| Lung pattern classification for interstitial lung diseases using a deep convolutional neural network M Anthimopoulos, S Christodoulidis, L Ebner, A Christe, S Mougiakakou IEEE transactions on medical imaging 35 (5), 1207-1216, 2016 | 1430 | 2016 |
| A computer-aided diagnostic system to characterize CT focal liver lesions: design and optimization of a neural network classifier M Gletsos, SG Mougiakakou, GK Matsopoulos, KS Nikita, AS Nikita, ... IEEE transactions on information technology in biomedicine 7 (3), 153-162, 2003 | 337 | 2003 |
| Multisource transfer learning with convolutional neural networks for lung pattern analysis S Christodoulidis, M Anthimopoulos, L Ebner, A Christe, S Mougiakakou IEEE journal of biomedical and health informatics 21 (1), 76-84, 2016 | 333 | 2016 |
| A food recognition system for diabetic patients based on an optimized bag-of-features model MM Anthimopoulos, L Gianola, L Scarnato, P Diem, SG Mougiakakou IEEE journal of biomedical and health informatics 18 (4), 1261-1271, 2014 | 270 | 2014 |
| Semantic segmentation of pathological lung tissue with dilated fully convolutional networks M Anthimopoulos, S Christodoulidis, L Ebner, T Geiser, A Christe, ... IEEE journal of biomedical and health informatics 23 (2), 714-722, 2018 | 165 | 2018 |
| Predicting blood glucose with an lstm and bi-lstm based deep neural network Q Sun, MV Jankovic, L Bally, SG Mougiakakou 2018 14th symposium on neural networks and applications (NEUREL), 1-5, 2018 | 164 | 2018 |
| Differential diagnosis of CT focal liver lesions using texture features, feature selection and ensemble driven classifiers SG Mougiakakou, IK Valavanis, A Nikita, KS Nikita Artificial Intelligence in Medicine 41 (1), 25-37, 2007 | 161 | 2007 |
| Computer aided diagnosis based on medical image processing and artificial intelligence methods J Stoitsis, I Valavanis, SG Mougiakakou, S Golemati, A Nikita, KS Nikita Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2006 | 155 | 2006 |
| Two-view 3D reconstruction for food volume estimation J Dehais, M Anthimopoulos, S Shevchik, S Mougiakakou IEEE transactions on multimedia 19 (5), 1090-1099, 2016 | 148 | 2016 |
| Computer-aided diagnosis of pulmonary fibrosis using deep learning and CT images A Christe, AA Peters, D Drakopoulos, JT Heverhagen, T Geiser, ... Investigative radiology 54 (10), 627-632, 2019 | 130 | 2019 |
| SMARTDIAB: a communication and information technology approach for the intelligent monitoring, management and follow-up of type 1 diabetes patients SG Mougiakakou, CS Bartsocas, E Bozas, N Chaniotakis, D Iliopoulou, ... IEEE Transactions on Information Technology in Biomedicine 14 (3), 622-633, 2010 | 122 | 2010 |
| Computer-aided diagnosis of carotid atherosclerosis based on ultrasound image statistics, laws’ texture and neural networks SG Mougiakakou, S Golemati, I Gousias, AN Nicolaides, KS Nikita Ultrasound in medicine & biology 33 (1), 26-36, 2007 | 120 | 2007 |
| An insulin infusion advisory system based on autotuning nonlinear model-predictive control K Zarkogianni, A Vazeou, SG Mougiakakou, A Prountzou, KS Nikita IEEE Transactions on Biomedical Engineering 58 (9), 2467-2477, 2011 | 111 | 2011 |
| Neural network based glucose-insulin metabolism models for children with type 1 diabetes SG Mougiakakou, A Prountzou, D Iliopoulou, KS Nikita, A Vazeou, ... 2006 International Conference of the IEEE Engineering in Medicine and …, 2006 | 106 | 2006 |
| Carbohydrate estimation by a mobile phone-based system versus self-estimations of individuals with type 1 diabetes mellitus: a comparative study D Rhyner, H Loher, J Dehais, M Anthimopoulos, S Shevchik, RH Botwey, ... Journal of medical Internet research 18 (5), e101, 2016 | 105 | 2016 |
| Food recognition for dietary assessment using deep convolutional neural networks S Christodoulidis, M Anthimopoulos, S Mougiakakou New Trends in Image Analysis and Processing--ICIAP 2015 Workshops: ICIAP …, 2015 | 102 | 2015 |
| Computer vision-based carbohydrate estimation for type 1 patients with diabetes using smartphones M Anthimopoulos, J Dehais, S Shevchik, BH Ransford, D Duke, P Diem, ... Journal of diabetes science and technology 9 (3), 507-515, 2015 | 91 | 2015 |
| A comparative study on carbohydrate estimation: GoCARB vs. Dietitians MF Vasiloglou, S Mougiakakou, E Aubry, A Bokelmann, R Fricker, ... Nutrients 10 (6), 741, 2018 | 78 | 2018 |
| Real-time adaptive models for the personalized prediction of glycemic profile in type 1 diabetes patients E Daskalaki, A Prountzou, P Diem, SG Mougiakakou Diabetes technology & therapeutics 14 (2), 168-174, 2012 | 76 | 2012 |
| goFOODTM: An Artificial Intelligence System for Dietary Assessment Y Lu, T Stathopoulou, MF Vasiloglou, LF Pinault, C Kiley, EK Spanakis, ... Sensors 20 (15), 4283, 2020 | 72 | 2020 |
Marios AnthimopoulosRoche在 roche.com 的电子邮件经过验证
