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Stephanos Leandrou
Observed names:
S Leandrou,
S. Leandrou
Institution:
European University Cyprus
Observed institutions:
University of London,
City, University of London,
European University Cyprus,
City St George's, University of London
ORCID:
0000-0001-7895-0311
Observed ORCID:
0000-0001-7895-0311
OpenAlex ID:
A5022124178
A cross-sectional study of explainable machine learning in Alzheimer’s disease: diagnostic classification using MR radiomic features
2023
·
Stephanos Leandrou
, Demetris Lamnisos
, et al.
·
Frontiers in Aging Neuroscience
·
44
PDF
Assessment of Alzheimer’s Disease Based on Texture Analysis of the Entorhinal Cortex
2020
·
Stephanos Leandrou
, Demetris Lamnisos
, et al.
·
Frontiers in Aging Neuroscience
·
43
PDF
Extracting Explainable Assessments of Alzheimer’s disease via Machine Learning on brain MRI imaging data
2020
·
K.G. Achilleos
, S. Leandrou
, et al.
·
IEEE International Conference on Bioinformatics and Bioengineering (BIBE)
·
25
Hippocampal and entorhinal cortex volume changes in Alzheimer's disease patients and mild cognitive impairment subjects
2018
·
S. Leandrou
, I. Mamais
, et al.
·
IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...)
·
17
Comparison of 1.5 T and 3 T MRI hippocampus texture features in the assessment of Alzheimer's disease
2020
·
Stephanos Leandrou
, Demetris Lamnisos
, et al.
·
Biomedical Signal Processing and Control
·
15
PDF
Analysis of radiomic features derived from post-contrast T1-weighted images and apparent diffusion coefficient (ADC) maps for breast lesion evaluation: A retrospective study
2023
·
N. Stogiannos
, H. Bougias
, et al.
·
Radiography
·
7
PDF
Corrigendum: Assessment of Alzheimer's Disease Based on Texture Analysis of the Entorhinal Cortex
2020
·
Stephanos Leandrou
, Demetris Lamnisos
, et al.
·
Frontiers in Aging Neuroscience
·
4
PDF
A Multi-User Virtual Reality Application For Visualization And Analysis In Medical Imaging
2020
·
E. Prodromou
, S. Leandrou
, et al.
·
IEEE International Conference on Bioinformatics and Bioengineering (BIBE)
·
4
Radiomics for Alzheimer’s Disease: Fundamental Principles and Clinical Applications
2023
·
Eleni Georgiadou
, Haralabos Bougias
, et al.
·
Advances in experimental medicine and biology
·
3
An Overview of Quantitative Magnetic Resonance Imaging Analysis Studies in the Assessment of Alzheimer’s Disease
2016
·
Stephanos Leandrou
, Styliani Petroudi
, et al.
·
World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany
·
3
PDF
Exploring radiographers’ perceptions and knowledge about patient lead shielding: a cross-sectional study in Greece and Cyprus
2023
·
Nikolaos Stogiannos
, Aristotelis Psimitis
, et al.
·
Radiation Protection Dosimetry
·
2
PDF
AI in Magnetic Resonance Imaging
2026
·
Nikolaos Stogiannos
, Stephanos Leandrou
, et al.
·
Springer eBooks
Editorial: Quantitative imaging methods and analysis in Alzheimer's disease assessment
2024
·
Stephanos Leandrou
, Deqiang Qiu
, et al.
·
Frontiers in Aging Neuroscience
PDF
Quantitative texture analysis in MR imaging in the assessment of Alzheimer’s disease
2021
·
Stephanos Leandrou
·
City Research Online (City University London)
PDF
医用画像における可視化と解析のためのマルチユーザ仮想現実感アプリケーション【jst・京大機械翻訳】
2020
·
E Prodromou
, S Leandrou
, et al.
·
IEEE Conference Proceedings
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Works count:
17
Citation count:
167
H-index:
6
I10-index:
5
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