AI Medical Compendium Journal:
Biomedical physics & engineering express

Showing 91 to 100 of 143 articles

EEG motor imagery classification using deep learning approaches in naïve BCI users.

Biomedical physics & engineering express
Motor Imagery (MI)-Brain Computer-Interfaces (BCI) illiteracy defines that not all subjects can achieve a good performance in MI-BCI systems due to different factors related to the fatigue, substance consumption, concentration, and experience in the ...

Deep learning-based protoacoustic signal denoising for proton range verification.

Biomedical physics & engineering express
Proton therapy is a type of radiation therapy that can provide better dose distribution compared to photon therapy by delivering most of the energy at the end of range, which is called the Bragg peak (BP). The protoacoustic technique was developed to...

Prototype development of bilateral arm mirror-like-robotic rehabilitation device for acute stroke patients.

Biomedical physics & engineering express
During the early six months after the onset of a stroke, patients usually remain disabled with limbs weakness and need intensive rehabilitation. An increased number of stroke patients is countered with a reduced number of physical therapists. The dev...

The effect of variable labels on deep learning models trained to predict breast density.

Biomedical physics & engineering express
. High breast density is associated with reduced efficacy of mammographic screening and increased risk of developing breast cancer. Accurate and reliable automated density estimates can be used for direct risk prediction and passing density related i...

Investigation of radiomics and deep convolutional neural networks approaches for glioma grading.

Biomedical physics & engineering express
To determine glioma grading by applying radiomic analysis or deep convolutional neural networks (DCNN) and to benchmark both approaches on broader validation sets.Seven public datasets were considered: (1) low-grade glioma or high-grade glioma (369 p...

Deep learning for automatic mandible segmentation on dental panoramic x-ray images.

Biomedical physics & engineering express
Many studies in the last decades have correlated mandible bone structure with systemic diseases like osteoporosis. Mandible segmentation, as well as segmentation of other oral structures, is an essential step in studies that correlate oral structures...

Evaluation of deep learning based implanted fiducial markers tracking in pancreatic cancer patients.

Biomedical physics & engineering express
Real-time target position verification during pancreas stereotactic body radiation therapy (SBRT) is important for the detection of unplanned tumour motions. Fast and accurate fiducial marker segmentation is a Requirement of real-time marker-based ve...

Neural stochastic differential equations network as uncertainty quantification method for EEG source localization.

Biomedical physics & engineering express
EEG source localization remains a challenging problem given the uncertain conductivity values of the volume conductor models (VCMs). As uncertain conductivities vary across people, they may considerably impact the forward and inverse solutions of the...

X-ray energy spectrum estimation based on a virtual computed tomography system.

Biomedical physics & engineering express
This paper presents a method for estimating the x-ray energy spectrum for computed tomography (CT) in the diagnostic energy range from the reconstructed CT image itself. To this end, a virtual CT system was developed, and datasets, including CT image...

A novel ANN adaptive Riemannian-based kernel classification for motor imagery.

Biomedical physics & engineering express
More recently, a number of studies show the interest of the use of the Riemannian geometry in EEG classification. The idea is to exploit the EEG covariance matrices, instead of the raw EEG data, and use the Riemannian geometry to directly classify th...