AIMC Topic: Algorithms

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Inferring locomotor behaviours in Miocene New World monkeys using finite element analysis, geometric morphometrics and machine-learning classification techniques applied to talar morphology.

Journal of the Royal Society, Interface Sep 26, 2018
The talus is one of the most commonly preserved post-cranial elements in the platyrrhine fossil record. Talar morphology can provide information about postural adaptations because it is the anatomical structure responsible for transmitting body mass ...
Biological Evolution Fossils Platyrrhini Talus Skull Finite Element Analysis Mathematics Models, Anatomic Animals Phylogeny Locomotion Machine Learning Algorithms Biomechanical Phenomena
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Aiding the Digital Mammogram for Detecting the Breast Cancer Using Shearlet Transform and Neural Network.

Asian Pacific journal of cancer prevention : APJCP Sep 26, 2018
Objective: Breast Cancer is the most invasive disease and fatal disease next to lung cancer in human. Early detection of breast cancer is accomplished by X-ray mammography. Mammography is the most effective and efficient technique used for detection ...
Breast Neoplasms Diagnosis, Computer-Assisted Mammography Image Interpretation, Computer-Assisted Databases, Factual Female Diagnostic Errors Image Enhancement Wavelet Analysis Humans Neural Networks, Computer Algorithms
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Low-Rank Representation for Multi-center Autism Spectrum Disorder Identification.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Sep 26, 2018
Effective utilization of multi-center data for autism spectrum disorder (ASD) diagnosis recently has attracted increasing attention, since a large number of subjects from multiple centers are beneficial for investigating the pathological changes of A...
Databases, Factual Humans Autism Spectrum Disorder Machine Learning Algorithms Reproducibility of Results Sensitivity and Specificity
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Multi-task SonoEyeNet: Detection of Fetal Standardized Planes Assisted by Generated Sonographer Attention Maps.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Sep 26, 2018
We present a novel multi-task convolutional neural network called Multi-task SonoEyeNet () that learns to generate clinically relevant visual attention maps using sonographer gaze tracking data on input ultrasound (US) video frames so as to assist st...
Neural Networks, Computer Fetus Algorithms Eye Movements Humans Reproducibility of Results Sensitivity and Specificity Image Processing, Computer-Assisted Attention
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Automatic Lacunae Localization in Placental Ultrasound Images via Layer Aggregation.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Sep 26, 2018
Accurate localization of structural abnormalities is a precursor for image-based prenatal assessment of adverse conditions. For clinical screening and diagnosis of abnormally invasive placenta (AIP), a life-threatening obstetric condition, qualitativ...
Humans Ultrasonography Placenta Machine Learning Pregnancy Algorithms Pattern Recognition, Automated Female Reproducibility of Results Sensitivity and Specificity
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Adversarial Similarity Network for Evaluating Image Alignment in Deep Learning based Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Sep 26, 2018
This paper introduces an unsupervised adversarial similarity network for image registration. Unlike existing deep learning registration frameworks, our approach does not require ground-truth deformations and specific similarity metrics. We connect a ...
Brain Reproducibility of Results Sensitivity and Specificity Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Machine Learning Algorithms
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Artificial Intelligence Applied to Osteoporosis: A Performance Comparison of Machine Learning Algorithms in Predicting Fragility Fractures From MRI Data.

Journal of magnetic resonance imaging : JMRI Sep 25, 2018
BACKGROUND: A current challenge in osteoporosis is identifying patients at risk of bone fracture.
Machine Learning Algorithms Prospective Studies Osteoporosis Humans Image Processing, Computer-Assisted Body Mass Index Magnetic Resonance Imaging Linear Models Cross-Sectional Studies Osteoporotic Fractures Female Middle Aged Reproducibility of Results Case-Control Studies Aged ROC Curve
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Development and Validation of Deep Learning-based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs.

Radiology Sep 25, 2018
Purpose To develop and validate a deep learning-based automatic detection algorithm (DLAD) for malignant pulmonary nodules on chest radiographs and to compare its performance with physicians including thoracic radiologists. Materials and Methods For ...
Aged Aged, 80 and over Young Adult Adult Retrospective Studies Female Reproducibility of Results Lung Neoplasms Multiple Pulmonary Nodules Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Male Middle Aged Deep Learning Adolescent Humans Algorithms
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Predicting of anaphylaxis in big data EMR by exploring machine learning approaches.

Journal of biomedical informatics Sep 25, 2018
Anaphylaxis is a life-threatening allergic reaction that occurs suddenly after contact with an allergen. Epidemiological studies about anaphylaxis are very important in planning and evaluating new strategies that prevent this reaction, but also in pr...
Humans Decision Making Electronic Health Records Regression Analysis Language Anaphylaxis Medical Informatics Big Data Linear Models Cluster Analysis Neural Networks, Computer Machine Learning Algorithms
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Learning zero-cost portfolio selection with pattern matching.

PloS one Sep 25, 2018
We replicate and extend the adversarial expert based learning approach of Györfi et al to the situation of zero-cost portfolio selection implemented with a quadratic approximation derived from the mutual fund separation theorems. The algorithm is app...
Machine Learning Algorithms Models, Economic Cluster Analysis New York City South Africa
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