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ORCIDDimitrios I. Zaridis
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2020 – today
- 2025
[c6]Eugenia Mylona, Dimitrios I. Zaridis, Charalampos Kalantzopoulos, Vasileios C. Pezoulas, Nikolaos S. Tachos, George K. Matsopoulos, Daniele Regge, Nikolaos Papanikolaou, Manolis Tsiknakis, Kostas Marias, Dimitrios I. Fotiadis:
Large-Scale Radiomics Analysis for Prostate Cancer Detection Harnessing Machine and Deep Learning Models. ISBI 2025: 1-4- [c5]Eleftherios Trivizakis, Eugenia Mylona, Katerina Nikiforaki, Dimitrios I. Zaridis, Manolis Tsiknakis, Dimitrios I. Fotiadis, Nikolaos S. Tachos, Daniele Regge, Nikolaos Papanikolaou, Kostas Marias:
Texture Preserving Deep Learning-Based Noise Reduction for Anatomical Magnetic Resonance Images and its Impact on Imaging Features. SACI 2025: 223-230 - [i1]Varvara Kalokyri, Nikolaos S. Tachos, Charalampos Kalantzopoulos, Stelios Sfakianakis, Haridimos Kondylakis, Dimitrios I. Zaridis, Sara Colantonio, Daniele Regge, Nikolaos Papanikolaou, ProCAncer-I Consortium, Konstantinos Marias, Dimitrios I. Fotiadis, Manolis Tsiknakis:
AI Model Passport: Data and System Traceability Framework for Transparent AI in Health. CoRR abs/2506.22358 (2025) - 2024
- [j2]Dimitrios I. Zaridis, Eugenia Mylona, Nikolaos S. Tachos, Charalampos Kalantzopoulos, Kostas Marias, Manolis Tsiknakis
, George K. Matsopoulos, Dimitrios D. Koutsouris, Dimitrios I. Fotiadis:
ResQu-Net: Effective prostate's peripheral zone segmentation leveraging the representational power of attention-based mechanisms. Biomed. Signal Process. Control. 93: 106187 (2024) - [j1]Dimitrios I. Zaridis, Eugenia Mylona, Nikos Tsiknakis, Nikolaos S. Tachos, George K. Matsopoulos, Kostas Marias, Manolis Tsiknakis, Dimitrios I. Fotiadis:
ProLesA-Net: A multi-channel 3D architecture for prostate MRI lesion segmentation with multi-scale channel and spatial attentions. Patterns 5(7): 100992 (2024) - [c4]Dimitrios I. Zaridis, Eugenia Mylona, Nikolaos S. Tachos, Charalampos Kalantzopoulos, Kostas Marias, Manolis Tsiknakis, Dimitrios I. Fotiadis:
Spatial Attention-Enhanced Encoder-Decoder Network for Accurate Segmentation of the Prostate's Transition Zone. EMBC 2024: 1-4 - 2023
- [c3]Dimitrios I. Zaridis, Eugenia Mylona, Nikolaos S. Tachos, Charalampos Kalantzopoulos, Kostas Marias, Manolis Tsiknakis, Dimitrios D. Koutsouris, George K. Matsopoulos, Dimitrios I. Fotiadis:
Transi-Net: An Explainable Deep Learning Model Ensemble For Prostate's Transition Zone Segmentation. BIBE 2023: 422-426 - [c2]Stavroula C. Tassi, Dimitrios I. Zaridis, Dimitrios I. Fotiadis, Antonis I. Sakellarios:
Synergistic-based Feature Selection for Online Learning with Gaussian Processes. CAI 2023: 141-142 - [c1]Dimitrios I. Zaridis, Eugenia Mylona, Nikolaos S. Tachos, Kostas Marias, Manolis Tsiknakis, Dimitrios I. Fotiadis:
Multi-Channel 3D Deep Learning Architectures for Evaluation of Prostate Lesion Detection. CAI 2023: 148-149
Coauthor Index
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