AIMC Topic: Deep Learning

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Automatic snoring sounds detection from sleep sounds based on deep learning.

Physical and engineering sciences in medicine May 6, 2020
Snoring is a typical characteristic of obstructive sleep apnea hypopnea syndrome (OSAHS) and can be used for its diagnosis. The purpose of this paper is to develop an automatic snoring detection algorithm for classifying snore and non-snore sound seg...
Neural Networks, Computer Algorithms Humans Middle Aged Deep Learning ROC Curve Female Sleep Adult Male Automation Snoring
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Using deep neural networks to detect complex spikes of cerebellar Purkinje cells.

Journal of neurophysiology May 6, 2020
One of the most powerful excitatory synapses in the brain is formed by cerebellar climbing fibers, originating from neurons in the inferior olive, that wrap around the proximal dendrites of cerebellar Purkinje cells. The activation of a single olivar...
Macaca mulatta Electrophysiological Phenomena Purkinje Cells Deep Learning Action Potentials Animals Male
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Fully automated brain resection cavity delineation for radiation target volume definition in glioblastoma patients using deep learning.

Radiation oncology (London, England) May 6, 2020
BACKGROUND: Automated brain tumor segmentation methods are computational algorithms that yield tumor delineation from, in this case, multimodal magnetic resonance imaging (MRI). We present an automated segmentation method and its results for resectio...
Brain Neoplasms Deep Learning Magnetic Resonance Imaging Humans Brain Tumor Burden Radiotherapy, Adjuvant Radiotherapy, Image-Guided Glioblastoma Radiographic Image Interpretation, Computer-Assisted Neurosurgical Procedures
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Multifaceted analysis of training and testing convolutional neural networks for protein secondary structure prediction.

PloS one May 6, 2020
Protein secondary structure prediction remains a vital topic with broad applications. Due to lack of a widely accepted standard in secondary structure predictor evaluation, a fair comparison of predictors is challenging. A detailed examination of fac...
Amino Acids Neural Networks, Computer Deep Learning Amino Acid Sequence Software Proteins Protein Structure, Secondary Algorithms Databases, Protein
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Automatic segmentation of multiple cardiovascular structures from cardiac computed tomography angiography images using deep learning.

PloS one May 6, 2020
OBJECTIVES: To develop, demonstrate and evaluate an automated deep learning method for multiple cardiovascular structure segmentation.
Heart Male Coronary Vessels Humans Computed Tomography Angiography Middle Aged Female Deep Learning Aged Heart Ventricles Heart Atria
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Deep learning-based multi-view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study.

European journal of radiology May 5, 2020
PURPOSE: To develop a deep learning-based method to assist radiologists to fast and accurately identify patients with COVID-19 by CT images.
Mass Screening Coronavirus Infections Betacoronavirus Pneumonia, Viral Middle Aged Deep Learning ROC Curve Female SARS-CoV-2 Pandemics Male Retrospective Studies Humans COVID-19 Tomography, X-Ray Computed
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SDLDA: lncRNA-disease association prediction based on singular value decomposition and deep learning.

Methods (San Diego, Calif.) May 5, 2020
In recent years, accumulating studies have shown that long non-coding RNAs (lncRNAs) not only play an important role in the regulation of various biological processes but also are the foundation for understanding mechanisms of human diseases. Due to ...
Gene Expression Regulation Genetic Predisposition to Disease Genetic Association Studies Computational Biology Data Mining Datasets as Topic Databases, Genetic RNA, Long Noncoding Humans Neoplasms Deep Learning
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Detecting the occluding contours of the uterus to automatise augmented laparoscopy: score, loss, dataset, evaluation and user study.

International journal of computer assisted radiology and surgery May 5, 2020
PURPOSE: The registration of a preoperative 3D model, reconstructed, for example, from MRI, to intraoperative laparoscopy 2D images, is the main challenge to achieve augmented reality in laparoscopy. The current systems have a major limitation: they ...
Augmented Reality Gynecologic Surgical Procedures Humans Female Uterus Laparoscopy Deep Learning Magnetic Resonance Imaging
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DeepSeg: deep neural network framework for automatic brain tumor segmentation using magnetic resonance FLAIR images.

International journal of computer assisted radiology and surgery May 5, 2020
PURPOSE: Gliomas are the most common and aggressive type of brain tumors due to their infiltrative nature and rapid progression. The process of distinguishing tumor boundaries from healthy cells is still a challenging task in the clinical routine. Fl...
Humans Magnetic Resonance Imaging Neural Networks, Computer Deep Learning Brain Neoplasms Image Processing, Computer-Assisted Disease Progression Glioma
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Deep Learning Hybrid Method to Automatically Diagnose Periodontal Bone Loss and Stage Periodontitis.

Scientific reports May 5, 2020
We developed an automatic method for staging periodontitis on dental panoramic radiographs using the deep learning hybrid method. A novel hybrid framework was proposed to automatically detect and classify the periodontal bone loss of each individual ...
Algorithms Reproducibility of Results Diagnosis, Computer-Assisted Humans Deep Learning Periodontitis Maxilla Mandible Pattern Recognition, Automated Alveolar Bone Loss Image Processing, Computer-Assisted
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