AIMC Topic: Magnetic Resonance Imaging

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Fast T2-Weighted Imaging With Deep Learning-Based Reconstruction: Evaluation of Image Quality and Diagnostic Performance in Patients Undergoing Radical Prostatectomy.

Journal of magnetic resonance imaging : JMRI Nov 13, 2021
BACKGROUND: Deep learning-based reconstruction (DLR) can potentially improve image quality by reduction of noise, thereby enabling fast acquisition of magnetic resonance imaging (MRI). However, a systematic evaluation of image quality and diagnostic ...
Prostate Prostatectomy Humans Retrospective Studies Male Deep Learning Magnetic Resonance Imaging
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Unraveling somatotopic organization in the human brain using machine learning and adaptive supervoxel-based parcellations.

NeuroImage Nov 12, 2021
In addition to the well-established somatotopy in the pre- and post-central gyrus, there is now strong evidence that somatotopic organization is evident across other regions in the sensorimotor network. This raises several experimental questions: To ...
Female Young Adult Male Humans Machine Learning Algorithms Sensorimotor Cortex Brain Mapping Psychomotor Performance Movement Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Quantitative imaging of apoptosis following oncolytic virotherapy by magnetic resonance fingerprinting aided by deep learning.

Nature biomedical engineering Nov 11, 2021
Non-invasive imaging methods for detecting intratumoural viral spread and host responses to oncolytic virotherapy are either slow, lack specificity or require the use of radioactive or metal-based contrast agents. Here we show that in mice with gliob...
Animals Deep Learning Magnetic Resonance Spectroscopy Mice Protons Contrast Media Humans Oncolytic Virotherapy Magnetic Resonance Imaging Apoptosis
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Tic Disorder of Children Analyzed and Diagnosed by Magnetic Resonance Imaging Features under Convolutional Neural Network.

Contrast media & molecular imaging Nov 11, 2021
This work aimed to explore the analysis and diagnosis of children with tic disorder by magnetic resonance imaging (MRI) features under convolutional neural network (CNN), to provide a certain reference basis for clinical identification. A total of 45...
Magnetic Resonance Imaging Algorithms Tic Disorders Humans Child Neural Networks, Computer Image Processing, Computer-Assisted
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An Efficient Methodology for Brain MRI Classification Based on DWT and Convolutional Neural Network.

Sensors (Basel, Switzerland) Nov 10, 2021
In this paper, a model based on discrete wavelet transform and convolutional neural network for brain MR image classification has been proposed. The proposed model is comprised of three main stages, namely preprocessing, feature extraction, and class...
Brain Magnetic Resonance Imaging Wavelet Analysis Neural Networks, Computer Algorithms
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Computer-Aided Diagnosis of Children with Cerebral Palsy under Deep Learning Convolutional Neural Network Image Segmentation Model Combined with Three-Dimensional Cranial Magnetic Resonance Imaging.

Journal of healthcare engineering Nov 10, 2021
In this paper, we analyzed the application value and effect of deep learn-based image segmentation model of convolutional neural network (CNN) algorithm combined with 3D brain magnetic resonance imaging (MRI) in diagnosis of cerebral palsy in childre...
Magnetic Resonance Imaging Cerebral Palsy Child Image Processing, Computer-Assisted Humans Neural Networks, Computer Computers Deep Learning
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Emergence of Deep Learning in Knee Osteoarthritis Diagnosis.

Computational intelligence and neuroscience Nov 10, 2021
Osteoarthritis (OA), especially knee OA, is the most common form of arthritis, causing significant disability in patients worldwide. Manual diagnosis, segmentation, and annotations of knee joints remain as the popular method to diagnose OA in clinica...
Humans Neural Networks, Computer Osteoarthritis, Knee Deep Learning Magnetic Resonance Imaging
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The Application of Ultrasound Image in Cancer Diagnosis.

Journal of healthcare engineering Nov 9, 2021
In order to solve the problem of low accuracy, high cost, and difficult detection of traditional algorithms, a new algorithm based on ultrasound imaging is proposed in this paper. The algorithm is based on fuzzy clustering to diagnose the disease and...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Fuzzy Logic Neoplasms Ultrasonography Humans Algorithms
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Diagnosis of Schizophrenia Based on Deep Learning Using fMRI.

Computational and mathematical methods in medicine Nov 9, 2021
Schizophrenia is a brain disease that frequently occurs in young people. Early diagnosis and treatment can reduce family burdens and reduce social costs. There is no objective evaluation index for schizophrenia. In order to improve the classification...
Humans Neural Networks, Computer Algorithms Databases, Factual Functional Neuroimaging Brain ROC Curve Female Computational Biology Case-Control Studies Magnetic Resonance Imaging Adult Diagnosis, Computer-Assisted Schizophrenia Male Deep Learning Middle Aged
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A maChine and deep Learning Approach to predict pulmoNary hyperteNsIon in newbornS with congenital diaphragmatic Hernia (CLANNISH): Protocol for a retrospective study.

PloS one Nov 9, 2021
INTRODUCTION: Outcome predictions of patients with congenital diaphragmatic hernia (CDH) still have some limitations in the prenatal estimate of postnatal pulmonary hypertension (PH). We propose applying Machine Learning (ML), and Deep Learning (DL) ...
Hernias, Diaphragmatic, Congenital Lung Deep Learning Magnetic Resonance Imaging Extracorporeal Membrane Oxygenation Hypertension, Pulmonary Prenatal Diagnosis Pregnancy Female Infant, Newborn Machine Learning Retrospective Studies Humans
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