Eustratios Karavasilis
Orcid: 0000-0002-7291-2231
According to our database1,
Eustratios Karavasilis
authored at least 12 papers
between 2013 and 2025.
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Bibliography
2025
Dose Reduction in Scintigraphic Imaging Through Enhanced Convolutional Autoencoder-Based Denoising.
J. Imaging, 2025
The Role of Radiomic Analysis and Different Machine Learning Models in Prostate Cancer Diagnosis.
J. Imaging, 2025
2024
Exploring Multi-Pathology Brain Segmentation: From Volume-Based to Component-Based Deep Learning Analysis.
J. Imaging, 2024
Evaluating Brain Tumor Detection with Deep Learning Convolutional Neural Networks Across Multiple MRI Modalities.
J. Imaging, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Late Life Depression Automated Detection by Means of Advanced Diffusion Tensor Imaging Segmentation and Artificial Intelligence.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2017
Altered Brain Functional Connectivity in Small-Cell Lung Cancer Patients after Chemotherapy Treatment: A Resting-State fMRI Study.
Comput. Math. Methods Medicine, 2017
2016
Evaluating cognitive models of visual word recognition using fMRI: Effects of lexical and sublexical variables.
NeuroImage, 2016
FMRI-based perceptual validation of a computational model for visual and auditory saliency in videos.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
2014
Analysis of resting state and task-related fMRI data in small cell lung cancer patients before undertaking PCI.
Proceedings of the 4th International Conference on Wireless Mobile Communication and Healthcare: "Transforming healthcare through innovations in mobile and wireless technologies", 2014
Tract-Based Spatial Statistics analysis of diffusion-tensor imaging data in patients with Small Cell Lung Cancer.
Proceedings of the 4th International Conference on Wireless Mobile Communication and Healthcare: "Transforming healthcare through innovations in mobile and wireless technologies", 2014
2013
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013