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2020 – today
- 2023
[j31]Taiyu Zhu
, Lei Kuang, John Daniels, Pau Herrero, Kezhi Li, Pantelis Georgiou:
IoMT-Enabled Real-Time Blood Glucose Prediction With Deep Learning and Edge Computing. IEEE Internet Things J. 10(5): 3706-3719 (2023)- [j30]Taiyu Zhu, Kezhi Li, Pau Herrero, Pantelis Georgiou:
Personalized Blood Glucose Prediction for Type 1 Diabetes Using Evidential Deep Learning and Meta-Learning. IEEE Trans. Biomed. Eng. 70(1): 193-204 (2023) - [j29]Taiyu Zhu, Kezhi Li, Pau Herrero, Pantelis Georgiou:
GluGAN: Generating Personalized Glucose Time Series Using Generative Adversarial Networks. IEEE J. Biomed. Health Informatics 27(10): 5122-5133 (2023) - 2022
- [j28]Taiyu Zhu, Chukwuma Uduku, Kezhi Li, Pau Herrero, Nick Oliver, Pantelis Georgiou:
Enhancing self-management in type 1 diabetes with wearables and deep learning. npj Digit. Medicine 5 (2022) - [j27]John Daniels, Pau Herrero, Pantelis Georgiou:
A Deep Learning Framework for Automatic Meal Detection and Estimation in Artificial Pancreas Systems. Sensors 22(2): 466 (2022) - [j26]John Daniels, Pau Herrero, Pantelis Georgiou:
A Multitask Learning Approach to Personalized Blood Glucose Prediction. IEEE J. Biomed. Health Informatics 26(1): 436-445 (2022) - 2021
- [j25]Fabian León-Vargas, Clare Martin, Maira García-Jaramillo, Arantza Aldea, Yenny Leal, Pau Herrero, Angie K. Reyes, Diana Henao, Ana María Gomez:
Is a cloud-based platform useful for diabetes management in Colombia? The Tidepool experience. Comput. Methods Programs Biomed. 208: 106205 (2021) - [j24]Taiyu Zhu, Kezhi Li, Pau Herrero, Pantelis Georgiou:
Basal Glucose Control in Type 1 Diabetes Using Deep Reinforcement Learning: An In Silico Validation. IEEE J. Biomed. Health Informatics 25(4): 1223-1232 (2021) - [j23]Taiyu Zhu, Kezhi Li, Pau Herrero, Pantelis Georgiou:
Deep Learning for Diabetes: A Systematic Review. IEEE J. Biomed. Health Informatics 25(7): 2744-2757 (2021) - [c16]Lei Kuang, Taiyu Zhu, Kezhi Li, John Daniels, Pau Herrero, Pantelis Georgiou:
Live Demonstration: An IoT Wearable Device for Real-time Blood Glucose Prediction with Edge AI. BioCAS 2021: 1 - [c15]Taiyu Zhu, Lei Kuang, Kezhi Li, Junming Zeng, Pau Herrero, Pantelis Georgiou:
Blood Glucose Prediction in Type 1 Diabetes Using Deep Learning on the Edge. ISCAS 2021: 1-5 - 2020
- [j22]Taiyu Zhu, Kezhi Li, Jianwei Chen, Pau Herrero, Pantelis Georgiou:
Dilated Recurrent Neural Networks for Glucose Forecasting in Type 1 Diabetes. J. Heal. Informatics Res. 4(3): 308-324 (2020) - [j21]Taiyu Zhu, Kezhi Li, Lei Kuang, Pau Herrero, Pantelis Georgiou:
An Insulin Bolus Advisor for Type 1 Diabetes Using Deep Reinforcement Learning. Sensors 20(18): 5058 (2020) - [j20]Kezhi Li, Chengyuan Liu, Taiyu Zhu, Pau Herrero, Pantelis Georgiou:
GluNet: A Deep Learning Framework for Accurate Glucose Forecasting. IEEE J. Biomed. Health Informatics 24(2): 414-423 (2020) - [j19]Kezhi Li, John Daniels, Chengyuan Liu, Pau Herrero, Pantelis Georgiou:
Convolutional Recurrent Neural Networks for Glucose Prediction. IEEE J. Biomed. Health Informatics 24(2): 603-613 (2020) - [j18]Amparo Güemes, Giacomo Cappon, Bernard Hernandez, Monika Reddy, Nick Oliver, Pantelis Georgiou, Pau Herrero:
Predicting Quality of Overnight Glycaemic Control in Type 1 Diabetes Using Binary Classifiers. IEEE J. Biomed. Health Informatics 24(5): 1439-1446 (2020) - [c14]Taiyu Zhu, Xi Yao, Kezhi Li, Pau Herrero, Pantelis Georgiou:
Blood Glucose Prediction for Type 1 Diabetes Using Generative Adversarial Networks. KDH@ECAI 2020: 90-94 - [c13]John Daniels, Pau Herrero, Pantelis Georgiou:
Personalised Glucose Prediction via Deep Multitask Networks. KDH@ECAI 2020: 110-114 - [c12]David A. Duce, Clare Martin, Alex Russell, Dan Brown, Arantza Aldea, Bedour Alshaigy, Rachel Harrison, Marion Waite, Yenny Leal, Marzena Wos, Mercè Fernandez-Balsells, José Manuel Fernández Real, Lucian Nita, Beatriz López, Joaquim Massana, Parizad Avari, Pau Herrero, Narvada Jugnee, Nick Oliver, Monika Reddy:
Visualizing Usage Data from a Diabetes Management System. CGVC 2020: 1-9 - [i3]Taiyu Zhu, Kezhi Li, Pau Herrero, Pantelis Georgiou:
Basal Glucose Control in Type 1 Diabetes using Deep Reinforcement Learning: An In Silico Validation. CoRR abs/2005.09059 (2020)
2010 – 2019
- 2019
- [j17]Vanessa Moscardó, Pau Herrero, José-Luis Díez, Marga Giménez, Paolo Rossetti, Pantelis Georgiou, Jorge Bondia:
Coordinated dual-hormone artificial pancreas with parallel control structure. Comput. Chem. Eng. 128: 322-328 (2019) - [j16]Amparo Güemes, Pau Herrero, Jorge Bondia, Pantelis Georgiou:
Modeling the effect of the cephalic phase of insulin secretion on glucose metabolism. Medical Biol. Eng. Comput. 57(6): 1173-1186 (2019) - [j15]Giacomo Cappon, Andrea Facchinetti, Giovanni Sparacino, Pantelis Georgiou, Pau Herrero:
Classification of Postprandial Glycemic Status with Application to Insulin Dosing in Type 1 Diabetes - An In Silico Proof-of-Concept. Sensors 19(14): 3168 (2019) - [j14]Chengyuan Liu, Josep Vehí, Parizad Avari, Monika Reddy, Nick Oliver, Pantelis Georgiou, Pau Herrero:
Long-Term Glucose Forecasting Using a Physiological Model and Deconvolution of the Continuous Glucose Monitoring Signal. Sensors 19(19): 4338 (2019) - [c11]Vanessa Moscardó, Pau Herrero, José-Luis Díez, Marga Giménez, Paolo Rossetti, Jorge Bondia:
In silico evaluation of a Parallel Control-based Coordinated Dual-Hormone Artificial Pancreas with Insulin on Board Limitation. ACC 2019: 4759-4764 - [c10]Amparo Güemes, Pau Herrero, Pantelis Georgiou:
A Novel Glucose Controller using Insulin Sensitivity Modulation for Management of Type 1 Diabetes. ISCAS 2019: 1-5 - [e2]Fernando Koch, Andrew Koster, David Riaño, Sara Montagna, Michael Schumacher, Annette ten Teije, Christian Guttmann, Manfred Reichert, Isabelle Bichindaritz, Pau Herrero, Richard Lenz, Beatriz López, Cindy Marling, Clare Martin, Stefania Montani, Nirmalie Wiratunga:
Artificial Intelligence in Health - First International Workshop, AIH@IJCAI 2018, Stockholm, Sweden, July 13-14, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11326, Springer 2019, ISBN 978-3-030-12737-4 [contents] - [i2]Chengyuan Liu, Josep Vehí, Nick Oliver, Pantelis Georgiou, Pau Herrero:
Enhancing Blood Glucose Prediction with Meal Absorption and Physical Exercise Information. CoRR abs/1901.07467 (2019) - 2018
- [j13]Beatriz López, Clare Martin, Pau Herrero Viñas:
Special section on artificial intelligence for diabetes. Artif. Intell. Medicine 85: 26-27 (2018) - [j12]Charrise Mary Ramkissoon, Pau Herrero, Jorge Bondia, Josep Vehí:
Unannounced Meals in the Artificial Pancreas: Detection Using Continuous Glucose Monitoring. Sensors 18(3): 884 (2018) - [j11]Pau Herrero, Timothy M. Rawson, Akash Philip, Luke Stephen Prockter Moore, Alison H. Holmes, Pantelis Georgiou:
Closed-Loop Control for Precision Antimicrobial Delivery: An In Silico Proof-of-Concept. IEEE Trans. Biomed. Eng. 65(10): 2231-2236 (2018) - [c9]Taiyu Zhu, Kezhi Li, Pau Herrero, Jianwei Chen, Pantelis Georgiou:
A Deep Learning Algorithm for Personalized Blood Glucose Prediction. KDH@IJCAI 2018: 64-78 - [c8]Jianwei Chen, Kezhi Li, Pau Herrero, Taiyu Zhu, Pantelis Georgiou:
Dilated Recurrent Neural Network for Short-time Prediction of Glucose Concentration. KDH@IJCAI 2018: 69-73 - [c7]Mohamed Fayez El-Sharkawy, John Daniels, Peter Pesl, Monika Reddy, Nick Oliver, Pau Herrero, Pantelis Georgiou:
A Portable Low-Power Platform for Ambulatory Closed Loop Control of Blood Glucose in Type 1 Diabetes. ISCAS 2018: 1-5 - [e1]Isabelle Bichindaritz, Christian Guttmann, Pau Herrero, Fernando Koch, Andrew Koster, Richard Lenz, Beatriz López Ibáñez, Cindy Marling, Clare Martin, Sara Montagna, Stefania Montani, Manfred Reichert, David Riaño, Michael Ignaz Schumacher, Annette ten Teije, Nirmalie Wiratunga:
Proceedings of the First Joint Workshop on AI in Health organized as part of the Federated AI Meeting (FAIM 2018), co-located with AAMAS 2018, ICML 2018, IJCAI 2018 and ICCBR 2018, Stockholm, Sweden, July 13-14, 2018. CEUR Workshop Proceedings 2142, CEUR-WS.org 2018 [contents] - [i1]Kezhi Li, John Daniels, Pau Herrero Viñas, Chengyuan Liu, Pantelis Georgiou:
Convolutional Recurrent Neural Networks for Blood Glucose Prediction. CoRR abs/1807.03043 (2018) - 2017
- [j10]Pau Herrero, Jorge Bondia, Oloruntoba Adewuyi, Peter Pesl, Mohamed Fayez El-Sharkawy, Monika Reddy, Chris Toumazou, Nick Oliver, Pantelis Georgiou:
Enhancing automatic closed-loop glucose control in type 1 diabetes with an adaptive meal bolus calculator - in silico evaluation under intra-day variability. Comput. Methods Programs Biomed. 146: 125-131 (2017) - [j9]Bernard Hernandez, Pau Herrero, Timothy M. Rawson, Luke S. P. Moore, Benjamin Evans, Christofer Toumazou, Alison H. Holmes, Pantelis Georgiou:
Supervised learning for infection risk inference using pathology data. BMC Medical Informatics Decis. Mak. 17(1): 168:1-168:12 (2017) - [c6]Bernard Hernandez, Pau Herrero, Timothy M. Rawson, Luke S. P. Moore, Esmita Charani, Alison H. Holmes, Pantelis Georgiou:
Data-driven Web-based Intelligent Decision Support System for Infection Management at Point-Of-Care: Case-Based Reasoning Benefits and Limitations. HEALTHINF 2017: 119-127 - 2016
- [j8]Peter Pesl, Pau Herrero, Monika Reddy, Maria Xenou, Nick Oliver, Desmond Johnston, Christofer Toumazou, Pantelis Georgiou:
An Advanced Bolus Calculator for Type 1 Diabetes: System Architecture and Usability Results. IEEE J. Biomed. Health Informatics 20(1): 11-17 (2016) - [c5]Pau Herrero, Mohamed Fayez El-Sharkawy, Peter Pesl, Bernard Hernandez, Lorraine Choi, Osama M. Awara, Yu Lee, Jian Lim, Mohamed M. Yusof, Aaron Sheah, Liyangyi Yu, Pantelis Georgiou:
Live demonstrator: Challenging the Bio-inspired Artificial Pancreas with a mixed-meal model library. ISCAS 2016: 1444 - [c4]Peter Pesl, Pau Herrero, Monika Reddy, Nick Oliver, Christofer Toumazou, Pantelis Georgiou:
Live demonstration: Smartwatch implementation of an advanced insulin bolus calculator for diabetes. ISCAS 2016: 2370 - 2015
- [j7]Pau Herrero, Peter Pesl, Jorge Bondia, Monika Reddy, Nick Oliver, Pantelis Georgiou, Christofer Toumazou:
Method for automatic adjustment of an insulin bolus calculator: In silico robustness evaluation under intra-day variability. Comput. Methods Programs Biomed. 119(1): 1-8 (2015) - [j6]Pau Herrero, Peter Pesl, Monika Reddy, Nick Oliver, Pantelis Georgiou, Christofer Toumazou:
Advanced Insulin Bolus Advisor Based on Run-To-Run Control and Case-Based Reasoning. IEEE J. Biomed. Health Informatics 19(3): 1087-1096 (2015) - 2014
- [j5]Ilias Pagkalos, Pau Herrero, Christofer Toumazou, Pantelis Georgiou:
Bio-Inspired Glucose Control in Diabetes Based on an Analogue Implementation of a $\beta $-Cell Model. IEEE Trans. Biomed. Circuits Syst. 8(2): 186-195 (2014) - [c3]Pau Herrero, Mohamed Fayez El-Sharkawy, Peter Pesl, Monika Reddy, Nick Oliver, Desmond Johnston, Chris Toumazou, Pantelis Georgiou:
Live demonstration: A handheld Bio-inspired Artificial pancreas for treatment of diabetes. BioCAS 2014: 172 - [c2]Peter Pesl, Pau Herrero, Monika Reddy, Nick Oliver, Desmond Johnston, Chris Toumazou, Pantelis Georgiou:
Live demonstration: An advanced bolus calculator for diabetes management - A clinical and patient platform. BioCAS 2014: 175 - 2013
- [c1]Ilias Pagkalos, Pau Herrero, Pantelis Georgiou:
An analogue implementation of the beta cell insulin release model. ISCAS 2013: 2489-2492 - 2012
- [j4]Pau Herrero, Pantelis Georgiou, Christofer Toumazou, Benoît Delaunay, Luc Jaulin:
An Efficient Implementation of the SIVIA Algorithm in a High-Level Numerical Programming Language. Reliab. Comput. 16: 239-251 (2012)
2000 – 2009
- 2009
- [j3]Joaquim Armengol, Josep Vehí, Miguel Ángel Sainz, Pau Herrero, Esteban R. Gelso:
SQualTrack: A Tool for Robust Fault Detection. IEEE Trans. Syst. Man Cybern. Part B 39(2): 475-488 (2009) - 2006
- [b1]Pau Herrero:
Quantified real constraint solving using modal intervals with applications to control. University of Girona, Spain, 2006 - 2005
- [j2]Pau Herrero, Miguel Ángel Sainz, Josep Vehí, Luc Jaulin:
Quantified Set Inversion Algorithm with Applications to Control. Reliab. Comput. 11(5): 369-382 (2005) - 2002
- [j1]Joaquim Armengol, Josep Vehí, Miguel Ángel Sainz, Pau Herrero:
Detección de los Fallos en Procesos Reales Basada en Modelos Intervalares y Múltiples Ventanas Temporales Deslizantes. Computación y Sistemas 6(2) (2002)
Coauthor Index
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