AIMC Topic: Reproducibility of Results

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A Classification Algorithm by Combination of Feature Decomposition and Kernel Discriminant Analysis (KDA) for Automatic MR Brain Image Classification and AD Diagnosis.

Computational and mathematical methods in medicine Dec 30, 2019
Magnetic resonance (MR) imaging is a widely used imaging modality for detection of brain anatomical variations caused by brain diseases such as Alzheimer's disease (AD) and mild cognitive impairment (MCI). AD considered as an irreversible neurodegene...
Middle Aged Humans Disease Progression Diagnosis, Computer-Assisted Machine Learning Positron-Emission Tomography Cognitive Dysfunction Algorithms Image Interpretation, Computer-Assisted Databases, Factual Female Linear Models Biomarkers Reproducibility of Results Pattern Recognition, Automated Image Processing, Computer-Assisted Brain Aged Neuroimaging Magnetic Resonance Imaging Male Discriminant Analysis Alzheimer Disease
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Automatic identification of crossovers in cryo-EM images of murine amyloid protein A fibrils with machine learning.

Journal of microscopy Dec 29, 2019
Detecting crossovers in cryo-electron microscopy images of protein fibrils is an important step towards determining the morphological composition of a sample. Currently, the crossover locations are picked by hand, which introduces errors and is a tim...
Image Processing, Computer-Assisted Mice Neural Networks, Computer Amyloid Machine Learning Protein Conformation Reproducibility of Results Cryoelectron Microscopy Animals
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Comparison of the predictive outcomes for anti-tuberculosis drug-induced hepatotoxicity by different machine learning techniques.

Computer methods and programs in biomedicine Dec 27, 2019
BACKGROUND: The study compared the predictive outcomes of artificial neural network, support vector machine and random forest on the occurrence of anti-tuberculosis drug-induced hepatotoxicity.
Gene Frequency Polymorphism, Genetic Chemical and Drug Induced Liver Injury Liver Taiwan Antitubercular Agents Adult Tuberculosis Sensitivity and Specificity Reproducibility of Results Male Risk Factors Middle Aged Aged Genomics Drug Discovery Aged, 80 and over Humans Genotype ROC Curve Neural Networks, Computer Support Vector Machine Machine Learning Female
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iProDNA-CapsNet: identifying protein-DNA binding residues using capsule neural networks.

BMC bioinformatics Dec 27, 2019
BACKGROUND: Since protein-DNA interactions are highly essential to diverse biological events, accurately positioning the location of the DNA-binding residues is necessary. This biological issue, however, is currently a challenging task in the age of ...
Amino Acid Sequence Position-Specific Scoring Matrices Neural Networks, Computer Software Algorithms Reproducibility of Results ROC Curve DNA Amino Acids DNA-Binding Proteins Humans
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IILLS: predicting virus-receptor interactions based on similarity and semi-supervised learning.

BMC bioinformatics Dec 27, 2019
BACKGROUND: Viral infectious diseases are the serious threat for human health. The receptor-binding is the first step for the viral infection of hosts. To more effectively treat human viral infectious diseases, the hidden virus-receptor interactions ...
Algorithms Reproducibility of Results ROC Curve Least-Squares Analysis Humans Software Supervised Machine Learning Viruses Receptors, Virus
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Are All Deep Learning Architectures Alike for Point-of-Care Ultrasound?: Evidence From a Cardiac Image Classification Model Suggests Otherwise.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Dec 24, 2019
OBJECTIVES: Little is known about optimal deep learning (DL) approaches for point-of-care ultrasound (POCUS) applications. We compared 6 popular DL architectures for POCUS cardiac image classification to determine whether an optimal DL architecture e...
Neural Networks, Computer Reproducibility of Results Point-of-Care Systems Deep Learning Time Factors Humans Ultrasonography Heart Heart Diseases Image Interpretation, Computer-Assisted
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Development and validation of a machine learning, smartphone-based tonometer.

The British journal of ophthalmology Dec 23, 2019
BACKGROUND/AIMS: To compare intraocular pressure (IOP) measurements using a prototype smartphone tonometer with other tonometers used in clinical practice.
Glaucoma, Angle-Closure Tonometry, Ocular Low Tension Glaucoma Aged Adult Intraocular Pressure Male Smartphone Humans Glaucoma, Open-Angle Machine Learning Ocular Hypertension Female Middle Aged Reproducibility of Results Pilot Projects
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Preterm Infants' Pose Estimation With Spatio-Temporal Features.

IEEE transactions on bio-medical engineering Dec 23, 2019
OBJECTIVE: Preterm infants' limb monitoring in neonatal intensive care units (NICUs) is of primary importance for assessing infants' health status and motor/cognitive development. Herein, we propose a new approach to preterm infants' limb pose estima...
Neural Networks, Computer Infant, Newborn Reproducibility of Results Infant, Premature Humans
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Beyond Performance Metrics: Automatic Deep Learning Retinal OCT Analysis Reproduces Clinical Trial Outcome.

Ophthalmology Dec 23, 2019
PURPOSE: To validate the efficacy of a fully automatic, deep learning-based segmentation algorithm beyond conventional performance metrics by measuring the primary outcome of a clinical trial for macular telangiectasia type 2 (MacTel2).
Visual Fields Visual Field Tests Fluorescein Angiography Ciliary Neurotrophic Factor Drug Implants Retinal Photoreceptor Cell Inner Segment Retinal Photoreceptor Cell Outer Segment Retinal Vessels Retinal Telangiectasis Deep Learning Treatment Outcome Visual Acuity Humans Tomography, Optical Coherence Female Reproducibility of Results Male
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Multi-planar 3D breast segmentation in MRI via deep convolutional neural networks.

Artificial intelligence in medicine Dec 23, 2019
Nowadays, Dynamic Contrast Enhanced-Magnetic Resonance Imaging (DCE-MRI) has demonstrated to be a valid complementary diagnostic tool for early detection and diagnosis of breast cancer. However, without a CAD (Computer Aided Detection) system, manual...
Early Detection of Cancer Humans Breast Neoplasms Breast Neural Networks, Computer Deep Learning Machine Learning Image Processing, Computer-Assisted Reproducibility of Results Magnetic Resonance Imaging
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