Towards clinical application of artificial intelligence in ultrasound imaging

M Komatsu, A Sakai, A Dozen, K Shozu, S Yasutomi… - Biomedicines, 2021 - mdpi.com
Artificial intelligence (AI) is being increasingly adopted in medical research and applications.
Medical AI devices have continuously been approved by the Food and Drug Administration …

Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis

J Liang, X Yang, Y Huang, H Li, S He, X Hu… - Medical image …, 2022 - Elsevier
Ultrasound (US) imaging is widely used for anatomical structure inspection in clinical
diagnosis. The training of new sonographers and deep learning based algorithms for US …

Approaches and Limitations of Machine Learning for Synthetic Ultrasound Generation: A Scoping Review

M Mendez, S Sundararaman, L Probyn… - Journal of Ultrasound …, 2023 - Wiley Online Library
This scoping review examines the emerging field of synthetic ultrasound generation using
machine learning (ML) models in radiology. Nineteen studies were analyzed, revealing …

Lung cancer CT image generation from a free-form sketch using style-based pix2pix for data augmentation

R Toda, A Teramoto, M Kondo, K Imaizumi, K Saito… - Scientific reports, 2022 - nature.com
Artificial intelligence (AI) applications in medical imaging continue facing the difficulty in
collecting and using large datasets. One method proposed for solving this problem is data …

A pseudo-siamese feature fusion generative adversarial network for synthesizing high-quality fetal four-chamber views

S Qiao, S Pan, G Luo, S Pang, T Chen… - IEEE journal of …, 2022 - ieeexplore.ieee.org
Four-chamber (FC) views are the primary ultrasound (US) images that cardiologists
diagnose whether the fetus has congenital heart disease (CHD) in prenatal diagnosis and …

Digital rock reconstruction with user-defined properties using conditional generative adversarial networks

Q Zheng, D Zhang - Transport in Porous Media, 2022 - Springer
Uncertainty is ubiquitous with multiphase flow in subsurface rocks due to their inherent
heterogeneity and lack of in-situ measurements. To complete uncertainty analysis in a multi …

Ultrasound to X-ray synthesis generative attentional network (UXGAN) for adolescent idiopathic scoliosis

W Jiang, C Yu, X Chen, Y Zheng, C Bai - Ultrasonics, 2022 - Elsevier
Standing X-ray radiograph with Cobb's method is the gold standard for scoliosis diagnosis.
However, radiation hazard restricts its application, especially for close follow-up of …

Weakly-supervised high-fidelity ultrasound video synthesis with feature decoupling

J Liang, X Yang, Y Huang, K Liu, X Zhou, X Hu… - … Conference on Medical …, 2022 - Springer
Ultrasound (US) is widely used for its advantages of real-time imaging, radiation-free and
portability. In clinical practice, analysis and diagnosis often rely on US sequences rather …

A progressive growing generative adversarial network composed of enhanced style-consistent modulation for fetal ultrasound four-chamber view editing synthesis

S Qiao, S Pang, G Luo, P Xie, W Yin, S Pan… - … Applications of Artificial …, 2024 - Elsevier
Fetal ultrasound (US) four-chamber (FC) views are essential in diagnosing congenital heart
defects (CHD). Gathering a sufficient number of diverse and high-quality fetal US FC views …

Anatomy preserving GAN for realistic simulation of intraoperative liver ultrasound images

L Chen, H Liao, W Kong, D Zhang, F Chen - Computer Methods and …, 2023 - Elsevier
In ultrasound-guided liver surgery, the lack of large-scale intraoperative ultrasound images
with important anatomical structures remains an obstacle hindering the successful …