Roadmap on computational methods in optical imaging and holography

J Rosen, S Alford, B Allan, V Anand, S Arnon… - Applied Physics B, 2024 - Springer
Computational methods have been established as cornerstones in optical imaging and
holography in recent years. Every year, the dependence of optical imaging and holography …

Machine learning-based models for prediction of the risk of stroke in coronary artery disease patients receiving coronary revascularization

L Lin, L Ding, Z Fu, L Zhang - Plos one, 2024 - journals.plos.org
Background To construct several prediction models for the risk of stroke in coronary artery
disease (CAD) patients receiving coronary revascularization based on machine learning …

Improving diffuse optical tomography imaging quality using APU-Net: an attention-based physical U-Net model

M Xue, S Li, Q Zhu - Journal of Biomedical Optics, 2024 - spiedigitallibrary.org
Significance Traditional diffuse optical tomography (DOT) reconstructions are hampered by
image artifacts arising from factors such as DOT sources being closer to shallow lesions …

Forecasting airline passengers' satisfaction based on sentiments and ratings: An application of VADER and machine learning techniques

R Murugesan, AP Rekha, N Nitish… - Journal of Air Transport …, 2024 - Elsevier
To the best of the authors' knowledge, research predicting airline passengers' satisfaction
based on their sentiments and ratings is seldom sighted. Additionally, the literature reveals …

[HTML][HTML] Artificial Intelligence in Advanced Medical Imaging

H Jia, Q Jiao, M Liu - Bioengineering, 2024 - mdpi.com
Medical imaging is of great significance in modern medicine and is a crucial part of medical
diagnosis. Doctors can use imaging techniques such as X-ray [1], CT [2], MRI [3], and …