Indian Diabetic Retinopathy Image Dataset (IDRiD): A Database for Diabetic Retinopathy Screening Research von Porwal, Prasanna, Pachade, Samiksha, Kamble, Ravi, Kokare, Manesh, Deshmukh, Girish, Sahasrabuddhe, Vivek, Meriaudeau, Fabrice

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Retinal Fundus Multi-Disease Image Dataset (RFMiD): A Dataset for Multi-Disease Detection Research von Pachade, Samiksha, Porwal, Prasanna, Thulkar, Dhanshree, Kokare, Manesh, Deshmukh, Girish, Sahasrabuddhe, Vivek, Giancardo, Luca, Quellec, Gwenolé, Mériaudeau, Fabrice

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Synthetic OCT-A blood vessel maps using fundus images and generative adversarial networks von Coronado, Ivan, Pachade, Samiksha, Trucco, Emanuele, Abdelkhaleq, Rania, Yan, Juntao, Salazar-Marioni, Sergio, Jagolino-Cole, Amanda, Bahrainian, Mozhdeh, Channa, Roomasa, Sheth, Sunil A., Giancardo, Luca

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Author Correction: Synthetic OCT-A blood vessel maps using fundus images and generative adversarial networks von Coronado, Ivan, Pachade, Samiksha, Trucco, Emanuele, Abdelkhaleq, Rania, Yan, Juntao, Salazar‑Marioni, Sergio, Jagolino‑Cole, Amanda, Bahrainian, Mozhdeh, Channa, Roomasa, Sheth, Sunil A., Giancardo, Luca

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Retinal Fundus Multi-Disease Image Dataset (RFMiD) 2.0: A Dataset of Frequently and Rarely Identified Diseases von Panchal, Sachin, Naik, Ankita, Kokare, Manesh, Pachade, Samiksha, Naigaonkar, Rushikesh, Phadnis, Prerana, Bhange, Archana

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A self-supervised learning approach for registration agnostic imaging models with 3D brain CTA von Dong, Yingjun, Pachade, Samiksha, Liang, Xiaomin, Sheth, Sunil A., Giancardo, Luca

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NENet: Nested EfficientNet and adversarial learning for joint optic disc and cup segmentation von Pachade, Samiksha, Porwal, Prasanna, Kokare, Manesh, Giancardo, Luca, Mériaudeau, Fabrice

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Generalizable self-supervised learning for brain CTA in acute stroke von Dong, Yingjun, Pachade, Samiksha, Roberts, Kirk, Jiang, Xiaoqian, Sheth, Sunil A., Giancardo, Luca

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IDRiD: Diabetic Retinopathy – Segmentation and Grading Challenge von Porwal, Prasanna, Pachade, Samiksha, Kokare, Manesh, Deshmukh, Girish, Son, Jaemin, Bae, Woong, Liu, Lihong, Wang, Jianzong, Liu, Xinhui, Gao, Liangxin, Wu, TianBo, Xiao, Jing, Wang, Fengyan, Yin, Baocai, Wang, Yunzhi, Danala, Gopichandh, He, Linsheng, Choi, Yoon Ho, Lee, Yeong Chan, Jung, Sang-Hyuk, Li, Zhongyu, Sui, Xiaodan, Wu, Junyan, Li, Xiaolong, Zhou, Ting, Toth, Janos, Baran, Agnes, Kori, Avinash, Chennamsetty, Sai Saketh, Safwan, Mohammed, Alex, Varghese, Lyu, Xingzheng, Cheng, Li, Chu, Qinhao, Li, Pengcheng, Ji, Xin, Zhang, Sanyuan, Shen, Yaxin, Dai, Ling, Saha, Oindrila, Sathish, Rachana, Melo, Tânia, Araújo, Teresa, Harangi, Balazs, Sheng, Bin, Fang, Ruogu, Sheet, Debdoot, Hajdu, Andras, Zheng, Yuanjie, Mendonça, Ana Maria, Zhang, Shaoting, Campilho, Aurélio, Zheng, Bin, Shen, Dinggang, Giancardo, Luca, Quellec, Gwenolé, Mériaudeau, Fabrice

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Retinal vasculature segmentation and measurement framework for color fundus and SLO images von Pachade, Samiksha, Porwal, Prasanna, Kokare, Manesh, Giancardo, Luca, Meriaudeau, Fabrice

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Retinal image analysis for disease screening through local tetra patterns von Porwal, Prasanna, Pachade, Samiksha, Kokare, Manesh, Giancardo, Luca, Mériaudeau, Fabrice

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RFMiD: Retinal Image Analysis for multi-Disease Detection challenge von Pachade, Samiksha, Porwal, Prasanna, Kokare, Manesh, Deshmukh, Girish, Sahasrabuddhe, Vivek, Luo, Zhengbo, Han, Feng, Sun, Zitang, Qihan, Li, Kamata, Sei-ichiro, Ho, Edward, Wang, Edward, Sivajohan, Asaanth, Youn, Saerom, Lane, Kevin, Chun, Jin, Wang, Xinliang, Gu, Yunchao, Lu, Sixu, Oh, Young-tack, Park, Hyunjin, Lee, Chia-Yen, Yeh, Hung, Cheng, Kai-Wen, Wang, Haoyu, Ye, Jin, He, Junjun, Gu, Lixu, Müller, Dominik, Soto-Rey, Iñaki, Kramer, Frank, Arai, Hidehisa, Ochi, Yuma, Okada, Takami, Giancardo, Luca, Quellec, Gwenolé, Mériaudeau, Fabrice

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Detection of Stroke with Retinal Microvascular Density and Self-Supervised Learning Using OCT-A and Fundus Imaging von Pachade, Samiksha, Coronado, Ivan, Abdelkhaleq, Rania, Yan, Juntao, Salazar-Marioni, Sergio, Jagolino, Amanda, Green, Charles, Bahrainian, Mozhdeh, Channa, Roomasa, Sheth, Sunil A, Giancardo, Luca

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Retinal Fundus Multi-Disease Image Dataset (RFMiD) 2.0 von Panchal, Sachin Panchal, Naik, Ankita Naik, Kokare, Manesh Kokare, Pachade, Samiksha Pachade, Naigaonkar, Rushikesh Naigaonkar, Phadnis, Prerana Phadnis, Bhange, Archana Bhange

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A Novel Method to Detect Fovea from Color Fundus Images von Pachade, Samiksha, Porwal, Prasanna, Kokare, Manesh

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Laser Scar Classification in Retinal Fundus Images Using Wavelet Transform and Local Variance von Raut, Rashmi, Sapate, Visharad, Rokde, Abhay, Pachade, Samiksha, Porwal, Prasanna, Kokare, Manesh

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Retinal Fundus Multi-Disease Image Dataset (RFMiD) 2.0 von Panchal, Sachin, Naik, Ankita, Kokare, Manesh, Pachade, Samiksha, Rushikesh Naigaonkar, Prerana Phadnis, Bhange, Archana

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A Novel Unsupervised Framework for Retinal Vasculature Segmentation von Pachade, Samiksha, Porwal, Prasanna, Kokare, Manesh

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Retinal Fundus Multi-disease Image Dataset (RFMiD) von Pachade, Samiksha, Porwal, Prasanna, Thulkar, Dhanshree, Kokare, Manesh, Deshmukh, Girish, Sahasrabuddhe, Vivek, Giancardo, Luca, Quellec, Gwenolé, Mériaudeau, Fabrice

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Retinal Fundus Multi-disease Image Dataset (RFMiD) von Pachade, Samiksha, Porwal, Prasanna, Thulkar, Dhanshree, Kokare, Manesh, Deshmukh, Girish, Sahasrabuddhe, Vivek, Giancardo, Luca, Quellec, Gwenolé, Mériaudeau, Fabrice

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