Ophthalmology

Effects of spatial fMRI resolution on the classification of naturalistic movies.

Studies involving multivariate pattern analysis (MVPA) of BOLD fMRI data generally attribute the success of the information-theoretic approach to BOLD signal contrast on the fine spatial scale of millimeters facilitating the classification or decoding of perceptual stimuli. However, to date MVPA studies that have actually explored fMRI resolutions at less than 2 mm voxel size are rare and limited ...

Non-proliferative diabetic retinopathy symptoms detection and classification using neural network.

Diabetic retinopathy (DR) causes blindness in the working age for people with diabetes in most countries. The increasing number of people with diabetes worldwide suggests that DR will continue to be major contributors to vision loss. Early detection of retinopathy progress in individuals with diabetes is critical for preventing visual loss. Non-proliferative DR (NPDR) is an early stage of DR. More...

Association Between Optic Nerve Head Blood Flow Measured Using Laser Speckle Flowgraphy and Radial Arterial Pressure During Aortic Arch Surgery.

OBJECTIVE: This study was designed to investigate the association between ocular blood flow measured using laser speckle flowgraphy (LSFG) and radial ...

Identification of non-activated lymphocytes using three-dimensional refractive index tomography and machine learning.

Identification of lymphocyte cell types are crucial for understanding their pathophysiological roles in human diseases. Current methods for discrimina...

A computationally efficient method for hand-eye calibration.

PURPOSE: Surgical robots with cooperative control and semiautonomous features have shown increasing clinical potential, particularly for repetitive ta...

Optic flow-based collision-free strategies: From insects to robots.

Flying insects are able to fly smartly in an unpredictable environment. It has been found that flying insects have smart neurons inside their tiny bra...

Automated Classification and Removal of EEG Artifacts With SVM and Wavelet-ICA.

Brain electrical activity recordings by electroencephalography (EEG) are often contaminated with signal artifacts. Procedures for automated removal of...

The Arm Movement Detection (AMD) test: a fast robotic test of proprioceptive acuity in the arm.

BACKGROUND: We examined the validity and reliability of a short robotic test of upper limb proprioception, the Arm Movement Detection (AMD) test, whic...

Machine learning techniques for diabetic macular edema (DME) classification on SD-OCT images.

BACKGROUND: Spectral domain optical coherence tomography (OCT) (SD-OCT) is most widely imaging equipment used in ophthalmology to detect diabetic macu...

Evaluating the impact of vitreomacular adhesion on anti-VEGF therapy for retinal vein occlusion using machine learning.

Vitreomacular adhesion (VMA) represents a prognostic biomarker in the management of exudative macular disease using anti-vascular endothelial growth f...

Multi-level deep supervised networks for retinal vessel segmentation.

PURPOSE: Changes in the appearance of retinal blood vessels are an important indicator for various ophthalmologic and cardiovascular diseases, includi...

Machine Learning to Analyze the Prognostic Value of Current Imaging Biomarkers in Neovascular Age-Related Macular Degeneration.

PURPOSE: To evaluate the potential of machine learning to predict best-corrected visual acuity (BCVA) outcomes from structural and functional assessme...

Development of machine learning models for diagnosis of glaucoma.

The study aimed to develop machine learning models that have strong prediction power and interpretability for diagnosis of glaucoma based on retinal n...

Investigations of severity level measurements for diabetic macular oedema using machine learning algorithms.

BACKGROUND: The macula is an important part of the human visual system and is responsible for clear and colour vision. Macular oedema happens when flu...

A machine-learning graph-based approach for 3D segmentation of Bruch's membrane opening from glaucomatous SD-OCT volumes.

Bruch's membrane opening-minimum rim width (BMO-MRW) is a recently proposed structural parameter which estimates the remaining nerve fiber bundles in ...

Modeling and evaluation of hand-eye coordination of surgical robotic system on task performance.

BACKGROUND: Robotic-assisted minimally invasive surgery changes the direct hand and eye coordination in traditional surgery to indirect instrument and...

Social skills training for children with autism spectrum disorder using a robotic behavioral intervention system.

We designed a robot system that assisted in behavioral intervention programs of children with autism spectrum disorder (ASD). The eight-session interv...

Deep image mining for diabetic retinopathy screening.

Deep learning is quickly becoming the leading methodology for medical image analysis. Given a large medical archive, where each image is associated wi...

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

BACKGROUND: Reliable detection of central fixation and eye alignment is essential in the diagnosis of amblyopia ("lazy eye"), which can lead to blindn...

Supervised learning and dimension reduction techniques for quantification of retinal fluid in optical coherence tomography images.

PurposeThe purpose of the present study is to develop fast automated quantification of retinal fluid in optical coherence tomography (OCT) image sets....