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Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MR.

Scientific reports
Multiparametric Magnetic Resonance Imaging (MRI) can provide detailed information of the physical characteristics of rectum tumours. Several investigations suggest that volumetric analyses on anatomical and functional MRI contain clinically valuable ...

Treadmill vs. overground walking: different response to physical interaction.

Journal of neurophysiology
Rehabilitation of human motor function is an issue of growing significance, and human-interactive robots offer promising potential to meet the need. For the lower extremity, however, robot-aided therapy has proven challenging. To inform effective app...

Unsupervised Extraction of Stable Expression Signatures from Public Compendia with an Ensemble of Neural Networks.

Cell systems
Cross-experiment comparisons in public data compendia are challenged by unmatched conditions and technical noise. The ADAGE method, which performs unsupervised integration with denoising autoencoder neural networks, can identify biological patterns, ...

The behavioral and neural basis of empathic blame.

Scientific reports
Mature moral judgments rely both on a perpetrator's intent to cause harm, and also on the actual harm caused-even when unintended. Much prior research asks how intent information is represented neurally, but little asks how even unintended harms infl...

Continuous sweep versus discrete step protocols for studying effects of wearable robot assistance magnitude.

Journal of neuroengineering and rehabilitation
BACKGROUND: Different groups developed wearable robots for walking assistance, but there is still a need for methods to quickly tune actuation parameters for each robot and population or sometimes even for individual users. Protocols where parameters...
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Knowledge mapping visualization analysis of the military health and medicine papers published in the web of science over the past 10 years.

Military Medical Research
BACKGROUND: Military medicine is a research field that seeks to solve the medical problems that occur in modern war conditions based on public medicine theory.
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Diagnosis of Dementia by Machine learning methods in Epidemiological studies: a pilot exploratory study from south India.

Social psychiatry and psychiatric epidemiology
BACKGROUND: There are limited data on the use of artificial intelligence methods for the diagnosis of dementia in epidemiological studies in low- and middle-income country (LMIC) settings. A culture and education fair battery of cognitive tests was d...

Preliminary testing by adults of a haptics-assisted robot platform designed for children with physical impairments to access play.

Assistive technology : the official journal of RESNA
Development of children's cognitive and perceptual skills depends heavily on object exploration and experience in their physical world. For children who have severe physical impairments, one of the biggest concerns is the loss of opportunities for me...

Identifying incipient dementia individuals using machine learning and amyloid imaging.

Neurobiology of aging
Identifying individuals destined to develop Alzheimer's dementia within time frames acceptable for clinical trials constitutes an important challenge to design studies to test emerging disease-modifying therapies. Although amyloid-β protein is the co...

SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound.

IEEE transactions on medical imaging
Identifying and interpreting fetal standard scan planes during 2-D ultrasound mid-pregnancy examinations are highly complex tasks, which require years of training. Apart from guiding the probe to the correct location, it can be equally difficult for ...