[HTML][HTML] Deep learning based synthesis of MRI, CT and PET: Review and analysis
Medical image synthesis represents a critical area of research in clinical decision-making,
aiming to overcome the challenges associated with acquiring multiple image modalities for …
aiming to overcome the challenges associated with acquiring multiple image modalities for …
A review on medical imaging synthesis using deep learning and its clinical applications
This paper reviewed the deep learning‐based studies for medical imaging synthesis and its
clinical application. Specifically, we summarized the recent developments of deep learning …
clinical application. Specifically, we summarized the recent developments of deep learning …
[HTML][HTML] The promise of artificial intelligence and deep learning in PET and SPECT imaging
This review sets out to discuss the foremost applications of artificial intelligence (AI),
particularly deep learning (DL) algorithms, in single-photon emission computed tomography …
particularly deep learning (DL) algorithms, in single-photon emission computed tomography …
Applications of artificial intelligence and deep learning in molecular imaging and radiotherapy
This brief review summarizes the major applications of artificial intelligence (AI), in particular
deep learning approaches, in molecular imaging and radiation therapy research. To this …
deep learning approaches, in molecular imaging and radiation therapy research. To this …
Deep learning-assisted ultra-fast/low-dose whole-body PET/CT imaging
Purpose Tendency is to moderate the injected activity and/or reduce acquisition time in PET
examinations to minimize potential radiation hazards and increase patient comfort. This …
examinations to minimize potential radiation hazards and increase patient comfort. This …
Deep learning-based image reconstruction and post-processing methods in positron emission tomography for low-dose imaging and resolution enhancement
Image processing plays a crucial role in maximising diagnostic quality of positron emission
tomography (PET) images. Recently, deep learning methods developed across many fields …
tomography (PET) images. Recently, deep learning methods developed across many fields …
Ultra-low-dose chest CT imaging of COVID-19 patients using a deep residual neural network
Objectives The current study aimed to design an ultra-low-dose CT examination protocol
using a deep learning approach suitable for clinical diagnosis of COVID-19 patients …
using a deep learning approach suitable for clinical diagnosis of COVID-19 patients …
Deep-JASC: joint attenuation and scatter correction in whole-body 18F-FDG PET using a deep residual network
Objective We demonstrate the feasibility of direct generation of attenuation and scatter-
corrected images from uncorrected images (PET-nonASC) using deep residual networks in …
corrected images from uncorrected images (PET-nonASC) using deep residual networks in …
Whole-body voxel-based internal dosimetry using deep learning
Purpose In the era of precision medicine, patient-specific dose calculation using Monte
Carlo (MC) simulations is deemed the gold standard technique for risk-benefit analysis of …
Carlo (MC) simulations is deemed the gold standard technique for risk-benefit analysis of …
Deep learning–based denoising of low-dose SPECT myocardial perfusion images: quantitative assessment and clinical performance
N Aghakhan Olia, A Kamali-Asl, S Hariri Tabrizi… - European journal of …, 2022 - Springer
Purpose This work was set out to investigate the feasibility of dose reduction in SPECT
myocardial perfusion imaging (MPI) without sacrificing diagnostic accuracy. A deep learning …
myocardial perfusion imaging (MPI) without sacrificing diagnostic accuracy. A deep learning …