Classifier Fusion Approaches for Diagnostic Cancer Models. - Ioannis N. Dimou; Georgios C. Manikis; Michalis E. Zervakis (EMBC, 2006)

Pattern Recognition Methods for Acute Myeloid Leukemia (AML) Induction-Treatment Analysis. - Georgios C. Manikis; Michail G. Kounelakis; Michalis E. Zervakis (Computational Intelligence and Bioengineering, 2009)

An innovative mathematical analysis of routine MRI scans in patients with glioblastoma using DoctorEye. - Jonathan Zepp; Norbert M. Graf; Holger Stenzhorn; Wolfgang Reith; Ioannis Karatzanis; Georgios C. Manikis; Vangelis Sakkalis; Konstantinos Marias; Georgios S. Stamatakos (BIBE, 2012)

A software prototype for the assessment of tumor treatment response using diffusion and perfusion MR imaging. - Vangelis Sakkalis; Georgios C. Manikis; Nikolaos Papanikolaou 003; Ioannis Karatzanis; Kostas Marias (EMBC, 2012)

Clinical evaluation of DoctorEye platform in nephroblastoma. - Ruslan David; Norbert M. Graf; Ioannis Karatzanis; Holger Stenzhorn; Georgios C. Manikis; Vangelis Sakkalis; Georgios S. Stamatakos; Konstantinos Marias (IARWISOI, 2012)

High-Grade Glioma Diffusive Modeling Using Statistical Tissue Information and Diffusion Tensors Extracted from Atlases. - Alexandros Roniotis; Georgios C. Manikis; Vangelis Sakkalis; Michalis E. Zervakis; Ioannis Karatzanis; Kostas Marias (IEEE Trans. Inf. Technol. Biomed., 2012)

Multi-Modal Medical Data Analysis Platform (3MDAP) for analysis and predictive modelling of cancer trial data. - Georgios C. Manikis; Evaggelia Maniadi; Manolis Tsiknakis; Kostas Marias (IARWISOI, 2014)

Diffusion Modelling Tool (DMT) for the analysis of Diffusion Weighted Imaging (DWI) Magnetic Resonance Imaging (MRI) data. - Georgios C. Manikis; Katerina Nikiforaki; Nikolaos Papanikolaou 003; Kostas Marias (CGI (Short Papers), 2016)

Visualizing tumor environment with perfusion and diffusion MRI: Computational challenges. - Kostas Marias; Katerina Nikiforaki; Georgios C. Manikis; Eleftherios Kontopodis; Nikolaos Papanikolaou 003 (CGI (Short Papers), 2016)

Developing a Context-Dependent Tuning Framework of Multi-channel Biometrics that Combine Audio-Visual Characteristics for Secure Access of an eHealth Platform. - Marios Spanakis; Georgios C. Manikis; Sakshi Porwal; Emmanouil G. Spanakis (MobiHealth, 2017)

Incremental diagnostic information obtained via novel Dynamic Contrast Enhanced MRI framework applied on Multiple Sclerosis patients: A preliminary study. - Eleftherios E. Kontopodis; Georgios C. Manikis; Katerina Nikiforaki; Maria Venianaki; Kostas Marias; Thomas G. Maris; Apostolos Karantanas; Efrosini Papadaki (BHI, 2018)

DCE-MRI radiomics features for predicting breast cancer neoadjuvant therapy response. - Eleftherios Kontopodis; Georgios C. Manikis; Iraklis Skepasianos; K. Tzagkarakis; Katerina Nikiforaki; Georgios Z. Papadakis; Thomas G. Maris; Efrosini Papadaki; Apostolos Karantanas; Kostas Marias (IST, 2018)

Computational Modeling of Psychological Resilience Trajectories During Breast Cancer Treatment. - 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; et al. (BIBE, 2019)

Scale-Space DCE-MRI Radiomics Analysis Based on Gabor Filters for Predicting Breast Cancer Therapy Response. - Georgios C. Manikis; Maria Venianaki; Iraklis Skepasianos; Georgios Z. Papadakis; Thomas G. Maris; Sofia Agelaki; Apostolos Karantanas; Kostas Marias (BIBE, 2019)

Sparse Representations on DW-MRI: A Study on Pancreas. - Anastasia Pentari; Grigorios Tsagkatakis; Kostas Marias; Georgios C. Manikis; Nikolaos Kartalis; Nikolaos Papanikolaou 003; Panagiotis Tsakalides (BIBE, 2019)

Pollen Grain Classification using Geometrical and Textural Features. - Georgios C. Manikis; Kostas Marias; E. Alissandrakis; L. Perrotto; E. Savvidaki; Nikolaos Vidakis (IST, 2019)

Machine Learning Classification of Neuropsychiatric Systemic Lupus Erythematosus patients using resting-state fMRI functional connectivity. - Nicholas John Simos; Georgios C. Manikis; Efrosini Papadaki; Eleftherios Kavroulakis; George Bertsias; Konstantinos Marias (IST, 2019)

Investigating the Role of Model-Based and Model-Free Imaging Biomarkers as Early Predictors of Neoadjuvant Breast Cancer Therapy Outcome. - Eleftherios Kontopodis; Maria Venianaki; Georgios C. Manikis; Katerina Nikiforaki; Ovidio Salvetti; Efrosini Papadaki; Georgios Z. Papadakis; Apostolos Karantanas; Kostas Marias (IEEE J. Biomed. Health Informatics, 2019)

Extending 2-D Convolutional Neural Networks to 3-D for Advancing Deep Learning Cancer Classification With Application to MRI Liver Tumor Differentiation. - Eleftherios Trivizakis; Georgios C. Manikis; Katerina Nikiforaki; Konstantinos Drevelegas; Manos Constantinides; Antonios Drevelegas; Kostas Marias (IEEE J. Biomed. Health Informatics, 2019)

Prediction of Poor Mental Health Following Breast Cancer Diagnosis Using Random Forests1. - 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; et al. (EMBC, 2021)

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. - 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; et al. (Comput. Biol. Medicine, 2021)

Deep learning for diabetic retinopathy detection and classification based on fundus images: A review. - Nikos Tsiknakis; Dimitris Theodoropoulos; Georgios C. Manikis; Emmanouil Ktistakis; Ourania Boutsora; Alexa Berto; Fabio Scarpa; Alberto Scarpa; Dimitrios I. Fotiadis; Kostas Marias (Comput. Biol. Medicine, 2021)

Explainable machine learning analysis of longitudinal mental health trajectories after breast cancer diagnosis. - 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 (BHI, 2022)

Semantic Segmentation of Diabetic Retinopathy Lesions, Using a UNET with Pretrained Encoder. - Dimitrios Theodoropoulos; Georgios C. Manikis; Kostas Marias; Giorgos Papadourakis (EANN, 2022)

Trajectories and Predictors of Depression After Breast Cancer Diagnosis: A 1-year longitudinal study. - 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; et al. (EMBC, 2022)

Harmonization Strategies in Multicenter MRI-Based Radiomics. - Elisavet Stamoulou; Constantinos Spanakis; Georgios C. Manikis; Georgia S. Karanasiou; Grigoris Grigoriadis; Theodoros Foukakis; Manolis Tsiknakis; Dimitrios I. Fotiadis; Kostas Marias (J. Imaging, 2022)

Predicting Quality of Life for Breast Cancer Patients *. - 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; et al. (BHI, 2023)

CARDIOCARE platform: A beyond the state of the art approach for the management of elderly multimorbid patients with breast cancer therapy induced cardiac toxicity*. - 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; et al. (BIBM, 2023)

CARDIOCARE: An integrated platform for the management of elderly multimorbid patients with breast cancer therapy induced cardiac toxicity. - 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; et al. (EMBC, 2023)

Multiresolution Self-Supervised Feature Integration via Attention Multiple Instance Learning for Histopathology Analysis. - Nikos Tsiknakis; Evangelos Tzoras; Ioannis Zerdes; Georgios C. Manikis; Balazs Acs; Johan Hartman; Thomas Hatschek; Theodoros Foukakis; Kostas Marias (EMBC, 2023)

Ensuring Model Fairness via Stratified Training: TP53 Mutation Prediction with Estrogen Receptor Stratification in Breast Histopathology. - Nikos Tsiknakis; Kang Wang; Dimitrios Salgkamis; Evangelos Tzoras; Georgios C. Manikis; Emmanouil G. Sifakis; Jonas Bergh; Ioannis Zerdes; Kostas Marias; Alexios Matikas; Theodoros Foukakis (EMBC, 2024)

Unveiling the Power of Model-Agnostic Multiscale Analysis for Enhancing Artificial Intelligence Models in Breast Cancer Histopathology Images. - 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; et al. (IEEE J. Biomed. Health Informatics, 2024)