The Role of Using Motorized Diamond Burr Polisher Instrument in Minimizing the Recurrent Rate of Pterygium Excision by Sakar Abdulkarim Nidhamalddin

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Minimally Invasive Medial Plating of Low-Energy Lisfranc Injuries: Preliminary Experience with Five Cases by Jorge Javier del Vecchio, Mauricio Ghioldi, Nicolás Raimondi, Manuel De Elias

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A Deep Learning for Optimization and Visualization of Expressway Toll Lane Management by Pattarapon Klaykul, Wilaiporn Lee, Kanabadee Srisomboon, Luepol Pipanmekaporn, Akara Prayote

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Image Registration Using the Arithmetic Optimization Algorithm for Robotic Visual Servoing by Mohamed Kmich, Inssaf Harrade, Hicham Karmouni, Mhamed Sayyouri, S. S. Askar, Mohamed Abouhawwash

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Visualizing Ambiguity: Analyzing Linguistic Ambiguity Resolution in Text-to-Image Models by Wala Elsharif, Mahmood Alzubaidi, James She, Marco Agus

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Normal and melanoma skin visualized, quantified and compared by in vivo photoacoustic imaging by Terese von Knorring, Tobias Buhl Ihlemann, Paul Blanche, Charlene Reichl, Niels Møller Israelsen, Caroline Meyer Olesen, Yasemin Topal Yüksel, Mette Mogensen

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Visual Impairment Spatial Awareness System for Indoor Navigation and Daily Activities by Xinrui Yu, Jafar Saniie

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A Simple Visualization Method for Three-Dimensional (3D) Network by Sangkwon Kim, Chaeyoung Lee, Jintae Park, Sungha Yoon, Yongho Choi, Junseok Kim

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Minimally invasive needle tenotomy vs. platelet rich plasma injection in the treatment of chronic elbow epicondylitis by Chantal T. Nguyen, MD, Michelle H. Lee, MD, Matthew W. Kaufman, MD, Yue Meng, MD, Jyotsna A. Koduri, MD, Geoffrey Abrams, MD, Emilie V. Cheung, MD, Michael T. Freehill, MD, Eugene Y. Roh, MD

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Unsupervised Visual-to-Geometric Feature Reconstruction for Vision-Based Industrial Anomaly Detection by Dinh-Cuong Hoang, Phan Xuan Tan, Anh-Nhat Nguyen, Duc-Thanh Tran, Van-Hiep Duong, Anh-Truong Mai, Duc-Long Pham, Khanh-Toan Phan, Minh-Quang Do, Ta Huu Anh Duong, Tuan-Minh Huynh, Son-Anh Bui, Duc-Manh Nguyen, Viet-Anh Trinh, Khanh-Duong Tran, Thu-Uyen Nguyen

“…Instead of directly fusing these features, we propose a geometric feature reconstruction network that predicts 3D geometric features from the 2D visual features. During training, we minimize the difference between the predicted geometric features and the extracted geometric features, enabling the model to learn how 2D appearance correlates with 3D structure in anomaly-free images. …”
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Visual Disturbance Caused by a Nail Gun-Induced Penetrating Brain Injury by Jin Bong Ye, Young Hoon Sul, Se Heon Kim, Jin Young Lee, Jin Suk Lee, Hong Rye Kim, Soo Young Yoon, Jung Hee Choi

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Deep Learning Landscape Evaluation System Integrating Poetic Emotion and Visual Features by Chuanyuan Li

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Influence of Donor Thickness on Visual Acuity in Descemet’s Stripping Automated Endothelial Keratoplasty by Tomislav Kuzman, Ana Meter, Miro Kalauz, Sanja Masnec, Ivan Škegro, Ivana Jonjić

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Mobile Apps and Visual Function Assessment: A Comprehensive Review of the Latest Advancements by Caius Goh, Marilyn Puah, Zhi Hong Toh, Joewee Boon, Debbie Boey, Ryan Tay, Ashita A. Sule, Renee Liu, Xing-Er Ong, Aditya Kalra, Satvik Gupta, Andres Rousselot, William Rojas-Carabali, Bryan Ang, Rupesh Agrawal

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Minimally Invasive Repetitive UVA Irradiation along with Riboflavin Treatment Increased the Strength of Sclera Collagen Cross-Linking by Bo Xiao, Yanhua Chu, Hongyan Wang, Quanhong Han

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Minimally Invasive Vitreoretinal Surgery (25G, 27G) with High-speed Vitrectomy Cutter – Case Series by Krzysztof Broniarek, Katarzyna Michalska-Małecka

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Influence of the “five‑in‑one” mode on complications and compliance behaviors of patients with ureteral calculi after minimally invasive surgery by Xixian Ou, Xuejing Wang

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stormTB: a web-based simulator of a murine minimal-PBPK model for anti-tuberculosis treatments by Roberto Visintainer, Anna Fochesato, Anna Fochesato, Daniele Boaretti, Stefano Giampiccolo, Stefano Giampiccolo, Shayne Watson, Micha Levi, Federico Reali, Luca Marchetti, Luca Marchetti

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Embedding-based pair generation for contrastive representation learning in audio-visual surveillance data by Wei-Cheng Wang, Sander De Coninck, Sam Leroux, Pieter Simoens

“…As data annotation is expensive, self-supervised methods such as contrastive learning are used to learn audio-visual representations for downstream tasks. Focusing on surveillance data, we investigate two common limitations of audio-visual contrastive learning: false negatives and the minimal sufficient information bottleneck. …”
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Assessing and visualizing fragility of clinical results with binary outcomes in R using the fragility package. by Lifeng Lin, Haitao Chu

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