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402 results on '"Amescua, Guillermo"'

1. Corneal infections

Author

Sepulveda-Beltran, Paula A., primary, Altamirano, Diego S., additional, and Amescua, Guillermo, additional

Published
2025
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2. Ocular inflammation

Author

Sepulveda-Beltran, Paula A., primary, Altamirano, Diego S., additional, and Amescua, Guillermo, additional

Published
2025
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3. Contributors

Author

Ahluwalia, Aneesha, primary, Ali, Asim, additional, Altamirano, Diego, additional, Amescua, Guillermo, additional, Awidi, Abdelhalim, additional, Berry, J. Christian, additional, Bower, Kraig, additional, Caywood, Rachel, additional, Cheung, Albert Y., additional, Chow, Jessica, additional, Correa, Zelia M., additional, Crum, Amanda, additional, Daoud, Yassine, additional, Meglio, Laura Di, additional, Eghrari, Allen Omid, additional, Eisenberg, Dan, additional, Filipe, Helena Prior, additional, Fliotsos, Michael Joseph, additional, Galor, Anat, additional, Jabbour, Samir, additional, Jeffrey, Joseph H., additional, Jun, Albert S., additional, Karp, Carol L., additional, Levinson, Brett, additional, Nongpiur, Monisha E., additional, Riaz, Kamran M., additional, Sepulveda Beltran, Paula A., additional, Shekhawat, Nakul, additional, Srikumaran, Divya, additional, Vongsachang, Hursuong, additional, Wall, Sarah L., additional, Wang, Kendrick, additional, Woreta, Fasika, additional, and Zhu, Angela Y., additional

Published
2025
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4. Creating Realistic Anterior Segment Optical Coherence Tomography Images using Generative Adversarial Networks

Author

Assaf, Jad F., Mrad, Anthony Abou, Reinstein, Dan Z., Amescua, Guillermo, Zakka, Cyril, Archer, Timothy, Yammine, Jeffrey, Lamah, Elsa, Haykal, Michèle, and Awwad, Shady T.

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, 68T45, I.2.10
Abstract

This paper presents the development and validation of a Generative Adversarial Network (GAN) purposed to create high-resolution, realistic Anterior Segment Optical Coherence Tomography (AS-OCT) images. We trained the Style and WAvelet based GAN (SWAGAN) on 142,628 AS-OCT B-scans. Three experienced refractive surgeons performed a blinded assessment to evaluate the realism of the generated images; their results were not significantly better than chance in distinguishing between real and synthetic images, thus demonstrating a high degree of image realism. To gauge their suitability for machine learning tasks, a convolutional neural network (CNN) classifier was trained with a dataset containing both real and GAN-generated images. The CNN demonstrated an accuracy rate of 78% trained on real images alone, but this accuracy rose to 100% when training included the generated images. This underscores the utility of synthetic images for machine learning applications. We further improved the resolution of the generated images by up-sampling them twice (2x) using an Enhanced Super Resolution GAN (ESRGAN), which outperformed traditional up-sampling techniques. In conclusion, GANs can effectively generate high-definition, realistic AS-OCT images, proving highly beneficial for machine learning and image analysis tasks., Comment: British Journal of Ophthalmology, published online May 2, 2024

Published
2023
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13. Blepharitis Preferred Practice Pattern®

Author

Lin, Amy, Ahmad, Sumayya, Amescua, Guillermo, Cheung, Albert Y., Choi, Daniel S., Jhanji, Vishal, Mian, Shahzad I., Rhee, Michelle K., Viriya, Elizabeth T., Mah, Francis S., and Varu, Divya M.

Published
2024
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14. Conjunctivitis Preferred Practice Pattern

Author

Cheung, Albert Y., Choi, Daniel S., Ahmad, Sumayya, Amescua, Guillermo, Jhanji, Vishal, Lin, Amy, Mian, Shahzad I., Rhee, Michelle K., Viriya, Elizabeth T., Mah, Francis S., and Varu, Divya M.

Published
2024
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15. Automatic Classification of Slit-Lamp Photographs by Imaging Illumination

Author

Lu, Ming-Chen, Deng, Callie, Greenwald, Miles F., Farsiu, Sina, Prajna, N. Venkatesh, Nallasamy, Nambi, Pawar, Mercy, Hart, Jenna N., SR, Sumithra, Kochar, Prabhleen, Selvaraj, Suvitha, Levine, Harry, Amescua, Guillermo, Sepulveda-Beltran, Paula A., Niziol, Leslie M., Woodward, Maria A., Niziol, Leslie M., Khan, Mariam, Winter, Suzanne, Sherman, Eric, Miller, Keith D., Kang, Linda, Touhy, Megan, Soeken, Tim, Armenti, Stephen T., Kochar, Prabhleen, Sumithra, Sr, Kuppuraj, Dhanya, and Loo, Jessica

Published
2024
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17. Double-masked, sham and placebo-controlled trial of corneal cross-linking and topical difluprednate in the treatment of bacterial keratitis: Steroids and Cross-linking for Ulcer Treatment Trial (SCUT II) study protocol

Author

Radhakrishnan, Naveen, Prajna, Venkatesh N, Prajna, Lalitha S, Venugopal, Anitha, Narayana, Shivanandha, Rajaraman, Revathi, Amescua, Guillermo, Porco, Travis C, Lietman, Thomas M, and Rose-Nussbaumer, Jennifer

Subjects
Biomedical and Clinical Sciences, Ophthalmology and Optometry, Clinical Trials and Supportive Activities, Infectious Diseases, Eye Disease and Disorders of Vision, Clinical Research, 6.1 Pharmaceuticals, Evaluation of treatments and therapeutic interventions, Eye, Infection, clinical trial, cornea, infection, inflammation, Ophthalmology and optometry
Abstract

IntroductionAlthough antibiotics are successful at achieving microbiological cure in infectious keratitis, outcomes are often poor due to corneal scarring. Ideal treatment of corneal ulcers would address both the infection and the inflammation. Adjunctive topical steroid treatment may improve outcomes by reducing inflammation. Corneal cross-linking (CXL) is a novel prospective therapy that may simultaneously reduce both inflammatory cells and bacterial pathogens. The purpose of this study is to determine differences in 6-month visual acuity between standard medical therapy with antibiotics versus antibiotics with adjunctive early topical steroid therapy versus antibiotic treatment plus CXL and early topical steroids.Methods and analysisThis international, randomised, sham and placebo-controlled, three-arm clinical trial randomises patients with smear positive bacterial ulcers in a 1:1:1 fashion to one of three treatment arms: (1) topical 0.5% moxifloxacin plus topical placebo plus sham CXL; (2) topical 0.5% moxifloxacin plus difluprednate 0.05% plus sham CXL; or (3) the CXL group: topical 0.5% moxifloxacin plus difluprednate 0.05% plus CXL.Ethics and disseminationWe anticipate that both adjunctive topical steroids and CXL will improved best spectacle corrected visual acuity and also reduce complications such as corneal perforation and the need for therapeutic penetrating keratoplasty. This study will comply with the NIH Data Sharing Policy and Policy on the Dissemination of NIH-Funded Clinical Trial Information and the Clinical Trials Registration and Results Information Submission rule. Our results will be disseminated via ClinicalTrials.gov website, meetings and journal publications. Our data will also be available on reasonable request.Trial registration numberNCT04097730.

Published
2021

20. Quantifying Clinicians’ Diagnostic Uncertainty When Making Initial Treatment Decisions for Microbial Keratitis

Author

Hicks, Patrice M., Singh, Karandeep, Prajna, N. Venkatesh, Lu, Ming-Chen, Niziol, Leslie M., Greenwald, Miles F., Verkade, Angela, Amescua, Guillermo, Farsiu, Sina, Woodward, Maria A., Amescua, Guillermo, Ahmed, Masih, Al-Mohtaseb, Zaina, Alvarez-Melloni, Diana, Amin, Sejal, Ayalew, Menen, Balasubramanian, Ashwin, Chamberlain, Winston, Chan, Matilda, Chan, Elsie, Chaudhary, Meenu, Chia, Thomas, Chodosh, James, Christy, Josephine, Clements, John, Dart, John, Dastjerdi, Mohammad, Denny, Matthew, Elghobaier, Mohamed, Estopinal, Chris, Gandhi, Preethika, Greenwald, Miles F., Gokhale, Nikhil, Hernandez, Natalie, Hovakimyan, Anna, Hwang, Frank, Hwang, David, Jaeschke, Tomas, Jhanji, Vishal, Karas, Faris, Karp, Carol, Kattana, Lakshmi, Keenan, Jeremy, Khandelwal, Sumitra, Kim, Tyson, Koo, Ellen, Koreishi, Aaleya, Li, Jennifer, Lietman, Tom, Macsai, Marian, Martinez, Jaime, JodMehta, Mimouni, Michael, Moss, Adam, Nanji, Afshan, Nataneli, Nathan, Nussbaumer, Jennifer, Panday, Vasudha, Pflugfelder, Stephen, Pradhan, Sayali, Prajna, N. Venkatesh, Rao, Naveen, Redd, Travis, Reddy, Satya, Sabater, Alfonso, Schallhorn, Julie, Seitzman, Gerami, Sella, Ruti, Shaik, Neha, Sharma, Sankalp Singh, Shekhawat, Nakul, Spokes, David, Sugar, Alan, Rostov, Audrey Talley, Tananuvat, Napaporn, Tangmonkongvoragul, Chulaluck, Tonk, Rahul, Tuli, Sonal, Upaphong, Phit, Vairavan, Suvitha, Van Dooren, Bart, Vasudevan, Manoj, Verkade, Angela, Wolle, Meraf, Woodward, Maria, Wozniak, Rachel, and YeanYaw, Choong

Published
2023
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25. Combined Therapeutic Penetrating Keratoplasty and Pars Plana Vitrectomy for the Treatment of Infectious Keratitis Endophthalmitis: Mexican Endophthalmitis Study Group Protocol 4

Author

Velez-Montoya, Raul, Rivera-Cortes, Mariana A., Ledesma-Gil, Gerardo, Carranza-Casas, Mario, Martinez, Jaime D., Levine, Harry, Yanuzzi, Nicolas A., Amescua, Guillermo, Ahmed, Ishrat, Beatson, Bradley, Akpek, Esen, Arevalo, J. Fernando, Fromow-Guerra, Jans, Velez-Montoya, R., García-Aguirre, G., Salcedo-Villanueva, G., Fromow-Guerra, J., Guerrero-Naranjo, J.L., Morales-Canton, V., Dalma-Weiszhausz, J., Quiroz-Mercado, H., Jimenez-Sierra, J.M., Martinez-Castellanos, M.A., Soberon-Ventura, V., Cernichiaro, L., Rojas-Juarez, S., Ramirez-Estudillo, A., Hernández-Vázquez, A.Y., Ledesma-Gil, G., Graue-Weichers, F., Fulda-Graue, E., Ariza-Camacho, E., López-Bolaños, A., Rodríguez-Loaiza, J.L., Lozano-Rechy, D., Moreno-Paramo, D., Flores-Peredo, V., García-Franco, R., Ramirez-Neria, P., Mira-Lorenzo, X., Hernández-Da Mota, S., Bejar-Cornejo, F., and Rodriguez-Valdez, P.J.

Published
2023
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27. Creating realistic anterior segment optical coherence tomography images using generative adversarial networks.

Author

Assaf, Jad F., Mrad, Anthony Abou, Reinstein, Dan Z., Amescua, Guillermo, Zakka, Cyril, Archer, Timothy J., Yammine, Jeffrey, Lamah, Elsa, Haykal, Michèle, and Awwad, Shady T.

Abstract

Aims: To develop a generative adversarial network (GAN) capable of generating realistic high-resolution anterior segment optical coherence tomography (AS-OCT) images. Methods: This study included 142 628 AS-OCT B-scans from the American University of Beirut Medical Center. The Style and WAvelet based GAN architecture was trained to generate realistic AS-OCT images and was evaluated through the Fréchet Inception Distance (FID) Score and a blinded assessment by three refractive surgeons who were asked to distinguish between real and generated images. To assess the suitability of the generated images for machine learning tasks, a convolutional neural network (CNN) was trained using a dataset of real and generated images over a classification task. The generated AS-OCT images were then upsampled using an enhanced super-resolution GAN (ESRGAN) to achieve high resolution. Results: The generated images exhibited visual and quantitative similarity to real AS-OCT images. Quantitative similarity assessed using FID scored an average of 6.32. Surgeons scored 51.7% in identifying real versus generated images which was not significantly better than chance (p value >0.3). The CNN accuracy improved from 78% to 100% when synthetic images were added to the dataset. The ESRGAN upsampled images were objectively more realistic and accurate compared with traditional upsampling techniques by scoring a lower Learned Perceptual Image Patch Similarity of 0.0905 compared with 0.4244 of bicubic interpolation. Conclusions: This study successfully developed and leveraged GANs capable of generating high-definition synthetic AS-OCT images that are realistic and suitable for machine learning and image analysis tasks. [ABSTRACT FROM AUTHOR]

Published
2024
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32. Fungal Keratitis

Author

Martinez, Jaime D., Amescua, Guillermo, Alfonso, Eduardo C., Colby, Kathryn, editor, and Dana, Reza, editor

Published
2020
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36. Tumor-Associated Cataract

Author

Medina Mendez, Carlos A., Aronow, Mary E., Amescua, Guillermo, Singh, Arun D., Singh, Arun D., editor, and Damato, Bertil E., editor

Published
2019
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37. Role of topical and systemic immunosuppression in aqueous-deficient dry eye disease

Author

Kate, Anahita, Shanbhag, Swapna, Donthineni, Pragnya, Amescua, Guillermo, Quinones, Victor, and Basu, Sayan

Subjects
Dry eye syndromes -- Diagnosis -- Care and treatment, Immunotherapy -- Patient outcomes, Immunosuppressive agents -- Dosage and administration, Topical medication -- Dosage and administration, Health
Abstract

Byline: Anahita. Kate, Swapna. Shanbhag, Pragnya. Donthineni, Guillermo. Amescua, Victor. Quinones, Sayan. Basu Immunosuppression in aqueous-deficient dry eye disease (ADDE) is required not only to improve the symptoms and signs [...]

Published
2023

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