AIMC Topic: Algorithms

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QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with increased receptive field.

NeuroImage Nov 21, 2019
Quantitative susceptibility mapping (QSM) is a powerful MRI technique that has shown great potential in quantifying tissue susceptibility in numerous neurological disorders. However, the intrinsic ill-posed dipole inversion problem greatly affects th...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Mapping Artifacts Humans Neural Networks, Computer Algorithms Brain Female Male
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Detection of sunn pest-damaged wheat grains using artificial bee colony optimization-based artificial intelligence techniques.

Journal of the science of food and agriculture Nov 21, 2019
BACKGROUND: In this study, artificial intelligence models that identify sunn pest-damaged wheat grains (SDG) and healthy wheat grains (HWG) are presented. Svevo durum wheat cultivated in Konya province, Turkey is used for the process, with 150 HWG an...
Image Processing, Computer-Assisted Seeds Triticum Turkey Neural Networks, Computer Artificial Intelligence Machine Learning Algorithms
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DESIGN AND DEVELOPMENT OF HUMAN COMPUTER INTERFACE USING ELECTROOCULOGRAM WITH DEEP LEARNING.

Artificial intelligence in medicine Nov 21, 2019
Today's life assistive devices were playing significant role in our life to communicate with others. In that modality Human Computer Interface (HCI) based Electrooculogram (EOG) playing vital part. By using this method we can able to overcome the con...
Humans Sex Characteristics Neural Networks, Computer Artifacts Algorithms Pattern Recognition, Automated Reproducibility of Results Deep Learning Female Electrooculography Adult Eye Movements Male User-Computer Interface Aging Electrodes
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Mining multi-site clinical data to develop machine learning MRI biomarkers: application to neonatal hypoxic ischemic encephalopathy.

Journal of translational medicine Nov 21, 2019
BACKGROUND: Secondary and retrospective use of hospital-hosted clinical data provides a time- and cost-efficient alternative to prospective clinical trials for biomarker development. This study aims to create a retrospective clinical dataset of Magne...
Humans Machine Learning Algorithms Biomarkers Clinical Trials as Topic International Classification of Diseases Hypoxia-Ischemia, Brain Infant, Newborn Treatment Outcome Magnetic Resonance Imaging Probability
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Prediction of cognitive impairment via deep learning trained with multi-center neuropsychological test data.

BMC medical informatics and decision making Nov 21, 2019
BACKGROUND: Neuropsychological tests (NPTs) are important tools for informing diagnoses of cognitive impairment (CI). However, interpreting NPTs requires specialists and is thus time-consuming. To streamline the application of NPTs in clinical settin...
Humans Deep Learning Datasets as Topic Neural Networks, Computer Cognitive Dysfunction Neuropsychological Tests Machine Learning Age Factors Algorithms Alzheimer Disease Sensitivity and Specificity
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Non-Invasive Estimation of Hemoglobin Using a Multi-Model Stacking Regressor.

IEEE journal of biomedical and health informatics Nov 20, 2019
OBJECTIVE: We describe a novel machine-learning based method to estimate total Hemoglobin (Hb) using photoplethysmograms (PPGs) acquired non-invasively.
Humans Photoplethysmography Machine Learning Equipment Design Algorithms Signal Processing, Computer-Assisted Pregnancy Hemoglobins Female Adult Young Adult Middle Aged Adolescent India
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Celiac disease diagnosis from videocapsule endoscopy images with residual learning and deep feature extraction.

Computer methods and programs in biomedicine Nov 20, 2019
BACKGROUND AND OBJECTIVE: Videocapsule endoscopy (VCE) is a relatively new technique for evaluating the presence of villous atrophy in celiac disease patients. The diagnostic analysis of video frames is currently time-consuming and tedious. Recently,...
Capsule Endoscopy Celiac Disease Video Recording Image Interpretation, Computer-Assisted Linear Models Calibration Intestinal Mucosa Discriminant Analysis Light Algorithms Reproducibility of Results Endoscopy Sensitivity and Specificity Diagnosis, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Support Vector Machine Humans Machine Learning
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Comparison of morphometric parameters in prediction of hydrocephalus using random forests.

Computers in biology and medicine Nov 20, 2019
Ventricles of the human brain enlarge with aging, neurodegenerative diseases, intrinsic, and extrinsic pathologies. The morphometric examination of neuroimages is an effective approach to assess structural changes occurring due to diseases such as hy...
Decision Trees Young Adult Adult Hydrocephalus Male Image Interpretation, Computer-Assisted Humans Brain Adolescent Middle Aged Cerebral Ventricles Machine Learning Female Algorithms Child, Preschool Aged Child Aged, 80 and over Magnetic Resonance Imaging
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Comparing convolutional neural networks and preprocessing techniques for HEp-2 cell classification in immunofluorescence images.

Computers in biology and medicine Nov 20, 2019
Autoimmune diseases are the third highest cause of mortality in the world, and the identification of an anti-nuclear antibody via an immunofluorescence test for HEp-2 cells is a standard procedure to support diagnosis. In this work, we assess the per...
Humans Neural Networks, Computer Fluorescent Antibody Technique Algorithms Cellular Structures Cell Line, Tumor Image Processing, Computer-Assisted Cytological Techniques
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A fuzzy clustering based color-coded diagram for effective illustration of blood perfusion parameters in contrast-enhanced ultrasound videos.

Computer methods and programs in biomedicine Nov 19, 2019
BACKGROUND AND OBJECTIVE: Early identification and diagnosis of tumors are of great significance to improve the survival rate of patients. Amongst other techniques, contrast-enhanced ultrasound is an important means to help doctors diagnose tumors. D...
Contrast Media Fuzzy Logic Cluster Analysis Color Perfusion Image Interpretation, Computer-Assisted Humans Algorithms Neoplasms Ultrasonography
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