Decision making involves dynamic interplay between internal judgements and external perception, which has been investigated in delayed match-to-category (DMC) experiments. Our analysis of neural recordings shows that, during DMC tasks, LIP and PFC ne...
Single centered crossover, two cycles volunteer study was performed on 12 healthy male volunteers. Both reference and test, immediate release nimesulide formulation was given in a randomized manner with a washout period of 15 days and 5 mL of blood s...
The Journal of the Acoustical Society of America
Mar 1, 2017
Machine-learning based approaches to speech enhancement have recently shown great promise for improving speech intelligibility for hearing-impaired listeners. Here, the performance of three machine-learning algorithms and one classical algorithm, Wie...
We present an approach for automatic diagnosis of tissue biopsies. Our methodology consists of a quantitative phase imaging tissue scanner and machine learning algorithms to process these data. We illustrate the performance by automatic Gleason gradi...
INTRODUCTION: The evidence underlying robotic body weight supported treadmill training in patients with spinal cord injury remains poorly characterized.
PURPOSE: Extracting the high-level feature representation by using deep neural networks for detection of prostate cancer, and then based on high-level feature representation constructing hierarchical classification to refine the detection results.
International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation
Mar 1, 2017
The aim of this study was to explore the application of the IROMEC (Interactive social RObotic Mediators as Companions) robot to support play for children with severe physical disabilities in rehabilitation and special education. Within a 2-month pil...
BACKGROUND: Multimorbidity affects the majority of elderly adults and is associated with higher health costs and utilization, but how specific patterns of morbidity influence resource use is less understood.
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