| |
Title |
Creator |
Date |
|
| 1.
|
Development of a computational male pelvis phantom for the generation of multiseries MRI synthetic data in support of image analytic processes
|
Γιουρούκου, Κωνσταντίνα
|
2024-04-17 |
|
| 2.
|
Multi-modal data integration using machine and deep learning techniques for predicting high-level clinical outcomes of non-small cell lung cancer patients
|
Τριβιζάκης, Ελευθέριος
|
2024-04-17 |
|
| 3.
|
Artificial intelligence in bone marrow imaging : Development of novel machine learning strategies for the diagnosis and classification of benign bone marrow pathology with the use of magnetic resonance imaging (MRI)
|
Κλώντζας, Μιχαήλ
|
2023-07-28 |
|
| 4.
|
Developing a comprehensive radiomic analysis workflow for the detection of prostate cancer aggressiveness on T2weighted MR prostate data
|
Ζαφείρης, Στυλιανός
|
2023-07-28 |
|
| 5.
|
Deep radiotranscriptomic survival analysis for non-small cell lung cancer patients by utilizing machine learning methods
|
Κουτρούμπα, Νικολέττα Μαρία
|
2022-07-29 |
|
| 6.
|
Advanced magnetic resonance imaging techniques in soft tissue sarcoma studies – modelling of quantitative MRI parameters
|
Μανίκης, Γεώργιος
|
2021-07-29 |
|
| 7.
|
Artificial intelligence in medicine : A clinical decision -support framework based on machine learning , statistical mixed-effect modeling and defeasible reasoning for rheumatoid arthritis long-term prognosis under biologic therapy
|
Γενιτσαρίδη, Ειρήνη
|
2020-12-17 |
|
| 8.
|
Advanced computational algorithms for the estimation of quantitative MRI parameters via 2D/3D parametric mapping: applications in brain oncology, Multiple Sclerosis, Hemosiderosis and Osteoporosis
|
Καλαϊτζάκης, Γεώργιος
|
2020-08-05 |
|
| 9.
|
Multiparametric semi-quantitative and quantitative study of soft tissue tumors with advanced Magnetic Resonance methods
|
Νικηφοράκη, Κατερίνα
|
2020-08-05 |
|
| 10.
|
Quantitative evaluation of perfusion studies with non-ionizing (MRΙ) and low dose radiation (CT) protocols
|
Ιωαννίδης, Γεώργιος Σ.
|
2020-08-05 |
|
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