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EAC-Net: Deep Nets with Enhancing and Cropping for Facial Action Unit Detection.
IEEE transactions on pattern analysis and machine intelligence
Jan 10, 2018
In this paper, we propose a deep learning based approach for facial action unit (AU) detection by enhancing and cropping regions of interest of face images. The approach is implemented by adding two novel nets (a.k.a. layers): the enhancing layers an...
Use of multimodality imaging and artificial intelligence for diagnosis and prognosis of early stages of Alzheimer's disease.
Translational research : the journal of laboratory and clinical medicine
Jan 10, 2018
Alzheimer's disease (AD) is a major neurodegenerative disease and the most common cause of dementia. Currently, no treatment exists to slow down or stop the progression of AD. There is converging belief that disease-modifying treatments should focus ...
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Supervised Machine Learning for Population Genetics: A New Paradigm.
Trends in genetics : TIG
Jan 10, 2018
As population genomic datasets grow in size, researchers are faced with the daunting task of making sense of a flood of information. To keep pace with this explosion of data, computational methodologies for population genetic inference are rapidly be...
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Operator dynamics for stability condition in haptic and teleoperation system: A survey.
The international journal of medical robotics + computer assisted surgery : MRCAS
Jan 10, 2018
BACKGROUND: Currently, haptic systems ignore the varying impedance of the human hand with its countless configurations and thus cannot recreate the complex haptic interactions. The literature does not reveal a comprehensive survey on the methods prop...
Using optical tracking for kinematic testing of medical robots.
The international journal of medical robotics + computer assisted surgery : MRCAS
Jan 10, 2018
BACKGROUND: In image-guided robotic interventions, an error component is related to the positioning error of the manipulator. Therefore, measuring the kinematic error is required during robot development. However, no specialized measurement device ex...
A border-ownership model based on computational electromagnetism.
Neural networks : the official journal of the International Neural Network Society
Jan 10, 2018
The mathematical relation between a vector electric field and its corresponding scalar potential field is useful to formulate computational problems of lower/middle-order visual processing, specifically related to the assignment of borders to the sid...
Construction of mammographic examination process ontology using bottom-up hierarchical task analysis.
Radiological physics and technology
Jan 10, 2018
Describing complex mammography examination processes is important for improving the quality of mammograms. It is often difficult for experienced radiologic technologists to explain the process because their techniques depend on their experience and i...
Classification of breast cancer in ultrasound imaging using a generic deep learning analysis software: a pilot study.
The British journal of radiology
Jan 10, 2018
OBJECTIVE: To train a generic deep learning software (DLS) to classify breast cancer on ultrasound images and to compare its performance to human readers with variable breast imaging experience.
Multi-label Deep Learning for Gene Function Annotation in Cancer Pathways.
Scientific reports
Jan 10, 2018
The war on cancer is progressing globally but slowly as researchers around the world continue to seek and discover more innovative and effective ways of curing this catastrophic disease. Organizing biological information, representing it, and making ...
Revealing Alzheimer's disease genes spectrum in the whole-genome by machine learning.
BMC neurology
Jan 10, 2018
BACKGROUND: Alzheimer's disease (AD) is an important, progressive neurodegenerative disease, with a complex genetic architecture. A key goal of biomedical research is to seek out disease risk genes, and to elucidate the function of these risk genes i...
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