AIMC Topic: Reproducibility of Results

Clear Filters Showing 4331 to 4340 of 5908 articles

On the reproducibility of expert-operated and robotic ultrasound acquisitions.

International journal of computer assisted radiology and surgery
PURPOSE: We present the evaluation of the reproducibility of measurements performed using robotic ultrasound imaging in comparison with expert-operated sonography. Robotic imaging for interventional procedures may be a valuable contribution, but requ...

Vector-model-supported approach in prostate plan optimization.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists
Lengthy time consumed in traditional manual plan optimization can limit the use of step-and-shoot intensity-modulated radiotherapy/volumetric-modulated radiotherapy (S&S IMRT/VMAT). A vector model base, retrieving similar radiotherapy cases, was deve...

Vector-model-supported optimization in volumetric-modulated arc stereotactic radiotherapy planning for brain metastasis.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists
Long planning time in volumetric-modulated arc stereotactic radiotherapy (VMA-SRT) cases can limit its clinical efficiency and use. A vector model could retrieve previously successful radiotherapy cases that share various common anatomic features wit...

Goal-recognition-based adaptive brain-computer interface for navigating immersive robotic systems.

Journal of neural engineering
OBJECTIVE: This work proposes principled strategies for self-adaptations in EEG-based Brain-computer interfaces (BCIs) as a way out of the bandwidth bottleneck resulting from the considerable mismatch between the low-bandwidth interface and the bandw...

Prediction of virus-host infectious association by supervised learning methods.

BMC bioinformatics
BACKGROUND: The study of virus-host infectious association is important for understanding the functions and dynamics of microbial communities. Both cellular and fractionated viral metagenomic data generate a large number of viral contigs with missing...

Regularized Speaker Adaptation of KL-HMM for Dysarthric Speech Recognition.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
This paper addresses the problem of recognizing the speech uttered by patients with dysarthria, which is a motor speech disorder impeding the physical production of speech. Patients with dysarthria have articulatory limitation, and therefore, they of...

Improving zero-training brain-computer interfaces by mixing model estimators.

Journal of neural engineering
OBJECTIVE: Brain-computer interfaces (BCI) based on event-related potentials (ERP) incorporate a decoder to classify recorded brain signals and subsequently select a control signal that drives a computer application. Standard supervised BCI decoders ...

Artificial Neural Network System to Predict the Postoperative Outcome of Percutaneous Nephrolithotomy.

Journal of endourology
PURPOSE: To construct, train, and apply an artificial neural network (ANN) system for prediction of different outcome variables of percutaneous nephrolithotomy (PCNL). We calculated predictive accuracy, sensitivity, and precision for each outcome var...

Reproducibility of computational workflows is automated using continuous analysis.

Nature biotechnology
Replication, validation and extension of experiments are crucial for scientific progress. Computational experiments are scriptable and should be easy to reproduce. However, computational analyses are designed and run in a specific computing environme...