106 citations · 148 across the 5 of their papers we have counts for
5 papers
Applications of Generative Adversarial Networks in Neuroimaging and Clinical Neuroscience
Rongguang Wang, Vishnu Bashyam, Zhijian Yang +10
Generative adversarial networks (GANs) are one powerful type of deep learning models that have been successfully utilized in numerous fields. They belong to a broader family called…
Machine Learning Method for Functional Assessment of Retinal Models
Nikolas Papadopoulos, Nikos Melanitis, Antonio Lozano +3
Challenges in the field of retinal prostheses motivate the development of retinal models to accurately simulate Retinal Ganglion Cells (RGCs) responses. The goal of retinal prosthe…
Stratification of carotid atheromatous plaque using interpretable deep learning methods on B-mode ultrasound images
Theofanis Ganitidis, Maria Athanasiou, Kalliopi Dalakleidi +3
Carotid atherosclerosis is the major cause of ischemic stroke resulting in significant rates of mortality and disability annually. Early diagnosis of such cases is of great importa…
Interpretability methods of machine learning algorithms with applications in breast cancer diagnosis
Panagiota Karatza, Kalliopi V. Dalakleidi, Maria Athanasiou +1
Early detection of breast cancer is a powerful tool towards decreasing its socioeconomic burden. Although, artificial intelligence (AI) methods have shown remarkable results toward…
An explainable XGBoost-based approach towards assessing the risk of cardiovascular disease in patients with Type 2 Diabetes Mellitus
Maria Athanasiou, Konstantina Sfrintzeri, Konstantia Zarkogianni +2
Cardiovascular Disease (CVD) is an important cause of disability and death among individuals with Diabetes Mellitus (DM). International clinical guidelines for the management of Ty…