AIMC Topic: Image Processing, Computer-Assisted

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MB-GAN: Microbiome Simulation via Generative Adversarial Network.

GigaScience Feb 5, 2021
BACKGROUND: Trillions of microbes inhabit the human body and have a profound effect on human health. The recent development of metagenome-wide association studies and other quantitative analysis methods accelerate the discovery of the associations be...
Computer Simulation Image Processing, Computer-Assisted Proteins Microbiota Humans Neural Networks, Computer
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Artificial Intelligence-enabled, Real-time Intraoperative Ultrasound Imaging of Neural Structures Within the Psoas: Validation in a Porcine Spine Model.

Spine Feb 1, 2021
STUDY DESIGN: Experimental in-vivo animal study.
Swine Intraoperative Neurophysiological Monitoring Ultrasonography Image Processing, Computer-Assisted Female Reproducibility of Results Animals Humans Artificial Intelligence Machine Learning Algorithms Spinal Fusion Lumbar Vertebrae Psoas Muscles Models, Animal
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Passive imaging at 250 GHz for detection of face presentation attacks.

Optics express Jan 18, 2021
Face presentation attacks are becoming more efficient since new 3D facial masks are used. Passive terahertz imaging offers specific physical properties that may improve presentation attack detection capabilities. The non-zero transmission capability ...
Facial Recognition Humans Neural Networks, Computer Algorithms Imaging, Three-Dimensional Image Processing, Computer-Assisted Surface Properties Biometric Identification
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Predicting the fMRI Signal Fluctuation with Recurrent Neural Networks Trained on Vascular Network Dynamics.

Cerebral cortex (New York, N.Y. : 1991) Jan 5, 2021
Resting-state functional MRI (rs-fMRI) studies have revealed specific low-frequency hemodynamic signal fluctuations (<0.1 Hz) in the brain, which could be related to neuronal oscillations through the neurovascular coupling mechanism. Given the vascul...
Algorithms Female Young Adult Adult Humans Neural Networks, Computer Magnetic Resonance Imaging Models, Neurological Brain Mapping Electroencephalography Animals Male Image Processing, Computer-Assisted Rats Blood Vessels Default Mode Network Rest Connectome Cerebrovascular Circulation
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Under the Algorithmic Microscope.

IEEE computer graphics and applications Jan 1, 2021
Through the use of generative adversarial networks (GANs), Berlin-based artist Sofia Crespo creates artificial yet realistic biological ecosystems filled with creatures that look like insects, jellyfish, or other complicated organisms. Albertus Seba'...
Neural Networks, Computer Ecosystem Image Processing, Computer-Assisted Berlin
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Cone Beam CT (CBCT) Based Synthetic CT Generation Using Deep Learning Methods for Dose Calculation of Nasopharyngeal Carcinoma Radiotherapy.

Technology in cancer research & treatment Jan 1, 2021
To generate synthetic CT (sCT) images with high quality from CBCT and planning CT (pCT) for dose calculation by using deep learning methods. 169 NPC patients with a total of 20926 slices of CBCT and pCT images were included. In this study the Cycle...
Radiotherapy, Image-Guided Aged Middle Aged Radiotherapy Planning, Computer-Assisted Young Adult Cone-Beam Computed Tomography Humans Deep Learning Radiotherapy Dosage Image Processing, Computer-Assisted Adult Algorithms Nasopharyngeal Carcinoma Adolescent Neoplasm Staging Male Female Neoplasm Grading
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Monte Carlo Dose Calculation Using MRI Based Synthetic CT Generated by Fully Convolutional Neural Network for Gamma Knife Radiosurgery.

Technology in cancer research & treatment Jan 1, 2021
The aim of this work is to study the dosimetric effect from generated synthetic computed tomography (sCT) from magnetic resonance (MR) images using a deep learning algorithm for Gamma Knife (GK) stereotactic radiosurgery (SRS). The Monte Carlo (MC) m...
Monte Carlo Method Phantoms, Imaging Radiotherapy Dosage Radiotherapy, Intensity-Modulated Radiosurgery Humans Neural Networks, Computer Prognosis Image Processing, Computer-Assisted Retrospective Studies Magnetic Resonance Imaging Organs at Risk Tomography, X-Ray Computed Radiotherapy Planning, Computer-Assisted Neoplasms Deep Learning
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Impact of novel deep learning image reconstruction algorithm on diagnosis of contrast-enhanced liver computed tomography imaging: Comparing to adaptive statistical iterative reconstruction algorithm.

Journal of X-ray science and technology Jan 1, 2021
OBJECTIVE: To assess clinical application of applying deep learning image reconstruction (DLIR) algorithm to contrast-enhanced portal venous phase liver computed tomography (CT) for improving image quality and lesions detection rate compared with usi...
Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Liver Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Humans Algorithms
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Differentiation of Intrahepatic Cholangiocarcinoma and Hepatic Lymphoma Based on Radiomics and Machine Learning in Contrast-Enhanced Computer Tomography.

Technology in cancer research & treatment Jan 1, 2021
This study aimed to explore the ability of texture parameters combining with machine learning methods in distinguishing intrahepatic cholangiocarcinoma (ICCA) and hepatic lymphoma (HL). A total of 28 patients with HL and 101 patients with ICCA were...
Cholangiocarcinoma Radiographic Image Enhancement Humans Machine Learning ROC Curve Image Processing, Computer-Assisted Lymphoma Contrast Media Diagnosis, Differential Neoplasm Grading Tumor Burden Bile Duct Neoplasms Reproducibility of Results Algorithms Aged Tomography, X-Ray Computed Male Female Middle Aged
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Analysis of segmentation of lung parenchyma based on deep learning methods.

Journal of X-ray science and technology Jan 1, 2021
Precise segmentation of lung parenchyma is essential for effective analysis of the lung. Due to the obvious contrast and large regional area compared to other tissues in the chest, lung tissue is less difficult to segment. Special attention to detail...
Lung Deep Learning Image Processing, Computer-Assisted Thorax Tomography, X-Ray Computed
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