Tumor Recognition in Endoscopic Video Images Using Artificial Neural Network Architectures. - S. A. Karkanis; Dimitrios K. Iakovidis; Dimitrios E. Maroulis; Nikiforos G. Theofanous; George D. Magoulas (EUROMICRO, 2000)

Detection of lesions in endoscopic video using textural descriptors on wavelet domain supported by artificial neural network. - Stavros A. Karkanis; Dimitrios K. Iakovidis; Dimitrios E. Maroulis; Dimitris A. Karras (ICIP (2), 2001)

Evaluation of textural feature extraction schemes for neural network-based interpretation of regions in medical images. - Stavros A. Karkanis; George D. Magoulas; Dimitrios K. Iakovidis; Dimitrios E. Maroulis; Dimitris A. Karras (ICIP (1), 2001)

Color Texture Recognition in Video Sequences using Wavelet Covariance Features and Support Vector Machines. - Dimitrios K. Iakovidis; Dimitrios E. Maroulis; S. A. Karkanis; Ilias N. Flaounas (EUROMICRO, 2003)

CoLD: a versatile detection system for colorectal lesions in endoscopy video-frames. - Dimitrios E. Maroulis; Dimitrios K. Iakovidis; Stavros A. Karkanis; Dimitris A. Karras (Comput. Methods Programs Biomed., 2003)

Computer-aided tumor detection in endoscopic video using color wavelet features. - S. A. Karkanis; Dimitrios K. Iakovidis; Dimitrios E. Maroulis; Dimitris A. Karras; M. Tzivras (IEEE Trans. Inf. Technol. Biomed., 2003)

Color textural features under varying illumination. - Stavros A. Karkanis; Dimitrios K. Iakovidis; Dimitrios E. Maroulis (ICIP, 2004)

An FPGA-Based Architecture for Real Time Image Feature Extraction. - Dimitris G. Bariamis; Dimitrios K. Iakovidis; Dimitrios E. Maroulis; S. A. Karkanis (ICPR (1), 2004)

Συλλογή και επεξεργασία πολυκαναλικών ιατρικών δεδομένων - Dimitrios K. Iakovidis (2004)

A Comparative Study of Texture Features for the Discrimination of Gastric Polyps in Endoscopic Video. - Dimitrios K. Iakovidis; Dimitrios E. Maroulis; Stavros A. Karkanis; A. Brokos (CBMS, 2005)

Computer-Aided Thyroid Nodule Detection in Ultrasound Images. - Dimitrios E. Maroulis; Michalis A. Savelonas; Stavros A. Karkanis; Dimitrios K. Iakovidis; Nikolaos Dimitropoulos (CBMS, 2005)

A variable background active contour model for automatic detection of thyroid nodules in ultrasound images. - Michalis A. Savelonas; Dimitrios E. Maroulis; Dimitrios K. Iakovidis; Stavros A. Karkanis; Nikolaos Dimitropoulos (ICIP (1), 2005)

Dedicated Hardware for Real-Time Computation of Second-Order Statistical Features for High Resolution Images. - Dimitris G. Bariamis; Dimitrios K. Iakovidis; Dimitrios E. Maroulis (ACIVS, 2006)

An Active Contour Model Guided by LBP Distributions. - Michalis A. Savelonas; Dimitrios K. Iakovidis; Dimitrios E. Maroulis; Stavros A. Karkanis (ACIVS, 2006)

MetaOn - Ontology Driven Metadata Construction and Management for Intelligent Search in Text and Image Collections. - Haralampos Karanikas; Nikos Pelekis; Dimitrios K. Iakovidis; Ioannis Kopanakis; Thomas Mavroudakis; Yannis Theodoridis (DEXA Workshops, 2006)

Segmentation of Medical Images with Regional Inhomogeneities. - Dimitrios K. Iakovidis; Michalis A. Savelonas; S. A. Karkanis; Dimitrios E. Maroulis (ICPR (3), 2006)

An LBP-Based Active Contour Algorithm for Unsupervised Texture Segmentation. - Michalis A. Savelonas; Dimitrios K. Iakovidis; Dimitrios E. Maroulis (ICPR (2), 2006)

A gene expression analysis system for medical diagnosis. - Dimitrios E. Maroulis; Dimitrios K. Iakovidis; Ilias N. Flaounas; Stavros A. Karkanis (AIAI, 2006)

An intelligent system for automatic detection of gastrointestinal adenomas in video endoscopy. - Dimitrios K. Iakovidis; Dimitrios E. Maroulis; Stavros A. Karkanis (Comput. Biol. Medicine, 2006)

Microarray-MD: A system for exploratory analysis of microarray gene expression data. - Dimitrios E. Maroulis; Ilias N. Flaounas; Dimitrios K. Iakovidis; Stavros A. Karkanis (Comput. Methods Programs Biomed., 2006)

Cascading SVMS as a Tool for Medical Diagnosis Using Multi-class Gene Expression Data. - Ilias N. Flaounas; Dimitrios K. Iakovidis; Dimitrios E. Maroulis (Int. J. Artif. Intell. Tools, 2006)

A High-Performance Imaging and Control System for a Micromirror-Based Laser-Scanning Endoscope Device. - Panagiotis Papageorgas; Dimitris Maroulis; Giorgos Anagnostopoulos; Hansjörg Albrecht; Bernd Wagner; Dimitrios K. Iakovidis; Nikiforos G. Theofanous (IEEE Trans. Instrum. Meas., 2006)

Adaptive Vision System for Segmentation of Echographic Medical Images Based on a Modified Mumford-Shah Functional. - Dimitrios K. Iakovidis; Michalis A. Savelonas; Dimitris Maroulis (ACIVS, 2007)

Computational Characterization of Thyroid Tissue in the Radon Domain. - Michalis A. Savelonas; Dimitrios K. Iakovidis; Nikolaos Dimitropoulos; Dimitrios E. Maroulis (CBMS, 2007)

Efficient and Effective Ultrasound Image Analysis Scheme for Thyroid Nodule Detection. - Eystratios G. Keramidas; Dimitrios K. Iakovidis; Dimitris Maroulis; Stavros A. Karkanis (ICIAR, 2007)

Bimodal Texture Segmentation with the Lee-Seo Model. - Michalis A. Savelonas; Dimitrios K. Iakovidis; Dimitris Maroulis (ICIAR, 2007)

A genetically optimized level set approach to segmentation of thyroid ultrasound images. - Dimitrios K. Iakovidis; Michalis A. Savelonas; Stavros A. Karkanis; Dimitrios E. Maroulis (Appl. Intell., 2007)

FPGA architecture for fast parallel computation of co-occurrence matrices. - Dimitrios K. Iakovidis; Dimitrios E. Maroulis; Dimitris G. Bariamis (Microprocess. Microsystems, 2007)

Variable Background Active Contour Model for Computer-Aided Delineation of Nodules in Thyroid Ultrasound Images. - Dimitrios E. Maroulis; Michalis A. Savelonas; Dimitrios K. Iakovidis; Stavros A. Karkanis; Nikolaos Dimitropoulos (IEEE Trans. Inf. Technol. Biomed., 2007)

Intuitionistic Fuzzy Clustering with Applications in Computer Vision. - Dimitrios K. Iakovidis; Nikos Pelekis; Evangelos E. Kotsifakos; Ioannis Kopanakis (ACIVS, 2008)

Automatic DNA microarray gridding based on Support Vector Machines. - Dimitris G. Bariamis; Dimitris Maroulis; Dimitrios K. Iakovidis (BIBE, 2008)

Versatile approximation of the lung field boundaries in chest radiographs in the presence of bacterial pulmonary infections. - Dimitrios K. Iakovidis (BIBE, 2008)

Automatic frame reduction of Wireless Capsule Endoscopy video. - Spyros Tsevas; Dimitrios K. Iakovidis; Dimitrios E. Maroulis; Emmanuel Pavlakis (BIBE, 2008)

Thyroid Texture Representation via Noise Resistant Image Features. - Eystratios G. Keramidas; Dimitrios K. Iakovidis; Dimitris Maroulis; Nikos Dimitropoulos (CBMS, 2008)

Noise-robust statistical feature distributions for texture analysis. - Eystratios G. Keramidas; Dimitrios K. Iakovidis; Dimitrios E. Maroulis (EUSIPCO, 2008)

Fuzzy Local Binary Patterns for Ultrasound Texture Characterization. - Dimitrios K. Iakovidis; Eystratios G. Keramidas; Dimitris Maroulis (ICIAR, 2008)

Computer-Aided Malignancy Risk Assessment of Nodules in Thyroid US Images Utilizing Boundary Descriptors. - Michalis A. Savelonas; Dimitris Maroulis; Dimitrios K. Iakovidis; Nikos Dimitropoulos (Panhellenic Conference on Informatics, 2008)

Non-negative Matrix Factorization for Endoscopic Video Summarization. - Spyros Tsevas; Dimitrios K. Iakovidis; Dimitris Maroulis; Emmanuel Pavlakis; Andreas Polydorou (SETN, 2008)

Fuzzy clustering of intuitionistic fuzzy data. - Nikos Pelekis; Dimitrios K. Iakovidis; Evangelos E. Kotsifakos; Ioannis Kopanakis (Int. J. Bus. Intell. Data Min., 2008)

LBP-guided active contours. - Michalis A. Savelonas; Dimitrios K. Iakovidis; Dimitris Maroulis (Pattern Recognit. Lett., 2008)

FPGA-based System for Real-Time Video Texture Analysis. - Dimitrios E. Maroulis; Dimitrios K. Iakovidis; Dimitris G. Bariamis (J. Signal Process. Syst., 2008)

Mining Patterns of Lung Infections in Chest Radiographs. - Spyros Tsevas; Dimitrios K. Iakovidis; George Papamichalis (AIAI, 2009)

A Pattern Similarity Scheme for Medical Image Retrieval. - Dimitrios K. Iakovidis; Nikos Pelekis; Evangelos E. Kotsifakos; Ioannis Kopanakis; Haralampos Karanikas; Yannis Theodoridis (IEEE Trans. Inf. Technol. Biomed., 2009)

Active Contours Guided by Echogenicity and Texture for Delineation of Thyroid Nodules in Ultrasound Images. - Michalis A. Savelonas; Dimitrios K. Iakovidis; Ioannis Legakis; Dimitris Maroulis (IEEE Trans. Inf. Technol. Biomed., 2009)

Fusion of fuzzy statistical distributions for classification of thyroid ultrasound patterns. - Dimitrios K. Iakovidis; Eystratios G. Keramidas; Dimitris Maroulis (Artif. Intell. Medicine, 2010)

M3G: Maximum Margin Microarray Gridding. - Dimitris G. Bariamis; Dimitrios K. Iakovidis; Dimitris Maroulis (BMC Bioinform., 2010)

Unsupervised SVM-based gridding for DNA microarray images. - Dimitris G. Bariamis; Dimitris Maroulis; Dimitrios K. Iakovidis (Comput. Medical Imaging Graph., 2010)

Reduction of capsule endoscopy reading times by unsupervised image mining. - Dimitrios K. Iakovidis; Spyros Tsevas; Andreas Polydorou (Comput. Medical Imaging Graph., 2010)

Adaptable, Fast, Area-Efficient Architecture for Logarithm Approximation with Arbitrary Accuracy on FPGA. - Dimitris G. Bariamis; Dimitris Maroulis; Dimitrios K. Iakovidis (J. Signal Process. Syst., 2010)

Intuitionistic fuzzy reasoning with cognitive maps. - Dimitrios K. Iakovidis; Elpiniki I. Papageorgiou (FUZZ-IEEE, 2011)

Intuitionistic Fuzzy Cognitive Maps for Medical Decision Making. - Dimitrios K. Iakovidis; Elpiniki I. Papageorgiou (IEEE Trans. Inf. Technol. Biomed., 2011)

Ontology-Based Automatic Image Annotation Exploiting Generalized Qualitative Spatial Semantics. - Christos V. Smailis; Dimitrios K. Iakovidis (SETN, 2012)

ΤND: A Thyroid Nodule Detection System for Analysis of Ultrasound Images and Videos. - Eystratios G. Keramidas; Dimitris Maroulis; Dimitrios K. Iakovidis (J. Medical Syst., 2012)

Image Analysis Framework for Infection Monitoring. - Dimitrios K. Iakovidis; Spyros Tsevas; Michalis A. Savelonas; George Papamichalis (IEEE Trans. Biomed. Eng., 2012)

Efficient homography-based video visualization for wireless capsule endoscopy. - Dimitrios K. Iakovidis; Evaggelos Spyrou; Dimitris Diamantis (BIBE, 2013)

Capsule endoscope localization based on visual features. - Dimitrios K. Iakovidis; Evaggelos Spyrou; Dimitris Diamantis; Ilias Tsiompanidis (BIBE, 2013)

Panoramic Visual Summaries for Efficient Reading of Capsule Endoscopy Videos. - Evaggelos Spyrou; Dimitris Diamantis; Dimitrios K. Iakovidis (SMAP, 2013)

Intuitionistic Fuzzy Cognitive Maps. - Elpiniki I. Papageorgiou; Dimitrios K. Iakovidis (IEEE Trans. Fuzzy Syst., 2013)

Automatic lesion detection in wireless capsule endoscopy - A simple solution for a complex problem. - Dimitrios K. Iakovidis; Anastasios Koulaouzidis (ICIP, 2014)

Blood detection in wireless capsule endoscope images based on salient superpixels. - Dimitrios K. Iakovidis; Dimitris Chatzis; Panos Chrysanthopoulos; Anastasios Koulaouzidis (EMBC, 2015)

Robust capsule endoscopy lesion quantification and localization systems. - Anastasios Koulaouzidis; Dimitrios K. Iakovidis (Comput. Biol. Medicine, 2015)

Comparative assessment of feature extraction methods for visual odometry in wireless capsule endoscopy. - Evaggelos Spyrou; Dimitrios K. Iakovidis; Stavros Niafas; Anastasios Koulaouzidis (Comput. Biol. Medicine, 2015)

Weakly-Supervised Lesion Detection in Video Capsule Endoscopy Based on a Bag-of-Colour Features Model. - Michael Vasilakakis; Dimitrios K. Iakovidis; Evaggelos Spyrou; Anastasios Koulaouzidis (CARE@MICCAI, 2016)

Wavelet-based signal analysis for heart failure hospitalization prediction. - Dimitrios K. Iakovidis; Dimitra Douska; Evaggelia Barba; George Koulaouzidis (pHealth, 2016)

Visual Localization of Wireless Capsule Endoscopes Aided by Artificial Neural Networks. - George Dimas; Dimitrios K. Iakovidis; Gastone Ciuti; Alexandros Karargyris; Anastasios Koulaouzidis (CBMS, 2017)

Beyond Lesion Detection: Towards Semantic Interpretation of Endoscopy Videos. - Michael D. Vasilakakis; Dimitrios K. Iakovidis; Evaggelos Spyrou; Dimitris Chatzis; Anastasios Koulaouzidis (EANN, 2017)

Intelligent visual localization of wireless capsule endoscopes enhanced by color information. - George Dimas; Evaggelos Spyrou; Dimitrios K. Iakovidis; Anastasios Koulaouzidis (Comput. Biol. Medicine, 2017)

Investigating Cross-Dataset Abnormality Detection in Endoscopy with A Weakly-Supervised Multiscale Convolutional Neural Network. - Dimitris Diamantis; Dimitrios K. Iakovidis; Anastasios Koulaouzidis (ICIP, 2018)

DINOSARC: Color Features Based on Selective Aggregation of Chromatic Image Components for Wireless Capsule Endoscopy. - Michael D. Vasilakakis; Dimitrios K. Iakovidis; Evaggelos Spyrou; Anastasios Koulaouzidis (Comput. Math. Methods Medicine, 2018)

IntraClusTSP - An Incremental Intra-Cluster Refinement Heuristic Algorithm for Symmetric Travelling Salesman Problem. - László Kovács; László Barna Iantovics; Dimitrios K. Iakovidis (Symmetry, 2018)

Detecting and Locating Gastrointestinal Anomalies Using Deep Learning and Iterative Cluster Unification. - Dimitrios K. Iakovidis; Spiros V. Georgakopoulos; Michael Vasilakakis; Anastasios Koulaouzidis; Vassilis P. Plagianakos (IEEE Trans. Medical Imaging, 2018)

Towards the Substitution of Real with Artificially Generated Endoscopic Images for CNN Training. - Dimitris Diamantis; Athena Zacharia; Dimitrios K. Iakovidis; Anastasios Koulaouzidis (BIBE, 2019)

MedGaze: Gaze Estimation on WCE Images Based on a CNN Autoencoder. - George Dimas; Dimitrios K. Iakovidis; Anastasios Koulaouzidis (BIBE, 2019)

Bone Fracture Identification in X-Ray Images using Fuzzy Wavelet Features. - Michael Vasilakakis; Varvara Iosifidou; Panagiota Fragkaki; Dimitrios K. Iakovidis (BIBE, 2019)

Staircase Detection Using a Lightweight Look-Behind Fully Convolutional Neural Network. - Dimitrios E. Diamantis; Dimitra-Christina C. Koutsiou; Dimitrios K. Iakovidis (EANN, 2019)

Obstacle Detection Based on Generative Adversarial Networks and Fuzzy Sets for Computer-Assisted Navigation. - George Dimas; Charis Ntakolia; Dimitrios K. Iakovidis (EANN, 2019)

On Predicting Bottlenecks in Wavefront Parallel Video Coding Using Deep Neural Networks. - Natalia Panagou; Panagiotis Oikonomou; Panos K. Papadopoulos; Maria G. Koziri; Thanasis Loukopoulos; Dimitrios K. Iakovidis (EANN, 2019)

Look-behind fully convolutional neural network for computer-aided endoscopy. - Dimitrios E. Diamantis; Dimitrios K. Iakovidis; Anastasios Koulaouzidis (Biomed. Signal Process. Control., 2019)

II-Learn - A Novel Metric for Measuring the Intelligence Increase and Evolution of Artificial Learning Systems. - László Barna Iantovics; Dimitrios K. Iakovidis; Elena Nechita (Int. J. Comput. Intell. Syst., 2019)

Deep Endoscopic Visual Measurements. - Dimitrios K. Iakovidis; George Dimas; Alexandros Karargyris; Federico Bianchi 004; Gastone Ciuti; Anastasios Koulaouzidis (IEEE J. Biomed. Health Informatics, 2019)

H-V Shadow Detection Based on Electromagnetism-Like Optimization. - Dimitra-Christina C. Koutsiou; Michalis A. Savelonas; Dimitris K. Iakovidis (EUSIPCO, 2020)

Image Segmentation based on Determinative Brain Storm optimization. - Georgia Sovatzidi; Michalis A. Savelonas; Dimitra-Christina C. Koutsiou; Dimitris K. Iakovidis (SMAP, 2020)

Determinative Brain Storm Optimization. - Georgia Sovatzidi; Dimitris K. Iakovidis (ICSI, 2020)

SalSum: Saliency-based Video Summarization using Generative Adversarial Networks. - George Pantazis; George Dimas; Dimitris K. Iakovidis (CoRR, 2020)

Weakly supervised multilabel classification for semantic interpretation of endoscopy video frames. - Michael D. Vasilakakis; Dimitris Diamantis; Evaggelos Spyrou; Anastasios Koulaouzidis; Dimitris K. Iakovidis (Evol. Syst., 2020)

Uncertainty-Aware Visual Perception System for Outdoor Navigation of the Visually Challenged. - George Dimas; Dimitris Diamantis; Panagiotis Kalozoumis; Dimitrios K. Iakovidis (Sensors, 2020)

Sensors, Signal and Image Processing in Biomedicine and Assisted Living. - Dimitris K. Iakovidis (Sensors, 2020)

Enhanced CNN-Based Gaze Estimation on Wireless Capsule Endoscopy Images. - Panagiota Gatoula; George Dimas; Dimitris K. Iakovidis; Anastasios Koulaouzidis (CBMS, 2021)

MonoSOD: Monocular Salient Object Detection based on Predicted Depth. - George Dimas; Panagiota Gatoula; Dimitris K. Iakovidis (ICRA, 2021)

Self-Supervised Soft Obstacle Detection for Safe Navigation of Visually Impaired People. - George Dimas; Eirini Cholopoulou; Dimitris K. Iakovidis (IST, 2021)

Explainable Fuzzy Texture Words Model for Automatic Bone Fracture Identification. - Georgia Sovatzidi; Panagiota Gatoula; Michael D. Vasilakakis; Dimitris K. Iakovidis (IST, 2021)

Explainable Classification of Weakly Annotated Wireless Capsule Endoscopy Images Based on a Fuzzy Bag-of-Colour Features Model and Brain Storm Optimization. - Michael Vasilakakis; Georgia Sovatzidi; Dimitris K. Iakovidis (MICCAI (3), 2021)

A Constructive Fuzzy Representation Model for Heart Data Classification. - Michael D. Vasilakakis; Dimitris K. Iakovidis; George Koulaouzidis (MIE, 2021)

ASML: Algorithm-Agnostic Architecture for Scalable Machine Learning. - Dimitrios E. Diamantis; Dimitris K. Iakovidis (IEEE Access, 2021)

A swarm intelligence graph-based pathfinding algorithm (SIGPA) for multi-objective route planning. - Charis Ntakolia; Dimitris K. Iakovidis (Comput. Oper. Res., 2021)

Roadmap on Signal Processing for Next Generation Measurement Systems. - Dimitris K. Iakovidis; Melanie Ooi; Ye Chow Kuang; Serge Demidenko; Alexandr Shestakov; Vladimir Sinistin; Manus P. Henry; Andrea Sciacchitano; Stefano Discetti; Silvano Donati; Michele Norgia; Andreas Menychtas; et al. (CoRR, 2021)

Fuzzy Pooling. - Dimitrios E. Diamantis; Dimitris K. Iakovidis (IEEE Trans. Fuzzy Syst., 2021)

Digital Twin for Simulation and Evaluation of Assistive Navigation Systems. - Dimitrios E. Diamantis; Panagiotis G. Kalozoumis; Dimitris K. Iakovidis (Digital Twins for Digital Transformation, 2022)

Towards the Development of a Digital Twin for Endoscopic Medical Device Testing. - Panagiotis G. Kalozoumis; Michele Marino; Emanuele L. Carniel; Dimitris K. Iakovidis (Digital Twins for Digital Transformation, 2022)

Fuzzy Cognitive Maps for Interpretable Image-based Classification. - Georgia Sovatzidi; Michael D. Vasilakakis; Dimitris K. Iakovidis (FUZZ-IEEE, 2022)

Automatic Fuzzy Graph Construction For Interpretable Image Classification. - Georgia Sovatzidi; Michael D. Vasilakakis; Dimitris K. Iakovidis (ICIP, 2022)

Reconstruction of Cultural Heritage 3D Models from Sparse Point Clouds Using Implicit Neural Representations. - Georgios Triantafyllou; George Dimas; Panagiotis G. Kalozoumis; Dimitris K. Iakovidis (ICPR Workshops (3), 2022)

Brainstorming Fuzzy Cognitive Maps for Camera-Based Assistive Navigation. - Georgia Sovatzidi; Dimitris K. Iakovidis (AIAI (2), 2022)

EndoVAE: Generating Endoscopic Images with a Variational Autoencoder. - Dimitrios E. Diamantis; Panagiota Gatoula; Dimitris K. Iakovidis (IVMSP, 2022)

Multimodal Video Summarization based on Fuzzy Similarity Features. - Theodoros Psallidas; Michael D. Vasilakakis; Evaggelos Spyrou; Dimitris K. Iakovidis (IVMSP, 2022)

IF3: An Interpretable Feature Fusion Framework for Lesion Risk Assessment Based on Auto-constructed Fuzzy Cognitive Maps. - Georgia Sovatzidi; Michael D. Vasilakakis; Dimitris K. Iakovidis (CaPTion@MICCAI, 2022)

Constructive Fuzzy Cognitive Map for Depression Severity Estimation. - Georgia Sovatzidi; Michael Vasilakakis; Dimitris K. Iakovidis (MIE, 2022)

ENORASI Assistive Computer Vision-based System for the Visually Impaired: A User Evaluation Study. - Alexandros Mitsou; Dimitra-Christina C. Koutsiou; Dimitrios E. Diamantis; Theodoros Psallidas; George Dimas; Michael Vasilakakis; Panagiotis Kalozoumis; Evaggelos Spyrou; Stavros J. Perantonis; Artur Krukowski; Dimitris K. Iakovidis (PETRA, 2022)

Towards the Interpretation of Convolutional Neural Networks for Image Classification Using Fuzzy Sets. - Michael Vasilakakis; Georgia Sovatzidi; George Dimas; Dimitris K. Iakovidis (SMC, 2022)

Stepladder determinative brain storm optimization. - Georgia Sovatzidi; Dimitris K. Iakovidis (Appl. Intell., 2022)

E Pluribus Unum Interpretable Convolutional Neural Networks. - George Dimas; Eirini Cholopoulou; Dimitris K. Iakovidis (CoRR, 2022)

User-centered system design for assisted navigation of visually impaired individuals in outdoor cultural environments. - Charis Ntakolia; George Dimas; Dimitris K. Iakovidis (Univers. Access Inf. Soc., 2022)

A Single Image Neuro-Geometric Depth Estimation. - George Dimas; Panagiota Gatoula; Dimitris K. Iakovidis (ACIVS, 2023)

Wave-Shaping Neural Activation for Improved 3D Model Reconstruction from Sparse Point Clouds. - Georgios Triantafyllou; George Dimas; Panagiotis G. Kalozoumis; Dimitris K. Iakovidis (ACIVS, 2023)

Towards the Interpretation of Multi-Label Image Classification Using Transformers and Fuzzy Cognitive Maps. - Georgia Sovatzidi; Michael D. Vasilakakis; Dimitris K. Iakovidis (FUZZ, 2023)

Co-Operative CNN for Visual Saliency Prediction on WCE Images. - George Dimas; Anastasios Koulaouzidis; Dimitris K. Iakovidis (ICASSP, 2023)

Interpretable EEG-Based Emotion Recognition Using Fuzzy Cognitive Maps. - Georgia Sovatzidi; Dimitris K. Iakovidis (MIE, 2023)

Automatic Fuzzy Cognitive Maps for Explainable Image-based Pneumonia Detection. - Georgia Sovatzidi; Michael Vasilakakis; Dimitris K. Iakovidis (PCI, 2023)

A Leveraging Matterport for Industry-Focused Mobile Applications: Augmented Reality Training for Vocational Education and Training. - Dimitrios K. Iakovidis; Dimitrios Kotsifakos; Yannis Psaromiligkos (SEEDA-CECNSM, 2023)

Virtual Grid Mapping for Visual Size Measurements. - George Dimas; Dimitris K. Iakovidis (IEEE Trans. Instrum. Meas., 2023)

Fuzzy similarity phrases for interpretable data classification. - Michael D. Vasilakakis; Dimitris K. Iakovidis (Inf. Sci., 2023)

Emotion-aware brain storm optimization. - Charis Ntakolia; Dimitra-Christina C. Koutsiou; Dimitris K. Iakovidis (Memetic Comput., 2023)

Image-Based Path-Planning for Navigation of Soft-Growing Robots in the Spinal Sub-Arachnoid Space. - George Dimas; Panagiotis G. Kalozoumis; Panagiotis Vartholomeos; Dimitris K. Iakovidis (BioRob, 2024)

Risk Assessment of COVID-19 Transmission on Cruise Ships Using Fuzzy Rules. - Georgia Sovatzidi; Georgios Triantafyllou; George Dimas; Panagiotis G. Kalozoumis; Dimitris Drikakis; Ioannis W. Kokkinakis; Ioannis A. Markakis; Christina Golna; Dimitris K. Iakovidis (AIAI (3), 2024)

ArachNet: Interpretable Sub-Arachnoid Space Segmentation Using an Additive Convolutional Neural Network. - George Dimas; Panagiotis G. Kalozoumis; Panagiotis Vartholomeos; Dimitris K. Iakovidis (ISBI, 2024)

Sensor-Based Fuzzy Inference of COVID-19 Transmission Risk in Cruise Ships. - Georgios Triantafyllou; Georgia Sovatzidi; George Dimas; Panagiotis G. Kalozoumis; Dimitris Drikakis; Ioannis W. Kokkinakis; Ioannis A. Markakis; Christina Golna; Dimitris K. Iakovidis (MIE, 2024)

Predicting, Modeling, and Designing for a Bitcoin's Technical Administrator's Micro-Credentials Skills. - Dimitrios K. Iakovidis; Dimitrios Kotsifakos; Yannis Psaromiligkos (SEEDA-CECNSM, 2024)

This Intestine Does Not Exist: Multiscale Residual Variational Autoencoder for Realistic Wireless Capsule Endoscopy Image Generation. - Dimitrios E. Diamantis; Panagiota Gatoula; Anastasios Koulaouzidis; Dimitris K. Iakovidis (IEEE Access, 2024)

FCMCoach: Personalized Virtual Coaching Based on Fuzzy Cognitive Maps. - Georgia Sovatzidi; Dimitris K. Iakovidis (IEEE Access, 2024)

Soft-Hard Attention U-Net Model and Benchmark Dataset for Multiscale Image Shadow Removal. - Eirini Cholopoulou; Dimitrios E. Diamantis; Dimitra-Christina C. Koutsiou; Dimitris K. Iakovidis (CoRR, 2024)

Intuitionistic Fuzzy Cognitive Maps for Interpretable Image Classification. - Georgia Sovatzidi; Michael D. Vasilakakis; Dimitris K. Iakovidis (CoRR, 2024)

MeLIAD: Interpretable Few-Shot Anomaly Detection with Metric Learning and Entropy-based Scoring. - Eirini Cholopoulou; Dimitris K. Iakovidis (CoRR, 2024)

Clinical Evaluation of Medical Image Synthesis: A Case Study in Wireless Capsule Endoscopy. - Panagiota Gatoula; Dimitrios E. Diamantis; Anastasios Koulaouzidis; Cristina Carretero; Stefania Chetcuti-Zammit; Pablo Cortegoso Valdivia; Begoña González-Suárez; Alessandro Mussetto; John Plevris; Alexander Robertson; Bruno Rosa; Ervin Toth; et al. (CoRR, 2024)

TransLevelSet: Integrating vision transformers with level-sets for medical image segmentation. - Dimitra-Christina C. Koutsiou; Michalis A. Savelonas; Dimitris K. Iakovidis (Neurocomputing, 2024)

SUShe: simple unsupervised shadow removal. - Dimitra-Christina C. Koutsiou; Michalis A. Savelonas; Dimitris K. Iakovidis (Multim. Tools Appl., 2024)

DeepFEA: Deep learning for prediction of transient finite element analysis solutions. - Georgios Triantafyllou; Panagiotis G. Kalozoumis; George Dimas; Dimitris K. Iakovidis (Expert Syst. Appl., 2025)