Akshayaa Vaidyanathan
Liege, WAL 4000, Belgium
Last Updated: 09/26/2026
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Found 11 publications
Machine Learning to Identify Patients at Risk of Developing New-Onset Atrial Fibrillation after Coronary Artery Bypass.
Journal: Journal of cardiovascular development and disease
Published: December 04, 2022
Deep learning based identification of bone scintigraphies containing metastatic bone disease foci.
Journal: Cancer imaging : the official publication of the International Cancer Imaging Society
Published: April 12, 2022
An externally validated fully automated deep learning algorithm to classify COVID-19 and other pneumonias on chest computed tomography.
Journal: ERJ open research
Published: October 08, 2021
Privacy preserving distributed learning classifiers - Sequential learning with small sets of data.
Journal: Computers in biology and medicine
Published: May 18, 2021
Radiomics in Lung Diseases Imaging: State-of-the-Art for Clinicians.
Journal: Journal of personalized medicine
Published: May 04, 2021
A non-invasive, automated diagnosis of Menière's disease using radiomics and machine learning on conventional magnetic resonance imaging: A multicentric, case-controlled feasibility study.
Journal: La Radiologia medica
Published: March 02, 2021
A review in radiomics: Making personalized medicine a reality via routine imaging.
Journal: Medicinal research reviews
Published: January 18, 2021
Development and Validation of an Automated Radiomic CT Signature for Detecting COVID-19.
Journal: Diagnostics (Basel, Switzerland)
Published: October 12, 2020
Deep learning for the fully automated segmentation of the inner ear on MRI.
Journal: Scientific reports
Published: May 20, 2020
The "hype" of hydrops in classifying vestibular disorders: a narrative review.
Journal: Journal of neurology
Published: March 18, 2020
Showing 1-11 of 11
Last Updated: 09/26/2026