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Dimitrios K. Iakovidis
Dimitris K. Iakovidis
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2020 – today
- 2024
- [j47]Dimitrios E. Diamantis
, Panagiota Gatoula
This Intestine Does Not Exist: Multiscale Residual Variational Autoencoder for Realistic Wireless Capsule Endoscopy Image Generation. IEEE Access 12: 25668-25683 (2024) - [j46]Dimitra-Christina C. Koutsiou, Michalis A. Savelonas, Dimitris K. Iakovidis:
TransLevelSet: Integrating vision transformers with level-sets for medical image segmentation. Neurocomputing 599: 128077 (2024) - [j45]Dimitra-Christina C. Koutsiou
SUShe: simple unsupervised shadow removal. Multim. Tools Appl. 83(7): 19517-19539 (2024) - [j44]Dimitrios K. Iakovidis, Dionysios Koulouris
Continuous Machine Learning for Assisting AR Indoor Navigation. SN Comput. Sci. 5(7): 913 (2024) - [c78]George Dimas, Panagiotis G. Kalozoumis, Panagiotis Vartholomeos, Dimitris K. Iakovidis:
Image-Based Path-Planning for Navigation of Soft-Growing Robots in the Spinal Sub-Arachnoid Space. BioRob 2024: 1688-1693 - [c77]Georgia Sovatzidi, Georgios Triantafyllou, George Dimas, Panagiotis G. Kalozoumis, Dimitris Drikakis, Ioannis W. Kokkinakis, Ioannis A. Markakis, Christina Golna, Dimitris K. Iakovidis:
Risk Assessment of COVID-19 Transmission on Cruise Ships Using Fuzzy Rules. AIAI (3) 2024: 336-348 - [c76]George Dimas, Panagiotis G. Kalozoumis, Panagiotis Vartholomeos, Dimitris K. Iakovidis:
ArachNet: Interpretable Sub-Arachnoid Space Segmentation Using an Additive Convolutional Neural Network. ISBI 2024: 1-5 - [c75]Georgios Triantafyllou, Georgia Sovatzidi, George Dimas, Panagiotis G. Kalozoumis, Dimitris Drikakis, Ioannis W. Kokkinakis, Ioannis A. Markakis, Christina Golna, Dimitris K. Iakovidis:
Sensor-Based Fuzzy Inference of COVID-19 Transmission Risk in Cruise Ships. MIE 2024: 1817-1821 - [c74]Dimitrios K. Iakovidis, Dimitrios Kotsifakos, Yannis Psaromiligkos:
Predicting, Modeling, and Designing for a Bitcoin's Technical Administrator's Micro-Credentials Skills. SEEDA-CECNSM 2024: 75-80 - [i8]Eirini Cholopoulou, Dimitrios E. Diamantis, Dimitra-Christina C. Koutsiou, Dimitris K. Iakovidis:
Soft-Hard Attention U-Net Model and Benchmark Dataset for Multiscale Image Shadow Removal. CoRR abs/2408.03734 (2024) - [i7]Georgia Sovatzidi, Michael D. Vasilakakis, Dimitris K. Iakovidis:
Intuitionistic Fuzzy Cognitive Maps for Interpretable Image Classification. CoRR abs/2408.03745 (2024) - [i6]Eirini Cholopoulou, Dimitris K. Iakovidis:
MeLIAD: Interpretable Few-Shot Anomaly Detection with Metric Learning and Entropy-based Scoring. CoRR abs/2409.13602 (2024) - 2023
- [j43]Michael D. Vasilakakis, Dimitris K. Iakovidis:
Fuzzy similarity phrases for interpretable data classification. Inf. Sci. 624: 881-907 (2023) - [j42]Charis Ntakolia, Dimitra-Christina C. Koutsiou, Dimitris K. Iakovidis:
Emotion-aware brain storm optimization. Memetic Comput. 15(4): 405-450 (2023) - [j41]George Dimas
Virtual Grid Mapping for Visual Size Measurements. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [c73]George Dimas, Panagiota Gatoula, Dimitris K. Iakovidis:
A Single Image Neuro-Geometric Depth Estimation. ACIVS 2023: 160-171 - [c72]Georgios Triantafyllou
Wave-Shaping Neural Activation for Improved 3D Model Reconstruction from Sparse Point Clouds. ACIVS 2023: 172-183 - [c71]Georgia Sovatzidi, Michael D. Vasilakakis, Dimitris K. Iakovidis:
Towards the Interpretation of Multi-Label Image Classification Using Transformers and Fuzzy Cognitive Maps. FUZZ 2023: 1-7 - [c70]George Dimas, Anastasios Koulaouzidis, Dimitris K. Iakovidis:
Co-Operative CNN for Visual Saliency Prediction on WCE Images. ICASSP 2023: 1-5 - [c69]Georgia Sovatzidi, Dimitris K. Iakovidis:
Interpretable EEG-Based Emotion Recognition Using Fuzzy Cognitive Maps. MIE 2023: 992-996 - [c68]Georgia Sovatzidi
Automatic Fuzzy Cognitive Maps for Explainable Image-based Pneumonia Detection. PCI 2023: 74-78 - [c67]Dimitrios K. Iakovidis
A Leveraging Matterport for Industry-Focused Mobile Applications: Augmented Reality Training for Vocational Education and Training. SEEDA-CECNSM 2023: 1-7 - [i5]Dimitrios E. Diamantis, Panagiota Gatoula, Anastasios Koulaouzidis, Dimitris K. Iakovidis:
This Intestine Does Not Exist: Multiscale Residual Variational Autoencoder for Realistic Wireless Capsule Endoscopy Image Generation. CoRR abs/2302.02150 (2023) - 2022
- [j40]Georgia Sovatzidi, Dimitris K. Iakovidis
Stepladder determinative brain storm optimization. Appl. Intell. 52(14): 16799-16817 (2022) - [j39]Charis Ntakolia
User-centered system design for assisted navigation of visually impaired individuals in outdoor cultural environments. Univers. Access Inf. Soc. 21(1): 249-274 (2022) - [c66]Georgia Sovatzidi, Michael D. Vasilakakis, Dimitris K. Iakovidis:
Fuzzy Cognitive Maps for Interpretable Image-based Classification. FUZZ-IEEE 2022: 1-6 - [c65]Georgia Sovatzidi, Michael D. Vasilakakis, Dimitris K. Iakovidis:
Automatic Fuzzy Graph Construction For Interpretable Image Classification. ICIP 2022: 3743-3747 - [c64]Georgios Triantafyllou
Reconstruction of Cultural Heritage 3D Models from Sparse Point Clouds Using Implicit Neural Representations. ICPR Workshops (3) 2022: 21-35 - [c63]Georgia Sovatzidi
Brainstorming Fuzzy Cognitive Maps for Camera-Based Assistive Navigation. AIAI (2) 2022: 17-28 - [c62]Dimitrios E. Diamantis, Panagiota Gatoula, Dimitris K. Iakovidis:
EndoVAE: Generating Endoscopic Images with a Variational Autoencoder. IVMSP 2022: 1-5 - [c61]Theodoros Psallidas, Michael D. Vasilakakis, Evaggelos Spyrou, Dimitris K. Iakovidis:
Multimodal Video Summarization based on Fuzzy Similarity Features. IVMSP 2022: 1-5 - [c60]Georgia Sovatzidi
IF3: An Interpretable Feature Fusion Framework for Lesion Risk Assessment Based on Auto-constructed Fuzzy Cognitive Maps. CaPTion@MICCAI 2022: 77-86 - [c59]Georgia Sovatzidi, Michael Vasilakakis, Dimitris K. Iakovidis:
Constructive Fuzzy Cognitive Map for Depression Severity Estimation. MIE 2022: 485-489 - [c58]Alexandros Mitsou, Dimitra-Christina C. Koutsiou, Dimitrios E. Diamantis, Theodoros Psallidas, George Dimas, Michael Vasilakakis, Panagiotis Kalozoumis
ENORASI Assistive Computer Vision-based System for the Visually Impaired: A User Evaluation Study. PETRA 2022: 668-677 - [c57]Michael Vasilakakis, Georgia Sovatzidi, George Dimas, Dimitris K. Iakovidis:
Towards the Interpretation of Convolutional Neural Networks for Image Classification Using Fuzzy Sets. SMC 2022: 2912-2917 - [p2]Panagiotis G. Kalozoumis
Towards the Development of a Digital Twin for Endoscopic Medical Device Testing. Digital Twins for Digital Transformation 2022: 113-145 - [p1]Dimitrios E. Diamantis, Panagiotis G. Kalozoumis
Digital Twin for Simulation and Evaluation of Assistive Navigation Systems. Digital Twins for Digital Transformation 2022: 147-170 - [i4]Dimitrios E. Diamantis, Dimitris K. Iakovidis:
Fuzzy Pooling. CoRR abs/2202.08372 (2022) - [i3]George Dimas, Eirini Cholopoulou, Dimitris K. Iakovidis:
E Pluribus Unum Interpretable Convolutional Neural Networks. CoRR abs/2208.05369 (2022) - 2021
- [j38]Dimitrios E. Diamantis
ASML: Algorithm-Agnostic Architecture for Scalable Machine Learning. IEEE Access 9: 51970-51982 (2021) - [j37]Charis Ntakolia
A swarm intelligence graph-based pathfinding algorithm (SIGPA) for multi-objective route planning. Comput. Oper. Res. 133: 105358 (2021) - [j36]Dimitrios E. Diamantis
Fuzzy Pooling. IEEE Trans. Fuzzy Syst. 29(11): 3481-3488 (2021) - [c56]Panagiota Gatoula, George Dimas, Dimitris K. Iakovidis, Anastasios Koulaouzidis
Enhanced CNN-Based Gaze Estimation on Wireless Capsule Endoscopy Images. CBMS 2021: 189-195 - [c55]George Dimas, Panagiota Gatoula, Dimitris K. Iakovidis:
MonoSOD: Monocular Salient Object Detection based on Predicted Depth. ICRA 2021: 4377-4383 - [c54]George Dimas, Eirini Cholopoulou, Dimitris K. Iakovidis:
Self-Supervised Soft Obstacle Detection for Safe Navigation of Visually Impaired People. IST 2021: 1-6 - [c53]Georgia Sovatzidi, Panagiota Gatoula, Michael D. Vasilakakis, Dimitris K. Iakovidis:
Explainable Fuzzy Texture Words Model for Automatic Bone Fracture Identification. IST 2021: 1-6 - [c52]Michael Vasilakakis
Explainable Classification of Weakly Annotated Wireless Capsule Endoscopy Images Based on a Fuzzy Bag-of-Colour Features Model and Brain Storm Optimization. MICCAI (3) 2021: 488-498 - [c51]Michael D. Vasilakakis, Dimitris K. Iakovidis, George Koulaouzidis:
A Constructive Fuzzy Representation Model for Heart Data Classification. MIE 2021: 13-17 - [i2]Dimitris K. Iakovidis, Melanie Ooi, Ye Chow Kuang, Serge Demidenko, Alexandr Shestakov, Vladimir Sinistin, Manus Henry, Andrea Sciacchitano, Stefano Discetti, Silvano Donati, Michele Norgia, Andreas Menychtas, Ilias Maglogiannis, Selina C. Wriessnegger
Roadmap on Signal Processing for Next Generation Measurement Systems. CoRR abs/2111.02493 (2021) - 2020
- [j35]Michael D. Vasilakakis, Dimitris Diamantis, Evaggelos Spyrou, Anastasios Koulaouzidis
Weakly supervised multilabel classification for semantic interpretation of endoscopy video frames. Evol. Syst. 11(3): 409-421 (2020) - [j34]George Dimas, Dimitris Diamantis, Panagiotis Kalozoumis
Uncertainty-Aware Visual Perception System for Outdoor Navigation of the Visually Challenged. Sensors 20(8): 2385 (2020) - [j33]Dimitris K. Iakovidis
Sensors, Signal and Image Processing in Biomedicine and Assisted Living. Sensors 20(18): 5071 (2020) - [c50]Dimitra-Christina C. Koutsiou, Michalis A. Savelonas, Dimitris K. Iakovidis:
H-V Shadow Detection Based on Electromagnetism-Like Optimization. EUSIPCO 2020: 635-639 - [c49]Georgia Sovatzidi, Michalis A. Savelonas, Dimitra-Christina C. Koutsiou, Dimitris K. Iakovidis:
Image Segmentation based on Determinative Brain Storm optimization. SMAP 2020: 1-6 - [c48]Georgia Sovatzidi, Dimitris K. Iakovidis:
Determinative Brain Storm Optimization. ICSI 2020: 259-271 - [i1]George Pantazis, George Dimas, Dimitris K. Iakovidis:
SalSum: Saliency-based Video Summarization using Generative Adversarial Networks. CoRR abs/2011.10432 (2020)
2010 – 2019
- 2019
- [j32]Dimitrios E. Diamantis, Dimitrios K. Iakovidis
Look-behind fully convolutional neural network for computer-aided endoscopy. Biomed. Signal Process. Control. 49: 192-201 (2019) - [j31]László Barna Iantovics
II-Learn - A Novel Metric for Measuring the Intelligence Increase and Evolution of Artificial Learning Systems. Int. J. Comput. Intell. Syst. 12(2): 1323-1338 (2019) - [j30]Dimitrios K. Iakovidis
Deep Endoscopic Visual Measurements. IEEE J. Biomed. Health Informatics 23(6): 2211-2219 (2019) - [c47]George Dimas, Dimitrios K. Iakovidis, Anastasios Koulaouzidis
MedGaze: Gaze Estimation on WCE Images Based on a CNN Autoencoder. BIBE 2019: 363-367 - [c46]Dimitris Diamantis, Athena Zacharia, Dimitrios K. Iakovidis, Anastasios Koulaouzidis
Towards the Substitution of Real with Artificially Generated Endoscopic Images for CNN Training. BIBE 2019: 519-524 - [c45]Michael Vasilakakis, Varvara Iosifidou, Panagiota Fragkaki, Dimitrios K. Iakovidis:
Bone Fracture Identification in X-Ray Images using Fuzzy Wavelet Features. BIBE 2019: 726-730 - [c44]Natalia Panagou
On Predicting Bottlenecks in Wavefront Parallel Video Coding Using Deep Neural Networks. EANN 2019: 501-510 - [c43]Dimitrios E. Diamantis, Dimitra-Christina C. Koutsiou, Dimitrios K. Iakovidis:
Staircase Detection Using a Lightweight Look-Behind Fully Convolutional Neural Network. EANN 2019: 522-532 - [c42]George Dimas, Charis Ntakolia
Obstacle Detection Based on Generative Adversarial Networks and Fuzzy Sets for Computer-Assisted Navigation. EANN 2019: 533-544 - 2018
- [j29]Michael D. Vasilakakis, Dimitrios K. Iakovidis
DINOSARC: Color Features Based on Selective Aggregation of Chromatic Image Components for Wireless Capsule Endoscopy. Comput. Math. Methods Medicine 2018: 2026962:1-2026962:11 (2018) - [j28]László Kovács, László Barna Iantovics
IntraClusTSP - An Incremental Intra-Cluster Refinement Heuristic Algorithm for Symmetric Travelling Salesman Problem. Symmetry 10(12): 663 (2018) - [j27]Dimitrios K. Iakovidis
Detecting and Locating Gastrointestinal Anomalies Using Deep Learning and Iterative Cluster Unification. IEEE Trans. Medical Imaging 37(10): 2196-2210 (2018) - [c41]Dimitris Diamantis, Dimitrios K. Iakovidis, Anastasios Koulaouzidis
Investigating Cross-Dataset Abnormality Detection in Endoscopy with A Weakly-Supervised Multiscale Convolutional Neural Network. ICIP 2018: 3124-3128 - 2017
- [j26]George Dimas, Evaggelos Spyrou, Dimitrios K. Iakovidis, Anastasios Koulaouzidis
Intelligent visual localization of wireless capsule endoscopes enhanced by color information. Comput. Biol. Medicine 89: 429-440 (2017) - [c40]George Dimas, Dimitrios K. Iakovidis, Gastone Ciuti
Visual Localization of Wireless Capsule Endoscopes Aided by Artificial Neural Networks. CBMS 2017: 734-738 - [c39]Michael D. Vasilakakis, Dimitrios K. Iakovidis, Evaggelos Spyrou, Dimitris Chatzis, Anastasios Koulaouzidis
Beyond Lesion Detection: Towards Semantic Interpretation of Endoscopy Videos. EANN 2017: 379-390 - 2016
- [c38]Michael Vasilakakis, Dimitrios K. Iakovidis, Evaggelos Spyrou, Anastasios Koulaouzidis
Weakly-Supervised Lesion Detection in Video Capsule Endoscopy Based on a Bag-of-Colour Features Model. CARE@MICCAI 2016: 96-103 - [c37]Dimitrios K. Iakovidis, Dimitra Douska, Evaggelia Barba, George Koulaouzidis:
Wavelet-based signal analysis for heart failure hospitalization prediction. pHealth 2016: 21-26 - 2015
- [j25]Anastasios Koulaouzidis
Robust capsule endoscopy lesion quantification and localization systems. Comput. Biol. Medicine 65: 267-268 (2015) - [j24]Evaggelos Spyrou, Dimitrios K. Iakovidis, Stavros Niafas, Anastasios Koulaouzidis
Comparative assessment of feature extraction methods for visual odometry in wireless capsule endoscopy. Comput. Biol. Medicine 65: 297-307 (2015) - [c36]Dimitrios K. Iakovidis, Dimitris Chatzis, Panos Chrysanthopoulos, Anastasios Koulaouzidis
Blood detection in wireless capsule endoscope images based on salient superpixels. EMBC 2015: 731-734 - 2014
- [c35]Dimitrios K. Iakovidis, Anastasios Koulaouzidis
Automatic lesion detection in wireless capsule endoscopy - A simple solution for a complex problem. ICIP 2014: 2236-2240 - 2013
- [j23]Elpiniki I. Papageorgiou
Intuitionistic Fuzzy Cognitive Maps. IEEE Trans. Fuzzy Syst. 21(2): 342-354 (2013) - [c34]Dimitrios K. Iakovidis
Efficient homography-based video visualization for wireless capsule endoscopy. BIBE 2013: 1-4 - [c33]Dimitrios K. Iakovidis
Capsule endoscope localization based on visual features. BIBE 2013: 1-4 - [c32]Evaggelos Spyrou, Dimitris Diamantis, Dimitrios K. Iakovidis
Panoramic Visual Summaries for Efficient Reading of Capsule Endoscopy Videos. SMAP 2013: 41-46 - 2012
- [j22]Eystratios G. Keramidas, Dimitris Maroulis
ΤND: A Thyroid Nodule Detection System for Analysis of Ultrasound Images and Videos. J. Medical Syst. 36(3): 1271-1281 (2012) - [j21]Dimitrios K. Iakovidis
Image Analysis Framework for Infection Monitoring. IEEE Trans. Biomed. Eng. 59(4): 1135-1144 (2012) - [c31]Christos V. Smailis, Dimitrios K. Iakovidis
Ontology-Based Automatic Image Annotation Exploiting Generalized Qualitative Spatial Semantics. SETN 2012: 299-306 - 2011
- [j20]Dimitrios K. Iakovidis
Intuitionistic Fuzzy Cognitive Maps for Medical Decision Making. IEEE Trans. Inf. Technol. Biomed. 15(1): 100-107 (2011) - [c30]Dimitrios K. Iakovidis
Intuitionistic fuzzy reasoning with cognitive maps. FUZZ-IEEE 2011: 821-827 - 2010
- [j19]Dimitrios K. Iakovidis
Fusion of fuzzy statistical distributions for classification of thyroid ultrasound patterns. Artif. Intell. Medicine 50(1): 33-41 (2010) - [j18]Dimitris G. Bariamis, Dimitrios K. Iakovidis
M3G: Maximum Margin Microarray Gridding. BMC Bioinform. 11: 49 (2010) - [j17]Dimitris G. Bariamis, Dimitris Maroulis
Unsupervised SVM-based gridding for DNA microarray images. Comput. Medical Imaging Graph. 34(6): 418-425 (2010) - [j16]Dimitrios K. Iakovidis
Reduction of capsule endoscopy reading times by unsupervised image mining. Comput. Medical Imaging Graph. 34(6): 471-478 (2010) - [j15]Dimitris G. Bariamis, Dimitris Maroulis
Adaptable, Fast, Area-Efficient Architecture for Logarithm Approximation with Arbitrary Accuracy on FPGA. J. Signal Process. Syst. 58(3): 301-310 (2010)
2000 – 2009
- 2009
- [j14]Dimitrios K. Iakovidis
A Pattern Similarity Scheme for Medical Image Retrieval. IEEE Trans. Inf. Technol. Biomed. 13(4): 442-450 (2009) - [j13]Michalis A. Savelonas, Dimitrios K. Iakovidis
Active Contours Guided by Echogenicity and Texture for Delineation of Thyroid Nodules in Ultrasound Images. IEEE Trans. Inf. Technol. Biomed. 13(4): 519-527 (2009) - [c29]Spyros Tsevas
Mining Patterns of Lung Infections in Chest Radiographs. AIAI 2009: 205-213 - 2008
- [j12]Nikos Pelekis, Dimitrios K. Iakovidis, Evangelos E. Kotsifakos, Ioannis Kopanakis:
Fuzzy clustering of intuitionistic fuzzy data. Int. J. Bus. Intell. Data Min. 3(1): 45-65 (2008) - [j11]Michalis A. Savelonas, Dimitrios K. Iakovidis
LBP-guided active contours. Pattern Recognit. Lett. 29(9): 1404-1415 (2008) - [j10]Dimitrios E. Maroulis
FPGA-based System for Real-Time Video Texture Analysis. J. Signal Process. Syst. 53(3): 419-433 (2008) - [c28]Dimitrios K. Iakovidis, Nikos Pelekis, Evangelos E. Kotsifakos, Ioannis Kopanakis:
Intuitionistic Fuzzy Clustering with Applications in Computer Vision. ACIVS 2008: 764-774 - [c27]Dimitris G. Bariamis, Dimitris Maroulis
Automatic DNA microarray gridding based on Support Vector Machines. BIBE 2008: 1-5 - [c26]Dimitrios K. Iakovidis
Versatile approximation of the lung field boundaries in chest radiographs in the presence of bacterial pulmonary infections. BIBE 2008: 1-6 - [c25]Spyros Tsevas
Automatic frame reduction of Wireless Capsule Endoscopy video. BIBE 2008: 1-6 - [c24]Eystratios G. Keramidas, Dimitrios K. Iakovidis
Thyroid Texture Representation via Noise Resistant Image Features. CBMS 2008: 560-565 - [c23]Eystratios G. Keramidas, Dimitrios K. Iakovidis, Dimitrios E. Maroulis:
Noise-robust statistical feature distributions for texture analysis. EUSIPCO 2008: 1-5 - [c22]Dimitrios K. Iakovidis
Fuzzy Local Binary Patterns for Ultrasound Texture Characterization. ICIAR 2008: 750-759 - [c21]Michalis A. Savelonas, Dimitris Maroulis
Computer-Aided Malignancy Risk Assessment of Nodules in Thyroid US Images Utilizing Boundary Descriptors. Panhellenic Conference on Informatics 2008: 157-160 - [c20]Spyros Tsevas
Non-negative Matrix Factorization for Endoscopic Video Summarization. SETN 2008: 425-430 - 2007
- [j9]Dimitrios K. Iakovidis
A genetically optimized level set approach to segmentation of thyroid ultrasound images. Appl. Intell. 27(3): 193-203 (2007) - [j8]Dimitrios K. Iakovidis
FPGA architecture for fast parallel computation of co-occurrence matrices. Microprocess. Microsystems 31(2): 160-165 (2007) - [j7]Dimitrios E. Maroulis
Variable Background Active Contour Model for Computer-Aided Delineation of Nodules in Thyroid Ultrasound Images. IEEE Trans. Inf. Technol. Biomed. 11(5): 537-543 (2007) - [c19]Dimitrios K. Iakovidis, Michalis A. Savelonas, Dimitris Maroulis:
Adaptive Vision System for Segmentation of Echographic Medical Images Based on a Modified Mumford-Shah Functional. ACIVS 2007: 565-574 - [c18]Michalis A. Savelonas, Dimitrios K. Iakovidis
Computational Characterization of Thyroid Tissue in the Radon Domain. CBMS 2007: 189-192 - [c17]Michalis A. Savelonas, Dimitrios K. Iakovidis, Dimitris Maroulis:
Bimodal Texture Segmentation with the Lee-Seo Model. ICIAR 2007: 246-253 - [c16]Eystratios G. Keramidas, Dimitrios K. Iakovidis, Dimitris Maroulis, Stavros A. Karkanis:
Efficient and Effective Ultrasound Image Analysis Scheme for Thyroid Nodule Detection. ICIAR 2007: 1052-1060 - 2006
- [j6]Dimitrios K. Iakovidis
An intelligent system for automatic detection of gastrointestinal adenomas in video endoscopy. Comput. Biol. Medicine 36(10): 1084-1103 (2006) - [j5]Dimitrios E. Maroulis
Microarray-MD: A system for exploratory analysis of microarray gene expression data. Comput. Methods Programs Biomed. 83(2): 157-167 (2006) - [j4]Ilias N. Flaounas, Dimitrios K. Iakovidis
Cascading SVMS as a Tool for Medical Diagnosis Using Multi-class Gene Expression Data. Int. J. Artif. Intell. Tools 15(3): 335-352 (2006) - [j3]Panagiotis Papageorgas
A High-Performance Imaging and Control System for a Micromirror-Based Laser-Scanning Endoscope Device. IEEE Trans. Instrum. Meas. 55(5): 1725-1733 (2006) - [c15]Dimitris G. Bariamis, Dimitrios K. Iakovidis, Dimitrios E. Maroulis:
Dedicated Hardware for Real-Time Computation of Second-Order Statistical Features for High Resolution Images. ACIVS 2006: 67-77 - [c14]Michalis A. Savelonas, Dimitrios K. Iakovidis, Dimitrios E. Maroulis, Stavros A. Karkanis:
An Active Contour Model Guided by LBP Distributions. ACIVS 2006: 197-207 - [c13]Haralampos Karanikas, Nikos Pelekis, Dimitrios K. Iakovidis, Ioannis Kopanakis, Thomas Mavroudakis, Yannis Theodoridis:
MetaOn - Ontology Driven Metadata Construction and Management for Intelligent Search in Text and Image Collections. DEXA Workshops 2006: 450-454 - [c12]Michalis A. Savelonas, Dimitrios K. Iakovidis
An LBP-Based Active Contour Algorithm for Unsupervised Texture Segmentation. ICPR (2) 2006: 279-282 - [c11]Dimitrios K. Iakovidis
Segmentation of Medical Images with Regional Inhomogeneities. ICPR (3) 2006: 976-979 - [c10]Dimitrios E. Maroulis
A gene expression analysis system for medical diagnosis. AIAI 2006: 459-466 - 2005
- [c9]Dimitrios E. Maroulis, Michalis A. Savelonas, Stavros A. Karkanis, Dimitrios K. Iakovidis, Nikolaos Dimitropoulos:
Computer-Aided Thyroid Nodule Detection in Ultrasound Images. CBMS 2005: 271-276 - [c8]Dimitrios K. Iakovidis
A Comparative Study of Texture Features for the Discrimination of Gastric Polyps in Endoscopic Video. CBMS 2005: 575-580 - [c7]Michalis A. Savelonas, Dimitrios E. Maroulis
A variable background active contour model for automatic detection of thyroid nodules in ultrasound images. ICIP (1) 2005: 17-20 - 2004
- [b1]Dimitrios K. Iakovidis:
Συλλογή και επεξεργασία πολυκαναλικών ιατρικών δεδομένων. National and Kapodistrian University of Athens, Greece, 2004 - [c6]Stavros A. Karkanis, Dimitrios K. Iakovidis, Dimitrios E. Maroulis:
Color textural features under varying illumination. ICIP 2004: 1505-1508 - [c5]Dimitris G. Bariamis, Dimitrios K. Iakovidis
An FPGA-Based Architecture for Real Time Image Feature Extraction. ICPR (1) 2004: 801-804 - 2003
- [j2]Dimitrios E. Maroulis
CoLD: a versatile detection system for colorectal lesions in endoscopy video-frames. Comput. Methods Programs Biomed. 70(2): 151-166 (2003) - [j1]S. A. Karkanis, Dimitrios K. Iakovidis
Computer-aided tumor detection in endoscopic video using color wavelet features. IEEE Trans. Inf. Technol. Biomed. 7(3): 141-152 (2003) - [c4]Dimitrios K. Iakovidis
Color Texture Recognition in Video Sequences using Wavelet Covariance Features and Support Vector Machines. EUROMICRO 2003: 199-205 - 2001
- [c3]Stavros A. Karkanis, George D. Magoulas
Evaluation of textural feature extraction schemes for neural network-based interpretation of regions in medical images. ICIP (1) 2001: 281-284 - [c2]Stavros A. Karkanis, Dimitrios K. Iakovidis, Dimitrios E. Maroulis, Dimitris A. Karras
Detection of lesions in endoscopic video using textural descriptors on wavelet domain supported by artificial neural network. ICIP (2) 2001: 833-836 - 2000
- [c1]S. A. Karkanis, Dimitrios K. Iakovidis
Tumor Recognition in Endoscopic Video Images Using Artificial Neural Network Architectures. EUROMICRO 2000: 2423-
Coauthor Index
Panagiotis Kalozoumis
aka: Panagiotis G. Kalozoumis
aka: Panagiotis G. Kalozoumis
Stavros A. Karkanis
aka: S. A. Karkanis
aka: S. A. Karkanis
Dimitrios E. Maroulis
aka: Dimitris Maroulis
aka: Dimitris Maroulis
Michael Vasilakakis
aka: Michael D. Vasilakakis
aka: Michael D. Vasilakakis
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from .
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last updated on 2024-11-11 22:25 CET by the dblp team
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