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)

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

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)

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)

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

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)

Computational signal analysis methods for information extraction with applications in biomedicine - Michael Vasilakakis (2020)

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)

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)

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)

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

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

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

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