AIMC Topic: Reproducibility of Results

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Deep Convolution Neural Network (DCNN) Multiplane Approach to Synthetic CT Generation From MR images-Application in Brain Proton Therapy.

International journal of radiation oncology, biology, physics Jul 2, 2019
PURPOSE: The first aim of this work is to present a novel deep convolution neural network (DCNN) multiplane approach and compare it to single-plane prediction of synthetic computed tomography (sCT) by using the real computed tomography (CT) as ground...
Neural Networks, Computer Algorithms Tomography, X-Ray Computed Reproducibility of Results Brain Neoplasms Humans Proton Therapy Radiotherapy, Image-Guided Technology, Radiologic Magnetic Resonance Imaging Multimodal Imaging Glioblastoma Feasibility Studies Radiotherapy Planning, Computer-Assisted Head Radiotherapy Dosage Air Skull
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Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study.

Eye (London, England) Jul 2, 2019
OBJECTIVES: To evaluate the performance of a deep learning based Artificial Intelligence (AI) software for detection of glaucoma from stereoscopic optic disc photographs, and to compare this performance to the performance of a large cohort of ophthal...
Observer Variation Humans Optic Disk Artificial Intelligence Optic Nerve Diseases Ophthalmologists Retrospective Studies False Positive Reactions Photography Glaucoma, Open-Angle Reproducibility of Results Optometrists Clinical Competence Sensitivity and Specificity ROC Curve Diagnosis, Computer-Assisted Europe Deep Learning Predictive Value of Tests
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Cancer classification and pathway discovery using non-negative matrix factorization.

Journal of biomedical informatics Jul 2, 2019
OBJECTIVES: Extracting genetic information from a full range of sequencing data is important for understanding disease. We propose a novel method to effectively explore the landscape of genetic mutations and aggregate them to predict cancer type.
Pilot Projects Cell Line, Tumor Gene Expression Regulation, Neoplastic Support Vector Machine Databases, Genetic Algorithms Reproducibility of Results Neoplasms Diagnosis, Computer-Assisted Sequence Analysis, DNA Regression Analysis Mutation Exome Humans
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Effective locomotion at multiple stride frequencies using proprioceptive feedback on a legged microrobot.

Bioinspiration & biomimetics Jul 1, 2019
Limitations in actuation, sensing, and computation have forced small legged robots to rely on carefully tuned, mechanically mediated leg trajectories for effective locomotion. Recent advances in manufacturing, however, have enabled in such robots the...
Gait Biomimetics Calibration Reproducibility of Results Locomotion Proprioception Robotics
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SmartPulse, a machine learning approach for calibration-free dynamic RF shimming: Preliminary study in a clinical environment.

Magnetic resonance in medicine Jun 30, 2019
PURPOSE: A calibration-free pulse design method is introduced to alleviate artifacts in clinical routine with parallel transmission at high field, dealing with significant inter-subject variability, found for instance in the abdomen.
Radio Waves Cluster Analysis Image Interpretation, Computer-Assisted Artifacts Calibration Humans Machine Learning Algorithms Middle Aged Aged Female Image Processing, Computer-Assisted Aged, 80 and over Reproducibility of Results Abdomen Young Adult Body Mass Index Adult Magnetic Resonance Imaging Male
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Automatic recognition of different types of acute leukaemia in peripheral blood by image analysis.

Journal of clinical pathology Jun 29, 2019
AIMS: Morphological differentiation among different blast cell lineages is a difficult task and there is a lack of automated analysers able to recognise these abnormal cells. This study aims to develop a machine learning approach to predict the diagn...
Humans Machine Learning Reproducibility of Results Acute Disease Cell Lineage Staining and Labeling Leukocytes Leukemia Diagnosis, Differential Image Interpretation, Computer-Assisted Predictive Value of Tests Pattern Recognition, Automated Blood Specimen Collection
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C-HMOSHSSA: Gene selection for cancer classification using multi-objective meta-heuristic and machine learning methods.

Computer methods and programs in biomedicine Jun 29, 2019
BACKGROUND AND OBJECTIVE: Over the last two decades, DNA microarray technology has emerged as a powerful tool for early cancer detection and prevention. It helps to provide a detailed overview of disease complex microenvironment. Moreover, online ava...
Heuristics Oligonucleotide Array Sequence Analysis Predatory Behavior Social Behavior Tumor Microenvironment Neoplasms Humans Databases, Factual Biomarkers, Tumor Computational Biology Computer Simulation Machine Learning Animals Support Vector Machine Female Software Male Early Detection of Cancer Reproducibility of Results Algorithms Gene Expression Sensitivity and Specificity
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Utilization of Artificial Intelligence in Echocardiography.

Circulation journal : official journal of the Japanese Circulation Society Jun 29, 2019
Echocardiography has a central role in the diagnosis and management of cardiovascular disease. Precise and reliable echocardiographic assessment is required for clinical decision-making. Even if the development of new technologies (3-dimentional echo...
Cardiovascular Diseases Echocardiography Diagnosis, Computer-Assisted Deep Learning Predictive Value of Tests Workflow Diffusion of Innovation Image Interpretation, Computer-Assisted Humans Machine Learning Forecasting Reproducibility of Results
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Gene Expression Data Based Deep Learning Model for Accurate Prediction of Drug-Induced Liver Injury in Advance.

Journal of chemical information and modeling Jun 28, 2019
Drug-induced liver injury (DILI), one of the most common adverse effects, leads to drug development failure or withdrawal from the market in most cases, showing an emerging challenge that is to accurately predict DILI in the early stage. Recently, th...
Rats Rats, Sprague-Dawley Structure-Activity Relationship Molecular Structure Models, Biological Gene Expression Regulation Chemical and Drug Induced Liver Injury Vinblastine Computer Simulation Reproducibility of Results Animals Male Drug Discovery Machine Learning Algorithms
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Determination of the physical domain for air quality monitoring stations using the ANP-OWA method in GIS.

Environmental monitoring and assessment Jun 28, 2019
Air pollution is a major concern in some megacities of Iran. Specific cities in the country have reached an extremely harmful level of air pollution which poses a serious risk to the daily lives of Iranians. According to news reports, the air quality...
Air Pollution Iran Humans Neural Networks, Computer Reproducibility of Results Algorithms Geographic Information Systems Cities Environmental Monitoring Air Pollutants
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