Search Results - "Ioannidis, Georgios S."
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A neural pathomics framework for classifying colorectal cancer histopathology images based on wavelet multi-scale texture analysis
Published in Scientific reports (30-07-2021)“…Colorectal cancer (CRC) constitutes the third most commonly diagnosed cancer in males and the second in females. Precise histopathological classification of…”
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Journal Article -
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Investigating the value of radiomics stemming from DSC quantitative biomarkers in IDH mutation prediction in gliomas
Published in Frontiers in neurology (16-11-2023)“…Objective This study aims to assess the value of biomarker based radiomics to predict IDH mutation in gliomas. The patient cohort consists of 160 patients…”
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Quantification and Classification of Contrast Enhanced Ultrasound Breast Cancer Data: A Preliminary Study
Published in Diagnostics (Basel) (06-02-2022)“…This study aimed to investigate which of the two frequently adopted perfusion models better describes the contrast enhanced ultrasound (CEUS) perfusion signal…”
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4
Pathomics and Deep Learning Classification of a Heterogeneous Fluorescence Histology Image Dataset
Published in Applied sciences (01-05-2021)“…Automated pathology image classification through modern machine learning (ML) techniques in quantitative microscopy is an emerging AI application area aiming…”
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Diffusion Weighted Imaging in the Assessment of Tumor Grade in Endometrial Cancer Based on Intravoxel Incoherent Motion MRI
Published in Diagnostics (Basel) (12-03-2022)“…The aim of this study is to investigate the possibility of predicting histological grade in patients with endometrial cancer on the basis of intravoxel…”
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Cerebral CT Perfusion in Acute Stroke: The Effect of Lowering the Tube Load and Sampling Rate on the Reproducibility of Parametric Maps
Published in Diagnostics (Basel) (19-06-2021)“…The aim of this study was to define lower dose parameters (tube load and temporal sampling) for CT perfusion that still preserve the diagnostic efficiency of…”
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Inverse Laplace transform and multiexponential fitting analysis of T2 relaxometry data: a phantom study with aqueous and fat containing samples
Published in European radiology experimental (07-05-2020)“…Background The inverse Laplace transform (ILT) is the most widely used method for T2 relaxometry data analysis. This study examines the qualitative agreement…”
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Multiexponential T2 relaxometry of benign and malignant adipocytic tumours
Published in European radiology experimental (03-08-2020)“…Background We investigated a recently proposed multiexponential (Mexp) fitting method applied to T2 relaxometry magnetic resonance imaging (MRI) data of benign…”
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Statistical and spatial correlation between diffusion and perfusion MR imaging parameters: A study on soft tissue sarcomas
Published in Physica medica (01-09-2019)“…[Display omitted] •Soft tissue sarcomas are heterogeneous aggressive neoplasms with large size.•DCE and DWI voxel based analyses highlight areas of local…”
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Investigating the Correlation of Ktrans With Semi-Quantitative MRI Parameters Towards More Robust and Reproducible Perfusion Imaging Biomarkers in Three Cancer Types
Published in IEEE journal of biomedical and health informatics (01-09-2019)“…MRI Imaging biomarkers (IBs) have the potential to deliver quantitative cancer descriptors of pathophysiology for non-invasively screening, diagnosing, and…”
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Multicenter DSC–MRI-Based Radiomics Predict IDH Mutation in Gliomas
Published in Cancers (05-08-2021)“…To address the current lack of dynamic susceptibility contrast magnetic resonance imaging (DSC–MRI)-based radiomics to predict isocitrate dehydrogenase (IDH)…”
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Membrane androgen receptors (OXER1, GPRC6A AND ZIP9) in prostate and breast cancer: A comparative study of their expression
Published in Steroids (01-02-2019)“…Accumulating evidence during the last decades revealed that androgens exert membrane-initiated actions leading to the modulation of significant cellular…”
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A novel deep learning architecture outperforming 'off‑the‑shelf' transfer learning and feature‑based methods in the automated assessment of mammographic breast density
Published in Oncology reports (01-11-2019)“…Potentially suspicious breast neoplasms could be masked by high tissue density, thus increasing the probability of a false‑negative diagnosis. Furthermore,…”
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A correlative study between diffusion and perfusion MR imaging parameters on peripheral arterial disease data
Published in Magnetic resonance imaging (01-01-2019)“…The purpose of this study was to correlate diffusion and perfusion quantitative and semi-quantitative MR parameters, on patients with peripheral arterial…”
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Correlation of DWI and DCE MRI Markers for the Study of Perfusion of the Lower Limb in Patients with Peripheral Arterial Disease
Published in 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE) (01-10-2019)“…The aim of the present work is to correlate perfusion information obtained from semi-quantitative DCE data analysis with quantitative diffusion data analysis…”
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Conference Proceeding -
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T2 relaxometry tool for calibration and quantification of iron concentration based on multi echo MRI data
Published in 2022 IEEE International Conference on Imaging Systems and Techniques (IST) (21-06-2022)“…This paper presents a graphical user interface (GUI) for the ability to perform quantitative evaluation of iron concentration using multi echo magnetic…”
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Conference Proceeding