AIMC Topic: Reproducibility of Results

Clear Filters Showing 4311 to 4320 of 5908 articles

3D deeply supervised network for automated segmentation of volumetric medical images.

Medical image analysis
While deep convolutional neural networks (CNNs) have achieved remarkable success in 2D medical image segmentation, it is still a difficult task for CNNs to segment important organs or structures from 3D medical images owing to several mutually affect...

A preliminary investigation into the design of pressure cushions and their potential applications for forearm robotic orthoses.

Biomedical engineering online
BACKGROUND: Load cells are often used in rehabilitation robotics to monitor human-robot interaction. While load cells are accurate and suitable for the stationary end-point robots used in rehabilitation hospitals, their cost and inability to conform ...

Semi-automated brain tumor segmentation on multi-parametric MRI using regularized non-negative matrix factorization.

BMC medical imaging
BACKGROUND: Segmentation of gliomas in multi-parametric (MP-)MR images is challenging due to their heterogeneous nature in terms of size, appearance and location. Manual tumor segmentation is a time-consuming task and clinical practice would benefit ...

Provider-specific quality measurement for ERCP using natural language processing.

Gastrointestinal endoscopy
BACKGROUND AND AIMS: Natural language processing (NLP) is an information retrieval technique that has been shown to accurately identify quality measures for colonoscopy. There are no systematic methods by which to track adherence to quality measures ...

Design and Characterization of a Quasi-Passive Pneumatic Foot-Ankle Prosthesis.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
The majority of commercially available passive prosthetic feet are not capable of providing joint mechanics that match that of the intact human ankle. Due to their cantilever design, their stiffness characteristics contrast with what has been observe...

Inter-labeler and intra-labeler variability of condition severity classification models using active and passive learning methods.

Artificial intelligence in medicine
BACKGROUND AND OBJECTIVES: Labeling instances by domain experts for classification is often time consuming and expensive. To reduce such labeling efforts, we had proposed the application of active learning (AL) methods, introduced our CAESAR-ALE fram...

Detecting central fixation by means of artificial neural networks in a pediatric vision screener using retinal birefringence scanning.

Biomedical engineering online
BACKGROUND: Reliable detection of central fixation and eye alignment is essential in the diagnosis of amblyopia ("lazy eye"), which can lead to blindness. Our lab has developed and reported earlier a pediatric vision screener that performs scanning o...

Automatic Assessment of a Rollator-User's Condition During Rehabilitation Using the i-Walker Platform.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Patient condition during rehabilitation has been traditionally assessed using clinical scales. These scales typically require the patient and/or the clinician to rate a number of condition-related items to obtain a final score. This is a time-consumi...

Simultaneous determination of four amides in Saururus chinensis by matrix solid phase dispersion and high-performance liquid chromatography method.

Journal of food and drug analysis
A rapid and simple analytical method was established for the determination of four amides (N-p-trans-coumaroyltyramine, aristolactam AⅡ, sauristolactam and aristolactam BⅡ) in Saururus chinensis by matrix solid phase dispersion (MSPD) and high-perfor...