AIMC Topic:
Image Interpretation, Computer-Assisted
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Artificial Intelligence-Based Assessment of Left Ventricular Filling Pressures From 2-Dimensional Cardiac Ultrasound Images.
JACC. Cardiovascular imaging
Jul 19, 2017
Deep learning poised to revolutionise diagnostic imaging.
The Lancet. Respiratory medicine
Jul 19, 2017
Automated gesture tracking in head-fixed mice.
Journal of neuroscience methods
Jul 17, 2017
BACKGROUND: The preparation consisting of a head-fixed mouse on a spherical or cylindrical treadmill offers unique advantages in a variety of experimental contexts. Head fixation provides the mechanical stability necessary for optical and electrophys...
Using machine learning and surface reconstruction to accurately differentiate different trajectories of mood and energy dysregulation in youth.
PloS one
Jul 6, 2017
Difficulty regulating positive mood and energy is a feature that cuts across different pediatric psychiatric disorders. Yet, little is known regarding the neural mechanisms underlying different developmental trajectories of positive mood and energy r...
Medical image classification via multiscale representation learning.
Artificial intelligence in medicine
Jun 29, 2017
Multiscale structure is an essential attribute of natural images. Similarly, there exist scaling phenomena in medical images, and therefore a wide range of observation scales would be useful for medical imaging measurements. The present work proposes...
Radiomic machine-learning classifiers for prognostic biomarkers of advanced nasopharyngeal carcinoma.
Cancer letters
Jun 10, 2017
We aimed to identify optimal machine-learning methods for radiomics-based prediction of local failure and distant failure in advanced nasopharyngeal carcinoma (NPC). We enrolled 110 patients with advanced NPC. A total of 970 radiomic features were ex...
Humans
Nasopharyngeal Neoplasms
Decision Support Techniques
Diagnosis, Computer-Assisted
Predictive Value of Tests
Reproducibility of Results
Image Interpretation, Computer-Assisted
ROC Curve
Area Under Curve
Linear Models
Risk Factors
Support Vector Machine
Carcinoma
Treatment Failure
Risk Assessment
Magnetic Resonance Imaging
High-Throughput Screening Assays
Nasopharyngeal Carcinoma
Knowledge-based reconstruction for measurement of right ventricular volumes on cardiovascular magnetic resonance images in a mixed population.
Congenital heart disease
Jun 5, 2017
OBJECTIVE: Follow-up of right ventricular performance is important for patients with congenital heart disease. Cardiac magnetic resonance imaging is optimal for this purpose. However, observer-dependency of manual analysis of right ventricular volume...
Automated histological classification of whole-slide images of gastric biopsy specimens.
Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association
Jun 2, 2017
BACKGROUND: Automated image analysis has been developed currently in the field of surgical pathology. The aim of the present study was to evaluate the classification accuracy of the e-Pathologist image analysis software.
Medical image classification based on multi-scale non-negative sparse coding.
Artificial intelligence in medicine
May 27, 2017
With the rapid development of modern medical imaging technology, medical image classification has become more and more important in medical diagnosis and clinical practice. Conventional medical image classification algorithms usually neglect the sema...
Direct Multitype Cardiac Indices Estimation via Joint Representation and Regression Learning.
IEEE transactions on medical imaging
May 26, 2017
Cardiac indices estimation is of great importance during identification and diagnosis of cardiac disease in clinical routine. However, estimation of multitype cardiac indices with consistently reliable and high accuracy is still a great challenge due...
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