AIMC Topic: Deep Learning

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A Multi-Domain Connectome Convolutional Neural Network for Identifying Schizophrenia From EEG Connectivity Patterns.

IEEE journal of biomedical and health informatics Sep 13, 2019
OBJECTIVE: We exploit altered patterns in brain functional connectivity as features for automatic discriminative analysis of neuropsychiatric patients. Deep learning methods have been introduced to functional network classification only very recently...
Neural Networks, Computer Diagnosis, Computer-Assisted Deep Learning Adolescent Humans Schizophrenia Connectome Child Electroencephalography Signal Processing, Computer-Assisted
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Big Data and Artificial Intelligence Modeling for Drug Discovery.

Annual review of pharmacology and toxicology Sep 13, 2019
Due to the massive data sets available for drug candidates, modern drug discovery has advanced to the big data era. Central to this shift is the development of artificial intelligence approaches to implementing innovative modeling based on the dynami...
Models, Theoretical Drug Development Data Mining Drug Discovery Deep Learning Big Data Artificial Intelligence Animals Humans
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A superpixel-driven deep learning approach for the analysis of dermatological wounds.

Computer methods and programs in biomedicine Sep 13, 2019
BACKGROUND: The image-based identification of distinct tissues within dermatological wounds enhances patients' care since it requires no intrusive evaluations. This manuscript presents an approach, we named QTDU, that combines deep learning models wi...
Pattern Recognition, Automated Reproducibility of Results Skin Ulcer Deep Learning Humans Bayes Theorem Sensitivity and Specificity Image Processing, Computer-Assisted Principal Component Analysis Machine Learning Support Vector Machine Diagnosis, Computer-Assisted Dermatology Area Under Curve Algorithms
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Preoperative Prediction of Pancreatic Neuroendocrine Neoplasms Grading Based on Enhanced Computed Tomography Imaging: Validation of Deep Learning with a Convolutional Neural Network.

Neuroendocrinology Sep 13, 2019
INTRODUCTION: The pathological grading of pancreatic neuroendocrine neoplasms (pNENs) is an independent predictor of survival and indicator for treatment. Deep learning (DL) with a convolutional neural network (CNN) may improve the preoperative predi...
Machine Learning Retrospective Studies Female Male Middle Aged Aged Adult Humans Neural Networks, Computer Image Interpretation, Computer-Assisted Neuroendocrine Tumors Deep Learning Tomography, Spiral Computed Pancreatic Neoplasms Neoplasm Grading
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Machine learning for radiomics-based multimodality and multiparametric modeling.

The quarterly journal of nuclear medicine and molecular imaging : official publication of the Italian Association of Nuclear Medicine (AIMN) [and] the International Association of Radiopharmacology (IAR), [and] Section of the Society of... Sep 13, 2019
Due to the recent developments of both hardware and software technologies, multimodality medical imaging techniques have been increasingly applied in clinical practice and research studies. Previously, the application of multimodality imaging in onco...
Diagnostic Imaging Deep Learning Humans Image Processing, Computer-Assisted Models, Statistical Machine Learning
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Analysis of distance-based protein structure prediction by deep learning in CASP13.

Proteins Sep 13, 2019
This paper reports the CASP13 results of distance-based contact prediction, threading, and folding methods implemented in three RaptorX servers, which are built upon the powerful deep convolutional residual neural network (ResNet) method initiated by...
Software Algorithms Deep Learning Computational Biology Machine Learning Protein Conformation Protein Folding Proteins Sequence Alignment Models, Molecular Sequence Analysis, Protein Crystallography, X-Ray
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Deep attention networks reveal the rules of collective motion in zebrafish.

PLoS computational biology Sep 13, 2019
A variety of simple models has been proposed to understand the collective motion of animals. These models can be insightful but may lack important elements necessary to predict the motion of each individual in the collective. Adding more detail incre...
Animals Zebrafish Swimming Behavior, Animal Social Behavior Deep Learning Computational Biology Models, Statistical Spatial Behavior
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Re: A Novel Deep Learning Method for Automatic Assessment of Human Sperm Images.

The Journal of urology Sep 12, 2019
Male Deep Learning Humans Spermatozoa Machine Learning
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Deciphering epigenomic code for cell differentiation using deep learning.

BMC genomics Sep 12, 2019
BACKGROUND: Although DNA sequence plays a crucial role in establishing the unique epigenome of a cell type, little is known about the sequence determinants that lead to the unique epigenomes of different cell types produced during cell differentiatio...
Humans Conserved Sequence Deep Learning Nucleotide Motifs Epigenomics Histone Code Cell Lineage Cell Differentiation CD4-Positive T-Lymphocytes
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Identifying pulmonary nodules or masses on chest radiography using deep learning: external validation and strategies to improve clinical practice.

Clinical radiology Sep 11, 2019
AIM: To test the diagnostic performance of a deep learning-based system for the detection of clinically significant pulmonary nodules/masses on chest radiographs.
Taiwan Radiographic Image Interpretation, Computer-Assisted Quality Improvement Radiography, Thoracic Lung Neoplasms Multiple Pulmonary Nodules Solitary Pulmonary Nodule Middle Aged Diagnosis, Computer-Assisted Deep Learning Software Algorithms Retrospective Studies Sensitivity and Specificity Male Tomography, X-Ray Computed Humans Female
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