Georgios C. Manikis

According to our database, Georgios C. Manikis authored at least 31 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Kostas Marias, Theodoros Foukakis

IEEE J. Biomed. Health Informatics, September, 2024

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

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 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, A. Constantinidou, Bostjan Seruga, Constanza Conti, Anca I. D. Bucur, Elsa Pacella, Kostas Marias, Manolis Tsiknakis, Dimitris I. Fotiadis

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 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, Gerasimos Filippatos, Anca I. D. Bucur, Dimitrios I. Fotiadis, Georgios C. Manikis, Davide Mauri, Anastasia Constantinidou, Elsa Pacella

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

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, Dimitrios I. Fotiadis

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

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

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, Albino J. Oliveira-Maia, Panagiotis G. Simos, Dimitrios I. Fotiadis

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Semantic Segmentation of Diabetic Retinopathy Lesions, Using a UNET with Pretrained Encoder.

Dimitrios Theodoropoulos, Georgios C. Manikis, Kostas Marias, Giorgos Papadourakis

Proceedings of the Engineering Applications of Neural Networks, 2022

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

Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

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

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, Evangelos Karademas, Panagiotis G. Simos, Dimitrios I. Fotiadis

Comput. Biol. Medicine, 2021

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, Albino J. Oliveira-Maia, Panagiotis G. Simos, Dimitrios I. Fotiadis

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

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

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

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

Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

Pollen Grain Classification using Geometrical and Textural Features.

Georgios C. Manikis, Kostas Marias, E. Alissandrakis, L. Perrotto, E. Savvidaki, Nikolaos Vidakis

Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

Sparse Representations on DW-MRI: A Study on Pancreas.

Anastasia Pentari, Grigorios Tsagkatakis, Kostas Marias, Georgios C. Manikis, Nikolaos Kartalis, Nikolaos Papanikolaou, Panagiotis Tsakalides

Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 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

Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

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, Angelina Kouroubali

Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

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

Proceedings of the 2018 IEEE International Conference on Imaging Systems and Techniques, 2018

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

Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

2017

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

Proceedings of the Wireless Mobile Communication and Healthcare, 2017

2016

Visualizing tumor environment with perfusion and diffusion MRI: Computational challenges.

Kostas Marias, Katerina Nikiforaki, Georgios C. Manikis, Eleftherios Kontopodis, Nikolaos Papanikolaou

Proceedings of the Short Paper Proceedings of the 33rd Computer Graphics International, Heraklion, Greece, June 28, 2016

Diffusion Modelling Tool (DMT) for the analysis of Diffusion Weighted Imaging (DWI) Magnetic Resonance Imaging (MRI) data.

Georgios C. Manikis, Katerina Nikiforaki, Nikolaos Papanikolaou, Kostas Marias

Proceedings of the Short Paper Proceedings of the 33rd Computer Graphics International, Heraklion, Greece, June 28, 2016

2014

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

Proceedings of the 6th International Advanced Research Workshop on In Silico Oncology and Cancer Investigation, 2014

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

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

Proceedings of the 2012 5th International Advanced Research Workshop on In Silico Oncology and Cancer Investigation, 2012

A software prototype for the assessment of tumor treatment response using diffusion and perfusion MR imaging.

Vangelis Sakkalis, Georgios C. Manikis, Nikolaos Papanikolaou, Ioannis Karatzanis, Kostas Marias

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

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

Proceedings of the 12th IEEE International Conference on Bioinformatics & Bioengineering, 2012

2009

Pattern Recognition Methods for Acute Myeloid Leukemia (AML) Induction-Treatment Analysis.

Georgios C. Manikis, Michail G. Kounelakis, Michalis E. Zervakis

Proceedings of the Computational Intelligence and Bioengineering, 2009

2006

Classifier Fusion Approaches for Diagnostic Cancer Models.

Ioannis N. Dimou, Georgios C. Manikis, Michalis E. Zervakis

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006