[HTML][HTML] Generative AI for brain image computing and brain network computing: a review
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 …
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
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 …
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
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 …
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) …
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
Subject motion in whole-body dynamic PET introduces inter-frame mismatch and seriously
impacts parametric imaging. Traditional non-rigid registration methods are generally …
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
Background The total-body positron emission tomography (PET) scanner provides an
unprecedented opportunity to scan the whole body simultaneously, thanks to its long axial …
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 …
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
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 …
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
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 …
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 …
and solar power poses challenges to the safe and stable operation of power systems …