On Edge Detection Algorithms for Water-Repellent Images of Insulators Taking into Account Efficient Approaches by Yizhuo Ding, Xiaofei Nan

“…Finally, this article sheds light on the potential of fractional differential equations in computer vision research and the benefits of developing new approaches to improve edge detection.…”
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Center-Emphasized Visual Saliency and a Contrast-Based Full Reference Image Quality Index by Md. Abu Layek, A. F. M. Shahab Uddin, Tuyen P. Le, TaeChoong Chung, Eui-Nam Huh

“…Many parameters such as color intensity, structure, sharpness, contrast, presence of an object, etc., draw human attention to an image. Psychological vision research suggests that human vision is biased to the center area of an image and display screen. …”
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Advances in transcorneal electrical stimulation: From the eye to the brain by Stephen K. Agadagba, Lee Wei Lim, Leanne Lai Hang Chan

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A Dense Feature Pyramid Network for Remote Sensing Object Detection by Yu Sun, Wenkai Liu, Yangte Gao, Xinghai Hou, Fukun Bi

“…In recent years, object detection in remote sensing images has become a popular topic in computer vision research. However, there are various problems in remote sensing object detection, such as complex scenes, small objects in large fields of view, and multi-scale object in different categories. …”
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Challenges and Opportunities in the Genetic Analysis of Inherited Retinal Dystrophies in Africa, a Literature Review by Oscar Onyango, Marianne Mureithi, Dennis Kithinji, Walter Jaoko, Kaoru Fujinami

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Enhancing Few-Shot Learning in Lightweight Models via Dual-Faceted Knowledge Distillation by Bojun Zhou, Tianyu Cheng, Jiahao Zhao, Chunkai Yan, Ling Jiang, Xinsong Zhang, Juping Gu

“…In recent computer vision research, the pursuit of improved classification performance often leads to the adoption of complex, large-scale models. …”
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Deep Learning for the Detection of Acute Lymphoblastic Leukemia Subtypes on Microscopic Images: A Systematic Literature Review by Tanzilal Mustaqim, Chastine Fatichah, Nanik Suciati

“…Computer vision research in detecting and classifying the subtype Acute Lymphoblastic Leukemia (ALL) has contributed to computer-aided diagnosis with improved accuracy. …”
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Case series of branch retinal vein occlusion secondary to rhegmatogenous retinal detachment and its surgical management by Youna Choi, Sung Jun Kim, Jae Jung Lee, Moosa Hasan Zaidi, Yong Un Shin, Ik Soo Byon, Ji Eun Lee, Sung Who Park

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Association of MBL2 gene polymorphisms and MBL levels with dilated cardiomyopathy in a Chinese Han population by Yujie Mao, Hong Wei, Yugang Gong, Lei Peng, Yu Chen

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Structural basis for the allosteric modulation of rhodopsin by nanobody binding to its extracellular domain by Arum Wu, David Salom, John D. Hong, Aleksander Tworak, Kohei Watanabe, Els Pardon, Jan Steyaert, Hideki Kandori, Kota Katayama, Philip D. Kiser, Krzysztof Palczewski

“…Abstract Rhodopsin is a prototypical G protein-coupled receptor (GPCR) critical for vertebrate vision. Research on GPCR signaling states has been facilitated using llama-derived nanobodies (Nbs), some of which bind to the intracellular surface to allosterically modulate the receptor. …”
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Classification of Brain Tumor from Magnetic Resonance Imaging Using Vision Transformers Ensembling by Sudhakar Tummala, Seifedine Kadry, Syed Ahmad Chan Bukhari, Hafiz Tayyab Rauf

“…Recently, vision transformer (ViT)-based deep neural network architectures have gained attention in the computer vision research domain owing to the tremendous success of transformer models in natural language processing. …”
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Multi-Encoder Context Aggregation Network for Structured and Unstructured Urban Street Scene Analysis by Tanmay Singha, Duc-Son Pham, Aneesh Krishna

“…Developing computationally efficient semantic segmentation models that are suitable for resource-constrained mobile devices is an open challenge in computer vision research. To address this challenge, we propose a novel real-time semantic scene segmentation model called Multi-encoder Context Aggregation Network (MCANet), which offers the best combination of low model complexity and state-of-the-art (SOTA) performance on benchmark datasets. …”
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Bibliometric analysis of the 3-year trends (2018–2021) in literature on artificial intelligence in ophthalmology and vision sciences by Tina Felfeli, Adrianna Perryman, Hayley Monson, Jeffrey Demaine

“…Objectives The objective of this analysis is to present a current view of the field of ophthalmology and vision research and artificial intelligence (AI) from topical and geographical perspectives. …”
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Fully Automated DCNN-Based Thermal Images Annotation Using Neural Network Pretrained on RGB Data by Adam Ligocki, Ales Jelinek, Ludek Zalud, Esa Rahtu

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Eyelid Warming Devices: Safety, Efficacy, and Place in Therapy by Bzovey B, Ngo W

“…Brandon Bzovey,1 William Ngo2,3 1Centre for Ocular Research & Education, School of Optometry & Vision Science University of Waterloo, Waterloo, Ontario, Canada; 2School of Optometry & Vision Science, University of Waterloo, Waterloo, Ontario, Canada; 3Centre for Eye and Vision Research (CEVR), Hong Kong, People’s Republic of ChinaCorrespondence: William Ngo, School of Optometry & Vision Science, University of Waterloo, Waterloo, ON, N2L 3G1, Canada, Tel +519-888-4567 x 40857, Email wngo@uwaterloo.caAbstract: Meibomian gland dysfunction (MGD) is characterized by the obstruction and/or inflammation of the meibomian glands that result in decreased and altered meibum secretion. …”
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Clinical and Genetic Characteristics of Korean Congenital Stationary Night Blindness Patients by Hyeong-Min Kim, Kwangsic Joo, Jinu Han, Se-Joon Woo

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Xp11.3 microdeletion causing Norrie disease and X-linked Kabuki syndrome by Mahsaw Mansoor, Razek Georges Coussa, Margaret R. Strampe, Scott A. Larson, Jonathan F. Russell

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An fMRI dataset of 1,102 natural videos for visual event understanding by Lahner, Benjamin

“…Additionally, we demonstrate its utility as a model evaluation benchmark to bridge the gap between visual neuroscience and video-based computer vision research.…”
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A machine learning method for pedestrian detection by Wang, Yi

“…Pedestrian detection has always been a challenging task of computer vision research for many decades. This dissertation presents a system that realizes the pedestrian detection in the surveillance video based on Convolutional Neural Network and video processing. …”
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Factors associated with complications and postoperative visual outcomes of cataract surgery; A study of 1,632 cases by Thanigasalam, T., Reddy, S.C., Zaki, R.A.