| Explainable machine learning framework for image classification problems: case study on glioma cancer prediction E Pintelas, M Liaskos, IE Livieris, S Kotsiantis, P Pintelas Journal of imaging 6 (6), 37, 2020 | 53 | 2020 |
| A novel explainable image classification framework: Case study on skin cancer and plant disease prediction E Pintelas, M Liaskos, IE Livieris, S Kotsiantis, P Pintelas Neural Computing and Applications 33 (22), 15171-15189, 2021 | 29 | 2021 |
| Bimodal CT/MRI-based segmentation method for intervertebral disc boundary extraction M Liaskos, MA Savelonas, PA Asvestas, MG Lykissas, GK Matsopoulos Information 11 (9), 448, 2020 | 6 | 2020 |
| Implementation of a Software Phantom for the Assessment of Contrast Detail in Digital Radiography M Liaskos, C Michail, K Nektarios, T Adrianos, T Stavros, F George, ... | 3* | |
| Vertebrae, IVD and spinal canal boundary extraction on MRI, utilizing CT-trained active shape models M Liaskos, MA Savelonas, PA Asvestas, D Papageorgiou, ... International Journal of Computer Assisted Radiology and Surgery 16, 2201-2214, 2021 | 2 | 2021 |
| Detection of Retinal Pigment Epithelium Detachment From OCT Images Using Multiscale Gaussian Filtering M Liaskos, PA Asvestas, GK Matsopoulos, A Charonis, ... Technol Health Care 27 (3), 301-316, 2019 | 1 | 2019 |
| Bimodal Active Shape Models for Cervical Vertebrae and Spinal Canal Boundary Extraction M Liaskos, MA Savelonas, PA Asvestas, GK Matsopoulos Engineering Proceedings 50 (1), 1, 2023 | | 2023 |
| Implementation of a software phantom for the assessment of contrast detail in digital radiography Μ Λιάσκος, ΧΜ Μιχαήλ, ΝΙ Καλύβας, ΑΕ Τουτουντζής, Σ Τσαντής [χ. ό.], 2015 | | 2015 |
| Empirical pharmacokinetic models in breast MRI Μ Λιάσκος University of Patras, 2012 | | 2012 |
| Scintillation screen preparation for use in digital medical systems I Valais, M Liaskos, I Seferis, G Fountos, N Kalyvas, I Kandarakis, ... | | |
