Artificial intelligence in ultrasound

YT Shen, L Chen, WW Yue, HX Xu - European Journal of Radiology, 2021 - Elsevier
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Deep learning in medical image registration

X Chen, A Diaz-Pinto, N Ravikumar… - Progress in Biomedical …, 2021 - iopscience.iop.org
Image registration is a fundamental task in multiple medical image analysis applications.
With the advent of deep learning, there have been significant advances in algorithmic …

A review of deep learning-based deformable medical image registration

J Zou, B Gao, Y Song, J Qin - Frontiers in Oncology, 2022 - frontiersin.org
The alignment of images through deformable image registration is vital to clinical
applications (eg, atlas creation, image fusion, and tumor targeting in image-guided …

Artificial intelligence applications in prostate cancer

A Baydoun, AY Jia, NG Zaorsky, R Kashani… - Prostate cancer and …, 2024 - nature.com
Artificial intelligence (AI) applications have enabled remarkable advancements in healthcare
delivery. These AI tools are often aimed to improve accuracy and efficiency of histopathology …

Cross-modal attention for MRI and ultrasound volume registration

X Song, H Guo, X Xu, H Chao, S Xu, B Turkbey… - … Image Computing and …, 2021 - Springer
Prostate cancer biopsy benefits from accurate fusion of transrectal ultrasound (TRUS) and
magnetic resonance (MR) images. In the past few years, convolutional neural networks …

A review of artificial intelligence in prostate cancer detection on imaging

I Bhattacharya, YS Khandwala… - … advances in urology, 2022 - journals.sagepub.com
A multitude of studies have explored the role of artificial intelligence (AI) in providing
diagnostic support to radiologists, pathologists, and urologists in prostate cancer detection …

[HTML][HTML] A review of deep learning-based three-dimensional medical image registration methods

H Xiao, X Teng, C Liu, T Li, G Ren, R Yang… - … Imaging in Medicine …, 2021 - ncbi.nlm.nih.gov
Medical image registration is a vital component of many medical procedures, such as image-
guided radiotherapy (IGRT), as it allows for more accurate dose-delivery and better …

Deep learning for medical image registration: A comprehensive review

S Bharati, M Mondal, P Podder, VB Prasath - arXiv preprint arXiv …, 2022 - arxiv.org
Image registration is a critical component in the applications of various medical image
analyses. In recent years, there has been a tremendous surge in the development of deep …

Learning a model-driven variational network for deformable image registration

X Jia, A Thorley, W Chen, H Qiu, L Shen… - … on Medical Imaging, 2021 - ieeexplore.ieee.org
Data-driven deep learning approaches to image registration can be less accurate than
conventional iterative approaches, especially when training data is limited. To address this …

DuSFE: Dual-Channel Squeeze-Fusion-Excitation co-attention for cross-modality registration of cardiac SPECT and CT

X Chen, B Zhou, H Xie, X Guo, J Zhang, JS Duncan… - Medical image …, 2023 - Elsevier
Myocardial perfusion imaging (MPI) using single-photon emission computed tomography
(SPECT) is widely applied for the diagnosis of cardiovascular diseases. Attenuation maps (μ …