Publications

  • D.-C. Koutsiou, M.A. Savelonas, and D.K. Iakovidis,“ TransLevelSet: Integrating Vision Transformers with Level-Sets for Medical Image Segmentation,“ Neurocomputing, 128077, 2024 [web]

  • M.J.J. Da Silva, J.-R. Lee, H. Yoo, C.C. Chia, Y.-J. Kim, D. Kim, T.W. Teo, Z. Mahdavipour, A. Abdullah, B.E. Khoo, M.Z. Abdullah, D.K. Iakovidis, P. Vartholomeos, A. Yacoot, T. Cai, M. Kim, K.C. Kim, J. Ye, X. Liang, L. Cao, X. Wang, J. Huang, W. Cai, Y. Wu, C. Tan, S. Bhattacharya, P. Vlachos, C. Cierpka, and M. Rossi, “Roadmap on Industrial Imaging Techniques," Measurement Science and Technology, 2024, doi: 10.1088/1361-6501/ad774b [web]

  • Ntakolia, D.-C. Koutsiou, and D.K. Iakovidis, “Emotion-Aware Brain Storm Optimization," Memetic Computing, vol. 15, pp. 405–450, 2023, doi: 10.1007/s12293-023-00400-4 [web]

  • D.E. Diamantis, P. Gatoula, A. Koulaouzidis, and D.K. Iakovidis, “ This Intestine Does Not Exist: Multiscale Residual Variational Autoencoder for Realistic Wireless Capsule Endoscopy Image Generation," IEEE Access, 12, 25668, 2024 [web]

  • G. Dimas, E. Cholopoulou, and D.K. Iakovidis, “E Pluribus Unum Interpretable Convolutional Neural Networks," Nature Scientific Reports, vol. 13, no. 11421, 2023, doi:10.1038/s41598-023-38459-1 [web]

  • M.D. Vasilakakis, and D.K. Iakovidis, “Fuzzy Similarity Phrases for Interpretable Data Classification," Information Sciences, vol. 624, pp. 881-907, 2023; doi:10.1016/j.ins.2023.01.009 [web]

  • G. Dimas, and D.K. Iakovidis, “Virtual Grid Mapping for Visual Size Measurements," IEEE Transactions on Instrumentation and Measurement, vol. 72, 2023, doi: 10.1109/TIM.2023.3269109 [web]

  • G. Sovatzidi, D.K. Iakovidis, “Stepladder Determinative Brain Storm Optimization,” Applied Intelligence, 2022, doi: 10.1007/s10489-022-03171-6 [web]

  • G. Koulaouzidis, T. Jadczyk, D.K. Iakovidis, A. Koulaouzidis, M. Bisnaire, and D. Charisopoulou, “ Artificial Intelligence in Cardiology—A Narrative Review of Current Status,” Journal of Clinical Medicine, vol. 11, no. 13, 3910; https://doi.org/10.3390/jcm11133910 [web]

  • D.K. Iakovidis, M. Ooi, Y.C. Kuang, S. Demidenko, A. Shestakov, V. Sinitsin, M. Henry, A. Sciacchitano, A. Discetti, S. Donati, M. Norgia, A. Menychtas, I. Maglogiannis, S.C. Wriessnegger, L.A. Chacon, G. Dimas, D. Filos, A.H. Aletras, J. Töger, F. Dong, S. Ren, A. Uhl, J. Paziewski, J. Geng, F. Fioranelli, R.M. Narayanan, C. Fernandez, C. Stiller, K. Malamousi, S. Kamnis, K. Delibasis, D. Wang, J. Zhang, R.X. Gao “Roadmap on Signal Processing for Next Generation Measurement Systems,” Measurement Science and Technology, vol. 33, no. 1, 2022, doi:10.1088/1361-6501/ac2dbd [web]

  • D. Diamantis, and D.K. Iakovidis, “ASML: Algorithm-Agnostic Architecture for Scalable Machine Learning Applications,” IEEE Access, 2021, doi: 10.1109/ACCESS.2021.3069857 [web]

  • D. Diamantis, and D.K. Iakovidis, “Fuzzy Pooling,” IEEE Transactions on Fuzzy Systems, 2020, doi: 10.1109/TFUZZ.2020.3024023 [web]

  • G. Dimas, F. Bianchi, D.K. Iakovidis, A. Karargyris, G. Ciuti, and A. Koulaouzidis, “Endoscopic Single-Image Size Measurements,” Measurement Science and Technology, vol. 31, no. 074010, 2020 [web]

  • C. Ntakolia, G. Dimas, and D.K. Iakovidis, “User-Centered System Design for Assisted Navigation of Visually Impaired Individuals in Outdoor Cultural Environments,” Universal Access in the Information Society, 2020 [web]

  • D.K. Iakovidis, S.V. Georgakopoulos, M. Vasilakakis, A. Koulaouzidis, and V. Plagianakos, “Detecting and Locating Gastrointestinal Anomalies Using Deep Learning and Iterative Cluster Unification,” IEEE Transactions on Medical Imaging, 2018, doi:10.1109/TMI.2018.2837002 [web]

  • D.K. Iakovidis, G. Dimas, A. Karargyris, F. Bianchi, G. Ciuti, and A. Koulaouzidis, “Deep Endoscopic Visual Measurements,” IEEE Journal of Biomedical and Health Informatics, 2018, doi: 10.1109/JBHI.2018.2853987.

  • D. Diamantis, D.K. Iakovidis, and A. Koulaouzidis, “Look-Behind Fully Convolutional Neural Network for Computer-Aided Endoscopy,” Biomedical Signal Processing and Control, vol. 49, pp. 192-201, 2019, doi: 10.1016/j.bspc.2018.12.005.

  • M. Vasilakakis, D. Diamantis, E. Spyrou, A. Koulaouzidis, and D.K. Iakovidis, “Weakly Supervised Multilabel Classification for Semantic Interpretation of Endoscopy Video Frames,” Evolving Systems, 2018, doi: 10.1007/s12530-018-9236-x.

  • M.D. Vasilakakis, D.K. Iakovidis, E. Spyrou, and A. Koulaouzidis, “DINOSARC: Color Features based on Selective Aggregation of Chromatic Image Components for Wireless Capsule Endoscopy,” Computational and Mathematical Methods in Medicine, Article ID 2026962, 2018.

  • M. Savelonas, I. Pratikakis,  T. Theoharis, G. Thanellas, F. Abad, R. Bendahan, “Spatially sensitive statistical shape analysis for pedestrian recognition from LIDAR data,” Computer Vision and Image Understanding, vol. 171, pp. 1-9, 2018.

  • L. Kovacs, B. Iantovics, and D.K. Iakovidis, “IntraClusTSP - An Incremental Intra-cluster Refinement Heuristic Algorithm for Symmetric Traveling Salesman Problem,” Symmetry, vol. 10, no. 12, p. 663, 2018.

  • A. Koulaouzidis, D.K. Iakovidis, D.E. Yung, E. Mazomenos, F. Bianchi, A. Karagyris, G. Dimas, D. Stoyanov, H. Thorlacius, E. Toth, G. Ciuti, “Novel Experimental and Software Methods for Image Reconstruction and Localization in Capsule Endoscopy,” Endoscopy International Open, vol. 6, no. 2, pp. E205-E210,  2018, doi: 10.1055/s-0043-121882.

  • S. Ortega, H. Fabelo, D.K. Iakovidis, A. Koulaouzidis, and G.M. Callico, “Use of Hyperspectral/Multispectral Imaging in Gastroenterology. Shedding Some –Different- Light into the Dark,” Journal of Clinical Medicine, vol. 8, no. 1, p. 36, 2019, doi: 10.3390/jcm8010036.

  • G. Dimas, D. K. Iakovidis, A. Karargyris, G. Ciuti, A. Koulaouzidis, “An Artificial Neural Network Architecture for Non-Parametric Visual Odometry in Wireless Capsule Endoscopy,” Measurement Science and Technology, vol. 28, no. 9, 2017, doi: 10.1088/1361-6501/aa7ebf.

  • G. Dimas, E. Spyrou, D. K. Iakovidis, A. Koulaouzidis, “Intelligent Visual Localization of Wireless Capsule Endoscopes Enhanced by Color Information,” Computers in Biology and Medicine, vol. 89, pp. 429-440, 2017.

  • A. Koulaouzidis, D.K. Iakovidis, D.E. Yung, E. Rondonotti, U. Kopylov, J.N. Plevris, E. Toth, “KID Project – An internet based digital video atlas of capsule endoscopy for research purposes,” Endoscopy International Open,  vol.5, no.6, pp. E477–E483, 2017.

  • M. Savelonas, I. Pratikakis, and K. Sfikas, "Fisher encoding of differential fast point feature histograms for partial 3D object retrieval," Pattern Recognition, vol. 55, pp. 115-124, 2016

  • G. Koulaouzidis, D.K. Iakovidis, and A.L. Clark, Telemonitoring predicts in advance heart failure admissions, International Journal of Cardiology, vol. 216, pp. 78-84, 2016.

  • D. Iakovidis, D. Douska, E. Barba,and G. Koulaouzidis, Wavelet-based signal analysis for heart failure hospitalization prediction, Studies in Health Technology and Informatics, pHealth, vol. 224, pp. 21-26, IOS Press, 2016

  • D.K. Iakovidis, and A. Koulaouzidis, Software for Enhanced Video Capsule Endoscopy: State of the Art and Challenges for Essential Progress, Nature Reviews Gastroenterology & Hepatology, 2015, doi: 10.1038/nrgastro.2015.13 [web]

  • K.K. Delibasis, V.P. Plagianakos, V. P., and I. Maglogiannis, "Refinement of human silhouette segmentation in omni-directional indoor videos," Computer Vision and Image Understanding, vol. 128, pp. 65-83, 2014 [web]

  • E. Spyrou, D. Iakovidis, P. Mylonas, Semantic Multimedia Analysis and Processing, CRC Press, Taylor & Francis, 2014 [web]

  • E. Spyrou, and D.K. Iakovidis, Video-Based Measurements for Wireless Capsule Endoscope Tracking, Measurement Science and Technology, vol. 25, pp. 015002 (14pp), IOP Publishing, 2014 [web] [data]

  • D.K. Iakovidis, Software Engineering Applications in Gastroenterology, Global Journal of Gastroenterology and Hepatology, vol. 2, pp. 11-18, 2014 [web]

  • D.K. Iakovidis, C. Smailis, T. Goudas, and I. Maglogiannis, "Ratsnake: A Versatile Image Annotation Tool with Application to Computer-Aided Diagnosis," The Scientific World Journal, vol. 2014, Article ID 286856, 12 pages, 2014. doi:10.1155/2014/286856 [web] [software]

  • E. Papageorgiou, and D.K. Iakovidis, "Intuitionistic Fuzzy Cognitive Maps," IEEE Transactions on Fuzzy Systems, vol. 21, no.12, pp. 342-254, 2013 [web]

  • M. Savelonas, E. Mylona, and D. Maroulis, "Unsupervised 2D gel electrophoresis image segmentation based on active contours," Pattern Recognition, vol. 45, no.2, pp. 720-731, 2012

  • G. Giakos, M.Z. Abdullah, W. Yang, M. Petrou, K. Nikita, M. Pastorino, M. Zervakis, A. Amanatiadis, D.A. Karras, M. Ceccarelli, D. Iakovidis, G. Zentai, C. Svelto, and A. Gasteratos, Imaging Systems and Techniques 2011, Measurement Science and Technology, vol. 23, no. 110101, IOP Publishing, 2012 [web] 

  • D.K. Iakovidis, S. Tsevas, M.A. Savelonas, and G. Papamichalis, "Image Analysis Framework for Infection Monitoring," IEEE Transactions on Biomedical Engineering, vol. 59, no. 4, pp.1135-1144, 2011 [web]

  • E.G. Keramidas, D.K. Iakovidis, and D. Maroulis, An Uncertainty-Aware Texture Representation Based on Fuzzy Logic and Binary Patterns, Electronic Letters on Computer Vision and Image Analysis, vol. 10, no.1, 2011 [web]

  • S. Tsevas, and D.K. Iakovidis, Measuring the Relative Extent of Pulmonary Infiltrates by Hierarchical Classification of Patient-Specific Image Features, Measurement Science and Technology, IOP Publishing, vol.22, 114017, 2011 [web]

  • E.G. Keramidas, D. Maroulis, and D.K. Iakovidis, "TND: A Thyroid Nodule Detection System for Analysis of Ultrasound Images and Videos," Journal of Medical Systems, vol. 36, no 3, pp. 1271-1281, 2012 [web] [pdf] [software]

  • D.K. Iakovidis, and E. Papageorgiou, "Intuitionistic Fuzzy Cognitive Maps for Medical Decision Making," IEEE Transactions on Information Technology in Biomedicine, vol. 15, no. 1, pp. 100-107, 2011 [web] [correction]

  • D. Bariamis, D.K. Iakovidis, D. Maroulis, "M3G: Maximum Margin Microarray Gridding," BMC Bioinformatics, 11:49, 2010 [web] [software]

  • I. Legakis, M.A. Savelonas, D. Maroulis, D.K. Iakovidis, "Computer-based Nodule Malignancy Risk Assessment in Thyroid Ultrasound Images," International Journal of Computers and Applications, vol. 33, no. 1, pp. 29-35, 2011 [web] [pdf]

  • S. Tsevas, D.K. Iakovidis, G. Papamichalis, "Unsupervised Mining of Radiographic Pulmonary Infection Patterns," Engineering Intelligent Systems, vol. 17, no. 2/3, CRL Publishing, 2009 [web]

  • D.K. Iakovidis, S. Tsevas, A. Polydorou, "Reduction of Capsule Endoscopy Reading Times by Unsupervised Image Mining," Computerized Medical Imaging and Graphics, Elsevier, vol. 34, no. 6, pp. 471-478, 2010 [web] [pdf]

  • D. Bariamis, D.E. Maroulis, D.K. Iakovidis, "Unsupervised SVM-based Gridding for DNA Microarray Images," Computerized Medical Imaging and Graphics, Elsevier, vol. 34, no. 6, pp. 418-425, 2010 [web] [pdf]

  • D.G. Bariamis, D.E. Maroulis, and D.K. Iakovidis, "Adaptable, Fast, Area-Efficient Architecture for Logarithm Approximation with Arbitrary Accuracy on FPGA," Journal of Signal Processing Systems, vol. 58, no. 3, pp. 301-310, 2010 [web] [pdf]

  • D.K. Iakovidis, E.G. Keramidas, D. Maroulis, "Fusion of Fuzzy Statistical Distributions for Classification of Thyroid Ultrasound Patterns," Artificial Intelligence in Medicine, vol. 50, no. 1, pp. 33-41, 2010 [web] [pdf] [software]

  • D.K. Iakovidis, M.A. Savelonas, G. Papamichalis, "Robust Model-based Detection of the Lung Field Boundaries in Portable Chest Radiographs Supported by Selective Thresholding," Measurement Science and Technology, vol. 20, pp. 104019, IOP Publishing, 2009 [web] [pdf] [software]

  • Ph. Mylonas, E. Spyrou, Y. Avrithis and S. Kollias, "Using Visual Context and Region Semantics for High-Level Concept Detection," IEEE Transactions on Multimedia, Volume 11, Issue 2, pp. 229-243, February 2009

  • M.A. Savelonas, D.K. Iakovidis, I. Legakis, D. Maroulis, "Active Contours Guided by Echogenicity and Texture for Delineation of Thyroid Nodules in Ultrasound Images," IEEE Transactions on Information Technology in Biomedicine, vol. 13, no. 4, pp. 519-527, 2008 [web] [pdf]

  • D.K. Iakovidis, N. Pelekis, H. Karanikas, E. Kotsifakos, I. Kopanakis, and Y. Theodoridis, "A Pattern Similarity Scheme for Medical Image Retrieval," IEEE Transactions on Information Technology in Biomedicine, vol. 13, no. 4, pp. 442-450, 2009 [web] [pdf] 

  • D.E. Maroulis, D.K. Iakovidis, and D.G. Bariamis, "FPGA-based System for Real-Time Video Texture Analysis," Journal of Signal Processing Systems, vol. 53, no. 3, pp. 419-433, Springer, 2008 [web] [pdf]

  • M.A. Savelonas, D.K. Iakovidis, D.E. Maroulis, "LBP-Guided Active Contours," Pattern Recognition Letters, vol. 29, pp. 1404-1415, 2008 [web] [pdf]

  • N. Pelekis, D.K. Iakovidis, E.E. Kotsifakos, and I. Kopanakis, "Fuzzy Clustering of Intuitionistic Fuzzy Data," International Journal of Business Intelligence and Data Mining, vol. 3, no. 1, pp. 45-65, 2008 [web] [pdf]

  • D.E. Maroulis, M. Savelonas, D.K. Iakovidis, S.A. Karkanis, N. Dimitropoulos, "Variable Background Active Contour Model for Computer-Aided Delineation of Nodules in Thyroid Ultrasound Images," IEEE Transactions on Information Technology in Biomedicine, vol. 11, no. 5, pp. 537-543, 2007 [web] [pdf]

  • D.K. Iakovidis, M.A. Savelonas, S.A. Karkanis, D.E. Maroulis, "A Genetically Optimized Level Set Approach to Segmentation of Thyroid Ultrrasound Images,"Applied Intelligence, vol. 27, no. 3, pp.193-203, 2007 [web] [pdf]

  • D.K. Iakovidis, D.E. Maroulis, and D.G. Bariamis, "FPGA Architecture for Fast Parallel Computation of Co-occurrence Matrices," Microprocessors and Microsystems, vol. 31, no. 2, pp. 160-165, 2007 [web] [pdf]

  • D.E. Maroulis, I.N. Flaounas, D.K. Iakovidis, and S.A. Karkanis, "Microarray-MD: A System for Exploratory Analysis of Microarray Gene Expression Data,"Computer Methods and Programs in Biomedicine, vol. 83, pp. 157-167, 2006 [web] [pdf] [software]

  • D.K. Iakovidis, D.E. Maroulis, and S.A. Karkanis, "An Intelligent System for Automatic Detection of Gastrointestinal Adenomas in Video Endoscopy," Computers in Biology and Medicine, vol. 36, no. 10, pp. 1084-1103, 2006 [web] [pdf]

  • I.N. Flaounas, D.K. Iakovidis, and D.E. Maroulis, "Cascading SVMs as a Tool for Medical Diagnosis using Multi-class Gene Expression Data," International Journal of Artificial Intelligence Tools, vol. 15, no. 3, pp. 335-352, World Scientific, 2006 [web] [pdf]

  • P.G. Papageorgas, D. Maroulis, G. Anagnostopoulos, H. Albrecht, B. Wagner, D.K. Iakovidis, and N.G. Theofanous, "A High-Performance Imaging and Control System for a Micromirror-Based Laser-Scanning Endoscope Device," IEEE Transactions on Instrumentation and Measurement, vol. 55, no. 5, pp. 1725-1733, 2005 [web] [pdf]

  • D.K. Iakovidis, D.E. Maroulis, S.A. Karkanis, P. Papageorgas, and M. Tzivras, "Texture Multichannel Measurements for Cancer Precursors' Identification using Support Vector Machines," Measurement, vol. 36, pp. 297-313, 2004 [web] [pdf]

  • D.E. Maroulis, D.K. Iakovidis, S.A. Karkanis, and D.A. Karras, "COLD: A Versatile Detection System for Colorectal Lesions in Endoscopy Video-frames," Computer Methods and Programs in Biomedicine, Elsevier Science, vol. 70, pp. 151-166, 2003 [web] [pdf] [software]

  • S.A. Karkanis, D.K. Iakovidis, D.E. Maroulis, D.A. Karras, and M. Tzivras, "Computer Aided Tumor Detection in Endoscopic Video using Color Wavelet Features," IEEE Transactions on Information Technology in Biomedicine, vol. 7, pp. 141-152, 2003 [web] [pdf]

  • D.K. Iakovidis, D. Diamantis, G. Dimas, C. Ntakolia, E. Spyrou, "Digital Enhancement of Cultural Experience and Accessibility for the Visually Impaired", In Improved Mobility for the Visually Impaired, Sara Paiva (eds), Springer, pp. 237-271, 2020 [web]

  • Loukopoulos, M. Koziri, N. Panagou, P.K. Papadopoulos, D.K. Iakovidis, "Cloud Video Guidance as “Deus ex Machina” for the Visually Impaired", In Improved Mobility for the Visually Impaired, Sara Paiva (eds), Springer, pp. 127-143, 2020 [web]

  • D. Iakovidis, and C. Smailis, A Semantic Model for Multimodal Data Mining in Healthcare Information Systems, Studies in Health Technology and Informatics, MIE, vol. 180, pp. 574-578, IOS Press, 2012 [web]

  • C.V. Smailis, and D.K. Iakovidis, Ontology-Based Automatic Image Annotation Exploiting Generalized Qualitative Spatial Semantics, Lecture Notes in Computer Science, SETN, (Berlin, Heidelberg: Springer), LNAI pp.205-214, 2012 [web]

  • D.K. Iakovidis, N. Pelekis, E. Kotsifakos, I. Kopanakis, "Intuitionistic Fuzzy Clustering with Applications in Computer Vision," in Lecture Notes in Computer Science, Advanced Concepts for Intelligent Vision Systems, eds. J. Blanc-Talon, W. Philips, D. Popescu, (Berlin, Heidelberg: Springer), LNCS 5259, pp. 764-774, 2008 [web] [pdf]

    D.K. Iakovidis, E.G. Keramidas, D.E. Maroulis, "Fuzzy Local Binary Patterns for Ultrasound Texture Characterization," in Lecture Notes in Computer Science, ICIAR, (Berlin,Heidelberg: Springer), LNCS 5112, pp. 750-759, 2008 [web] [pdf] [software]

  • D.K. Iakovidis, M.A. Savelonas, and D. Maroulis, "Adaptive Vision System for Segmentation of Medical Images based on Modified Mumford Shah Functional," in Lecture Notes in Computer Science, Advanced Concepts for Intelligent Vision Systems, eds. J. Blanc-Talon, W. Philips, D. Popescu, (Berlin, Heidelberg: Springer), LNCS 4678, pp. 565-574, 2007 [web]

  • E.G. Keramidas, D.K. Iakovidis, D. Maroulis, and S. Karkanis, "Efficient and Effective Ultrasound Image Analysis Scheme for Thyroid Nodule Detection," in Lecture Notes in Computer Science, ICIAR, (Berlin, Heidelberg: Springer), LNCS 4633, pp. 1052-1060, 2007 [web]

  • M.A. Savelonas, D.K. Iakovidis, and D. Maroulis, "Bimodal Texture Segmentation with the Lee-Seo Model," in Lecture Notes in Computer Science, ICIAR, (Berlin, Heidelberg: Springer), LNCS 4633, pp. 246-253, 2007 [web] [pdf]

  • D. Bariamis, D. Iakovidis, and D. Maroulis, "Dedicated Hardware for Real-Time Computation of Second-Order Statistical Features for High Resolution Images", in Lecture Notes in Computer Science, Advanced Concepts for Intelligent Vision Systems, , eds. J. Blanc-Talon, W. Philips, D. Popescu, (Berlin, Heidelberg: Springer), LNCS 4179, pp. 68-77, 2006 [web]

  • M. Savelonas, D. Iakovidis, D. Maroulis, and S. Karkanis, "An Active Contour Model Guided by LBP Distributions", in Lecture Notes in Computer Science, Advanced Concepts for Intelligent Vision Systems, eds. J. Blanc-Talon, W. Philips, D. Popescu, (Berlin, Heidelberg: Springer), LNCS 4179, pp.197-207, 2006 [web]

  • F.v.d.Vosse, H. Hofstraat, S. Omholt, D.K. Iakovidis, E. Nagel, A. Capporozzo, A. Hernandez, C. Pichardo, P. Hunter, Generation of data for model construction, validation and application, in Roadmap for the Digital Patient, Discipulus - Reference: 288143, European Commission, 2013 [web]

  • S. Klein, B. Menze, W. J. Niessen, E. Massey, G. Berti, F. Dong, M. Loog, M. de Bruijne, D. Iakovidis, Data Exploration and Analysis in Large Heterogeneous Imaging Databases, in VPH-FET Research Roadmap, VPH-FET: Future and Emerging Technologies for the Virtual Physiological Human Support Action in FET Proactive - Reference: 258087, European Commission, 2011 [web]

  • G. Sovatzidi, D.K. Iakovidis, “Determinative Braistorm Optimization,” In: Ying TanYuhui ShiMilan Tuba (eds) International Conference on Swarm Intelligence (ICSI), Lecture Notes in Computer Science, LNCS 12145, pp. 259–271, 2020 [web]

  • D.C.-C Koutsiou, M. Savelonas, D.K. Iakovidis, “H-V Shadow Detection Based on Electromagnetism-Like Optimization,” in Proc. European Signal Processing Conference (EUSIPCO), 2020 [web]

  • D.E. Diamantis, A.E. Zacharia, D.K. Iakovidis, A. Koulaouzidis, “Towards the Substitution of Real with Artificially Generated Endoscopic Images for CNN Training,” in Proc. IEEE Conference on Bioinformatics and Bioengineering (BIBE), Athens, 2019, pp. 519-524

  • D. Diamantis, D.K. Iakovidis, and A. Koulaouzidis, “Investigating Cross-Dataset Abnormality Detection in Endoscopy with a Weakly-Supervised Multiscale Convolutional Neural Network,” in Proc. IEEE International Conference on Image Processing (ICIP), Athens, 2018, pp. 3124-3128

  • D.K. Iakovidis, E. Spyrou, D. Diamantis, I. Tsiompanidis, Capsule Endoscope Localization based on Visual Features, in Proc. IEEE International Conference on Bioinformatics and Bioengineering (BIBE), doi: 10.1109/BIBE.2013.6701570, Chania, Greece, 2013  [web]

  • D.K. Iakovidis, E. Spyrou, D. Diamantis, Efficient Homography-Based Video Visualization for Wireless Capsule Endoscopy, in Proc. IEEE International Conference on Bioinformatics and Bioengineering (BIBE), doi: 10.1109/BIBE.2013.6701598, Chania, Greece, 2013 [web]

  • E. Spyrou, D. Diamantis, and D.K. Iakovidis, Panoramic Visual Summaries for Efficient Reading of Capsule Endoscopy Videos, Proc. IEEE International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP), Bayonne, France, 2013, pp. 41-46 [web]

  • E. Spyrou, and D.K. Iakovidis, Homography-Based Orientation Estimation for Capsule Endoscope Tracking, in Proc. IEEE International Conference on Imaging Systems and Techniques, Manchester, UK, July 2012, pp. 101-105 [web]

  • S. Tsevas, and D.K. Iakovidis, Fusion of Multimodal Temporal Clinical Data for the Retrieval of Similar Patient Cases, in Proc. 10th International Workshop on Biomedical Engineering, Kos Island, Greece, Oct. 2011 [web]

  • D.K. Iakovidis, and C.V Smailis, Efficient Semantically-Aware Annotation of Images, in Proc. IEEE International Conference of Imaging Systems and Techniques (IST), Malaysia, May 2011 [web] [pdf] [software]

  • D.K. Iakovidis, and E.I. Papageorgiou, Intuitionistic Fuzzy Reasoning with Cognitive Maps, in Proc. IEEE International Conference of Fuzzy Systems (FUZZ), 2011 [web]

  • S. Tsevas, and D.K. Iakovidis, "Dynamic Time Warping Fusion for the Retrieval of Similar Patient Cases Represented by Multimodal Time-Series Medical Data," in Proc. IEEE International Conference on Information Technology and Applications in Biomedicine, Corfu, Greece, 2010 [web]

  • I. Kanaris, S. Tsevas, I. Maglogiannis, and D.K. Iakovidis, "Enabling Distributed Summarization of Wireless Capsule Endoscopy Video," in Proc. IEEE International Conference on Imaging Systems and Techniques, Thessaloniki, Greece, 2010, pp. 17-21 [web]

  • M. Savelonas, and D.K. Iakovidis, "Shielding Active Shape Models against Weak Lung Field Boundaries for Segmentation of Chest Radiographs," in Proc. MICCAI, 2nd International Workshop on Pulmonary Image Analysis, Eds. M. Brown, M. Bruijne, B.V Ginneken, A. Kiraly, J.-M. Kuhnigk, C. Lorenz, J. McClelland, K. Mori, A. Reeves, and J. Reinhardt, London, 2009, pp. 83-91, ISBN-13: 978-1-4486-8089-1 [web]

  • D.K. Iakovidis, D. Schober, M. Boeker, and S. Schulz, "An Ontology of Image Representations for Medical Image Mining," in Proc. IEEE International Conference on Information Technology and Applications in Biomedicine, 2009, ISBN: 978-1-4244-5379-5 [web] [pdf]

  • E.G. Keramidas, D.K. Iakovidis, D. Maroulis, "Noise Robust Statistical Feature Distributions for Texture Analysis," in Proc. European Signal Processing Conference (EUSIPCO), Lausanne, Swiss, 2008 [web]

  • D.K. Iakovidis, D.E. Maroulis, E.E. Zacharia, S. Kossida, "A Genetic Approach to Spot Detection in Two-Dimensional Gel Electrophoresis Images," in Proc. IEEE International Conference on Information Technology in Biomedicine (ITAB), Oct. 2006 [web]

  • D.K. Iakovidis, M.A. Savelonas, S.A. Karkanis, D.E. Maroulis, "Segmentation of Medical Images with Regional Inhomogeneities," in Proc. International Conference on Pattern Recognition (ICPR), IAPR, Hong Kong, 2006, (rated within the first 15% of the accepted papers), vol. 2, pp. 279-282 [web][pdf]

  • M.A. Savelonas, D.K. Iakovidis, D.E. Maroulis, "An LBP-Based Active Contour Algorithm for Unsupervised Texture Segmentation," in Proc. International Conference on Pattern Recognition (ICPR), IAPR, Hong Kong, 2006, vol. 3, pp. 976-979 [web]

  • M. Savelonas, D. Maroulis, D. Iakovidis, S. Karkanis, and N. Dimitropoulos, "A Variable Background Active Contour Model for Automatic Detection of Thyroid Nodules in Ultrasound Images," in Proc. IEEE International Conference on Image Processing (ICIP), Genova,Italy, 2005, pp. I-17-20 [web]

  • D.K. Iakovidis, S.A. Karkanis, and D.E. Maroulis, "Color Texture Features for Texture Recognition under Varying Illumination using Support Vector Machines," in Proc. IEEE International Conference on Image Processing (ICIP), Singapore, 2004, pp. 1505-1508 [web]

  • D.K. Iakovidis, I.N. Flaounas, S.A. Karkanis, and D.E. Maroulis, "A Cascading Support Vector Machines System for Gene Expression Data Classification," in Proc. IEEE International Conference on Intelligent Systems, Varna, Bulgaria, 2004, pp. 344-347 [web]

  • D. Bariamis, D.K. Iakovidis, D.E. Maroulis, and S.K. Karkanis, "An FPGA-based Architecture for Real Time Image Feature Extraction," in Proc. International Conference on Pattern Recognition (ICPR), IAPR, Cambridge, UK, 2004, pp. 801-804 [web]

  • M. George, H. Albrecht, M. Schurr, P.G. Papageorgas, U. Hofmann, D. Maroulis, C.D. Depeursinge, D. Iakovidis, N. Theofanous, and A. Menciassi, "Laser-scanning Endoscope based on Polysilicon Micromachined Mirrors with Enhanced Attributes," in Proc. SPIE European Conference on Biomedical Optics (ECBO), Novel Optical Instrumentation for Biomedical Applications, Munich, Germany, vol. 5143, 2003, pp.145-156 [web][pdf]

  • S.A. Karkanis, D.K. Iakovidis, D.A. Karras, and D.E. Maroulis, "Detection of Lesions in Endoscopic Video using Textural Descriptors on Wavelet Domain Supported by Artificial Neural Network Architectures," in Proc. IEEE International Conference on Image Processing (ICIP), Thessaloniki, Greece, 2001, pp. 833-836 [web]

  • S.A. Karkanis, G.D. Magoulas, D.K. Iakovidis, D.A. Karras, and D.E. Maroulis, "Evaluation of Textural Feature Extraction Schemes for Neural Network-Based Interpretation of Regions in Medical Images," in Proc. IEEE International Conference on Image Processing (ICIP), Thessaloniki, Greece, 2001, pp. 281-284 [web]

  • S.A. Karkanis, D.K. Iakovidis, D.E. Maroulis, G.D. Magoulas, and N. Theofanous, "Tumor Recognition in Endoscopic Video Images," in Proc. IEEE 26th EUROMICRO Conference, Medical Informatics, Maastricht, Netherlands, 2000, pp. 423-429 [web]