| 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 | 175 | 2021 |
| Interpretable artificial intelligence framework for COVID‑19 screening on chest X‑rays N Tsiknakis, E Trivizakis, EE Vassalou, GZ Papadakis, DA Spandidos, ... Experimental and Therapeutic Medicine 20 (2), 727-735, 2020 | 119 | 2020 |
| Advancing COVID‑19 differentiation with a robust preprocessing and integration of multi‑institutional open‑repository computer tomography datasets for deep learning analysis E Trivizakis, N Tsiknakis, EE Vassalou, GZ Papadakis, DA Spandidos, ... Experimental and therapeutic medicine 20 (5), 1-1, 2020 | 18 | 2020 |
| Region-adaptive magnetic resonance image enhancement for improving CNN-based segmentation of the prostate and prostatic zones DI Zaridis, E Mylona, N Tachos, VC Pezoulas, G Grigoriadis, N Tsiknakis, ... Scientific Reports 13 (1), 714, 2023 | 9 | 2023 |
| 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 | 7 | 2022 |
| Pollen grain classification based on ensemble transfer learning on the Cretan Pollen Dataset N Tsiknakis, E Savvidaki, GC Manikis, P Gotsiou, I Remoundou, K Marias, ... Plants 11 (7), 919, 2022 | 7 | 2022 |
| Segmenting 20 Types of Pollen Grains for the Cretan Pollen Dataset v1 (CPD-1) N Tsiknakis, E Savvidaki, S Kafetzopoulos, G Manikis, N Vidakis, K Marias, ... Applied Sciences 11 (14), 6657, 2021 | 5 | 2021 |
| Ivus longitudinal and axial registration for atherosclerosis progression evaluation N Tsiknakis, C Spanakis, P Tsompou, G Karanasiou, G Karanasiou, ... Diagnostics 11 (8), 1513, 2021 | 4 | 2021 |
| OCT sequence registration before and after percutaneous coronary intervention (stent implantation) N Tsiknakis, C Spanakis, P Tsoumpou, G Karanasiou, G Karanasiou, ... Biomedical Signal Processing and Control 79, 104251, 2023 | 1 | 2023 |
| Adherence to and optimization of guidelines for Risk of Recurrence/Prosigna testing using a machine learning model: a Swedish multicenter study U Kjällquist, N Tsiknakis, B Acs, S Margolin, LE Kessler, S Levy, ... | | 2024 |
| Multiomic profiling reveals predictive molecular characteristics of response to neoadjuvant antibody-drug conjugate versus chemotherapy and dual HER2 blockade in HER2 positive … T Foukakis, K Wang, I Zerdes, Y Zhu, E Sifakis, N Tsiknakis, G Manikis, ... European Journal of Cancer 200, 2024 | | 2024 |
| Automated analysis of fundus images for the diagnosis of retinal diseases: a review A Berto, F Scarpa, N Tsiknakis, G Manikis, DI Fotiadis, K Marias, A Scarpa Research on Biomedical Engineering, 1-27, 2023 | | 2023 |
| Using Commercial and Open-Source Tools for Artificial Intelligence: A Case Demonstration on a Complete Radiomics Pipeline E Stamoulou, C Spanakis, K Nikiforaki, AH Karantanas, N Tsiknakis, ... Introduction to Artificial Intelligence, 13-37, 2023 | | 2023 |
| Multiresolution Self-Supervised Feature Integration via Attention Multiple Instance Learning for Histopathology Analysis N Tsiknakis, E Tzoras, I Zerdes, GC Manikis, B Acs, J Hartman, ... 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | | 2023 |
| Renyi divergence and non-deterministic subsampling in Rigid Image Registration C Spanakis, E Mathioudakis, N Kampanis, N Tsiknakis, K Marias 2019 IEEE International Conference on Imaging Systems and Techniques (IST), 1-6, 2019 | | 2019 |
Kostas MariasDept. of Electrical & Computer Engineering, Hellenic Mediterranean University, GreeceVerified email at hmu.gr
