Humans

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Magnetocardiography-Based Ischemic Heart Disease Detection and Localization Using Machine Learning Methods.

IEEE transactions on bio-medical engineering Oct 23, 2018
OBJECTIVE: This study focused on developing a fast and accurate automatic ischemic heart disease detection/localization methodology.
Coronary Stenosis Heart Myocardial Ischemia Magnetocardiography Support Vector Machine Signal Processing, Computer-Assisted Adult Male Diagnosis, Computer-Assisted Humans Machine Learning
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Recognizing Brain States Using Deep Sparse Recurrent Neural Network.

IEEE transactions on medical imaging Oct 23, 2018
Brain activity is a dynamic combination of different sensory responses and thus brain activity/state is continuously changing over time. However, the brain's dynamical functional states recognition at fast time-scales in task fMRI data have been rare...
Brain Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Humans Connectome Neural Networks, Computer
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Deep neural network predicts emotional responses of the human brain from functional magnetic resonance imaging.

NeuroImage Oct 23, 2018
An artificial neural network with multiple hidden layers (known as a deep neural network, or DNN) was employed as a predictive model (DNN) for the first time to predict emotional responses using whole-brain functional magnetic resonance imaging (fMRI...
Magnetic Resonance Imaging Humans Emotions Deep Learning Brain Mapping Image Processing, Computer-Assisted Neural Networks, Computer Auditory Perception Support Vector Machine Brain Adult Young Adult Male
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Unsupervised feature extraction by low-rank and sparsity preserving embedding.

Neural networks : the official journal of the International Neural Network Society Oct 23, 2018
Manifold based feature extraction has been proved to be an effective technique in dealing with the unsupervised classification tasks. However, most of the existing works cannot guarantee the global optimum of the learned projection, and they are sens...
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Humans Algorithms Databases, Factual Unsupervised Machine Learning
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Deep Learning for MR Angiography: Automated Detection of Cerebral Aneurysms.

Radiology Oct 23, 2018
Purpose To develop and evaluate a supportive algorithm using deep learning for detecting cerebral aneurysms at time-of-flight MR angiography to provide a second assessment of images already interpreted by radiologists. Materials and Methods MR images...
Aged Male Middle Aged Retrospective Studies Female Intracranial Aneurysm Deep Learning Image Interpretation, Computer-Assisted Magnetic Resonance Angiography Humans Algorithms Brain
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How far have decision tree models come for data mining in drug discovery?

Expert opinion on drug discovery Oct 23, 2018
Humans Machine Learning Decision Trees Data Mining Molecular Docking Simulation Drug Discovery
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Classification of acute lymphoblastic leukemia using deep learning.

Microscopy research and technique Oct 23, 2018
Acute Leukemia is a life-threatening disease common both in children and adults that can lead to death if left untreated. Acute Lymphoblastic Leukemia (ALL) spreads out in children's bodies rapidly and takes the life within a few weeks. To diagnose A...
Precursor Cell Lymphoblastic Leukemia-Lymphoma Hematologic Tests Bone Marrow Image Interpretation, Computer-Assisted Pattern Recognition, Automated Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Response to Johnston re: MRI Displays the Prostatic Cancer Anatomy and Improves the Bundles Management Before Robot-Assisted Radical Prostatectomy by Bianchi et al. (From: Johnston WK, III. J Endourol 2018;32:322-323).

Journal of endourology Oct 23, 2018
Robotics Prostatic Neoplasms Prostatectomy Humans Male Magnetic Resonance Imaging
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Iterative quality enhancement via residual-artifact learning networks for low-dose CT.

Physics in medicine and biology Oct 23, 2018
Radiation exposure and the associated risk of cancer for patients in computed tomography (CT) scans have been major clinical concerns. The radiation exposure can be reduced effectively via lowering the x-ray tube current (mA). However, this strategy ...
Plaque, Atherosclerotic Radionuclide Imaging Radiation Exposure Tomography, X-Ray Computed Neural Networks, Computer Brain Diseases Humans Radiographic Image Interpretation, Computer-Assisted Machine Learning Radiation Dosage Artifacts Algorithms
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Blood Pressure Estimation Using Photoplethysmography Only: Comparison between Different Machine Learning Approaches.

Journal of healthcare engineering Oct 23, 2018
INTRODUCTION: Blood pressure (BP) has been a potential risk factor for cardiovascular diseases. BP measurement is one of the most useful parameters for early diagnosis, prevention, and treatment of cardiovascular diseases. At present, BP measurement ...
Algorithms Humans Signal Processing, Computer-Assisted Photoplethysmography Machine Learning Blood Pressure Determination
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