| Quantitative MRI brain studies in mild cognitive impairment and Alzheimer's disease: a methodological review S Leandrou, S Petroudi, PA Kyriacou, CC Reyes-Aldasoro, CS Pattichis IEEE reviews in biomedical engineering 11, 97-111, 2018 | 117 | 2018 |
| Radiogenomics for precision medicine with a big data analytics perspective AS Panayides, MS Pattichis, S Leandrou, C Pitris, A Constantinidou, ... IEEE journal of biomedical and health informatics 23 (5), 2063-2079, 2018 | 47 | 2018 |
| Assessment of Alzheimer’s disease based on texture analysis of the entorhinal cortex S Leandrou, D Lamnisos, I Mamais, PA Kyriacou, CS Pattichis, ... Frontiers in Aging Neuroscience 12, 176, 2020 | 23 | 2020 |
| Extracting explainable assessments of Alzheimer’s disease via machine learning on brain MRI imaging data KG Achilleos, S Leandrou, N Prentzas, PA Kyriacou, AC Kakas, ... 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering …, 2020 | 20 | 2020 |
| Comparison of 1.5 T and 3 T MRI hippocampus texture features in the assessment of Alzheimer's disease S Leandrou, D Lamnisos, PA Kyriacou, S Constanti, CS Pattichis, ... Biomedical Signal Processing and Control 62, 102098, 2020 | 11 | 2020 |
| Hippocampal and entorhinal cortex volume changes in Alzheimer's disease patients and mild cognitive impairment subjects S Leandrou, I Mamais, S Petroudi, PA Kyriacou, CC Reyes-Aldasoro, ... 2018 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2018 | 10 | 2018 |
| An overview of quantitative magnetic resonance imaging analysis studies in the assessment of Alzheimer’s disease S Leandrou, S Petroudi, PA Kyriacou, CC Reyes-Aldasoro, CS Pattichis XIV Mediterranean Conference on Medical and Biological Engineering and …, 2016 | 4 | 2016 |
| Analysis of radiomic features derived from post-contrast T1-weighted images and apparent diffusion coefficient (ADC) maps for breast lesion evaluation: A retrospective study N Stogiannos, H Bougias, E Georgiadou, S Leandrou, P Papavasileiou Radiography 29 (2), 355-361, 2023 | 2 | 2023 |
| A cross-sectional study of explainable machine learning in Alzheimer’s disease: diagnostic classification using MR radiomic features S Leandrou, D Lamnisos, H Bougias, N Stogiannos, E Georgiadou, ... Frontiers in Aging Neuroscience 15, 1149871, 2023 | 1 | 2023 |
| A Multi-User Virtual Reality Application For Visualization And Analysis In Medical Imaging E Prodromou, S Leandrou, E Schiza, K Neocleous, M Matsangidou, ... 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering …, 2020 | 1 | 2020 |
| Exploring radiographers’ perceptions and knowledge about patient lead shielding: a cross-sectional study in Greece and Cyprus N Stogiannos, A Psimitis, H Bougias, E Georgiadou, S Leandrou, ... Radiation Protection Dosimetry 199 (13), 1401-1409, 2023 | | 2023 |
| Radiomics for Alzheimer’s Disease: Fundamental Principles and Clinical Applications E Georgiadou, H Bougias, S Leandrou, N Stogiannos Worldwide Congress on “Genetics, Geriatrics and Neurodegenerative Diseases …, 2022 | | 2022 |
| Quantitative texture analysis in MR imaging in the assessment of Alzheimer’s disease S Leandrou City, University of London, 2021 | | 2021 |
| Rule extraction in the assessment of alzheimer’s disease based on brain mri imaging KG Achilleos, CS Pattichis, S Leandrou, N Prentza, PA Kyriacou, ... 8 th European Medical and Biological Engineering Conference (EMBEC 2020), 310, 2020 | | 2020 |
| Quantitative imaging methods like MRI, PET scans, and CSF analysis are crucial in Alzheimer's assessment. Cognitive tests have limitations in detecting early changes, but … S Leandrou Frontiers in Aging Neuroscience 15, 1340877, 0 | | |
Constantinos S. PattichisProf. of Computer Science, University of Cyprus & HealthXR Group, CYENS Centre of Excellence, CYPRUS在 ucy.ac.cy 的电子邮件经过验证
