Detección de los Fallos en Procesos Reales Basada en Modelos Intervalares y Múltiples Ventanas Temporales Deslizantes. - Joaquim Armengol; Josep Vehí; Miguel Ángel Sainz; Pau Herrero (Computación y Sistemas, 2002)

Quantified Set Inversion Algorithm with Applications to Control. - Pau Herrero; Miguel Ángel Sainz; Josep Vehí; Luc Jaulin (Reliab. Comput., 2005)

Quantified real constraint solving using modal intervals with applications to control. - Pau Herrero (2006)

SQualTrack: A Tool for Robust Fault Detection. - Joaquim Armengol; Josep Vehí; Miguel Ángel Sainz; Pau Herrero; Esteban R. Gelso (IEEE Trans. Syst. Man Cybern. Part B, 2009)

An Efficient Implementation of the SIVIA Algorithm in a High-Level Numerical Programming Language. - Pau Herrero; Pantelis Georgiou; Christofer Toumazou; Benoît Delaunay; Luc Jaulin (Reliab. Comput., 2012)

An analogue implementation of the beta cell insulin release model. - Ilias Pagkalos; Pau Herrero; Pantelis Georgiou (ISCAS, 2013)

Live demonstration: A handheld Bio-inspired Artificial pancreas for treatment of diabetes. - Pau Herrero; Mohamed Fayez El-Sharkawy; Peter Pesl; Monika Reddy; Nick Oliver; Desmond Johnston; Chris Toumazou; Pantelis Georgiou (BioCAS, 2014)

Live demonstration: An advanced bolus calculator for diabetes management - A clinical and patient platform. - Peter Pesl; Pau Herrero; Monika Reddy; Nick Oliver; Desmond Johnston; Chris Toumazou; Pantelis Georgiou (BioCAS, 2014)

Bio-Inspired Glucose Control in Diabetes Based on an Analogue Implementation of a $ beta $-Cell Model. - Ilias Pagkalos; Pau Herrero; Christofer Toumazou; Pantelis Georgiou (IEEE Trans. Biomed. Circuits Syst., 2014)

Method for automatic adjustment of an insulin bolus calculator: In silico robustness evaluation under intra-day variability. - Pau Herrero; Peter Pesl; Jorge Bondia; Monika Reddy; Nick Oliver; Pantelis Georgiou; Christofer Toumazou (Comput. Methods Programs Biomed., 2015)

Advanced Insulin Bolus Advisor Based on Run-To-Run Control and Case-Based Reasoning. - Pau Herrero; Peter Pesl; Monika Reddy; Nick Oliver; Pantelis Georgiou; Christofer Toumazou (IEEE J. Biomed. Health Informatics, 2015)

Live demonstrator: Challenging the Bio-inspired Artificial Pancreas with a mixed-meal model library. - 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 (ISCAS, 2016)

Live demonstration: Smartwatch implementation of an advanced insulin bolus calculator for diabetes. - Peter Pesl; Pau Herrero; Monika Reddy; Nick Oliver; Christofer Toumazou; Pantelis Georgiou (ISCAS, 2016)

An Advanced Bolus Calculator for Type 1 Diabetes: System Architecture and Usability Results. - Peter Pesl; Pau Herrero; Monika Reddy; Maria Xenou; Nick Oliver; Desmond Johnston; Christofer Toumazou; Pantelis Georgiou (IEEE J. Biomed. Health Informatics, 2016)

Data-driven Web-based Intelligent Decision Support System for Infection Management at Point-Of-Care: Case-Based Reasoning Benefits and Limitations. - Bernard Hernandez; Pau Herrero; Timothy M. Rawson; Luke S. P. Moore; Esmita Charani; Alison H. Holmes; Pantelis Georgiou (HEALTHINF, 2017)

Enhancing automatic closed-loop glucose control in type 1 diabetes with an adaptive meal bolus calculator - in silico evaluation under intra-day variability. - Pau Herrero; Jorge Bondia; Oloruntoba Adewuyi; Peter Pesl; Mohamed Fayez El-Sharkawy; Monika Reddy; Chris Toumazou; Nick Oliver; Pantelis Georgiou (Comput. Methods Programs Biomed., 2017)

Supervised learning for infection risk inference using pathology data. - Bernard Hernandez; Pau Herrero; Timothy M. Rawson; Luke S. P. Moore; Benjamin Evans; Christofer Toumazou; Alison H. Holmes; Pantelis Georgiou (BMC Medical Informatics Decis. Mak., 2017)

Dilated Recurrent Neural Network for Short-time Prediction of Glucose Concentration. - Jianwei Chen; Kezhi Li; Pau Herrero; Taiyu Zhu; Pantelis Georgiou (KDH@IJCAI, 2018)

A Deep Learning Algorithm for Personalized Blood Glucose Prediction. - Taiyu Zhu; Kezhi Li; Pau Herrero; Jianwei Chen; Pantelis Georgiou (KDH@IJCAI, 2018)

A Portable Low-Power Platform for Ambulatory Closed Loop Control of Blood Glucose in Type 1 Diabetes. - Mohamed Fayez El-Sharkawy; John Daniels; Peter Pesl; Monika Reddy; Nick Oliver; Pau Herrero; Pantelis Georgiou (ISCAS, 2018)

Special section on artificial intelligence for diabetes. - Beatriz López 001; Clare Martin 001; Pau Herrero Viñas (Artif. Intell. Medicine, 2018)

Convolutional Recurrent Neural Networks for Blood Glucose Prediction. - Kezhi Li; John Daniels; Pau Herrero Viñas; Chengyuan Liu; Pantelis Georgiou (CoRR, 2018)

Unannounced Meals in the Artificial Pancreas: Detection Using Continuous Glucose Monitoring. - Charrise Mary Ramkissoon; Pau Herrero; Jorge Bondia; Josep Vehí (Sensors, 2018)

Closed-Loop Control for Precision Antimicrobial Delivery: An In Silico Proof-of-Concept. - Pau Herrero; Timothy M. Rawson; Akash Philip; Luke Stephen Prockter Moore; Alison H. Holmes; Pantelis Georgiou (IEEE Trans. Biomed. Eng., 2018)

In silico evaluation of a Parallel Control-based Coordinated Dual-Hormone Artificial Pancreas with Insulin on Board Limitation. - Vanessa Moscardó; Pau Herrero; José-Luis Díez; Marga Giménez; Paolo Rossetti; Jorge Bondia (ACC, 2019)

A Novel Glucose Controller using Insulin Sensitivity Modulation for Management of Type 1 Diabetes. - Amparo Güemes; Pau Herrero; Pantelis Georgiou (ISCAS, 2019)

Coordinated dual-hormone artificial pancreas with parallel control structure. - Vanessa Moscardó; Pau Herrero; José-Luis Díez; Marga Giménez; Paolo Rossetti; Pantelis Georgiou; Jorge Bondia (Comput. Chem. Eng., 2019)

Enhancing Blood Glucose Prediction with Meal Absorption and Physical Exercise Information. - Chengyuan Liu; Josep Vehí; Nick Oliver; Pantelis Georgiou; Pau Herrero (CoRR, 2019)

Modeling the effect of the cephalic phase of insulin secretion on glucose metabolism. - Amparo Güemes; Pau Herrero; Jorge Bondia; Pantelis Georgiou (Medical Biol. Eng. Comput., 2019)

Classification of Postprandial Glycemic Status with Application to Insulin Dosing in Type 1 Diabetes - An In Silico Proof-of-Concept. - Giacomo Cappon; Andrea Facchinetti; Giovanni Sparacino; Pantelis Georgiou; Pau Herrero (Sensors, 2019)

Long-Term Glucose Forecasting Using a Physiological Model and Deconvolution of the Continuous Glucose Monitoring Signal. - Chengyuan Liu; Josep Vehí; Parizad Avari; Monika Reddy; Nick Oliver; Pantelis Georgiou; Pau Herrero (Sensors, 2019)

Personalised Glucose Prediction via Deep Multitask Networks. - John Daniels; Pau Herrero; Pantelis Georgiou (KDH@ECAI, 2020)

Blood Glucose Prediction for Type 1 Diabetes Using Generative Adversarial Networks. - Taiyu Zhu; Xi Yao; Kezhi Li; Pau Herrero; Pantelis Georgiou (KDH@ECAI, 2020)

Visualizing Usage Data from a Diabetes Management System. - David A. Duce; Clare Martin 001; Alex Russell; Dan Brown; Arantza Aldea; Bedour Alshaigy; Rachel Harrison; Marion Waite; Yenny Leal; Marzena Wos; Mercè Fernandez-Balsells; José Manuel Fernández Real; et al. (CGVC, 2020)

Dilated Recurrent Neural Networks for Glucose Forecasting in Type 1 Diabetes. - Taiyu Zhu; Kezhi Li; Jianwei Chen; Pau Herrero; Pantelis Georgiou (J. Heal. Informatics Res., 2020)

An Insulin Bolus Advisor for Type 1 Diabetes Using Deep Reinforcement Learning. - Taiyu Zhu; Kezhi Li; Lei Kuang; Pau Herrero; Pantelis Georgiou (Sensors, 2020)

Predicting Quality of Overnight Glycaemic Control in Type 1 Diabetes Using Binary Classifiers. - Amparo Güemes; Giacomo Cappon; Bernard Hernandez; Monika Reddy; Nick Oliver; Pantelis Georgiou; Pau Herrero (IEEE J. Biomed. Health Informatics, 2020)

Convolutional Recurrent Neural Networks for Glucose Prediction. - Kezhi Li; John Daniels; Chengyuan Liu; Pau Herrero; Pantelis Georgiou (IEEE J. Biomed. Health Informatics, 2020)

GluNet: A Deep Learning Framework for Accurate Glucose Forecasting. - Kezhi Li; Chengyuan Liu; Taiyu Zhu; Pau Herrero; Pantelis Georgiou (IEEE J. Biomed. Health Informatics, 2020)

Live Demonstration: An IoT Wearable Device for Real-time Blood Glucose Prediction with Edge AI. - Lei Kuang; Taiyu Zhu; Kezhi Li; John Daniels; Pau Herrero; Pantelis Georgiou (BioCAS, 2021)

Blood Glucose Prediction in Type 1 Diabetes Using Deep Learning on the Edge. - Taiyu Zhu; Lei Kuang; Kezhi Li; Junming Zeng; Pau Herrero; Pantelis Georgiou (ISCAS, 2021)

Is a cloud-based platform useful for diabetes management in Colombia? The Tidepool experience. - Fabian León-Vargas; Clare Martin 001; Maira García-Jaramillo; Arantza Aldea; Yenny Leal; Pau Herrero; Angie K. Reyes; Diana Henao; Ana María Gomez (Comput. Methods Programs Biomed., 2021)

Basal Glucose Control in Type 1 Diabetes Using Deep Reinforcement Learning: An In Silico Validation. - Taiyu Zhu; Kezhi Li; Pau Herrero; Pantelis Georgiou (IEEE J. Biomed. Health Informatics, 2021)

Deep Learning for Diabetes: A Systematic Review. - Taiyu Zhu; Kezhi Li; Pau Herrero; Pantelis Georgiou (IEEE J. Biomed. Health Informatics, 2021)

Enhancing self-management in type 1 diabetes with wearables and deep learning. - Taiyu Zhu; Chukwuma Uduku; Kezhi Li; Pau Herrero; Nick Oliver; Pantelis Georgiou (npj Digit. Medicine, 2022)

A Deep Learning Framework for Automatic Meal Detection and Estimation in Artificial Pancreas Systems. - John Daniels; Pau Herrero; Pantelis Georgiou (Sensors, 2022)

A Multitask Learning Approach to Personalized Blood Glucose Prediction. - John Daniels; Pau Herrero; Pantelis Georgiou (IEEE J. Biomed. Health Informatics, 2022)

Personalized Blood Glucose Prediction for Type 1 Diabetes Using Evidential Deep Learning and Meta-Learning. - Taiyu Zhu; Kezhi Li; Pau Herrero; Pantelis Georgiou (IEEE Trans. Biomed. Eng., 2023)

IoMT-Enabled Real-Time Blood Glucose Prediction With Deep Learning and Edge Computing. - Taiyu Zhu; Lei Kuang; John Daniels; Pau Herrero; Kezhi Li; Pantelis Georgiou (IEEE Internet Things J., 2023)

GluGAN: Generating Personalized Glucose Time Series Using Generative Adversarial Networks. - Taiyu Zhu; Kezhi Li; Pau Herrero; Pantelis Georgiou (IEEE J. Biomed. Health Informatics, 2023)