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Cris Martin P. Jacoba, Leo Anthony Celi & Paolo S. Silva. (2021) Biomarkers for Progression in Diabetic Retinopathy: Expanding Personalized Medicine through Integration of AI with Electronic Health Records. Seminars in Ophthalmology 36:4, pages 250-257.
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W Riley Stroman & Jeffrey G Gross. (2014) Review of the latest treatments for proliferative diabetic retinopathy. Expert Review of Ophthalmology 9:5, pages 413-424.
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Articles from other publishers (66)
Hüseyin Anıl Korkmaz, Ali Devebacak, İbrahim Mert Erbaş, Cumali Değirmenci, Nilufer Uyar, Filiz Afrashi & Behzat Özkan. (2023) Comparison of Optical Coherence Tomography Angiography Findings between Healthy Children and Children with Type 1 Diabetes Mellitus and Autoimmune Thyroiditis. Journal of Clinical Research in Pediatric Endocrinology 15:4, pages 390-396.
Crossref
Crossref
Farhan K Alswailmi. (2023) Unveiling the Veil: Exploring Diabetic Retinopathy Awareness and Behaviors of the General Population of Hafr Al Batin, Saudi Arabia. Cureus.
Crossref
Crossref
Ahlam Shamsan, Ebrahim Mohammed Senan & Hamzeh Salameh Ahmad Shatnawi. (2023) Predicting of diabetic retinopathy development stages of fundus images using deep learning based on combined features. PLOS ONE 18:10, pages e0289555.
Crossref
Crossref
Prasanna Lakshmi Akella & R. Kumar. (2023) An advanced deep learning method to detect and classify diabetic retinopathy based on color fundus images. Graefe's Archive for Clinical and Experimental Ophthalmology.
Crossref
Crossref
Roshani Raut, Ashwini Sapkal, Vaishali Ingale, Pradnya Borkar & Parul Bhanarkar. (2023) Assessment of diabetic retinopathy progression using CNN from ocular thermal images. Soft Computing.
Crossref
Crossref
Payal Nannewar & Dr. Sanjay. L. Haridas. (2023) Diabetic Retinopathy Detection Through Deep Learning Techniques. International Journal of Scientific Research in Science and Technology, pages 729-734.
Crossref
Crossref
Tawfiq Beghriche, Bilal Attallah, Youcef Brik & Mohamed Djerioui. (2023) A multi-level fine-tuned deep learning based approach for binary classification of diabetic retinopathy. Chemometrics and Intelligent Laboratory Systems, pages 104820.
Crossref
Crossref
Richa Vij & Sakshi Arora. (2022) A Systematic Review on Diabetic Retinopathy Detection Using Deep Learning Techniques. Archives of Computational Methods in Engineering 30:3, pages 2211-2256.
Crossref
Crossref
Hadi Ostadimoghadam, Toktam Helmi, Abbasali Yekta, JavadHeravian Shandiz, Hojat Shafaei, HamedMomeni Moghadam & Monireh Mahjoob. (2023) Optical coherence tomography and contrast sensitivity in early diabetic retinopathy. Taiwan Journal of Ophthalmology 0:0, pages 0.
Crossref
Crossref
Kittipol Wisaeng. (2023) A Novel Soft Clustering Method for Detection of Exudates. Computer Systems Science and Engineering 46:1, pages 1039-1058.
Crossref
Crossref
Pooja Bidwai, Shilpa Gite, Kishore Pahuja & Ketan Kotecha. (2022) A Systematic Literature Review on Diabetic Retinopathy Using an Artificial Intelligence Approach. Big Data and Cognitive Computing 6:4, pages 152.
Crossref
Crossref
A. P. Sunija, Adithya K. Krishna, Varun P. Gopi & P. Palanisamy. (2022) MULTI-SCALE DIRECTED ACYCLIC GRAPH-CNN FOR AUTOMATED CLASSIFICATION OF DIABETIC RETINOPATHY FROM OCT IMAGES. Biomedical Engineering: Applications, Basis and Communications 34:05.
Crossref
Crossref
Hualin Wang, Yuhong Zhou, Jiong Zhang, Jianqin Lei, Dongke Sun, Feng Xu & Xiayu Xu. (2022) Anomaly segmentation in retinal images with poisson-blending data augmentation. Medical Image Analysis 81, pages 102534.
Crossref
Crossref
Carlos Santos, Marilton Aguiar, Daniel Welfer & Bruno Belloni. (2022) A New Approach for Detecting Fundus Lesions Using Image Processing and Deep Neural Network Architecture Based on YOLO Model. Sensors 22:17, pages 6441.
Crossref
Crossref
Ruoan Han, Gangwei Cheng, Bilei Zhang, Jingyuan Yang, Mingzhen Yuan, Dalu Yang, Junde Wu, Junwei Liu, Chan Zhao, Youxin Chen & Yanwu Xu. (2022) Validating automated eye disease screening AI algorithm in community and in-hospital scenarios. Frontiers in Public Health 10.
Crossref
Crossref
G. U. Parthasharathi, K. Vasantha Kumar, R. Premnivas & K. Jasmine. (2022) Diabetic Retinopathy Detection Using Machine Learning. Journal of Innovative Image Processing 4:1, pages 26-33.
Crossref
Crossref
Feyza ALTUNBEY ÖZBAY & Erdal ÖZBAY. (2022) DİYABETİK RETİNOPATİ TESPİTİ İÇİN ATOM ARAMA OPTİMİZASYONU İLE ÖZELLİK SEÇİMİ YÖNTEMİFEATURE SELECTION METHOD WITH ATOM SEARCH OPTIMIZATION FOR DETECTION OF DIABETIC RETINOPATHY. Adıyaman Üniversitesi Mühendislik Bilimleri Dergisi 9:16, pages 88-104.
Crossref
Crossref
Abhay M Pamadi, Ananya Ravishankar, P Anu Nithya, G Jahnavi & Sheela Kathavate. (2022) Diabetic Retinopathy Detection using MobileNetV2 Architecture. Diabetic Retinopathy Detection using MobileNetV2 Architecture.
Gahyung Ryu, Kyungmin Lee, Donggeun Park, Inhye Kim, Sang Hyun Park & Min Sagong. (2022) A Deep Learning Algorithm for Classifying Diabetic Retinopathy Using Optical Coherence Tomography Angiography. Translational Vision Science & Technology 11:2, pages 39.
Crossref
Crossref
Muhammad Nadeem Ashraf, Muhammad Hussain & Zulfiqar Habib. (2022) Deep Red Lesion Classification for Early Screening of Diabetic Retinopathy. Mathematics 10:5, pages 686.
Crossref
Crossref
Joan M. Nunez do Rio, Paul Nderitu, Christos Bergeles, Sobha Sivaprasad, Gavin S. W. Tan & Rajiv Raman. (2022) Evaluating a Deep Learning Diabetic Retinopathy Grading System Developed on Mydriatic Retinal Images When Applied to Non-Mydriatic Community Screening. Journal of Clinical Medicine 11:3, pages 614.
Crossref
Crossref
Zaheera Abdool, Kovin Naidoo & Linda Visser. (2022) Development of a diabetic retinopathy screening model for a district health system in Limpopo Province, South Africa. African Vision and Eye Health 81:1.
Crossref
Crossref
Slobodan JankovićM.M. & Nemanja Petrović. (2022) Reduction of direct and indirect costs of treatment of patients with type 2 diabetes due to good glycemic control and reduced frequency of complications. Galenika Medical Journal 1:4, pages 6-12.
Crossref
Crossref
Siyu Liu, Dan Wang & Xiaoxi Wang. (2022) GLER-Unet: An ensemble network for hard exudates segmentation. ITM Web of Conferences 47, pages 01012.
Crossref
Crossref
Preeti Kapoor & Shaveta Arora. 2022. Proceedings of Data Analytics and Management. Proceedings of Data Analytics and Management
505
535
.
Saif Hameed Abbood, Haza Nuzly Abdull Hamed & Mohd Shafry Mohd Rahim. 2022. IoT Technologies for Health Care. IoT Technologies for Health Care
99
112
.
Rajendra Gyawali, Melinda Toomey, Fiona Stapleton, Barbara Zangerl, Lisa Dillon, Kam Chun Ho, Lisa Keay, Sally Marwan M Alkhawajah, Gerald Liew & Isabelle Jalbert. (2021) Systematic review of diabetic eye disease practice guidelines: more applicability, transparency and development rigor are needed. Journal of Clinical Epidemiology 140, pages 56-68.
Crossref
Crossref
Zaheera Abdool, Kovin Naidoo & Linda Visser. (2021) Development of a diabetic retinopathy screening model for a district health system in Limpopo Province, South Africa. African Vision and Eye Health 80:1.
Crossref
Crossref
Carlos Santos, Marilton Sanchotene De Aguiar, Daniel Welfer & Bruno Belloni. (2021) Deep Neural Network Model based on One-Stage Detector for Identifying Fundus Lesions. Deep Neural Network Model based on One-Stage Detector for Identifying Fundus Lesions.
Yong Han, Weiming Li, Mengmeng Liu, Zhiyuan Wu, Feng Zhang, Xiangtong Liu, Lixin Tao, Xia Li & Xiuhua Guo. (2021) Application of an Anomaly Detection Model to Screen for Ocular Diseases Using Color Retinal Fundus Images: Design and Evaluation Study. Journal of Medical Internet Research 23:7, pages e27822.
Crossref
Crossref
Alexandros Papadopoulos, Fotis Topouzis & Anastasios Delopoulos. (2021) An interpretable multiple-instance approach for the detection of referable diabetic retinopathy in fundus images. Scientific Reports 11:1.
Crossref
Crossref
Lorenz Adlung, Yotam Cohen, Uria Mor & Eran Elinav. (2021) Machine learning in clinical decision making. Med 2:6, pages 642-665.
Crossref
Crossref
Abhijit Kakati & Amarendra Kumar Das. 2021. Design for Tomorrow—Volume 2. Design for Tomorrow—Volume 2
29
40
.
Zaheera Abdool, Kovin Naidoo & Linda Visser. (2020) Competency level assessment of healthcare practitioners in managing diabetes and diabetic eye disease in the district health system of Limpopo province, South Africa. African Vision and Eye Health 79:1.
Crossref
Crossref
Gaurav Saxena, Dhirendra Kumar Verma, Amit Paraye, Alpana Rajan & Anil Rawat. (2020) Improved and robust deep learning agent for preliminary detection of diabetic retinopathy using public datasets. Intelligence-Based Medicine 3-4, pages 100022.
Crossref
Crossref
Lutfiah Al Turk, Su Wang, Paul Krause, James Wawrzynski, George M. Saleh, Hend Alsawadi, Abdulrahman Zaid Alshamrani, Tunde Peto, Andrew Bastawrous, Jingren Li & Hongying Lilian Tang. (2020) Evidence Based Prediction and Progression Monitoring on Retinal Images from Three Nations. Translational Vision Science & Technology 9:2, pages 44.
Crossref
Crossref
Avinash V. Varadarajan, Pinal Bavishi, Paisan Ruamviboonsuk, Peranut Chotcomwongse, Subhashini Venugopalan, Arunachalam Narayanaswamy, Jorge Cuadros, Kuniyoshi Kanai, George Bresnick, Mongkol Tadarati, Sukhum Silpa-archa, Jirawut Limwattanayingyong, Variya Nganthavee, Joseph R. Ledsam, Pearse A. Keane, Greg S. Corrado, Lily Peng & Dale R. Webster. (2020) Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning. Nature Communications 11:1.
Crossref
Crossref
Jaemin Son, Joo Young Shin, Hoon Dong Kim, Kyu-Hwan Jung, Kyu Hyung Park & Sang Jun Park. (2020) Development and Validation of Deep Learning Models for Screening Multiple Abnormal Findings in Retinal Fundus Images. Ophthalmology 127:1, pages 85-94.
Crossref
Crossref
Wejdan L. Alyoubi, Wafaa M. Shalash & Maysoon F. Abulkhair. (2020) Diabetic retinopathy detection through deep learning techniques: A review. Informatics in Medicine Unlocked 20, pages 100377.
Crossref
Crossref
Gabriel Tozatto Zago, Rodrigo Varejão Andreão, Bernadette Dorizzi & Evandro Ottoni Teatini Salles. (2020) Diabetic retinopathy detection using red lesion localization and convolutional neural networks. Computers in Biology and Medicine 116, pages 103537.
Crossref
Crossref
Jeany Q. Li, Thomas Welchowski, Matthias Schmid, Julia Letow, Caroline Wolpers, Isabel Pascual-Camps, Frank G. Holz & Robert P. Finger. (2019) Prevalence, incidence and future projection of diabetic eye disease in Europe: a systematic review and meta-analysis. European Journal of Epidemiology 35:1, pages 11-23.
Crossref
Crossref
Shaoteng Liu, Lijun Gong, Kai Ma & Yefeng Zheng. 2020. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
585
594
.
Dalu Yang, Yehui Yang, Tiantian Huang, Binghong Wu, Lei Wang & Yanwu Xu. 2020. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
464
474
.
Malavika BhaskaranandChaithanya RamachandraSandeep BhatJorge CuadrosMuneeswar G. NittalaSrinivas R. SaddaKaushal Solanki. (2019) The Value of Automated Diabetic Retinopathy Screening with the EyeArt System: A Study of More Than 100,000 Consecutive Encounters from People with Diabetes. Diabetes Technology & Therapeutics 21:11, pages 635-643.
Crossref
Crossref
Merve Inanc, Kemal Tekin, Hasan Kiziltoprak, Servan Ozalkak, Sibel Doguizi & Zehra Aycan. (2019) Changes in Retinal Microcirculation Precede the Clinical Onset of Diabetic Retinopathy in Children With Type 1 Diabetes Mellitus. American Journal of Ophthalmology 207, pages 37-44.
Crossref
Crossref
Tao Li, Yingqi Gao, Kai Wang, Song Guo, Hanruo Liu & Hong Kang. (2019) Diagnostic assessment of deep learning algorithms for diabetic retinopathy screening. Information Sciences 501, pages 511-522.
Crossref
Crossref
Varun Gulshan, Renu P. Rajan, Kasumi Widner, Derek Wu, Peter Wubbels, Tyler Rhodes, Kira Whitehouse, Marc Coram, Greg Corrado, Kim Ramasamy, Rajiv Raman, Lily Peng & Dale R. Webster. (2019) Performance of a Deep-Learning Algorithm vs Manual Grading for Detecting Diabetic Retinopathy in India. JAMA Ophthalmology 137:9, pages 987.
Crossref
Crossref
Paisan Ruamviboonsuk, Jonathan Krause, Peranut Chotcomwongse, Rory Sayres, Rajiv Raman, Kasumi Widner, Bilson J. L. Campana, Sonia Phene, Kornwipa Hemarat, Mongkol Tadarati, Sukhum Silpa-Archa, Jirawut Limwattanayingyong, Chetan Rao, Oscar Kuruvilla, Jesse Jung, Jeffrey Tan, Surapong Orprayoon, Chawawat Kangwanwongpaisan, Ramase Sukumalpaiboon, Chainarong Luengchaichawang, Jitumporn Fuangkaew, Pipat Kongsap, Lamyong Chualinpha, Sarawuth Saree, Srirut Kawinpanitan, Korntip Mitvongsa, Siriporn Lawanasakol, Chaiyasit Thepchatri, Lalita Wongpichedchai, Greg S. Corrado, Lily Peng & Dale R. Webster. (2019) Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program. npj Digital Medicine 2:1.
Crossref
Crossref
Yang Jun. (2019) Research on the Teaching Model of Oral English Training Based on Digital Network. Research on the Teaching Model of Oral English Training Based on Digital Network.
Rory Sayres, Ankur Taly, Ehsan Rahimy, Katy Blumer, David Coz, Naama Hammel, Jonathan Krause, Arunachalam Narayanaswamy, Zahra Rastegar, Derek Wu, Shawn Xu, Scott Barb, Anthony Joseph, Michael Shumski, Jesse Smith, Arjun B. Sood, Greg S. Corrado, Lily Peng & Dale R. Webster. (2019) Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy. Ophthalmology 126:4, pages 552-564.
Crossref
Crossref
Nagihan Uğurlu, Ayşe Güzin Taşlıpınar, Fatma Yülek, Didem Özdemir, Reyhan Ersoy & Bekir Çakır. (2018) Evaluation of Retinal Microvascular Structures in Type 1 Diabetic Patients without Diabetic Retinopathy. Ankara Medical Journal.
Crossref
Crossref
Joanna Gołębiewska, Andrzej Olechowski, Marta Wysocka-Mincewicz, Marta Baszyńska-Wilk, Artur Groszek, Agnieszka Czeszyk-Piotrowicz, Mieczysław Szalecki & Wojciech Hautz. (2018) Choroidal Thickness and Ganglion Cell Complex in Pubescent Children with Type 1 Diabetes without Diabetic Retinopathy Analyzed by Spectral Domain Optical Coherence Tomography. Journal of Diabetes Research 2018, pages 1-8.
Crossref
Crossref
Chunyan Lian, Yixiong Liang, Rui Kang & Yao Xiang. (2018) Deep Convolutional Neural Networks for Diabetic Retinopathy Classification. Deep Convolutional Neural Networks for Diabetic Retinopathy Classification.
Joanna Gołębiewska, Andrzej Olechowski, Marta Wysocka-Mincewicz, Dominik Odrobina, Marta Baszyńska-Wilk, Artur Groszek, Mieczysław Szalecki & Wojciech Hautz. (2017) Optical coherence tomography angiography vessel density in children with type 1 diabetes. PLOS ONE 12:10, pages e0186479.
Crossref
Crossref
Brian D. Krawitz, Shelley Mo, Lawrence S. Geyman, Steven A. Agemy, Nicole K. Scripsema, Patricia M. Garcia, Toco Y.P. Chui & Richard B. Rosen. (2017) Acircularity index and axis ratio of the foveal avascular zone in diabetic eyes and healthy controls measured by optical coherence tomography angiography. Vision Research 139, pages 177-186.
Crossref
Crossref
Kumari Neelam, Catherina J Goenadi, Katherine Lun, Chee Chew Yip & Kah-Guan Au Eong. (2017) Putative protective role of lutein and zeaxanthin in diabetic retinopathy. British Journal of Ophthalmology 101:5, pages 551-558.
Crossref
Crossref
Zaheera Abdool, Kovin S. Naidoo & Linda Visser. (2017) Stakeholders’ perspectives on the management of diabetic retinopathy for a district health system – South Africa. African Vision and Eye Health 76:1.
Crossref
Crossref
Mary J van Schooneveld & Jan EE Keunen. 2017. Taylor and Hoyt's Pediatric Ophthalmology and Strabismus. Taylor and Hoyt's Pediatric Ophthalmology and Strabismus
537
545.e2
.
Stephanie Lin, Pradeep Ramulu, Ecosse L Lamoureux & Charumathi Sabanayagam. (2016) Addressing risk factors, screening, and preventative treatment for diabetic retinopathy in developing countries: a review. Clinical & Experimental Ophthalmology 44:4, pages 300-320.
Crossref
Crossref
Zaheera Abdool, Kovin Naidoo & Linda Visser. (2016) The management of diabetic retinopathy in the public sector of eThekwini district of KwaZulu-Natal. African Vision and Eye Health 75:1.
Crossref
Crossref
G. Foureaux, B. S. Nogueira, D. C. O. Coutinho, M. K. Raizada, J. C. Nogueira & A. J. Ferreira. (2015) Activation of endogenous angiotensin converting enzyme 2 prevents early injuries induced by hyperglycemia in rat retina. Brazilian Journal of Medical and Biological Research 48:12, pages 1109-1114.
Crossref
Crossref
Aitor Eguzkiza, Jesús Daniel Trigo, Miguel Martínez-Espronceda, Luis Serrano & José Andonegui. (2015) Formalize clinical processes into electronic health information systems: Modelling a screening service for diabetic retinopathy. Journal of Biomedical Informatics 56, pages 112-126.
Crossref
Crossref
QureshA Mohamed. (2014) Ocular imaging in diabetic retinopathy. Egyptian Retina Journal 2:1, pages 19.
Crossref
Crossref
Katarzyna Zorena. (2014) Anti-Inflammatory Therapy in Diabetic Retinopathy. Mediators of Inflammation 2014, pages 1-2.
Crossref
Crossref
Dorota Raczyńska, Katarzyna Zorena, Beata Urban, Dominik Zalewski, Andrzej Skorek, Grażyna Malukiewicz & Bartosz L. Sikorski. (2014) Current Trends in the Monitoring and Treatment of Diabetic Retinopathy in Young Adults. Mediators of Inflammation 2014, pages 1-13.
Crossref
Crossref
Rahul Chakrabarti & Tanushree Chatterjee. (2013) Tip of the Iceberg. Asia-Pacific Journal of Ophthalmology 2:2, pages 76-78.
Crossref
Crossref