Georgios C. Manikis
Orcid: 0000-0002-3396-0644
According to our database1,
Georgios C. Manikis
authored at least 30 papers
between 2006 and 2023.
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Bibliography
2023
Multiresolution Self-Supervised Feature Integration via Attention Multiple Instance Learning for Histopathology Analysis.
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.
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<sup>*</sup>.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023
2022
Trajectories and Predictors of Depression After Breast Cancer Diagnosis: A 1-year longitudinal study.
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.
Proceedings of the Engineering Applications of Neural Networks, 2022
Explainable machine learning analysis of longitudinal mental health trajectories after breast cancer diagnosis.
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.
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.
Comput. Biol. Medicine, 2021
Prediction of Poor Mental Health Following Breast Cancer Diagnosis Using Random Forests<sup>1</sup>.
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.
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.
IEEE J. Biomed. Health Informatics, 2019
Machine Learning Classification of Neuropsychiatric Systemic Lupus Erythematosus patients using resting-state fMRI functional connectivity.
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019
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.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019
Computational Modeling of Psychological Resilience Trajectories During Breast Cancer Treatment.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019
2018
DCE-MRI radiomics features for predicting breast cancer neoadjuvant therapy response.
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.
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.
Proceedings of the Wireless Mobile Communication and Healthcare, 2017
2016
Visualizing tumor environment with perfusion and diffusion MRI: Computational challenges.
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.
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.
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.
IEEE Trans. Inf. Technol. Biomed., 2012
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.
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.
Proceedings of the 12th IEEE International Conference on Bioinformatics & Bioengineering, 2012
2009
Pattern Recognition Methods for Acute Myeloid Leukemia (AML) Induction-Treatment Analysis.
Proceedings of the Computational Intelligence and Bioengineering, 2009
2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006