Ophthalmology

Clinical, molecular, and genetic evaluation of galactosemia in Turkish children.

AIM: Galactosemia is a carbohydrate metabolism disorder with autosomal recessive inheritance. The most frequent enzyme deficiency is galactose-1-phosphate-uridylytransferase, which causes classic galactosemia. When the enzyme is absent, an infant cannot metabolize galactose-1-phosphate and it cumulates in liver, kidney, brain, tongue, lens, and skin. This study aimed to evaluate the clinical and m...

Utilization of a 3D printer to fabricate boluses used for electron therapy of skin lesions of the eye canthi.

This work describes the use of 3D printing technology to create individualized boluses for patients treated with electron beam therapy for skin lesions of the eye canthi. It aimed to demonstrate the effectiveness of 3D-printed over manually fabricated paraffin boluses. The study involved 11 patients for whom the construction of individual boluses were required. CT scans of the fabricated 3D-printe...

Controlled surface morphology and hydrophilicity of polycaprolactone toward human retinal pigment epithelium cells.

Applying scaffolds as a bed to enhance cell proliferation and even differentiation is one of the treatment of retina diseases such as age-related macu...

A case of rapid amelioration of hepatitis C virus-associated cryoglobulinemic membranoproliferative glomerulonephritis treated by interferon-free directly acting antivirals for HCV in the absence of immunosuppressant.

Mixed cryoglobulinemic syndrome, which is a systemic vasculitis characterized by the immune complex deposition in small- and medium-sized arteries and...

Corneal power evaluation after myopic corneal refractive surgery using artificial neural networks.

BACKGROUND: Efficacy and high availability of surgery techniques for refractive defect correction increase the number of patients who undergo to this ...

Growth of Uveal Melanoma following Intravitreal Bevacizumab.

PURPOSE: Typically treatment of large melanomas (by Collaborative Ocular Melanoma Study criteria) is restricted to enucleation, due to size constraint...

Machine Learning Based Single-Frame Super-Resolution Processing for Lensless Blood Cell Counting.

A lensless blood cell counting system integrating microfluidic channel and a complementary metal oxide semiconductor (CMOS) image sensor is a promisin...

Transient Anisocoria during Medial Blowout Fracture Surgery.

Transient anisocoria is rare during blowout fracture reconstruction. We report a case of transient anisocoria occurring during medial blowout fracture...

Multimodal Learning and Intelligent Prediction of Symptom Development in Individual Parkinson's Patients.

We still do not know how the brain and its computations are affected by nerve cell deaths and their compensatory learning processes, as these develop ...

Riemannian Dictionary Learning and Sparse Coding for Positive Definite Matrices.

Data encoded as symmetric positive definite (SPD) matrices frequently arise in many areas of computer vision and machine learning. While these matrice...

Believing androids - fMRI activation in the right temporo-parietal junction is modulated by ascribing intentions to non-human agents.

Attributing mind to interaction partners has been shown to increase the social relevance we ascribe to others' actions and to modulate the amount of a...

Glaucoma detection using entropy sampling and ensemble learning for automatic optic cup and disc segmentation.

We present a novel method to segment retinal images using ensemble learning based convolutional neural network (CNN) architectures. An entropy samplin...

Ensemble based adaptive over-sampling method for imbalanced data learning in computer aided detection of microaneurysm.

Diabetic retinopathy (DR) is a progressive disease, and its detection at an early stage is crucial for saving a patient's vision. An automated screeni...

Audiovisual integration in hemianopia: A neurocomputational account based on cortico-collicular interaction.

Hemianopic patients retain some abilities to integrate audiovisual stimuli in the blind hemifield, showing both modulation of visual perception by aud...

Classification Preictal and Interictal Stages via Integrating Interchannel and Time-Domain Analysis of EEG Features.

The life quality of patients with refractory epilepsy is extremely affected by abrupt and unpredictable seizures. A reliable method for predicting sei...

Automated analysis of retinal imaging using machine learning techniques for computer vision.

There are almost two million people in the United Kingdom living with sight loss, including around 360,000 people who are registered as blind or parti...

Machine Learning Techniques in Clinical Vision Sciences.

This review presents and discusses the contribution of machine learning techniques for diagnosis and disease monitoring in the context of clinical vis...

Task-specific ankle robotics gait training after stroke: a randomized pilot study.

BACKGROUND: An unsettled question in the use of robotics for post-stroke gait rehabilitation is whether task-specific locomotor training is more effec...

Retinal vessel segmentation in colour fundus images using Extreme Learning Machine.

Attributes of the retinal vessel play important role in systemic conditions and ophthalmic diagnosis. In this paper, a supervised method based on Extr...

A neural model of the frontal eye fields with reward-based learning.

Decision-making is a flexible process dependent on the accumulation of various kinds of information; however, the corresponding neural mechanisms are ...