Genetically fine-tuning the Hough transform feature space, for the detection of circular objects. - John Yannis Goulermas; Panos Liatsis (Image Vis. Comput., 1998)

Incorporating Gradient Estimations in a Circle-Finding Probabilistic Hough Transform. - John Yannis Goulermas; Panos Liatsis (Pattern Anal. Appl., 1999)

A new parallel feature-based stereo-matching algorithm with figural continuity preservation, based on hybrid symbiotic genetic algorithms. - John Yannis Goulermas; Panos Liatsis (Pattern Recognit., 2000)

Identification of a neuroelectric system involving a single input and a single output. - Alexandros G. Rigas; Panos Liatsis (Signal Process., 2000)

Hybrid symbiotic genetic optimisation for robust edge-based stereo correspondence. - John Yannis Goulermas; Panos Liatsis (Pattern Recognit., 2001)

Recurrent pi-sigma networks for DPCM image coding. - Abir Jaafar Hussain; Panos Liatsis (Neurocomputing, 2003)

A collective-based adaptive symbiotic model for surface reconstruction in area-based stereo. - John Yannis Goulermas; Panos Liatsis (IEEE Trans. Evol. Comput., 2003)

Dynamic alignment system for an FT-NIR Michelson interferometer. - Dimitrios Kalamatianos; John M. Edmunds; Peter Wellstead; Ralph J. Houston; Panos Liatsis; Simon M. Christie; Richard J. Dewhurst; Maureen S. Thorniley (VECIMS, 2004)

A Constrained Nonlinear Energy Minimization Framework for the Regularization of the Stereo Correspondence Problem. - John Yannis Goulermas; Panos Liatsis; Terrence Fernando (IEEE Trans. Circuits Syst. Video Technol., 2005)

Near-infrared spectroscopic measurements of blood analytes using multi-layer perceptron neural networks. - Dimitrios Kalamatianos; Panos Liatsis; Peter E. Wellstead (EMBC, 2006)

Modelling Tactical Driving Manoeuvres with GA-INTACT. - Hissam Tawfik; Panos Liatsis (International Conference on Computational Science (3), 2006)

Editorial. - Panos Liatsis (Int. J. Pattern Recognit. Artif. Intell., 2006)

Estimation of the electromagnetic field radiating by electrostatic discharges using artificial neural networks. - Lambros Ekonomou; G. P. Fotis; T. I. Maris; Panos Liatsis (Simul. Model. Pract. Theory, 2007)

Density-Driven Generalized Regression Neural Networks (DD-GRNN) for Function Approximation. - John Yannis Goulermas; Panos Liatsis; Xiao-Jun Zeng; Phil Cook (IEEE Trans. Neural Networks, 2007)

Generalized Regression Neural Networks With Multiple-Bandwidth Sharing and Hybrid Optimization. - John Yannis Goulermas; Xiao-Jun Zeng; Panos Liatsis; Jason F. Ralph (IEEE Trans. Syst. Man Cybern. Part B, 2007)

Terrain-Based Navigation for Underwater Vehicles Using an Ultrasonic Scanning System. - John N. Lygouras; Vassilis Kodogiannis; Theodoros P. Pachidis; Panagiotis Liatsis (Adv. Robotics, 2008)

Physical time series prediction using Recurrent Pi-Sigma Neural Networks. - Abir Jaafar Hussain; Panos Liatsis; Hissam Tawfik; Atulya K. Nagar; Dhiya Al-Jumeily (Int. J. Artif. Intell. Soft Comput., 2008)

Automating the processing of cDNA microarray images. - Panos Liatsis; M. A. Nazarboland; John Yannis Goulermas; Xiao-Jun Zeng; Efstathios Milonidis (Int. J. Intell. Syst. Technol. Appl., 2008)

An intelligent systems framework for prototyping tactical driving decisions. - Hissam Tawfik; Panos Liatsis (Int. J. Intell. Syst. Technol. Appl., 2008)

Kernel regression networks with local structural information and covariance volume adaptation. - John Yannis Goulermas; Panos Liatsis; Xiao-Jun Zeng (Neurocomputing, 2008)

The application of ridge polynomial neural network to multi-step ahead financial time series prediction. - Rozaida Ghazali; Abir Jaafar Hussain; Panos Liatsis; Hissam Tawfik (Neural Comput. Appl., 2008)

Modeling of the grounding resistance variation using ARMA models. - Stylianos Sp. Pappas; Lambros Ekonomou; Panagiotis Karampelas; Sokratis K. Katsikas; Panos Liatsis (Simul. Model. Pract. Theory, 2008)

Hierarchical Fuzzy Systems for Function Approximation on Discrete Input Spaces With Application. - Xiao-Jun Zeng; John Yannis Goulermas; Panos Liatsis; Di Wang 001; John A. Keane (IEEE Trans. Fuzzy Syst., 2008)

An Instance-Based Algorithm With Auxiliary Similarity Information for the Estimation of Gait Kinematics From Wearable Sensors. - John Yannis Goulermas; Andrew H. Findlow; Christopher J. Nester; Panos Liatsis; Xiao-Jun Zeng; Laurence P. J. Kenney; Philip A. Tresadern; Sibylle B. Thies; David Howard (IEEE Trans. Neural Networks, 2008)

A flexible visual inspection system based on neural networks. - Panos Liatsis; John Yannis Goulermas; Xiao-Jun Zeng; Efstathios Milonidis (Int. J. Syst. Sci., 2009)

A New Robust Classification Method for CRM. - Xiaoyu Li; Changzheng He; Panos Liatsis (APWCS, 2010)

Automatic Segmentation of Conductivity Changes in Electrical Impedance Tomography Images. - Ali Zifan; Panos Liatsis; Panagiotis Kantartzis; Rubiel Vargas-Cañas (BIOSIGNALS, 2011)

EIT in Breast Cancer Imaging: Application to Patient-Specific Forward Model. - Montaserbellah Abdi; Panos Liatsis (DeSE, 2011)

Using Density based Score Fusion for Multimodal Identification Systems under the Missing Data Scenario. - Quang Duc Tran; Panos Liatsis; Bing Zhu 005; Changzheng He (DeSE, 2011)

Medical Image Deblurring via Lagrangian Pursuit in Frame Dictionaries. - Ali Zifan; Panos Liatsis (DeSE, 2011)

Automating the estimation of coating thickness measurements in the ball crater technique. - J. G. Huang; Panos Liatsis; Kevin Cooke; Dennis Teer (Image Processing: Machine Vision Applications, 2011)

On sparse forward solutions in non-stationary domains for the EIT imaging problem. - Panagiotis Kantartzis; Panos Liatsis (EMBC, 2011)

Dynamic Ridge Polynomial Neural Network: Forecasting the univariate non-stationary and stationary trading signals. - Rozaida Ghazali; Abir Jaafar Hussain; Panos Liatsis (Expert Syst. Appl., 2011)

A robust missing value imputation method for noisy data. - Bing Zhu 005; Changzheng He; Panos Liatsis (Appl. Intell., 2012)

A D-GMDH model for time series forecasting. - Mingzhu Zhang; Changzheng He; Panos Liatsis (Expert Syst. Appl., 2012)

A GMDH-based fuzzy modeling approach for constructing TS model. - Bing Zhu 005; Changzheng He; Panos Liatsis; Xiaoyu Li (Fuzzy Sets Syst., 2012)

Improving fusion with optimal weight selection in Face Recognition. - Tran Quang Duc; Panagiotis Kantartzis; Panos Liatsis (Integr. Comput. Aided Eng., 2012)

Identification of anatomic retinal structures for macular delineation in fluorescein angiograms. - Rubiel Vargas-Cañas; Panagiotis Kantartzis; Panos Liatsis (Integr. Comput. Aided Eng., 2012)

3-D Quantitative Vascular Shape Analysis for Arterial Bifurcations via Dynamic Tube Fitting. - Yin Wang; Panos Liatsis (IEEE Trans. Biomed. Eng., 2012)

Automatic Segmentation of Coronary Arteries in CT Imaging in the Presence of Kissing Vessel Artifacts. - Yin Wang; Panos Liatsis (IEEE Trans. Inf. Technol. Biomed., 2012)

User-Specific Fusion Using One-Class Classification for Multimodal Biometric Systems: Boundary Methods. - Quang Duc Tran; Panos Liatsis (DeSE, 2013)

A Modified Equal Error Rate Based User-Specific Normalization for Multimodal Biometrics. - Quang Duc Tran; Panos Liatsis (DeSE, 2013)

Signal processing techniques for detection of breast diseases. - Aura Conci; Ángel Sánchez 001; Panos Liatsis; Hisashi Usuki (Signal Process., 2013)

Stimulation and measurement patterns versus prior information for fast 3D EIT: A breast screening case study. - Panagiotis Kantartzis; Montaserbellah Abdi; Panos Liatsis (Signal Process., 2013)

Improving Fusion with One-Class Classification and Boosting in Multimodal Biometric Authentication. - Tran Quang Duc; Panos Liatsis (ICIC (3), 2014)

The impact of boundary conditions in patient-specific coronary blood flow simulation. - Alena Uus; Panos Liatsis; Ronak Rajani; Lidija Mandic (IWSSIP, 2014)

CAPTCHA Usability and Performance, How to Measure the Usability Level of Human Interactive Applications Quantitatively and Qualitatively? - Seyed Mohammad RezaSaadat Beheshti; Panos Liatsis (DeSE, 2015)

Automated Extraction of the Coronary Tree by Integrating Localized Aorta-Based Intensity Distribution Statistics in Active Contour Segmentation. - Muhammad Moazzam Jawaid; Panos Liatsis; Sanam Narejo (DeSE, 2015)

How humans can help computers to solve an artificial problem? - Seyed Mohammad RezaSaadat Beheshti; Panos Liatsis (IWSSIP, 2015)

VICAP: Using the mechanisms of trans-saccadic memory to distinguish between humans and machines. - Seyed Mohammad RezaSaadat Beheshti; Panos Liatsis (IWSSIP, 2015)

An automated image processing system for the detection of photoreceptor cells in adaptive optics retinal images. - Anfisa Lazareva; Panos Liatsis; Franziska G. Rauscher (IWSSIP, 2015)

Evaluation of MEMS sensors accuracy for bicycle tracking and positioning. - Shahjahan Miah; Ioannis Kaparias; Panos Liatsis (IWSSIP, 2015)

Design of multidimensional sensor fusion system for road pavement inspection. - Shahjahan Miah; Alena Uus; Panos Liatsis; Sam Roberts; Stephen Twist; Maud Hovens; Hans Godding (IWSSIP, 2015)

Assessment of stenosis introduced flow resistance in CCTA-reconstructed coronary arteries. - Alena Uus; Panos Liatsis; Muhammad Moazzam Jawaid; Ronak Rajani; Elena N. Benderskaya (IWSSIP, 2015)

Optimisation of transducer positioning in air-coupled ultrasound inspection of concrete/asphalt structures. - Alena Uus; Panos Liatsis; Giuseppe Nardoni; Enayet Rahman (IWSSIP, 2015)

Design of a 0D Image-Based Coronary Blood Flow Model. - Alena Uus; Panos Liatsis (DeSE, 2016)

Trend deviation analysis for automated detection of defects in GPR data for road condition surveys. - Alena Uus; Panos Liatsis; Gregory G. Slabaugh; Athanasios Anagnostis; Sam Roberts; Stephen Twist (IWSSIP, 2016)

The influence of vessel segmentation threshold on the accuracy of patient-specific coronary blood flow simulations. - Alena Uus; Panos Liatsis; Ronak Rajani (MWSCAS, 2016)

Patient-Specific Computational Models of Coronary Arteries Using Monoplane X-Ray Angiograms. - Ali Zifan; Panos Liatsis (Comput. Math. Methods Medicine, 2016)

RABOC: An approach to handle class imbalance in multimodal biometric authentication. - Quang Duc Tran; Panos Liatsis (Neurocomputing, 2016)

Improved CTA Coronary Segmentation with a Volume-Specific Intensity Threshold. - Muhammad Moazzam Jawaid; Ronak Rajani; Panos Liatsis; Constantino Carlos Reyes-Aldasoro; Greg G. Slabaugh (MIUA, 2017)

Machine learning in the prediction of cardiac epicardial and mediastinal fat volumes. - Érick Oliveira Rodrigues; V. H. A. Pinheiro; Panos Liatsis; Aura Conci (Comput. Biol. Medicine, 2017)

Automated recognition of the pericardium contour on processed CT images using genetic algorithms. - Érick Oliveira Rodrigues; Lucas O. Rodrigues; L. S. N. Oliveira; Aura Conci; Panos Liatsis (Comput. Biol. Medicine, 2017)

A hybrid energy model for region based curve evolution - Application to CTA coronary segmentation. - Muhammad Moazzam Jawaid; Ronak Rajani; Panos Liatsis; Constantino Carlos Reyes-Aldasoro; Gregory G. Slabaugh (Comput. Methods Programs Biomed., 2017)

A CAPTCHA model based on visual psychophysics: Using the brain to distinguish between human users and automated computer bots. - Seyed Mohammad RezaSaadat Beheshti; Panos Liatsis; Muttukrishnan Rajarajan (Comput. Secur., 2017)

k-MS: A novel clustering algorithm based on morphological reconstruction. - Érick Oliveira Rodrigues; Leonardo Torok; Panos Liatsis; José Viterbo; Aura Conci (Pattern Recognit., 2017)

Computation of heterogeneous object co-embeddings from relational measurements. - Yu Wu 004; Tingting Mu; Panos Liatsis; John Yannis Goulermas (Pattern Recognit., 2017)

Analyzing Learners Behavior in MOOCs: An Examination of Performance and Motivation Using a Data-Driven Approach. - Raghad Al-Shabandar; Abir Jaafar Hussain; Panos Liatsis; Robert Keight (IEEE Access, 2018)

A Dynamic Neural Network Architecture with Immunology Inspired Optimization for Weather Data Forecasting. - Abir Jaafar Hussain; Panos Liatsis; Mohammed Khalaf 001; Hissam Tawfik; Haya Al-Askar (Big Data Res., 2018)

Fractal triangular search: a metaheuristic for image content search. - Érick Oliveira Rodrigues; Panos Liatsis; Luiz Satoru Ochi; Aura Conci (IET Image Process., 2018)

Morphological classifiers. - Érick Oliveira Rodrigues; Aura Conci; Panos Liatsis (Pattern Recognit., 2018)

Classification of Space Objects Using Machine Learning Methods. - Mahmoud Khalil; Elena Fantino; Panos Liatsis (CogMI, 2019)

A neural network-based local decomposition approach for image reconstruction in Electrical Impedance Tomography. - Zainab Husain; Panos Liatsis (IST, 2019)

Evaluation of Oversampling Strategies in Machine Learning for Space Debris Detection. - Mahmoud Khalil; Elena Fantino; Panos Liatsis (IST, 2019)

A Task Scheduling Algorithm With Improved Makespan Based on Prediction of Tasks Computation Time algorithm for Cloud Computing. - Belal Ali Al-Maytami; Pingzhi Fan; Abir Hussain; Thar Baker; Panos Liatsis (IEEE Access, 2019)

Detecting At-Risk Students With Early Interventions Using Machine Learning Techniques. - Raghad Al-Shabandar; Abir Jaafar Hussain; Panos Liatsis; Robert Keight (IEEE Access, 2019)

Corrigendum to "A Dynamic Neural Network Architecture with Immunology Inspired Optimization for Weather Data Forecasting" [Big Data Research 14 (2018) 81-92]. - Abir Jaafar Hussain; Panos Liatsis; Mohammed Khalaf 001; Hissam Tawfik; Haya Al-Askar (Big Data Res., 2019)

Realistic forward and inverse model mesh generation for rapid three-dimensional thoracic electrical impedance imaging. - Ali Zifan; Panos Liatsis; Hasan Al-Marzouqi (Comput. Biol. Medicine, 2019)

Application of Convolutional Neural Networks for Automated Ulcer Detection in Wireless Capsule Endoscopy Images. - Haya Alaskar; Abir Hussain; Nourah Alaseem; Panos Liatsis; Dhiya Al-Jumeily (Sensors, 2019)

Object Segmentation In Electrical Impedance Tomography For Tactile Sensing. - Nadya Abdel Madjid; Panos Liatsis (ICIP, 2020)

Learning to "see" Touch. - Panos Liatsis (IWSSIP, 2020)

ROI Extraction in Thermographic Breast Images Using Genetic Algorithms. - L. C. Mendes; Érick Oliveira Rodrigues; Sandro C. Izidoro; Aura Conci; Panos Liatsis (IWSSIP, 2020)

Traffic4cast at NeurIPS 2020 ? yet more on theunreasonable effectiveness of gridded geo-spatial processes. - Michael Kopp 001; David P. Kreil; Moritz Neun; David Jonietz; Henry Martin; Pedro Herruzo; Aleksandra Gruca; Ali Soleymani; Fanyou Wu; Yang Liu 253; Jingwei Xu; Jianjin Zhang; et al. (NeurIPS (Competition and Demos), 2020)

IoT-Enabled Flood Severity Prediction via Ensemble Machine Learning Models. - Mohammed Khalaf 001; Haya Alaskar; Abir Jaafar Hussain; Thar Baker; Zakaria Maamar; Rajkumar Buyya; Panos Liatsis; Wasiq Khan; Hissam Tawfik; Dhiya Al-Jumeily (IEEE Access, 2020)

An efficient queries processing model based on Multi Broadcast Searchable Keywords Encryption (MBSKE). - Belal Ali Al-Maytami; Pingzhi Fan; Abir Jaafar Hussain; Thar Baker; Panos Liatsis (Ad Hoc Networks, 2020)

Traffic flow prediction using Deep Sedenion Networks. - Alabi Bojesomo; Panos Liatsis; Hasan Al-Marzouqi (CoRR, 2020)

Proposal and study of statistical features for string similarity computation and classification. - Érick Oliveira Rodrigues; Dalcimar Casanova; Marcelo Teixeira; Vinicius Pegorini; Fábio Favarim; Esteban Walter Gonzalez Clua; Aura Conci; Panos Liatsis (Int. J. Data Min. Model. Manag., 2020)

A data science approach for reliable classification of neuro-degenerative diseases using gait patterns. - Haya Alaskar; Abir Jaafar Hussain; Wasiq Khan; Hissam Tawfik; Pip Trevorrow; Panos Liatsis; Zohra Sbaï (J. Reliab. Intell. Environ., 2020)

A new machine learning based approach to predict Freezing of Gait. - Natasa Kleanthous; Abir Jaafar Hussain; Wasiq Khan; Panos Liatsis (Pattern Recognit. Lett., 2020)

Lossy and Lossless Video Frame Compression: A Novel Approach for High-Temporal Video Data Analytics. - Zaynab Ahmed; Abir Jaafar Hussain; Wasiq Khan; Thar Baker; Haya Al-Askar; Janet Lunn; Raghad Al-Shabandar; Dhiya Al-Jumeily; Panos Liatsis (Remote. Sens., 2020)

ELEMENT: Multi-Modal Retinal Vessel Segmentation Based on a Coupled Region Growing and Machine Learning Approach. - Érick O. Rodrigues; Aura Conci; Panos Liatsis (IEEE J. Biomed. Health Informatics, 2020)

Performance-Based Prediction of Chronic Kidney Disease Using Machine Learning for High-Risk Cardiovascular Disease Patients. - Mohamed Alloghani; Dhiya Al-Jumeily; Abir Hussain; Panagiotis Liatsis; Ahmed J. Aljaaf (Nature-Inspired Computation in Data Mining and Machine Learning, 2020)

Spatiotemporal Vision Transformer for Short Time Weather Forecasting. - Alabi Bojesomo; Hasan Al-Marzouqi; Panos Liatsis (IEEE BigData, 2021)

Spatiotemporal Swin-Transformer Network for Short Time Weather Forecasting. - Alabi Bojesomo; Hasan Al-Marzouqi; Panos Liatsis (CIKM Workshops, 2021)

Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. - Christian Eichenberger; Moritz Neun; Henry Martin; Pedro Herruzo; Markus Spanring; Yichao Lu; Sungbin Choi; Vsevolod Konyakhin; Nina Lukashina; Aleksei Shpilman; Nina Wiedemann; Martin Raubal; et al. (NeurIPS (Competition and Demos), 2021)

Political Arabic Articles Orientation Using Rough Set Theory With Sentiment Lexicon. - Jwan K. Alwan; Abir Jaafar Hussain; Dhafar Hamed Abd; Ahmed Tariq Sadiq; Mohammed Khalaf 001; Panos Liatsis (IEEE Access, 2021)

Predicting Disaster Type from Social Media Imagery via Deep Neural Networks Directed by Visual Attention. - Shatheesh Kumar Govindarajulu; Megan Watson; Sulaf Assi; Manoj Jayabalan; Panagiotis Liatsis; Jamila Mustafina; Normaiza Mohamad; Kdasy Al-Muni; Dhiya Al-Jumeily Obe (DaSET, 2022)

Autonomous Driving Through Road Segmentation Based on Computer Vision Techniques. - Aditi Jain; Matthew Harper; Manoj Jayabalan; Jamila Mustafina; Wasiq Khan; Panagiotis Liatsis; Noor Lees Ismail; Dhiya Al-Jumeily (DaSET, 2022)

Evaluation of Extractive and Abstract Methods in Text Summarization. - Ranjita Kumari Biswal Lenka; Thomas Coombs; Sulaf Assi; Manoj Jayabalan; Jamila Mustafina; Panagiotis Liatsis; Abdullah Al-Hamid; Sahar Al-Sudani; Noor Lees Ismail; Dhiya Al-Jumeily Obe (DaSET, 2022)

Consumer Behavior Prediction During Covid-19 Pandemic Conditions Using Sentiment Analytics. - Saravanan Murugan; Sulaf Assi; Abbas Saad Alatrany; Manoj Jayabalan; Panagiotis Liatsis; Jamila Mustafina; Abdullah Al-Hamid; Maitham G. Yousif; Ahmed Kaky; Danny Ngo Lung Yao; Dhiya Al-Jumeily Obe (DaSET, 2022)

Insurance Risk Prediction Using Machine Learning. - Rahul Sahai; Ali Al-Ataby; Sulaf Assi; Manoj Jayabalan; Panagiotis Liatsis; Chong Kim Loy; Abdullah Al-Hamid; Sahar Al-Sudani; Maitham Alamran; Hoshang Kolivand (DaSET, 2022)

Loan Default Forecasting Using StackNet. - Saket Satpute; Manoj Jayabalan; Hoshang Kolivand; Jolnar Assi; Omar A. Aldhaibani; Panagiotis Liatsis; Paridah Daud; Ali Al-Ataby; Wasiq Khan; Ahmed Kaky; Sahar Al-Sudani; Mohamed Mahyoub (DaSET, 2022)

Well Log Data Preparation and Effective Utilization of Drilling Parameters Using Data Science Based Approaches. - Rhul Talreja; Thomas Coombs; Sulaf Assi; Noor Azma Ismail; Manoj Jayabalan; Panagiotis Liatsis; Mohamed Mahyoub; Abdullah Al-Hamid; Hoshang Kolivand (DaSET, 2022)

Towards Identification of Appliances in Conventional Homes using ML and Descriptive Statistics. - Hajer Alyammahi; Panos Liatsis (ISC2, 2022)

Non-Intrusive Appliance Identification Using Machine Learning and Time-Domain Features. - Hajer Alyammahi; Panos Liatsis (IWSSIP, 2022)

SwinUNet3D - A Hierarchical Architecture for Deep Traffic Prediction using Shifted Window Transformers. - Alabi Bojesomo; Hasan Al-Marzouqi; Panos Liatsis (CoRR, 2022)

Self-Validated Physics-Embedding Network: A General Framework for Inverse Modelling. - Ruiyuan Kang; Dimitrios C. Kyritsis; Panos Liatsis (CoRR, 2022)

Realizing Flame State Monitoring with Very Few Visual or Infrared Images via Few-Shot Learning. - Ruiyuan Kang; Panos Liatsis; Dimitrios C. Kyritsis (CoRR, 2022)

Spatially-resolved Thermometry from Line-of-Sight Emission Spectroscopy via Machine Learning. - Ruiyuan Kang; Dimitrios C. Kyritsis; Panos Liatsis (CoRR, 2022)

Deep transfer learning in sheep activity recognition using accelerometer data. - Natasa Kleanthous; Abir Hussain; Wasiq Khan; Jennifer Sneddon; Panos Liatsis (Expert Syst. Appl., 2022)

Locally weighted classifiers for detection of neighbor discovery protocol distributed denial-of-service and replayed attacks. - Abeer Abdullah Alsadhan; Abir Hussain; Panos Liatsis; Mohammed M. Alani; Hissam Tawfik; Phillip Kendrick; Hulya Francis (Trans. Emerg. Telecommun. Technol., 2022)

A survey of machine learning approaches in animal behaviour. - Natasa Kleanthous; Abir Jaafar Hussain; Wasiq Khan; Jennifer Sneddon; Ahmed Al-Shamma'a; Panos Liatsis (Neurocomputing, 2022)

Local-Sensitive Connectivity Filter (LS-CF): A Post-Processing Unsupervised Improvement of the Frangi, Hessian and Vesselness Filters for Multimodal Vessel Segmentation. - Érick Oliveira Rodrigues; Lucas O. Rodrigues; João H. P. Machado; Dalcimar Casanova; Marcelo Teixeira; Jeferson T. Oliva; Giovani Bernardes Vitor; Panos Liatsis (J. Imaging, 2022)

Multi-Label Retinal Disease (MuReD) Dataset. - Manuel Alejandro Rodriguez Rivera; Hasan Al-Marzouqi; Panagiotis Liatsis (IEEE DataPort, 2022)

Semantic Segmentation and Depth Estimation of Urban Road Scene Images Using Multi-Task Networks. - Mohamed Mahyoub; Friska Natalia; Sud Sudirman; Abdulmajeed Hammadi Jasim Al-Jumaily; Panos Liatsis (DeSE, 2023)

Brain Tumor Segmentation in Fluid-Attenuated Inversion Recovery Brain MRI using Residual Network Deep Learning Architectures. - Mohamed Mahyoub; Friska Natalia; Sud Sudirman; Abdulmajeed Hammadi Jasim Al-Jumaily; Panos Liatsis (DeSE, 2023)

Data Augmentation Using Generative Adversarial Networks to Reduce Data Imbalance with Application in Car Damage Detection. - Mohamed Mahyoub; Friska Natalia; Sud Sudirman; Panos Liatsis; Abdulmajeed Hammadi Jasim Al-Jumaily (DeSE, 2023)

Physics-Driven ML-Based Modelling for Correcting Inverse Estimation. - Ruiyuan Kang; Tingting Mu; Panagiotis Liatsis; Dimitrios C. Kyritsis (NeurIPS, 2023)

EEE, Remediating the failure of machine learning models via a network-based optimization patch. - Ruiyuan Kang; Dimitrios C. Kyritsis; Panos Liatsis (CoRR, 2023)

Marine Debris Segmentation Using a Parameter Efficient Octonion-Based Architecture. - Alabi Bojesomo; Panos Liatsis; Hasan Al-Marzouqi (IEEE Geosci. Remote. Sens. Lett., 2023)

Multi-Label Retinal Disease Classification Using Transformers. - Manuel Alejandro Rodriguez Rivera; Hasan Al-Marzouqi; Panos Liatsis (IEEE J. Biomed. Health Informatics, 2023)

Convolutional Neural Network With Learnable Masks For EIT Based Tactile Sensing. - Ibrar Amin; Ruiyuan Kang; Hasan Al-Marzouqi; Zeyar Aung; Panos Liatsis (ICIP, 2024)

A generative approach to Electrical Impedance Tomography image reconstruction using prior information. - Hongxi Zhu; Dhiya Al-Jumeily; Panos Liatsis (IWSSIP, 2024)

A Quadruple-Sweep Bioimpedance Sensing Method for Arterial Stenosis Detection. - Enayetur Rahman; Panos Liatsis; Zaheer Q. Hashim; Panayiotis A. Kyriacou; Iasonas F. Triantis (IEEE Access, 2024)

Physics-Driven AI Correction in Laser Absorption Sensing Quantification. - Ruiyuan Kang; Panos Liatsis; Meixia Geng; Qingjie Yang (CoRR, 2024)

A Novel Transformer Network With Shifted Window Cross-Attention for Spatiotemporal Weather Forecasting. - Alabi Bojesomo; Hasan Al-Marzouqi; Panos Liatsis (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Deep Hypercomplex Networks for Spatiotemporal Data Processing: Parameter efficiency and superior performance [Hypercomplex Signal and Image Processing]. - Alabi Bojesomo; Panos Liatsis; Hasan Al-Marzouqi (IEEE Signal Process. Mag., 2024)

LHU-VT: A Lightweight Hypercomplex U-Net with Vessel Thickness-Guided Dice Loss for retinal vessel segmentation. - Waqar Ahmed; Panos Liatsis (Comput. Biol. Medicine, 2025)

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction. - Shuaikai Shi; Ruiyuan Kang; Panos Liatsis (IEEE Trans. Instrum. Meas., 2025)

Adaptive iterated local search algorithm for dynamic patient admission scheduling problems. - Ayad Turky; Nasser R. Sabar; Andy Song; Abir Hussain; Panos Liatsis (Soft Comput., 2025)

Physics-Driven Anomaly Detection and Correction for Spectroscopic Parameter Estimation. - Ruiyuan Kang; Panos Liatsis (IEEE Trans. Neural Networks Learn. Syst., 2025)

Enhancing CCTA image quality: a review of deep learning approaches for advanced artifact correction and denoising. - Mohanad Alkhodari; Eman Alefishat; Herbert F. Jelinek; Ahmed Kaabneh; Panos Liatsis (Artif. Intell. Rev., 2025)