Noise suppression with similarity-based self-supervised deep learning
Image denoising is a prerequisite for downstream tasks in many fields. Low-dose and
photon-counting computed tomography (CT) denoising can optimize diagnostic …
photon-counting computed tomography (CT) denoising can optimize diagnostic …
Deep embedding-attention-refinement for sparse-view CT reconstruction
Tomographic image reconstruction with deep learning is an emerging field of applied
artificial intelligence. Reducing radiation dose with sparse views' reconstruction is a …
artificial intelligence. Reducing radiation dose with sparse views' reconstruction is a …
Review of deep learning-based methods for non-destructive evaluation of agricultural products
Deep Learning (DL) has emerged as a pivotal modelling tool in various domains because of
its proficiency in learning distributed representations. Numerous DL algorithms have …
its proficiency in learning distributed representations. Numerous DL algorithms have …
Hypernetwork-based physics-driven personalized federated learning for CT imaging
In clinical practice, computed tomography (CT) is an important noninvasive inspection
technology to provide patients' anatomical information. However, its potential radiation risk is …
technology to provide patients' anatomical information. However, its potential radiation risk is …
Spectral2Spectral: Image-spectral similarity assisted deep spectral CT reconstruction without reference
Spectral computed tomography based on a photon-counting detector (PCD) attracts more
and more attentions since it has the capability to provide more accurate identification and …
and more attentions since it has the capability to provide more accurate identification and …
Hypernetwork-based personalized federated learning for multi-institutional CT imaging
Computed tomography (CT) is of great importance in clinical practice due to its powerful
ability to provide patients' anatomical information without any invasive inspection, but its …
ability to provide patients' anatomical information without any invasive inspection, but its …
Two-and-a-half order score-based model for solving 3D ill-posed inverse problems
Abstract Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) are crucial
technologies in the field of medical imaging. Score-based models demonstrated …
technologies in the field of medical imaging. Score-based models demonstrated …
A deep learning approach for rapid and generalizable denoising of photon-counting micro-ct images
Photon-counting CT (PCCT) is powerful for spectral imaging and material decomposition but
produces noisy weighted filtered backprojection (wFBP) reconstructions. Although iterative …
produces noisy weighted filtered backprojection (wFBP) reconstructions. Although iterative …
Spectral CT image-domain material decomposition via sparsity residual prior and dictionary learning
T Zhang, H Yu, Y Xi, S Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The spectral computed tomography (CT) system based on a photon-counting detector (PCD)
can quantitatively analyze the material composition of the inspected object by material …
can quantitatively analyze the material composition of the inspected object by material …