2.4k citations · 2.7k across the 7 of their papers we have counts for
7 papers
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Karim Lekadir, Aasa Feragen, Abdul Joseph Fofanah +117
Despite major advances in artificial intelligence (AI) for medicine and healthcare, the deployment and adoption of AI technologies remain limited in real-world clinical practice. I…
Smart Insole: A Gait Analysis Monitoring Platform Targeting Parkinson Disease Patients Based on Insoles
Dimitrios Boucharas, Christos Androutsos, George Gkois +11
During the preceding decades, human gait analysis has been the center of attention for the scientific community, while the association between gait analysis and overall health moni…
A new smart-cropping pipeline for prostate segmentation using deep learning networks
Dimitrios G. Zaridis, Eugenia Mylona, Nikolaos S. Tachos +4
Prostate segmentation from magnetic resonance imaging (MRI) is a challenging task. In recent years, several network architectures have been proposed to automate this process and al…
3D Reconstruction of Coronary Arteries and Atherosclerotic Plaques based on Computed Tomography Angiography Images
Vassiliki I. Kigka, George Rigas, Antonis Sakellarios +10
The purpose of this study is to present a new semi-automated methodology for three-dimensional (3D) reconstruction of coronary arteries and their plaque morphology using Computed T…
3-D Registration on Carotid Artery imaging data: MRI for different timesteps
Paschalis A. Bizopoulos, Antonis Sakellarios, Lampros K. Michalis +2
A common problem which is faced by the researchers when dealing with arterial carotid imaging data is the registration of the geometrical structures between different imaging modal…
Artificial Neural Networks for Solving Ordinary and Partial Differential Equations
I. E. Lagaris, A. Likas, D. I. Fotiadis
We present a method to solve initial and boundary value problems using artificial neural networks. A trial solution of the differential equation is written as a sum of two parts. T…
Artificial Neural Network Methods in Quantum Mechanics
I. E. Lagaris, A. Likas, D. I. Fotiadis
In a previous article we have shown how one can employ Artificial Neural Networks (ANNs) in order to solve non-homogeneous ordinary and partial differential equations. In the prese…