AIMC Topic: Calcium
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The effect of deep learning-based lesion segmentation on failure load calculations of metastatic femurs using finite element analysis.
Bone
Dec 5, 2023
Bone ranks as the third most frequent tissue affected by cancer metastases, following the lung and liver. Bone metastases are often painful and may result in pathological fracture, which is a major cause of morbidity and mortality in cancer patients....
Machine learning detects symptomatic patients with carotid plaques based on 6-type calcium configuration classification on CT angiography.
European radiology
Nov 20, 2023
OBJECTIVES: While the link between carotid plaque composition and cerebrovascular vascular (CVE) events is recognized, the role of calcium configuration remains unclear. This study aimed to develop and validate a CT angiography (CTA)-based machine le...
The Role of Artificial Intelligence in Coronary Calcium Scoring in Standard Cardiac Computed Tomography and Chest Computed Tomography With Different Reconstruction Kernels.
Journal of thoracic imaging
Nov 20, 2023
PURPOSE: To assess the correlation of coronary calcium score (CS) obtained by artificial intelligence (AI) with those obtained by electrocardiography gated standard cardiac computed tomography (CCT) and nongated chest computed tomography (ChCT) with ...
Validation of a convolutional neural network algorithm for calcium score quantification using a multivendor dataset.
Journal of cardiovascular computed tomography
Nov 7, 2023
Robot-Assisted Parathyroidectomy Using Indocyanine Green (ICG) Fluorescence in Primary Hyperparathyroidism.
Medicina (Kaunas, Lithuania)
Aug 12, 2023
: Surgical treatment for primary hyperparathyroidism (PHPT) has evolved from bilateral exploration through a long transcervical incision to focused parathyroidectomy with a minimal incision above the pathologic gland. Recently, endoscopic or robot-as...
Jump-GRS: a multi-phase approach to structured pruning of neural networks for neural decoding.
Journal of neural engineering
Jul 31, 2023
Neural decoding, an important area of neural engineering, helps to link neural activity to behavior. Deep neural networks (DNNs), which are becoming increasingly popular in many application fields of machine learning, show promising performance in ne...
Artificial intelligence for coronary artery calcium scoring: A new trick for an old dog?
European journal of radiology
Jul 10, 2023
FPGA-Based In-Vivo Calcium Image Decoding for Closed-Loop Feedback Applications.
IEEE transactions on biomedical circuits and systems
May 10, 2023
Miniaturized calcium imaging is an emerging neural recording technique that has been widely used for monitoring neural activity on a large scale at a specific brain region of rats or mice. Most existing calcium-image analysis pipelines operate offlin...
Artificial intelligence in coronary artery calcium measurement: Barriers and solutions for implementation into daily practice.
European journal of radiology
May 7, 2023
Coronary artery calcification (CAC) measurement is a valuable predictor of cardiovascular risk. However, its measurement can be time-consuming and complex, thus driving the desire for artificial intelligence (AI)-based approaches. The aim of this rev...
Learnable latent embeddings for joint behavioural and neural analysis.
Nature
May 3, 2023
Mapping behavioural actions to neural activity is a fundamental goal of neuroscience. As our ability to record large neural and behavioural data increases, there is growing interest in modelling neural dynamics during adaptive behaviours to probe neu...
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