| Deep learning for diabetic retinopathy detection and classification based on fundus images: A review N Tsiknakis, D Theodoropoulos, G Manikis, E Ktistakis, O Boutsora, ... Computers in biology and medicine 135, 104599, 2021 | 228 | 2021 |
| Extending 2-D convolutional neural networks to 3-D for advancing deep learning cancer classification with application to MRI liver tumor differentiation E Trivizakis, GC Manikis, K Nikiforaki, K Drevelegas, M Constantinides, ... IEEE journal of biomedical and health informatics 23 (3), 923-930, 2018 | 154 | 2018 |
| An image analysis framework for the early assessment of hypertensive retinopathy signs GC Manikis, V Sakkalis, X Zabulis, P Karamaounas, A Triantafyllou, ... 2011 E-Health and Bioengineering Conference (EHB), 1-6, 2011 | 65 | 2011 |
| High-grade glioma diffusive modeling using statistical tissue information and diffusion tensors extracted from atlases A Roniotis, GC Manikis, V Sakkalis, ME Zervakis, I Karatzanis, K Marias IEEE Transactions on Information Technology in Biomedicine 16 (2), 255-263, 2011 | 42 | 2011 |
| A machine learning-based pipeline for modeling medical, socio-demographic, lifestyle and self-reported psychological traits as predictors of mental health outcomes after breast … K Kourou, G Manikis, P Poikonen-Saksela, K Mazzocco, R Pat-Horenczyk, ... Computers in Biology and Medicine 131, 104266, 2021 | 41 | 2021 |
| Diffusion-weighted MR imaging of pancreatic cancer: a comparison of mono-exponential, bi-exponential and non-Gaussian kurtosis models N Kartalis, GC Manikis, L Loizou, N Albiin, FG Zöllner, M Del Chiaro, ... European journal of radiology open 3, 79-85, 2016 | 41 | 2016 |
| Multicenter dsc–mri-based radiomics predict idh mutation in gliomas GC Manikis, GS Ioannidis, L Siakallis, K Nikiforaki, M Iv, D Vozlic, ... Cancers 13 (16), 3965, 2021 | 37 | 2021 |
| 18F‐NaF PET/CT IMAGING IN FIBROUS DYSPLASIA OF BONE GZ Papadakis, GC Manikis, AH Karantanas, P Florenzano, U Bagci, ... Journal of Bone and Mineral Research 34 (9), 1619-1631, 2019 | 37 | 2019 |
| Harmonization strategies in multicenter MRI-based radiomics E Stamoulou, C Spanakis, GC Manikis, G Karanasiou, G Grigoriadis, ... Journal of Imaging 8 (11), 303, 2022 | 35 | 2022 |
| Radiomics and machine learning can differentiate transient osteoporosis from avascular necrosis of the hip ME Klontzas, GC Manikis, K Nikiforaki, EE Vassalou, K Spanakis, I Stathis, ... Diagnostics 11 (9), 1686, 2021 | 31 | 2021 |
| Simulating Radiotherapy Effect in High‐Grade Glioma by Using Diffusive Modeling and Brain Atlases A Roniotis, K Marias, V Sakkalis, GC Manikis, M Zervakis BioMed Research International 2012 (1), 715812, 2012 | 30 | 2012 |
| Quantitative identification of functional connectivity disturbances in neuropsychiatric lupus based on resting-state fMRI: a robust machine learning approach NJ Simos, SI Dimitriadis, E Kavroulakis, GC Manikis, G Bertsias, P Simos, ... Brain Sciences 10 (11), 777, 2020 | 23 | 2020 |
| Classifier fusion approaches for diagnostic cancer models IN Dimou, GC Manikis, ME Zervakis 2006 International Conference of the IEEE Engineering in Medicine and …, 2006 | 20 | 2006 |
| A segmentation-based method improving the performance of N4 bias field correction on T2weighted MR imaging data of the prostate A Dovrou, K Nikiforaki, D Zaridis, GC Manikis, E Mylona, N Tachos, ... Magnetic Resonance Imaging 101, 1-12, 2023 | 15 | 2023 |
| Investigating the role of model-based and model-free imaging biomarkers as early predictors of neoadjuvant breast cancer therapy outcome E Kontopodis, M Venianaki, GC Manikis, K Nikiforaki, O Salvetti, ... IEEE journal of biomedical and health informatics 23 (5), 1834-1843, 2019 | 15 | 2019 |
| Magnetization transfer imaging to assess tumour response after chemoradiotherapy in rectal cancer MH Martens, DMJ Lambregts, N Papanikolaou, S Alefantinou, M Maas, ... European Radiology 26, 390-397, 2016 | 15 | 2016 |
| Dissecting tumor-immune microenvironment in breast cancer at a spatial and multiplex resolution E Tzoras, I Zerdes, N Tsiknakis, GC Manikis, A Mezheyeuski, J Bergh, ... Cancers 14 (8), 1999, 2022 | 13 | 2022 |
| Pollen grain classification using geometrical and textural features GC Manikis, K Marias, E Alissandrakis, L Perrotto, E Savvidaki, N Vidakis 2019 IEEE International Conference on Imaging Systems and Techniques (IST), 1-6, 2019 | 13 | 2019 |
| Diffusion modelling tool (DMT) for the analysis of diffusion weighted imaging (DWI) magnetic resonance imaging (MRI) data GC Manikis, K Nikiforaki, N Papanikolaou, K Marias Proceedings of the 33rd Computer Graphics International, 97-100, 2016 | 13 | 2016 |
| Assessing treatment response through generalized pharmacokinetic modeling of DCE-MRI data E Kontopodis, G Kanli, GC Manikis, S Van Cauter, K Marias Cancer Informatics 14, CIN. S19342, 2015 | 12 | 2015 |
Kostas MariasProfessor, Dept. of Electrical & Computer Engineering, Hellenic Mediterranean University, Greecehmu.gr의 이메일 확인됨
