Wohlgemuth, Kealey J. Blue, Malia N.M Mota, Jacob A.
Published in
PeerJ
Analysis of Brightness-mode ultrasound-captured fascicle angle (FA) and fascicle length (FL) can be completed manually with computer-based programs or by automated programs. Insufficient data exists regarding reliability and accuracy of automated tools. Therefore, the purpose of this study was to determine the test-retest reliability of automatic a...
van Ulsen, Hidde (author)
Image registration is a fundamental requirement for many medical applications. In recent years, deep learning approaches for registration have shown to be a promising alternative to conventional methods. However, most learning based methods do not consider the different physical properties of various tissues, which can result in unrealistic deforma...
Heidari, Arash Jafari Navimipour, Nima Unal, Mehmet Toumaj, Shiva
Published in
Neural Computing & Applications
Recently, the COVID-19 epidemic has resulted in millions of deaths and has impacted practically every area of human life. Several machine learning (ML) approaches are employed in the medical field in many applications, including detecting and monitoring patients, notably in COVID-19 management. Different medical imaging systems, such as computed to...
Shirazi, Muhammad Faizan Andilla, Jordi Lefaudeux, Nicolas Valdes, Claudia Schwarzhans, Florian Durand, Marine Ntatsis, Konstantinos De Jesus, Danilo Andrade Sanchez Brea, Luisa Gocho, Kiyoko
...
Published in
Scientific Reports
We present a compact multi-modal and multi-scale retinal imaging instrument with an angiographic functional extension for clinical use. The system integrates scanning laser ophthalmoscopy (SLO), optical coherence tomography (OCT) and OCT angiography (OCTA) imaging modalities and provides multi-scale fields of view. For high resolution, and high lat...
Kovalyk, Oleksandr Morales-Sánchez, Juan Verdú-Monedero, Rafael Sellés-Navarro, Inmaculada Palazón-Cabanes, Ana Sancho-Gómez, José-Luis
Published in
Scientific Data
Measurement(s) Retinal fundus image • Refractive defect • Intraocular pressure • Central corneal thickness • Axial length • Visual field Technology Type(s) Non-mydriatic retinal camera • Autorefractometer/keratometer • Non-contact tonometer • Specular Microscope Pachymeter • Optical biometry • Field Analyzer/campimeter
Ali, Hazrat Biswas, Rafiul Ali, Farida Shah, Uzair Alamgir, Asma Mousa, Osama Shah, Zubair
Published in
Insights into Imaging
The performance of artificial intelligence (AI) for brain MRI can improve if enough data are made available. Generative adversarial networks (GANs) showed a lot of potential to generate synthetic MRI data that can capture the distribution of real MRI. Besides, GANs are also popular for segmentation, noise removal, and super-resolution of brain MRI ...
Mubashar, Mehreen Ali, Hazrat Gronlund, Christer Azmat, Shoaib
U-Net is a widely adopted neural network in the domain of medical image segmentation. Despite its quick embracement by the medical imaging community, its performance suffers on complicated datasets. The problem can be ascribed to its simple feature extracting blocks: encoder/decoder, and the semantic gap between encoder and decoder. Variants of U-N...
Oyarzun Laura, Cristina Wesarg, Stefan Sakas, Georgios
Published in
Methods (San Diego, Calif.)
The interest on graph matching has not stopped growing since the late seventies. The basic idea of graph matching consists of generating graph representations of different data or structures and compare those representations by searching correspondences between them. There are manifold techniques that have been developed to find those correspondenc...
Chan, Jonathan H Li, Chenqi
Published in
Methods (San Diego, Calif.)
The trendy task of digital medical image analysis has been continually evolving. It has been an area of prominent and growing importance from both research and deployment perspectives. Nonetheless, it is necessary to realize that the use of algorithms, methodology, as well as the source of medical image data, must be strictly scrutinized. As the CO...
Wang, Chen Calle, Paul Reynolds, Justin C. Ton, Sam Yan, Feng Donaldson, Anthony M. Ladymon, Avery D. Roberts, Pamela R. de Armendi, Alberto J. Fung, Kar-ming
...
Published in
Scientific Reports
Epidural anesthesia requires injection of anesthetic into the epidural space in the spine. Accurate placement of the epidural needle is a major challenge. To address this, we developed a forward-view endoscopic optical coherence tomography (OCT) system for real-time imaging of the tissue in front of the needle tip during the puncture. We tested thi...