[HTML][HTML] Generative AI for brain image computing and brain network computing: a review

C Gong, C Jing, X Chen, CM Pun, G Huang… - Frontiers in …, 2023 - frontiersin.org
Recent years have witnessed a significant advancement in brain imaging techniques that
offer a non-invasive approach to mapping the structure and function of the brain …

[HTML][HTML] Generative adversarial networks in brain imaging: A narrative review

ME Laino, P Cancian, LS Politi, MG Della Porta… - Journal of …, 2022 - mdpi.com
Artificial intelligence (AI) is expected to have a major effect on radiology as it demonstrated
remarkable progress in many clinical tasks, mostly regarding the detection, segmentation …

[HTML][HTML] Enhancing magnetic resonance imaging-driven Alzheimer's disease classification performance using generative adversarial learning

X Zhou, S Qiu, PS Joshi, C Xue, RJ Killiany… - Alzheimer's research & …, 2021 - Springer
Generative adversarial networks (GAN) can produce images of improved quality but their
ability to augment image-based classification is not fully explored. We evaluated if a …

Applications of generative adversarial networks (GANs) in positron emission tomography (PET) imaging: A review

ID Apostolopoulos, ND Papathanasiou… - European Journal of …, 2022 - Springer
Purpose This paper reviews recent applications of Generative Adversarial Networks (GANs)
in Positron Emission Tomography (PET) imaging. Recent advances in Deep Learning (DL) …

Unsupervised inter-frame motion correction for whole-body dynamic PET using convolutional long short-term memory in a convolutional neural network

X Guo, B Zhou, D Pigg, B Spottiswoode, ME Casey… - Medical Image …, 2022 - Elsevier
Subject motion in whole-body dynamic PET introduces inter-frame mismatch and seriously
impacts parametric imaging. Traditional non-rigid registration methods are generally …

[HTML][HTML] Motion correction and its impact on quantification in dynamic total-body 18F-fluorodeoxyglucose PET

T Sun, Y Wu, W Wei, F Fu, N Meng, H Chen, X Li, Y Bai… - EJNMMI physics, 2022 - Springer
Background The total-body positron emission tomography (PET) scanner provides an
unprecedented opportunity to scan the whole body simultaneously, thanks to its long axial …

PET/MR technology: advancement and challenges

B Bogdanovic, EL Solari, AV Asiares, L McIntosh… - Seminars in Nuclear …, 2022 - Elsevier
When this article was written, it coincided with the 11th anniversary of the installation of our
PET/MR device in Munich. In fact, this was the first fully integrated device to be in clinical …

[HTML][HTML] Machine learning for brain MRI data harmonisation: a systematic review

G Wen, V Shim, SJ Holdsworth, J Fernandez, M Qiao… - Bioengineering, 2023 - mdpi.com
Background: Magnetic Resonance Imaging (MRI) data collected from multiple centres can
be heterogeneous due to factors such as the scanner used and the site location. To reduce …

Fully automated, fast motion correction of dynamic whole-body and total-body PET/CT imaging studies

LKS Sundar, ML Lassen, S Gutschmayer… - Journal of Nuclear …, 2023 - Soc Nuclear Med
We introduce the Fast Algorithm for Motion Correction (FALCON) software, which allows
correction of both rigid and nonlinear motion artifacts in dynamic whole-body (WB) images …

[HTML][HTML] Research on short-term joint optimization scheduling strategy for hydro-wind-solar hybrid systems considering uncertainty in renewable energy generation

F Li, S Chen, C Ju, X Zhang, G Ma, W Huang - Energy Strategy Reviews, 2023 - Elsevier
Due to its randomness, intermittence, and volatility, the high-proportional integration of wind
and solar power poses challenges to the safe and stable operation of power systems …