AIMC Topic: Calcium

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Deep Learning of Coronary Calcium Scores From PET/CT Attenuation Maps Accurately Predicts Adverse Cardiovascular Events.

JACC. Cardiovascular imaging
BACKGROUND: Assessment of coronary artery calcium (CAC) by computed tomographic (CT) imaging provides an accurate measure of atherosclerotic burden. CAC is also visible in computed tomographic attenuation correction (CTAC) scans, always acquired with...

Fast, efficient, and accurate neuro-imaging denoising via supervised deep learning.

Nature communications
Volumetric functional imaging is widely used for recording neuron activities in vivo, but there exist tradeoffs between the quality of the extracted calcium traces, imaging speed, and laser power. While deep-learning methods have recently been applie...

Utility of Fully Automated Body Composition Measures on Pretreatment Abdominal CT for Predicting Survival in Patients With Colorectal Cancer.

AJR. American journal of roentgenology
CT examinations contain opportunistic body composition data with potential prognostic utility. Previous studies have primarily used manual or semiautomated tools to evaluate body composition in patients with colorectal cancer (CRC). The purpose of ...

Development of a spontaneous pain indicator based on brain cellular calcium using deep learning.

Experimental & molecular medicine
Chronic pain remains an intractable condition in millions of patients worldwide. Spontaneous ongoing pain is a major clinical problem of chronic pain and is extremely challenging to diagnose and treat compared to stimulus-evoked pain. Although extens...

Microrobotic Swarms for Intracellular Measurement with Enhanced Signal-to-Noise Ratio.

ACS nano
In cell biology, fluorescent dyes are routinely used for biochemical measurements. The traditional global dye treatment method suffers from low signal-to-noise ratios (SNR), especially when used for detecting a low concentration of ions, and increasi...

Reconstruction Algorithm-Based CT Imaging for the Diagnosis of Hepatic Ascites.

Computational and mathematical methods in medicine
The study was aimed at exploring the diagnostic value of artificial intelligence reconstruction algorithm combined with CT image parameters on hepatic ascites, expected to provide a reference for the etiological evaluation of clinical abdominal effus...

A deep-learning method for the denoising of ultra-low dose chest CT in coronary artery calcium score evaluation.

Clinical radiology
AIM: To evaluate a novel deep-learning denoising method for ultra-low dose CT (ULDCT) in the assessment of coronary artery calcium score (CACS).

A deep-learning approach for online cell identification and trace extraction in functional two-photon calcium imaging.

Nature communications
In vivo two-photon calcium imaging is a powerful approach in neuroscience. However, processing two-photon calcium imaging data is computationally intensive and time-consuming, making online frame-by-frame analysis challenging. This is especially true...