BPG is committed to discovery and dissemination of knowledge
Cited by in CrossRef
For: Romero-Aroca P. Current status in diabetic macular edema treatments. World J Diabetes 2013; 4(5): 165-169 [PMID: 24147200 DOI: 10.4239/wjd.v4.i5.165]
URL: https://www.wjgnet.com/1948-9358/full/v4/i5/165.htm
Number Citing Articles
1
Hermelino O. Neto, Caio V. Regatieri, Mário J. Nobrega, Cristina Muccioli, Antonio M. Casella, Rafael E. Andrade, Mauricio Maia, Vinicius Kniggendorf, Magno Ferreira, André C. Branco, Rubens Belfort. Multicenter, Randomized Clinical Trial to Assess the Effectiveness of Intravitreal Injections of Bevacizumab, Triamcinolone, or Their Combination in the Treatment of Diabetic Macular EdemaOphthalmic Surgery, Lasers and Imaging Retina 2017; 48(9): 734 doi: 10.3928/23258160-20170829-08
2
Ian Pearce, Sanjiv Banerjee, Ben J.L. Burton, Usha Chakravarthy, Louise Downey, Richard P. Gale, Jonathan Gibson, Sergio Pagliarini, Jignesh Patel, Sobha Sivaprasad, Chris Andrews, Christopher Brittain, James Warburton. Ranibizumab 0.5 mg for Diabetic Macular Edema with Bimonthly Monitoring after a Phase of Initial TreatmentOphthalmology 2015; 122(9): 1811 doi: 10.1016/j.ophtha.2015.05.038
3
Qingge Ji, Jie Huang, Wenjie He, Yankui Sun. Optimized Deep Convolutional Neural Networks for Identification of Macular Diseases from Optical Coherence Tomography ImagesAlgorithms 2019; 12(3): 51 doi: 10.3390/a12030051
4
Kyamelia Roy, Sheli Sinha Chaudhuri, Probhakar Roy, Sankhadeep Chatterjee, Soumen Banerjee. Intelligent Computing: Image Processing Based ApplicationsAdvances in Intelligent Systems and Computing 2020; 1157: 153 doi: 10.1007/978-981-15-4288-6_10
5
Maidina Nabijiang, Xinjuan Wan, Shengsong Huang, Qi Liu, Bixia Wei, Jianing Zhu, Xiaodong Xie. BAM: Block attention mechanism for OCT image classificationIET Image Processing 2022; 16(5): 1376 doi: 10.1049/ipr2.12415
6
Feng Li, Hua Chen, Zheng Liu, Xuedian Zhang, Zhizheng Wu. Fully automated detection of retinal disorders by image-based deep learningGraefe's Archive for Clinical and Experimental Ophthalmology 2019; 257(3): 495 doi: 10.1007/s00417-018-04224-8
7
Hoang M. Trinh, Kishore Cholkar, Mary Joseph, Xiaoyan Yang, Ashim K. Mitra. Clear, Aqueous Topical Drop of Triamcinolone AcetonideAAPS PharmSciTech 2017; 18(7): 2466 doi: 10.1208/s12249-017-0714-4
8
Johanna J. Zirpel, Isabel B. Pfister, Christin Gerhardt, Justus G. Garweg. Long-term outcomes of intravitreal therapy for symptomatic diabetic macular oedema in a real-world setting in SwitzerlandGraefe's Archive for Clinical and Experimental Ophthalmology 2021; 259(12): 3569 doi: 10.1007/s00417-021-05187-z
9
Priti Bansal, Nipun Harjai, Mohammad Saif, Saahil Hussain Mugloo, Preeti Kaur. Utilization of big data classification models in digitally enhanced optical coherence tomography for medical diagnosticsNeural Computing and Applications 2024; 36(1): 225 doi: 10.1007/s00521-022-07973-0
10
Kang Xiao, Shi-Jia Weng, Shen-Zhi Liang, Jiong Wang, Cheng Qian, Guang-Ming Wan. Effect of Intravitreal Bevacizumab with or without Macular Photocoagulation for Diabetic Macular Edema: A Meta-AnalysisDiabetes Therapy 2018; 9(6): 2369 doi: 10.1007/s13300-018-0526-x
11
Lianghui Xu, Liejun Wang, Shuli Cheng, Yongming Li, Jie Zhang. MHANet: A hybrid attention mechanism for retinal diseases classificationPLOS ONE 2021; 16(12): e0261285 doi: 10.1371/journal.pone.0261285
12
Akira Watanabe, Akane Tsuzuki, Kota Arai, Tamaki Gekka, Kenichi Kohzaki, Hiroshi Tsuneoka. Efficacy of Intravitreal Triamcinolone Acetonide for Diabetic Macular Edema After VitrectomyJournal of Ocular Pharmacology and Therapeutics 2016; 32(1): 38 doi: 10.1089/jop.2015.0045
13
Ilkay K. Muftuoglu, Erkan Unsal, Zeynep K. Ozturker. Restoration of Photoreceptors in Eyes with Diabetic Macular EdemaEuropean Journal of Ophthalmology 2017; 27(5): 585 doi: 10.5301/ejo.5000907
14
Philipp L. Müller, Sebastian Wolf, Rosa Dolz-Marco, Ali Tafreshi, Steffen Schmitz-Valckenberg, Frank G. Holz. High Resolution Imaging in Microscopy and Ophthalmology2019; : 87 doi: 10.1007/978-3-030-16638-0_4
15
Andrea Cacciamani, Mariacristina Parravano, Fabio Scarinci, Graziana Esposito, Monica Varano, Alessandra Micera. A Simple Spontaneous Vitreal Reflux Collecting Procedure During Intravitreal Injection: Set-Up and Validation StudiesCurrent Eye Research 2016; 41(7): 971 doi: 10.3109/02713683.2015.1080282
16
Depeng Wang, Liejun Wang. On OCT Image Classification via Deep LearningIEEE Photonics Journal 2019; 11(5): 1 doi: 10.1109/JPHOT.2019.2934484
17
Jayanthi P, Krishnamoorthy N, Sridharan S, Tamilkumar R, Yokesh P. An Enhanced Technique To Classify OCT Images Using Deep Learning2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) 2023; : 1 doi: 10.1109/ICEEICT56924.2023.10157652
18
Javeria Amin, Muhammad Sharif, Mussarat Yasmin. A Review on Recent Developments for Detection of Diabetic RetinopathyScientifica 2016; 2016: 1 doi: 10.1155/2016/6838976
19
Liting Hu, Qiulu Chen, Zhaodong Du, Wenying Wang, Guiqiu Zhao. Evaluation of vitrectomy combined preoperative intravitreal ranibizumab and postoperative intravitreal triamcinolone acetonide for proliferative diabetic retinopathyInternational Ophthalmology 2021; 41(5): 1635 doi: 10.1007/s10792-021-01703-6
20
S. P. K. Karri, Debjani Chakraborty, Jyotirmoy Chatterjee. Transfer learning based classification of optical coherence tomography images with diabetic macular edema and dry age-related macular degenerationBiomedical Optics Express 2017; 8(2): 579 doi: 10.1364/BOE.8.000579
21
Pan Long, Weiming Yan, Mengshan He, Qianli Zhang, Zhe Wang, Manhong Li, Junhui Xue, Tao Chen, Jing An, Zuoming Zhang. Protective effects of hydrogen gas in a rat model of branch retinal vein occlusion via decreasing VEGF-α expressionBMC Ophthalmology 2019; 19(1) doi: 10.1186/s12886-019-1105-2