135, 104633, 2021 | 25 | 2021 |
| Modeling and prediction in diabetes physiology M Cescon | 18 | 2013 |
| Active disturbance rejection control of metal hydride hydrogen storage ALJ Keow, A Mayhall, M Cescon, Z Chen International Journal of Hydrogen Energy 46 (1), 837-851, 2021 | 17 | 2021 |
| Subspace-based linear multi-step predictors in type 1 diabetes mellitus M Cescon, R Johansson, E Renard Biomedical Signal Processing and Control 22, 99-110, 2015 | 17 | 2015 |
| Linear modeling and prediction in diabetes physiology M Cescon, R Johansson Data-driven Modeling for Diabetes: Diagnosis and Treatment, 187-222, 2014 | 17 | 2014 |
| Using iterative learning for insulin dosage optimization in multiple-daily-injections therapy for people with type 1 diabetes M Cescon, S Deshpande, R Nimri, FJ Doyle III, E Dassau IEEE Transactions on Biomedical Engineering 68 (2), 482-491, 2020 | 16 | 2020 |
| Impulsive Predictive Control of T1DM Glycemia: An In-Silico Study M Cescon, M Stemmann, R Johansson Dynamic Systems and Control Conference 45295, 319-326, 2012 | 12 | 2012 |
| Identification of individualised empirical models of carbohydrate and insulin effects on T1DM blood glucose dynamics M Cescon, R Johansson, E Renard, A Maran International Journal of Control 87 (7), 1438-1453, 2014 | 11 | 2014 |
| Subspace-based identification of compliance dynamics of parallel kinematic manipulator M Cescon, I Dressler, R Johansson, A Robertsson 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics …, 2009 | 10 | 2009 |
| Incorporating the effect of behavioral states in multi-step ahead deep learning based multivariate predictors for blood glucose forecasting in type 1 diabetes M Jaloli, W Lipscomb, M Cescon BioMedInformatics 2 (4), 715-726, 2022 | 9 | 2022 |
| Adaptive Subspace-based prediction of T1DM glycemia M Cescon, E Renard 2011 50th IEEE Conference on Decision and Control and European Control …, 2011 | 7 | 2011 |
| Multi-step-ahead multivariate predictors: a comparative analysis M Cescon, R Johansson 49th IEEE Conference on Decision and Control (CDC), 2837-2842, 2010 | 7 | 2010 |
| Model Predictive Control (MPC) of an artificial pancreas with data-driven learning of multi-step-ahead blood glucose predictors EM Aiello, M Jaloli, M Cescon Control Engineering Practice 144, 105810, 2024 | 4 | 2024 |
| Basal-bolus advisor for type 1 diabetes (T1D) patients using multi-agent reinforcement learning (RL) methodology M Jaloli, M Cescon Control Engineering Practice 142, 105762, 2024 | 4 | 2024 |
| Reinforcement Learning for Multiple Daily Injection (MDI) Therapy in Type 1 Diabetes (T1D) M Jaloli, M Cescon BioMedInformatics 3 (2), 422-433, 2023 | 4 | 2023 |
| Data-enabled learning and control algorithms for intelligent glucose management: the state of the art D Cai, W Wu, M Cescon, W Liu, L Ji, D Shi Annual Reviews in Control 56, 100897, 2023 | 4 | 2023 |
