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For: Wu L, Fernandez-Loaiza P, Sauma J, Hernandez-Bogantes E, Masis M. Classification of diabetic retinopathy and diabetic macular edema. World J Diabetes 2013; 4(6): 290-294 [PMID: 24379919 DOI: 10.4239/wjd.v4.i6.290]
URL: https://www.wjgnet.com/1948-9358/full/v4/i6/290.htm
Number Citing Articles
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Ahmadou M. Jingi, Aurel T. Tankeu, Narcisse Assene Ateba, Jean Jacques Noubiap. Mechanism of worsening diabetic retinopathy with rapid lowering of blood glucose: the synergistic hypothesisBMC Endocrine Disorders 2017; 17(1) doi: 10.1186/s12902-017-0213-3
2
Mustafa Doğan, Bünyamin Kutluksaman. Macular pigment optical density after panretinal photocoagulationClinical and Experimental Optometry 2021; 104(2): 187 doi: 10.1111/cxo.13126
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Usharani Bhimavarapu, Gopi Battineni. Deep Learning for the Detection and Classification of Diabetic Retinopathy with an Improved Activation FunctionHealthcare 2022; 11(1): 97 doi: 10.3390/healthcare11010097
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Rodolfo Mastropasqua, Rossella D’Aloisio, Luca Di Antonio, Emanuele Erroi, Enrico Borrelli, Federica Evangelista, Giada D’Onofrio, Marta Di Nicola, Giuseppe Di Martino, Lisa Toto. Widefield optical coherence tomography angiography in diabetic retinopathyActa Diabetologica 2019; 56(12): 1293 doi: 10.1007/s00592-019-01410-w
5
Mohadese Estaji, Bita Hosseini, Saeed Bozorg-Qomi, Babak Ebrahimi. Pathophysiology and diagnosis of diabetic retinopathy: a narrative reviewJournal of Investigative Medicine 2023; 71(3): 265 doi: 10.1177/10815589221145040
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Murat Seçkin Ayhan, Laura Kühlewein, Gulnar Aliyeva, Werner Inhoffen, Focke Ziemssen, Philipp Berens. Expert-validated estimation of diagnostic uncertainty for deep neural networks in diabetic retinopathy detectionMedical Image Analysis 2020; 64: 101724 doi: 10.1016/j.media.2020.101724
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Aditya Verma, Chitralekha S. Devishamani, Rekha Priya Kalluri Bharat, Sashwanthi Mohan, Rupak Roy, Rajiv Raman. Digital Eye Care and Teleophthalmology2023; : 145 doi: 10.1007/978-3-031-24052-2_11
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Junyeop Lee, Byung Gil Moon, Ah Ran Cho, Young Hee Yoon. Optical Coherence Tomography Angiography of DME and Its Association with Anti-VEGF Treatment ResponseOphthalmology 2016; 123(11): 2368 doi: 10.1016/j.ophtha.2016.07.010
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Ning Dong, Hong Shi, Xin Tang. Plasma homocysteine levels are associated with macular thickness in type 2 diabetes without diabetic macular edemaInternational Ophthalmology 2018; 38(2): 737 doi: 10.1007/s10792-017-0528-0
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Bo Zhang, Zhulin Zhou, Bingjie Zhang, Dan Wang. Efficacy and Safety of Various Treatments for Proliferative Diabetic Retinopathy: A Systematic Review and Network Meta-AnalysisFrontiers in Pharmacology 2021; 12 doi: 10.3389/fphar.2021.709501
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Bhim B. Rai, Mohan K. Shresthra, Raba Thapa, Rohan W. Essex, Govinda Paudyal, Ted Maddess. Pattern and Presentation of Vitreo-Retinal Diseases: An Analysis of Retrospective Data at a Tertiary Eye Care Center in NepalAsia-Pacific Journal of Ophthalmology 2019; 8(6): 481 doi: 10.1097/01.APO.0000604400.50700.2d
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Bugra Karasu, Yusuf Berk Akbas, Aslan Aykut, Ali Riza Cenk Çelebi. Subthreshold Photocoagulation, Laser Endpoint Management Based on Optical Coherence Tomography Angiography in Cases of Diabetic Macular Edema Refractory to Anti-VEGFKlinische Monatsblätter für Augenheilkunde 2024; 241(02): 197 doi: 10.1055/a-1792-3009
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Sandhya Dharwadkar, Deepa Ram, Swati Ramakrishna, Shubhratha S. Hegde, M Shilpa. Association of Inflammatory Markers and Diabetic RetinopathyTNOA Journal of Ophthalmic Science and Research 2024; 62(2): 197 doi: 10.4103/tjosr.tjosr_40_24
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Trine Jul Larsen, Marit Eika Jørgensen, Michael Lynge Pedersen, Henrik Lund-Andersen, Stine Byberg. Incidence and prevalence of diabetic retinopathy in the Greenlandic Inuit: A register-based studyDiabetes Epidemiology and Management 2022; 8: 100108 doi: 10.1016/j.deman.2022.100108
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Olle G. Holmberg, Niklas D. Köhler, Thiago Martins, Jakob Siedlecki, Tina Herold, Leonie Keidel, Ben Asani, Johannes Schiefelbein, Siegfried Priglinger, Karsten U. Kortuem, Fabian J. Theis. Self-supervised retinal thickness prediction enables deep learning from unlabelled data to boost classification of diabetic retinopathyNature Machine Intelligence 2020; 2(11): 719 doi: 10.1038/s42256-020-00247-1
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M. Aloysius Dhivya, K.N. Sulochana, S.R. Bharathi Devi. High glucose induced inflammation is inhibited by copper chelation via rescuing mitochondrial fusion protein 2 in retinal pigment epithelial cellsCellular Signalling 2022; 92: 110244 doi: 10.1016/j.cellsig.2022.110244
17
Siddhartha Bose, ArupKumar Bose. Utility of smartphone-based fundus camera device in a social outreach settingEgyptian Retina Journal 2018; 5(1): 21 doi: 10.4103/erj.erj_5_18
18
Noura M Almutairi, Shoroog Alahmadi, Mona Alharbi, Sarah Gotah, Majed Alharbi. The Association Between HbA1c and Other Biomarkers With the Prevalence and Severity of Diabetic RetinopathyCureus 2021;  doi: 10.7759/cureus.12520
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Monika Sethi, Jatin Arora, Vidhu Baggan, Jyoti Verma, Manish Snehi. Next-Generation CybersecurityBlockchain Technologies 2024; : 135 doi: 10.1007/978-981-97-1249-6_7
20
Gülizar Demirok, Mehmet Fatih Kocamaz, Yasemin Topalak, Yeşim Altay, Burcu Tabakci, Ahmet Şengün. Changes in the Macular Ganglion Cell Complex Thickness and Central Macular Thickness after Argon Laser Panretinal PhotocoagulationSeminars in Ophthalmology 2017; 32(6): 759 doi: 10.1080/08820538.2016.1177098
21
Fatemeh Moosaie, Reza Mohamadhosseinzadeh Davatgari, Fatemeh Dehghani Firouzabadi, Sadaf Esteghamati, Niloofar Deravi, Alipasha Meysamie, Pegah Khaloo, Manouchehr Nakhjavani, Alireza Esteghamati. Lipoprotein(a) and Apolipoproteins as Predictors for Diabetic Retinopathy and Its Severity in Adults With Type 2 Diabetes: A Case-Cohort StudyCanadian Journal of Diabetes 2020; 44(5): 414 doi: 10.1016/j.jcjd.2020.01.007
22
Jacqueline Chua, Bingyao Tan, Marcus Ang, Monisha E Nongpiur, Anna Cs Tan, Raymond P Najjar, Dan Milea, Leopold Schmetterer. Future clinical applicability of optical coherence tomography angiographyClinical and Experimental Optometry 2019; 102(3): 260 doi: 10.1111/cxo.12854
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Oscar Perdomo, Sebastian Otalora, Fabio A. Gonzalez, Fabrice Meriaudeau, Henning Muller. OCT-NET: A convolutional network for automatic classification of normal and diabetic macular edema using sd-oct volumes2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) 2018; : 1423 doi: 10.1109/ISBI.2018.8363839
24
Chunyan Lei, Keren Zhang, Tiancong Chang, Qibo Ran, Meixia Zhang. Relationship between renal function and prognosis of Chinese proliferative diabetic retinopathy patients undergoing the first vitrectomy: protocol for a prospective cohort studyBMJ Open 2021; 11(12): e052417 doi: 10.1136/bmjopen-2021-052417
25
Sushil Ojha, Pawani Kukreja, Surbhi Verma. Association of intraocular pressure with blood sugar levels in patients of type 2 diabetes mellitus and control groupTNOA Journal of Ophthalmic Science and Research 2022; 60(4): 294 doi: 10.4103/tjosr.tjosr_38_22
26
Wenying Fan, Akihito Uji, Kang Wang, Khalil Ghasemi Falavarjani, Charles C. Wykoff, David M. Brown, Jano Van Hemert, Min Sagong, Srinivas R. Sadda, Michael Ip. SEVERITY OF DIABETIC MACULAR EDEMA CORRELATES WITH RETINAL VASCULAR BED AREA ON ULTRA-WIDE FIELD FLUORESCEIN ANGIOGRAPHYRetina 2020; 40(6): 1029 doi: 10.1097/IAE.0000000000002579
27
Haitham Y. Al-Nashar, Hany A. Al-Bialy. Correlation between foveal microvasculature and inner retinal layer thickness in type 2 diabetesDelta Journal of Ophthalmology 2022; 23(1): 50 doi: 10.4103/djo.djo_13_21
28
Usharani Bhimavarapu. Diagnosis and multiclass classification of diabetic retinopathy using enhanced multi thresholding optimization algorithms and improved Naive Bayes classifierMultimedia Tools and Applications 2024; 83(34): 81325 doi: 10.1007/s11042-024-18659-1
29
Aitor Eguzkiza, Jesús Daniel Trigo, Miguel Martínez-Espronceda, Luis Serrano, José Andonegui. Formalize clinical processes into electronic health information systems: Modelling a screening service for diabetic retinopathyJournal of Biomedical Informatics 2015; 56: 112 doi: 10.1016/j.jbi.2015.05.017
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Marc Figueras-Roca, Anna Sala-Puigdollers, Javier Zarranz-Ventura, Carmen Alba-Linero, Socorro Alforja, Cristina Esquinas, Blanca Molins, Alfredo Adán. Anatomic Response to Intravitreal Dexamethasone Implant and Baseline Aqueous Humor Cytokine Levels in Diabetic Macular EdemaInvestigative Opthalmology & Visual Science 2019; 60(5): 1336 doi: 10.1167/iovs.18-26215
31
Christy Lyona, Joyce Menezes, Tushar Shinde, Mayura Gavhane, Ragini M. Rohatgi, Satishkumar Chavan. Classification of retinal images in stages of diabetic retinopathy using deep learning2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN) 2020; : 228 doi: 10.1109/ICACCCN51052.2020.9362913
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Mohammad Bagher Hashemi-Soteh, Ali Ahmadzadeh Amiri, Majid Reza Sheikh Rezaee, Amir Ahmadzadeh Amiri, Soleiman Olfat, Ahmad Ahmadzadeh Amiri. Aldose reductase (AC)n gene polymorphism in Iranian patients with type 2 diabetic microangiopathy; a case–control studyDiabetology International 2021; 12(1): 101 doi: 10.1007/s13340-020-00446-6
33
Muhammad Nadeem Ashraf, Muhammad Hussain, Zulfiqar Habib. Deep Red Lesion Classification for Early Screening of Diabetic RetinopathyMathematics 2022; 10(5): 686 doi: 10.3390/math10050686
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Akanksha Gupta, Sonika Bhatnagar. Vasoregression: A Shared Vascular Pathology Underlying Macrovascular And Microvascular Pathologies?OMICS: A Journal of Integrative Biology 2015; 19(12): 733 doi: 10.1089/omi.2015.0128
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Reha Erkoc, Mehmet Ali Cikrikcioglu, Emre Aintab, Aybala Erek Toprak, Ulkan Kilic, Ozlem Gok, Ayse Irem Yasin Cetin, Mehmet Zorlu, Muharrem Kiskac, Mustafa Cakirca, Sena Nur Erkal, Hayati Can Isen, Cumali Karatoprak. GAS6intron 8 c.834 + 7G > A gene polymorphism in diabetic nephropathyRenal Failure 2015; 37(5): 866 doi: 10.3109/0886022X.2015.1034606
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Sohaib A. Virk, Kim C. Donaghue, Tien Y. Wong, Maria E. Craig. Interventions for Diabetic Retinopathy in Type 1 Diabetes: Systematic Review and Meta-AnalysisAmerican Journal of Ophthalmology 2015; 160(5): 1055 doi: 10.1016/j.ajo.2015.07.024
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Ravi Sahukari, Jyothi Punabaka, Shanmugam Bhasha, Venkata S. Ganjikunta, Shanmugam K. Ramudu, Sathyavelu R. Kesireddy. Plant Compounds for the Treatment of Diabetes, a Metabolic Disorder: NF-κB as a Therapeutic TargetCurrent Pharmaceutical Design 2020; 26(39): 4955 doi: 10.2174/1381612826666200730221035
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Elzana Kempen, Mariette Nel, Sherazadh Hatia, Naledi Khanya, Lerato Matsabu, Xolani Nyathela. Diabetic patients’ awareness regarding diabetes mellitus and its ocular complications at the National District Hospital in Bloemfontein, Free State, South AfricaAfrican Vision and Eye Health 2017; 76(1) doi: 10.4102/aveh.v76i1.380
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Wei Zhang, Guiyang Zhao, Weijie Fan, Taihong Zhao. Panretinal photocoagulation after or prior to intravitreal conbercept injection for diabetic macular edema: a retrospective studyBMC Ophthalmology 2021; 21(1) doi: 10.1186/s12886-021-01920-8
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B. Pérez-Pevida, M. Llavero, J. Gargallo, J. Escalada. Complicaciones microvasculares de la diabetesMedicine - Programa de Formación Médica Continuada Acreditado 2016; 12(17): 958 doi: 10.1016/j.med.2016.09.003
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Yatzul Zuhaila Garcia-Rubio, Dulce Milagros Razo Blanco-Hernández, Virgilio Lima-Gómez. Efecto esperado del grosor retiniano después de fotocoagulación focal en edema macular diabéticoCirugía y Cirujanos 2016; 84(5): 356 doi: 10.1016/j.circir.2015.09.011
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Hamidreza Torabi, Mohammad Sadraei, Khosrow Jadidi, Ali-Agha Alishiri. Choroidal thickness changes following cataract surgery in patients with type 2 diabetes mellitusJournal of Current Ophthalmology 2019; 31(1): 49 doi: 10.1016/j.joco.2018.07.004
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Meera F. Iyengar, Luis F. Soto, David Requena, Andrea O. Ruiz-Alejos, Yvonne Huaylinos, Ricardo Velasquez, Antonio Bernabe-Ortiz, Robert H. Gilman. Tear biomarkers and corneal sensitivity as an indicator of neuropathy in type 2 diabetesDiabetes Research and Clinical Practice 2020; 163: 108143 doi: 10.1016/j.diabres.2020.108143
44
Rehana Khan, Abhishek Sharma, Raghul Ravikumar, Avani Parekh, Ramyaa Srinivasan, Ronnie Jacob George, Rajiv Raman. Association Between Gut Microbial Abundance and Sight-Threatening Diabetic RetinopathyInvestigative Opthalmology & Visual Science 2021; 62(7): 19 doi: 10.1167/iovs.62.7.19
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H.S. Hwang, S.Y. Kim, Y.A. Hong, W.K. Cho, Y.K. Chang, S.J. Shin, C.W. Yang, S.Y. Kim, H.E. Yoon. Clinical impact of coexisting retinopathy and vascular calcification on chronic kidney disease progression and cardiovascular eventsNutrition, Metabolism and Cardiovascular Diseases 2016; 26(7): 590 doi: 10.1016/j.numecd.2016.02.005
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Gaurav Kumar, Shraban Chatterjee, Chiranjoy Chattopadhyay. DRISTI: a hybrid deep neural network for diabetic retinopathy diagnosisSignal, Image and Video Processing 2021; 15(8): 1679 doi: 10.1007/s11760-021-01904-7
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Ricardo Lamy, Jay M. Stewart. Biomarkers in DiabetesBiomarkers in Disease: Methods, Discoveries and Applications 2022; : 1 doi: 10.1007/978-3-030-81303-1_51-1
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Xiaoyun He, Chunlin Ou, Yanhua Xiao, Qing Han, Hao Li, Suxian Zhou. LncRNAs: key players and novel insights into diabetes mellitusOncotarget 2017; 8(41): 71325 doi: 10.18632/oncotarget.19921
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Marc Figueras-Roca, Jessica Matas, Víctor Llorens, Anna Sala-Puigdollers, Manuel Navarro, Javier Zarranz-Ventura, Alfredo Adán, Blanca Molins. Systemic contribution of inflammatory mediators to the severity of diabetic and uveitic macular edemaGraefe's Archive for Clinical and Experimental Ophthalmology 2021; 259(9): 2695 doi: 10.1007/s00417-021-05149-5
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Ambaji S. Jadhav, Pushpa B. Patil, Sunil Biradar. Optimal feature selection-based diabetic retinopathy detection using improved rider optimization algorithm enabled with deep learningEvolutionary Intelligence 2021; 14(4): 1431 doi: 10.1007/s12065-020-00400-0
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Filipa Palma, Pedro Camacho. The role of Optical Coherence Tomography Angiography to detect early microvascular changes in Diabetic Retinopathy: a systematic reviewJournal of Diabetes & Metabolic Disorders 2021; 20(2): 1957 doi: 10.1007/s40200-021-00886-0
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Andi Arus Victor. Optic Nerve2019;  doi: 10.5772/intechopen.81221
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Bobak Bahrami, Weiyong Shen, Ling Zhu, Ting Zhang, Andrew Chang, Mark C. Gillies. Effects of VEGF inhibitors on human retinal pigment epithelium under high glucose and hypoxiaClinical & Experimental Ophthalmology 2019; 47(8): 1074 doi: 10.1111/ceo.13579
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Rajya L. Gurung, Liesel M. FitzGerald, Bennet J. McComish, Nitin Verma, Kathryn P. Burdon, Jelizaveta Sokolovska. Identifying Genetic Risk Factors for Diabetic Macular Edema and the Response to TreatmentJournal of Diabetes Research 2020; 2020: 1 doi: 10.1155/2020/5016916
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Asra Momeni Pour, Hadi Seyedarabi, Seyed Hassan Abbasi Jahromi, Alireza Javadzadeh. Automatic Detection and Monitoring of Diabetic Retinopathy Using Efficient Convolutional Neural Networks and Contrast Limited Adaptive Histogram EqualizationIEEE Access 2020; 8: 136668 doi: 10.1109/ACCESS.2020.3005044
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Rosa Dolz-Marco, Rodrigo Abreu-González, Marta Alonso-Plasencia, Roberto Gallego-Pinazo. Treatment decisions in diabetic macular edema based on optical coherence tomography retinal thickness map: LET classificationGraefe's Archive for Clinical and Experimental Ophthalmology 2014; 252(10): 1687 doi: 10.1007/s00417-014-2699-y
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Long Hin Li, Jetty Chung-Yung Lee, Ho Hang Leung, Wai Ching Lam, Zhongjie Fu, Amy Cheuk Yin Lo. Lutein Supplementation for Eye DiseasesNutrients 2020; 12(6): 1721 doi: 10.3390/nu12061721
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Ogugua Ndubuisi Okonkwo, Toyin Akanbi, Chineze Thelma Agweye. Diabetic Eye Disease - From Therapeutic Pipeline to the Real World2022;  doi: 10.5772/intechopen.100157
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Po-Chi Hsu, Pei-Yung Liao, Hen-Hong Chang, John Y. Chiang, Yu-Chuen Huang, Lun-Chien Lo. Nailfold capillary abnormalities are associated with type 2 diabetes progression and correlated with peripheral neuropathyMedicine 2016; 95(52): e5714 doi: 10.1097/MD.0000000000005714
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Jyostna Devi Bodapati, Veeranjaneyulu Naralasetti, Shaik Nagur Shareef, Saqib Hakak, Muhammad Bilal, Praveen Kumar Reddy Maddikunta, Ohyun Jo. Blended Multi-Modal Deep ConvNet Features for Diabetic Retinopathy Severity PredictionElectronics 2020; 9(6): 914 doi: 10.3390/electronics9060914
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Teresa Tsai, Sandra Kuehn, Nikolaos Tsiampalis, Minh-Khoa Vu, Vinodh Kakkassery, Gesa Stute, H. Burkhard Dick, Stephanie C. Joachim, Demetrios G. Vavvas. Anti-inflammatory cytokine and angiogenic factors levels in vitreous samples of diabetic retinopathy patientsPLOS ONE 2018; 13(3): e0194603 doi: 10.1371/journal.pone.0194603
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Sumit Mukherjee, Punyatoya Panda, Monalisa Mishra. Applications of Multifunctional Nanomaterials2023; : 329 doi: 10.1016/B978-0-12-820557-0.00014-X
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Donato Santovito, Lisa Toto, Velia De Nardis, Pamela Marcantonio, Rossella D’Aloisio, Alessandra Mastropasqua, Domenico De Cesare, Marco Bucci, Camilla Paganelli, Lucia Natarelli, Christian Weber, Agostino Consoli, Rodolfo Mastropasqua, Francesco Cipollone. Plasma microRNA signature associated with retinopathy in patients with type 2 diabetesScientific Reports 2021; 11(1) doi: 10.1038/s41598-021-83047-w
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Gerald Selvin, Anney Joseph. Ocular Telehealth2023; : 7 doi: 10.1016/B978-0-323-83204-5.00002-0
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Ying Cui, Min Zhang, Liang Zhang, Lixin Zhang, Jian Kuang, Guanrong Zhang, Qingyang Liu, Haike Guo, Qianli Meng. Prevalence and risk factors for diabetic retinopathy in a cross-sectional population-based study from rural southern China: Dongguan Eye StudyBMJ Open 2019; 9(9): e023586 doi: 10.1136/bmjopen-2018-023586
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Fuat Türk, Nuri Alper Metin, Murat Lüy. Feature Selection in the Diabetes Dataset with the Marine Predator Algorithm and Classification using Machine Learning MethodsGazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji 2024; 12(3): 746 doi: 10.29109/gujsc.1396051
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Lessitha N K, Haleema A, Mohammed Haneef, Shalet Paul. A comparative study of central corneal thickness in patients with diabetes and without diabetes mellitusIP International Journal of Ocular Oncology and Oculoplasty 2024; 9(4): 191 doi: 10.18231/j.ijooo.2023.042
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Sang Youl Rhee, Eun Sung Jung, Hye Min Park, Su Jin Jeong, Kiyoung Kim, Suk Chon, Seung-Young Yu, Jeong-Taek Woo, Choong Hwan Lee. Plasma glutamine and glutamic acid are potential biomarkers for predicting diabetic retinopathyMetabolomics 2018; 14(7) doi: 10.1007/s11306-018-1383-3
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Xiaoyu Deng, Shiqi Wang, Yan Yang, Aizhen Chen, Jinger Lu, Jinkui Hao, Yufei Wu, Qinkang Lu. Reduced macula microvascular densities may be an early indicator for diabetic peripheral neuropathyFrontiers in Cell and Developmental Biology 2022; 10 doi: 10.3389/fcell.2022.1081285
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S. Sadhana, R. Mallika, Anand Paul, Simon K.S. Cheung, Chiung Ching Ho, Sadia Din. An intelligent technique for detection of diabetic retinopathy using improved alexnet model based convoluitonal neural networkJournal of Intelligent & Fuzzy Systems 2021; 40(4): 7623 doi: 10.3233/JIFS-189582
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Dongning Wang, Kaiwei Fan, Zhanpeng He, Xiao Guo, Xia Gong, Kun Xiong, Daheng Wei, Bingbing Chen, Fanxiao Kong, Mochong Liao, Wei Wang, Wenyong Huang, Hua Liu. The relationship between renal function and diabetic retinopathy in patients with type 2 diabetes: A three-year prospective studyHeliyon 2023; 9(4): e14662 doi: 10.1016/j.heliyon.2023.e14662
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GATAC: Gradient and adaptive threshold integrated active contour for Diabetic Macular Edema segmentation2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) 2021; : 1 doi: 10.1109/ICECCT52121.2021.9616936
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Alexandros Papadopoulos, Fotis Topouzis, Anastasios Delopoulos. An interpretable multiple-instance approach for the detection of referable diabetic retinopathy in fundus imagesScientific Reports 2021; 11(1) doi: 10.1038/s41598-021-93632-8
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Elisabetta Schiano, Sabrina Vaccaro, Vincenzo Scorcia, Adriano Carnevali, Massimiliano Borselli, Domenico Chisari, Fabrizia Guerra, Fortuna Iannuzzo, Gian Carlo Tenore, Giuseppe Giannaccare, Ettore Novellino. From Vineyard to Vision: Efficacy of Maltodextrinated Grape Pomace Extract (MaGPE) Nutraceutical Formulation in Patients with Diabetic RetinopathyNutrients 2024; 16(17): 2850 doi: 10.3390/nu16172850
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Rohit Raina, Neha Chhabra, Shruti Barnwal, Shivani Vasisht, Naveen Kumar Kansal, Ravi Kant. Predictability of Nailfold Capillaroscopic Score in Diagnosing Retinopathy in Patients with Type 2 Diabetes Mellitus and its Utility as a Non-Invasive Tool for Differentiating from those Not Having RetinopathyIndian Journal of Dermatology 2023; 68(3): 354 doi: 10.4103/ijd.ijd_289_23
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Samya Mujeeb, Gladys R Rodrigues, Rajesh R Nayak, Ajay R Kamath, Sumana J Kamath, Gurudutt Kamath. Urine protein: Urine creatinine ratio correlation with diabetic retinopathyIndian Journal of Ophthalmology 2021; 69(11): 3359 doi: 10.4103/ijo.IJO_1269_21
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Ricardo Lamy, Jay M. Stewart. Biomarkers in DiabetesBiomarkers in Disease: Methods, Discoveries and Applications 2023; : 963 doi: 10.1007/978-3-031-08014-2_51
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Sachin V. Suryavanshi, Yogesh A. Kulkarni. NF-κβ: A Potential Target in the Management of Vascular Complications of DiabetesFrontiers in Pharmacology 2017; 8 doi: 10.3389/fphar.2017.00798
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Divya Pradhana, N Swathi Priya, George J Manayath, Sucheta Kulkarni, Umesh C Behera, Tushar Agarwal, Manisha Agarwal, Shalin Shah, A Giridhar, Janani Surya, Kim Ramasamy, TP Vignesh, Sivaprasad Shoba, Muna Bhende, Rajiv Raman. Natural course of non-center-involving diabetic macular edema progression in patients under initial observationIndian Journal of Ophthalmology 2024; 72(2): 236 doi: 10.4103/IJO.IJO_2182_22
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Nouar AlDahoul, Hezerul Abdul Karim, Myles Joshua Toledo Tan, Mhd Adel Momo, Jamie Ledesma Fermin. Encoding Retina Image to Words using Ensemble of Vision Transformers for Diabetic Retinopathy GradingF1000Research 2021; 10: 948 doi: 10.12688/f1000research.73082.1
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Kun Shan, Chao-Peng Li, Chang Liu, Xin Liu, Biao Yan. RNCR3: A regulator of diabetes mellitus-related retinal microvascular dysfunctionBiochemical and Biophysical Research Communications 2017; 482(4): 777 doi: 10.1016/j.bbrc.2016.11.110
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Ceren Kaya, Okan Erkaymaz, Orhan Ayar, Mahmut Özer. Impact of hybrid neural network on the early diagnosis of diabetic retinopathy disease from video-oculography signalsChaos, Solitons & Fractals 2018; 114: 164 doi: 10.1016/j.chaos.2018.06.034
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Alice Matimba, Richmond Woodward, Ernest Tambo, Michele Ramsay, Lovemore Gwanzura, Solomon Guramatunhu. Tele-ophthalmology: Opportunities for improving diabetes eye care in resource- and specialist-limited Sub-Saharan African countriesJournal of Telemedicine and Telecare 2016; 22(5): 311 doi: 10.1177/1357633X15604083
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A. V. Shevchenko, V. F. Prokof`ev, V. I. Konenkov, V. V. Klimontov, D. V. Chernykh, A. N. Trunov, A. V. Eremina, V. V. Chernykh. VEGF and eNOS genes polymorphism features in patients with diabetes mellitus with and without initial non-proliferative diabetic retinopathyActa Biomedica Scientifica 2021; 6(6-1): 144 doi: 10.29413/ABS.2021-6.6-1.17
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Abdul Khalique, Amjad Hussain Rizvi, . MS Fahmi, Muhammed Qamar Khan, Abdul Nasir, Rasheed Ahmed Khan, Mahboob Ali, Afsha Bibi. Correlation of Risk Factors with the Severity of Diabetic Retinopathy at a Rural Health Facility in Sindh PakistanPakistan Journal of Health Sciences 2023; : 67 doi: 10.54393/pjhs.v4i08.989
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Mark J. J. P. van Grinsven, Thomas Theelen, Leonard Witkamp, Job van der Heijden, Johannes P. H. van de Ven, Carel B. Hoyng, Bram van Ginneken, Clara I. Sánchez. Automatic differentiation of color fundus images containing drusen or exudates using a contextual spatial pyramid approachBiomedical Optics Express 2016; 7(3): 709 doi: 10.1364/BOE.7.000709
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Ana R. Santiago, Raquel Boia, Inês D. Aires, António F. Ambrósio, Rosa Fernandes. Sweet Stress: Coping With Vascular Dysfunction in Diabetic RetinopathyFrontiers in Physiology 2018; 9 doi: 10.3389/fphys.2018.00820
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Tsumugi Iida, Takumi Komatsu, Kanta Kaneda, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura. Computer Vision – ACCV 2022Lecture Notes in Computer Science 2023; 13842: 475 doi: 10.1007/978-3-031-26284-5_29
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