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ORCIDGeorgios C. Manikis
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Journal Articles
- 2025
[j8]Dimitrios Theodoropoulos
, Nikolaos K. Sifakis, Georgios C. Manikis, Giorgos Papadourakis, Konstantinos Armyras, Konstantinos Marias:
Semantic Segmentation of Diabetic Retinopathy Lesions Using Deep Learning. SN Comput. Sci. 6(7): 782 (2025)- 2024
- [j7]Nikos Tsiknakis, Georgios C. Manikis, Evangelos Tzoras, Dimitrios Salgkamis, Joan Martinez Vidal, Kang Wang, Dimitris Zaridis, Emmanouil G. Sifakis, Ioannis Zerdes, Jonas Bergh, Johan Hartman, Balazs Acs, Kostas Marias, Theodoros Foukakis:
Unveiling the Power of Model-Agnostic Multiscale Analysis for Enhancing Artificial Intelligence Models in Breast Cancer Histopathology Images. IEEE J. Biomed. Health Informatics 28(9): 5312-5322 (2024) - 2022
- [j6]Elisavet Stamoulou, Constantinos Spanakis, Georgios C. Manikis, Georgia S. Karanasiou, Grigoris Grigoriadis, Theodoros Foukakis, Manolis Tsiknakis, Dimitrios I. Fotiadis, Kostas Marias:
Harmonization Strategies in Multicenter MRI-Based Radiomics. J. Imaging 8(11): 303 (2022) - 2021
- [j5]Konstantina Kourou, Georgios C. Manikis, Paula Poikonen-Saksela, Ketti Mazzocco, Ruth Pat-Horenczyk, Berta Sousa, Albino J. Oliveira-Maia, Johanna Mattson, Ilan Roziner, Greta Pettini, Haridimos Kondylakis, Kostas Marias, Evangelos Karademas, Panagiotis G. Simos, Dimitrios I. Fotiadis:
A machine learning-based pipeline for modeling medical, socio-demographic, lifestyle and self-reported psychological traits as predictors of mental health outcomes after breast cancer diagnosis: An initial effort to define resilience effects. Comput. Biol. Medicine 131: 104266 (2021) - [j4]Nikos Tsiknakis, Dimitris Theodoropoulos, Georgios C. Manikis, Emmanouil Ktistakis, Ourania Boutsora, Alexa Berto, Fabio Scarpa, Alberto Scarpa, Dimitrios I. Fotiadis, Kostas Marias:
Deep learning for diabetic retinopathy detection and classification based on fundus images: A review. Comput. Biol. Medicine 135: 104599 (2021) - 2019
- [j3]Eleftherios Trivizakis, Georgios C. Manikis, Katerina Nikiforaki, Konstantinos Drevelegas, Manos Constantinides, Antonios Drevelegas, Kostas Marias:
Extending 2-D Convolutional Neural Networks to 3-D for Advancing Deep Learning Cancer Classification With Application to MRI Liver Tumor Differentiation. IEEE J. Biomed. Health Informatics 23(3): 923-930 (2019) - [j2]Eleftherios Kontopodis, Maria Venianaki, Georgios C. Manikis, Katerina Nikiforaki, Ovidio Salvetti, Efrosini Papadaki, Georgios Z. Papadakis, Apostolos Karantanas, Kostas Marias:
Investigating the Role of Model-Based and Model-Free Imaging Biomarkers as Early Predictors of Neoadjuvant Breast Cancer Therapy Outcome. IEEE J. Biomed. Health Informatics 23(5): 1834-1843 (2019) - 2012
- [j1]Alexandros Roniotis, Georgios C. Manikis, Vangelis Sakkalis, Michalis E. Zervakis, Ioannis Karatzanis, Kostas Marias:
High-Grade Glioma Diffusive Modeling Using Statistical Tissue Information and Diffusion Tensors Extracted from Atlases. IEEE Trans. Inf. Technol. Biomed. 16(2): 255-263 (2012)
Conference and Workshop Papers
- 2024
- [c25]Nikos Tsiknakis, Kang Wang, Dimitrios Salgkamis, Evangelos Tzoras, Georgios C. Manikis, Emmanouil G. Sifakis, Jonas Bergh, Ioannis Zerdes, Kostas Marias, Alexios Matikas, Theodoros Foukakis:
Ensuring Model Fairness via Stratified Training: TP53 Mutation Prediction with Estrogen Receptor Stratification in Breast Histopathology. EMBC 2024: 1-5 - [c24]Aristeidis Petrakis, Eugenia Mylona, Konstantina Kourou, Georgios C. Manikis, Haridimos Kondylakis, Kostas Marias, Paula Poikonen-Saksela, Panagiotis G. Simos, Evangelos Karademas, Ketti Mazzocco, Ruth Pat-Horenczyk, Berta Sousa, Dimitrios I. Fotiadis:
The Causal Effect of Personality Traits on the Mental Health in Breast Cancer Patients Under the Occurrence of Negative Life Events. PervasiveHealth (1) 2024: 110-141 - 2023
- [c23]Christos Raspoptsis, Eugenia Mylona, Konstantina Kourou, Georgios C. Manikis, Haridimos Kondylakis, Kostas Marias, Paula Poikonen-Saksela, Panagiotis G. Simos, Evangelos Karademas, Ketti Mazzocco, Ruth Pat-Horenczyk, Berta Sousa, Dimitrios I. Fotiadis:
Predicting Quality of Life for Breast Cancer Patients *. BHI 2023: 1-4 - [c22]Kostas M. Tsiouris, Grigorios Kalliatakis, Ketti Mazzocco, Bostjan Seruga, Kostas Marias, Georgia S. Karanasiou, Athos Antoniades, Andri Papakonstantinou, Constanza Conti, Manolis Tsiknakis, Stelios Sfakianakis, Lampros Lakkas, Gerasimos Filippatos, Anca I. D. Bucur, Dimitrios I. Fotiadis, Georgios C. Manikis, Davide Mauri, Anastasia Constantinidou, Elsa Pacella:
CARDIOCARE platform: A beyond the state of the art approach for the management of elderly multimorbid patients with breast cancer therapy induced cardiac toxicity*. BIBM 2023: 3907-3912 - [c21]Georgia S. Karanasiou, Lefteris Koumakis, Stelios Sfakianakis, Georgios C. Manikis, Gregory Kalliatakis, Athos Antoniades, Lampros Lakkas, Davide Mauri, C. Cipolla, Ketti Mazzocco, Andri Papakonstantinou, Gerasimos Filippatos, Anastasia Constantinidou, Bostjan Seruga, Constanza Conti, Anca I. D. Bucur, Elsa Pacella, Kostas Marias, Manolis Tsiknakis, Dimitris I. Fotiadis:
CARDIOCARE: An integrated platform for the management of elderly multimorbid patients with breast cancer therapy induced cardiac toxicity. EMBC 2023: 1-4 - [c20]Nikos Tsiknakis, Evangelos Tzoras, Ioannis Zerdes, Georgios C. Manikis, Balazs Acs, Johan Hartman, Thomas Hatschek, Theodoros Foukakis, Kostas Marias:
Multiresolution Self-Supervised Feature Integration via Attention Multiple Instance Learning for Histopathology Analysis. EMBC 2023: 1-4 - 2022
- [c19]Eugenia Mylona, Konstantina Kourou, Georgios C. Manikis, Haridimos Kondylakis, Evangelos Karademas, Kostas Marias, Ketti Mazzocco, Paula Poikonen-Saksela, Ruth Pat-Horenczyk, Berta Sousa, Panagiotis G. Simos, Dimitrios I. Fotiadis:
Explainable machine learning analysis of longitudinal mental health trajectories after breast cancer diagnosis. BHI 2022: 1-4 - [c18]Dimitrios Theodoropoulos, Georgios C. Manikis, Kostas Marias, Giorgos Papadourakis:
Semantic Segmentation of Diabetic Retinopathy Lesions, Using a UNET with Pretrained Encoder. EANN 2022: 361-371 - [c17]Eugenia Mylona, Konstantina Kourou, Georgios C. Manikis, Haridimos Kondylakis, Kostas Marias, Evangelos Karademas, Paula Poikonen-Saksela, Ketti Mazzocco, Chiara Marzorati, Ruth Pat-Horenczyk, Ilan Roziner, Berta Sousa, Albino J. Oliveira-Maia, Panagiotis G. Simos, Dimitrios I. Fotiadis:
Trajectories and Predictors of Depression After Breast Cancer Diagnosis: A 1-year longitudinal study. EMBC 2022: 69-72 - 2021
- [c16]Eugenia Mylona, Konstantina Kourou, Georgios C. Manikis, Haridimos Kondylakis, Kostas Marias, Evangelos Karademas, Paula Poikonen-Saksela, Ketti Mazzocco, Chiara Marzorati, Ruth Pat-Horenczyk, Ilan Roziner, Berta Sousa, Albino J. Oliveira-Maia, Panagiotis G. Simos, Dimitrios I. Fotiadis:
Prediction of Poor Mental Health Following Breast Cancer Diagnosis Using Random Forests1. EMBC 2021: 1753-1756 - 2019
- [c15]Georgios C. Manikis, Ruth Pat-Horenczyk, Dimitrios I. Fotiadis, Manolis Tsiknakis, Panagiotis G. Simos, Konstantina Kourou, Paula Poikonen-Saksela, Haridimos Kondylakis, Evangelos Karademas, Kostas Marias, Dimitrios G. Katehakis, Lefteris Koumakis, Angelina Kouroubali:
Computational Modeling of Psychological Resilience Trajectories During Breast Cancer Treatment. BIBE 2019: 423-427 - [c14]Anastasia Pentari, Grigorios Tsagkatakis, Kostas Marias, Georgios C. Manikis, Nikolaos Kartalis, Nikolaos Papanikolaou, Panagiotis Tsakalides:
Sparse Representations on DW-MRI: A Study on Pancreas. BIBE 2019: 791-795 - [c13]Georgios C. Manikis, Maria Venianaki, Iraklis Skepasianos, Georgios Z. Papadakis, Thomas G. Maris, Sofia Agelaki, Apostolos Karantanas, Kostas Marias:
Scale-Space DCE-MRI Radiomics Analysis Based on Gabor Filters for Predicting Breast Cancer Therapy Response. BIBE 2019: 994-1001 - [c12]Georgios C. Manikis, Kostas Marias, E. Alissandrakis, L. Perrotto, E. Savvidaki, Nikolaos Vidakis:
Pollen Grain Classification using Geometrical and Textural Features. IST 2019: 1-6 - [c11]Nicholas John Simos, Georgios C. Manikis, Efrosini Papadaki, Eleftherios Kavroulakis, George Bertsias, Konstantinos Marias:
Machine Learning Classification of Neuropsychiatric Systemic Lupus Erythematosus patients using resting-state fMRI functional connectivity. IST 2019: 1-6 - 2018
- [c10]Eleftherios E. Kontopodis, Georgios C. Manikis, Katerina Nikiforaki, Maria Venianaki, Kostas Marias, Thomas G. Maris, Apostolos Karantanas, Efrosini Papadaki:
Incremental diagnostic information obtained via novel Dynamic Contrast Enhanced MRI framework applied on Multiple Sclerosis patients: A preliminary study. BHI 2018: 46-49 - [c9]Eleftherios Kontopodis, Georgios C. Manikis, Iraklis Skepasianos, K. Tzagkarakis, Katerina Nikiforaki, Georgios Z. Papadakis, Thomas G. Maris, Efrosini Papadaki, Apostolos Karantanas, Kostas Marias:
DCE-MRI radiomics features for predicting breast cancer neoadjuvant therapy response. IST 2018: 1-6 - 2017
- [c8]Marios Spanakis, Georgios C. Manikis, Sakshi Porwal, Emmanouil G. Spanakis:
Developing a Context-Dependent Tuning Framework of Multi-channel Biometrics that Combine Audio-Visual Characteristics for Secure Access of an eHealth Platform. MobiHealth 2017: 190-198 - 2016
- [c7]Georgios C. Manikis, Katerina Nikiforaki, Nikolaos Papanikolaou, Kostas Marias:
Diffusion Modelling Tool (DMT) for the analysis of Diffusion Weighted Imaging (DWI) Magnetic Resonance Imaging (MRI) data. CGI (Short Papers) 2016: 97-100 - [c6]Kostas Marias, Katerina Nikiforaki, Georgios C. Manikis, Eleftherios Kontopodis, Nikolaos Papanikolaou:
Visualizing tumor environment with perfusion and diffusion MRI: Computational challenges. CGI (Short Papers) 2016: 113-116 - 2014
- [c5]Georgios C. Manikis, Evaggelia Maniadi, Manolis Tsiknakis, Kostas Marias:
Multi-Modal Medical Data Analysis Platform (3MDAP) for analysis and predictive modelling of cancer trial data. IARWISOI 2014: 1-4 - 2012
- [c4]Jonathan Zepp, Norbert M. Graf, Holger Stenzhorn, Wolfgang Reith, Ioannis Karatzanis, Georgios C. Manikis, Vangelis Sakkalis, Konstantinos Marias, Georgios S. Stamatakos:
An innovative mathematical analysis of routine MRI scans in patients with glioblastoma using DoctorEye. BIBE 2012: 620-625 - [c3]Vangelis Sakkalis, Georgios C. Manikis, Nikolaos Papanikolaou, Ioannis Karatzanis, Kostas Marias:
A software prototype for the assessment of tumor treatment response using diffusion and perfusion MR imaging. EMBC 2012: 388-391 - [c2]Ruslan David, Norbert M. Graf, Ioannis Karatzanis, Holger Stenzhorn, Georgios C. Manikis, Vangelis Sakkalis, Georgios S. Stamatakos, Konstantinos Marias:
Clinical evaluation of DoctorEye platform in nephroblastoma. IARWISOI 2012: 1-4 - 2006
- [c1]Ioannis N. Dimou, Georgios C. Manikis, Michalis E. Zervakis:
Classifier Fusion Approaches for Diagnostic Cancer Models. EMBC 2006: 5334-5337
Parts in Books or Collections
- 2009
- [p1]Georgios C. Manikis, Michail G. Kounelakis, Michalis E. Zervakis:
Pattern Recognition Methods for Acute Myeloid Leukemia (AML) Induction-Treatment Analysis. Computational Intelligence and Bioengineering 2009: 69-80
Coauthor Index
aka: Dimitris I. Fotiadis
aka: Konstantinos Marias
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