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Ophthalmology Subcategories: Glaucoma Ophthalmology Refractive Surgery

Showing 589-609 of 5,738 articles

The effect of a post-scan processing denoising system on image quality and morphometric analysis.

PURPOSE: MR image quality and subsequent brain morphometric analysis are inevitably affected by nois...

Dec 2021 PMID: 34863809

Emergence of flexible technology in developing advanced systems for post-stroke rehabilitation: a comprehensive review.

Stroke is one of the most common neural disorders, which causes physical disabilities and motor impa...

Dec 2021 PMID: 34736239

Does prior transurethral resection of prostate affect the functional and oncological outcomes of robot-assisted radical prostatectomy? A matched-pair analysis.

Robot-assisted radical prostatectomy (RARP) is challenging in men with prior history of transurethra...

Nov 2021 PMID: 34839463

DNA methylation-based classification of malformations of cortical development in the human brain.

Malformations of cortical development (MCD) comprise a broad spectrum of structural brain lesions fr...

Nov 2021 PMID: 34797422

Post-script-Retail forecasting: Research and practice.

This note updates the 2019 review article "Retail forecasting: Research and practice" in the context...

Nov 2021 PMID: 36217499

The shallow of your smile: the ethics of expressive vocal deep-fakes.

Rapid technological advances in artificial intelligence are creating opportunities for real-time alg...

Nov 2021 PMID: 34775820

Postsurgery Classification of Best-Corrected Visual Acuity Changes Based on Pterygium Characteristics Using the Machine Learning Technique.

INTRODUCTION: Early detection of visual symptoms in pterygium patients is crucial as the progression...

Nov 2021 PMID: 34819813

Annual nationwide analysis of costs and post-operative outcomes after radical prostatectomy according to the surgical approach (open, laparoscopic, and robotic).

OBJECTIVE: Annual countrywide data are scarce when comparing surgical approaches in terms of hospita...

Nov 2021 PMID: 34773475

A Bidirectional Interpolation Method for Post-Processing in Sampling-Based Robot Path Planning.

This paper proposes a post-processing method called bidirectional interpolation method for sampling-...

Nov 2021 PMID: 34770732

Autonomous Thermal Vision Robotic System for Victims Recognition in Search and Rescue Missions.

Technological breakthroughs in recent years have led to a revolution in fields such as Machine Visio...

Nov 2021 PMID: 34770654

Robotic repair of post-oesophagectomy hiatal hernia.

Diaphragmatic hiatal hernia is a potential complication of oesophagectomy in cancer patients. Over t...

Nov 2021 PMID: 34730425

Prediction of corneal back surface power - Deep learning algorithm versus multivariate regression.

BACKGROUND: The corneal back surface is known to add some against the rule astigmatism, with implica...

Nov 2021 PMID: 34726283

Deep learning identified pathological abnormalities predictive of graft loss in kidney transplant biopsies.

Interstitial fibrosis, tubular atrophy, and inflammation are major contributors to kidney allograft ...

Oct 2021 PMID: 34757124

Robot-assisted stereoelectroencephalography in young children: technical challenges and considerations.

Robot-assisted stereoelectroencephalography (sEEG) is frequently employed to localize epileptogenic ...

Oct 2021 PMID: 34716458

Deep learning-based thin-section MRI reconstruction improves tumour detection and delineation in pre- and post-treatment pituitary adenoma.

Even a tiny functioning pituitary adenoma could cause symptoms; hence, accurate diagnosis and treatm...

Oct 2021 PMID: 34716372

Quantifying the Impacts of Pre- and Post-Conception TSH Levels on Birth Outcomes: An Examination of Different Machine Learning Models.

BACKGROUND: While previous studies identified risk factors for diverse pregnancy outcomes, tradition...

Oct 2021 PMID: 34777251

Automated post-operative brain tumour segmentation: A deep learning model based on transfer learning from pre-operative images.

Automated brain tumour segmentation from post-operative images is a clinically relevant yet challeng...

Oct 2021 PMID: 34715290

Post-reconstruction attenuation correction for SPECT myocardium perfusion imaging facilitated by deep learning-based attenuation map generation.

BACKGROUND: Attenuation correction can improve the quantitative accuracy of single-photon emission c...

Oct 2021 PMID: 34671940

Ophthalmology

Browse Specialties

The effect of a post-scan processing denoising system on image quality and morphometric analysis.

Emergence of flexible technology in developing advanced systems for post-stroke rehabilitation: a comprehensive review.

Does prior transurethral resection of prostate affect the functional and oncological outcomes of robot-assisted radical prostatectomy? A matched-pair analysis.

DNA methylation-based classification of malformations of cortical development in the human brain.

Post-script-Retail forecasting: Research and practice.

The shallow of your smile: the ethics of expressive vocal deep-fakes.

Postsurgery Classification of Best-Corrected Visual Acuity Changes Based on Pterygium Characteristics Using the Machine Learning Technique.

Annual nationwide analysis of costs and post-operative outcomes after radical prostatectomy according to the surgical approach (open, laparoscopic, and robotic).

A Bidirectional Interpolation Method for Post-Processing in Sampling-Based Robot Path Planning.

Autonomous Thermal Vision Robotic System for Victims Recognition in Search and Rescue Missions.

Robotic repair of post-oesophagectomy hiatal hernia.

Prediction of corneal back surface power - Deep learning algorithm versus multivariate regression.

Deep learning identified pathological abnormalities predictive of graft loss in kidney transplant biopsies.

Robot-assisted stereoelectroencephalography in young children: technical challenges and considerations.

Deep learning-based thin-section MRI reconstruction improves tumour detection and delineation in pre- and post-treatment pituitary adenoma.

Quantifying the Impacts of Pre- and Post-Conception TSH Levels on Birth Outcomes: An Examination of Different Machine Learning Models.

Automated post-operative brain tumour segmentation: A deep learning model based on transfer learning from pre-operative images.

Sensor-based particle mass prediction of lightweight packaging waste using machine learning algorithms.

Deceptive Online Content Detection Using Only Message Characteristics and a Machine Learning Trained Expert System.

Development of deep learning-based detecting systems for pathologic myopia using retinal fundus images.

Post-reconstruction attenuation correction for SPECT myocardium perfusion imaging facilitated by deep learning-based attenuation map generation.

Browse Specialties