Results 41 to 50 of about 301,445 (291)

Amygdala Neurodegeneration: A Key Driver of Visual Dysfunction in Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Visual disability in Parkinson's disease (PD) is not fully explained by retinal neurodegeneration. We aimed to delineate the brain substrate of visual dysfunction in PD and its association with retinal thickness. Methods Forty‐two PD patients and 29 controls underwent 3‐Tesla MRI, retinal spectral‐domain optical coherence tomography,
Asier Erramuzpe, Ane Murueta‐Goyena, Antonio Jimenez‐Marin, Marian Acera, Sara Teijeira‐Portas, Rocío Del Pino, Tamara Fernández‐Valle, Ibai Diez, Unai Sainz‐Lugarezaresti, Naroa Ibarretxe‐Bilbao, Unai Ayala, Maitane Barrenechea, Alberto Cabrera‐Zubizarreta, Jesús Cortés, Juan Carlos Gómez‐Esteban, Iñigo Gabilondo   +15 more
wiley   +1 more source

Ocular Disease Classification Using CNN with Deep Convolutional Generative Adversarial Network [PDF]

Lecture Notes in Electrical Engineering, vol 1190. Springer, Singapore. 29 September 2024
The Convolutional Neural Network (CNN) has shown impressive performance in image classification because of its strong learning capabilities. However, it demands a substantial and balanced dataset for effective training. Otherwise, networks frequently exhibit over fitting and struggle to generalize to new examples.
arxiv   +1 more source

Cerebello‐Prefrontal Connectivity Underlying Cognitive Dysfunction in Spinocerebellar Ataxia Type 2

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxia type 2 (SCA2) is a hereditary cerebellar degenerative disorder, with motor and cognitive symptoms. The constellation of cognitive symptoms due to cerebellar degeneration is named cerebellar cognitive affective syndrome (CCAS), which has increasingly been recognized to profoundly impact patients' quality of life;
Ami Kumar, Ruo‐Yah Lai, Zena Fadel, Yicheng Lin, Pia Parekh, Rachel Griep, Ming‐Kai Pan, Sheng‐Han Kuo   +7 more
wiley   +1 more source

Molecular Changes in Aqueous Humor Associated with Inflammation Following Cataract Surgery in Patients with Fuchs’ Endothelial Corneal Dystrophy

Ophthalmology and Therapy
Introduction To evaluate the anterior chamber (AC) inflammation in the early postoperative period after cataract surgery and before Descemet membrane endothelial keratoplasty (DMEK) by quantifying oxidative stress and inflammatory mediators in aqueous ...
Lizaveta Chychko, Hyeck-Soo Son, Maximilian Friedrich, Ramin Khoramnia, Gerd U. Auffarth, Victor A. Augustin   +5 more
doaj   +1 more source

Deep Representations for Cross-spectral Ocular Biometrics [PDF]

, 2019
One of the major challenges in ocular biometrics is the cross-spectral scenario, i.e., how to match images acquired in different wavelengths (typically visible (VIS) against near-infrared (NIR)). This article designs and extensively evaluates cross-spectral ocular verification methods, for both the closed and open-world settings, using well known deep ...
arxiv   +1 more source

A deep learning model for classification of diabetic retinopathy in eye fundus images based on retinal lesion detection [PDF]

arXiv, 2021
Diabetic retinopathy (DR) is the result of a complication of diabetes affecting the retina. It can cause blindness, if left undiagnosed and untreated. An ophthalmologist performs the diagnosis by screening each patient and analyzing the retinal lesions via ocular imaging. In practice, such analysis is time-consuming and cumbersome to perform.
arxiv  

Current and Future Cornea Chip Models for Advancing Ophthalmic Research and Therapeutics

Advanced Biology, EarlyView.
This review analyzes cornea chip technology as an innovative solution to corneal blindness and tissue scarcity. The examination encompasses recent developments in biomaterial design and fabrication methods replicating corneal architecture, highlighting applications in drug screening and disease modeling while addressing key challenges in mimicking ...
Minju Kim, Kanghoon Choi, Amy Lin, Jungkyu Kim   +3 more
wiley   +1 more source

ORCNet: A context-based network to simultaneously segment the ocular region components [PDF]

arXiv, 2022
Accurate extraction of the Region of Interest is critical for successful ocular region-based biometrics. In this direction, we propose a new context-based segmentation approach, entitled Ocular Region Context Network (ORCNet), introducing a specific loss function, i.e., he Punish Context Loss (PC-Loss). The PC-Loss punishes the segmentation losses of a
arxiv  

Scaling Up Synthetic Cell Production Using Robotics and Machine Learning Toward Therapeutic Applications

Advanced Biology, EarlyView.
Synthetic cells (SCs) hold great promise for biomedical applications, but manual production limits scalability. This study presents an automated method for large‐scale SC synthesis, integrating robotic liquid handling and machine learning‐driven high‐throughput characterization.
Noga Sharf‐Pauker, Ido Galil, Omer Kfir, Gal Chen, Rotem Menachem, Jeny Shklover, Avi Schroeder, Shanny Ackerman   +7 more
wiley   +1 more source

Preoperative edema severity affects outcomes after Descemet membrane endothelial keratoplasty for Fuchs endothelial corneal dystrophy: a cohort study

Eye and Vision
Background In patients with Fuchs endothelial corneal dystrophy (FECD), the most beneficial stage to perform Descemet membrane endothelial keratoplasty (DMEK) remains uncertain.
Maximilian Friedrich, Hyeck-Soo Son, Jasper Lind, Maximilian Hammer, Lizaveta Chychko, Timur Mert Yildirim, Gerd Uwe Auffarth, Victor Aristide Augustin   +7 more
doaj   +1 more source