Patent foramen ovale closure in ischemic stroke patients with and without thrombophilia: a systematic review and meta-analyses von Lim, Xue Yang, Gao, Nicholas LX, Lee, Wynne Yu, Neo, Jia Hui, Tan, Alethea HE, Sia, Ching-Hui, Sharma, Vijay K, Yeo, Leonard LL, Lim, Yinghao, Lin, Chee Yen, Ho, Jamie Sin Ying, Tan, Benjamin YQ

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Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes von Ting, Daniel Shu Wei, Cheung, Carol Yim-Lui, Lim, Gilbert, Tan, Gavin Siew Wei, Quang, Nguyen D, Gan, Alfred, Hamzah, Haslina, Garcia-Franco, Renata, San Yeo, Ian Yew, Lee, Shu Yen, Wong, Edmund Yick Mun, Sabanayagam, Charumathi, Baskaran, Mani, Ibrahim, Farah, Tan, Ngiap Chuan, Finkelstein, Eric A, Lamoureux, Ecosse L, Wong, Ian Y, Bressler, Neil M, Sivaprasad, Sobha, Varma, Rohit, Jonas, Jost B, He, Ming Guang, Cheng, Ching-Yu, Cheung, Gemmy Chui Ming, Aung, Tin, Hsu, Wynne, Lee, Mong Li, Wong, Tien Yin

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A deep-learning system for the assessment of cardiovascular disease risk via the measurement of retinal-vessel calibre von Cheung, Carol Y., Xu, Dejiang, Cheng, Ching-Yu, Sabanayagam, Charumathi, Tham, Yih-Chung, Yu, Marco, Rim, Tyler Hyungtaek, Chai, Chew Yian, Gopinath, Bamini, Mitchell, Paul, Poulton, Richie, Moffitt, Terrie E., Caspi, Avshalom, Yam, Jason C., Tham, Clement C., Jonas, Jost B., Wang, Ya Xing, Song, Su Jeong, Burrell, Louise M., Farouque, Omar, Li, Ling Jun, Tan, Gavin, Ting, Daniel S. W., Hsu, Wynne, Lee, Mong Li, Wong, Tien Y.

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A deep learning algorithm to detect chronic kidney disease from retinal photographs in community-based populations von Sabanayagam, Charumathi, Xu, Dejiang, Ting, Daniel S W, Nusinovici, Simon, Banu, Riswana, Hamzah, Haslina, Lim, Cynthia, Tham, Yih-Chung, Cheung, Carol Y, Tai, E Shyong, Wang, Ya Xing, Jonas, Jost B, Cheng, Ching-Yu, Lee, Mong Li, Hsu, Wynne, Wong, Tien Y

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Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes von Betzler, Bjorn Kaijun, Chee, Evelyn Yi Lyn, He, Feng, Lim, Cynthia Ciwei, Ho, Jinyi, Hamzah, Haslina, Tan, Ngiap Chuan, Liew, Gerald, McKay, Gareth J, Hogg, Ruth E, Young, Ian S, Cheng, Ching-Yu, Lim, Su Chi, Lee, Aaron Y, Wong, Tien Yin, Lee, Mong Li, Hsu, Wynne, Tan, Gavin Siew Wei, Sabanayagam, Charumathi

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Association between deep learning measured retinal vessel calibre and incident myocardial infarction in a retrospective cohort from the UK Biobank von Wong, Yiu Lun, Yu, Marco, Chong, Crystal, Yang, Dawei, Xu, Dejiang, Lee, Mong Li, Hsu, Wynne, Wong, Tien Y, Cheng, Chingyu, Cheung, Carol Y

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Deep learning in estimating prevalence and systemic risk factors for diabetic retinopathy: a multi-ethnic study von Ting, Daniel S. W., Cheung, Carol Y., Nguyen, Quang, Sabanayagam, Charumathi, Lim, Gilbert, Lim, Zhan Wei, Tan, Gavin S. W., Soh, Yu Qiang, Schmetterer, Leopold, Wang, Ya Xing, Jonas, Jost B., Varma, Rohit, Lee, Mong Li, Hsu, Wynne, Lamoureux, Ecosse, Cheng, Ching-Yu, Wong, Tien Yin

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Design and Baseline Characteristics of the Finerenone in Reducing Cardiovascular Mortality and Morbidity in Diabetic Kidney Disease Trial von Ruilope, Luis M., Agarwal, Rajiv, Anker, Stefan D., Bakris, George L., Filippatos, Gerasimos, Nowack, Christina, Kolkhof, Peter, Joseph, Amer, Mentenich, Nicole, Pitt, Bertram

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Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathy von Yip, Michelle Y. T., Lim, Gilbert, Lim, Zhan Wei, Nguyen, Quang D., Chong, Crystal C. Y., Yu, Marco, Bellemo, Valentina, Xie, Yuchen, Lee, Xin Qi, Hamzah, Haslina, Ho, Jinyi, Tan, Tien-En, Sabanayagam, Charumathi, Grzybowski, Andrzej, Tan, Gavin S. W., Hsu, Wynne, Lee, Mong Li, Wong, Tien Yin, Ting, Daniel S. W.

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Feasting in fresh water: impacts of food concentration on freshwater tolerance and the evolution of food × salinity response during the expansion from saline into fresh water habit... von Lee, Carol Eunmi, Moss, Wynne E., Olson, Nora, Chau, Kevin Fongching, Chang, Yu‐Mei, Johnson, Kelsey E.

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Acute paediatric mastoiditis in the UK before and during the COVID‐19 pandemic: A national observational study von Smith, Matthew E., Jones, G. Huw, Hardman, John C., Nichani, Jaya, Khwaja, Sadie, Bruce, Iain A., Rea, Peter, Dewhurst, Samuel, Whitehall, Emma J, Donaldson, Gavin, Siddiqi, Noshin, Wooles, Nicola, Gopala Krishnan, Srinish, Selwyn, David, Constable, James D, Yousef, Ahmed, Yu, Beverley, McClenaghan, Fiona, Mowat, Andrew, Elmorsy, Mohamed, Brimioulle, Marina, Sakagiannis, Georgios, Mattias, Bassem, Kenyon, Olivia, Kaleva, Anna I, Harrison, Anna, Mathew, Elizabeth, Wright, Oliver J, Steven, Richard A, Collins, Rachael, Yap, Darren, Sethukumar, Priya, Ghasemi, Aria Amir, Conybeare, Alison, Jama, Guled M., Liu, Alison, Li, Lucy Qian, Gomati, Anas, Flynn, William, Connon, Christopher, Oh, Soo, Wright, Brendan, James McCaffer, Craig, R Lancer, Hannah, Lowe, Emily, Chew, Dylan, Ioannidis, Dimitrios, Zubair, Arshad, Forde, Cillian T, Watts, Emma, Loroch, Anna, Burton, Laura, Yao, Alexander, Emerson, Hannah, Sarwar, Safdar, Ali, Faiza, Bance, Manohar L, Krishnan, Madhankumar, Smyth, Cathy, Spencer, Cheka, Takwoingi, Yohanna, Strachan, David, Robinson, Philip J, Harding, Laura, Temple, Robert, Dugar, Jayant, Nash, Robert, Janjua, Arshad, Thomas, George, Bottrill, Ian, Vijendren, Ananth, Singh, Pranay, Hunt, Alison, Mitchell‐Innes, Alistair, Spielmann, Patrick M, Phillips, John, Supriya, Mrinal, Majithia, Anooj, Sproson, Eleanor, Lee, Patrick, Kumar, Gaurav, Nair, Dilip, Sharma, Alok, Wynne, David, Kumar Bhimrao, Sanjiv, Jackson, Conor, McLarnon, Claire, Weller, Matthew, Geyer, Marcel, Gupta, Sanjeev, Mitchell, Timothy, Khalid‐Raja, Mamoona, Seymour, Kay, Shaida, Azhar, Hoskison, Emma, Iyer, Arunachalam, Hall, Andrew, Simmons, Mark, Allam, Ahmed, Moore, Phillip

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Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathy von Yip, Michelle Y T, Lim, Gilbert, Lim, Zhan Wei, Nguyen, Quang D, Chong, Crystal C Y, Yu, Marco, Bellemo, Valentina, Xie, Yuchen, Lee, Xin Qi, Hamzah, Haslina, Ho, Jinyi, Tan, Tien-En, Sabanayagam, Charumathi, Grzybowski, Andrzej, Tan, Gavin S W, Hsu, Wynne, Lee, Mong Li, Wong, Tien Yin, Ting, Daniel S W

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Artificial Intelligence Using Deep Learning in Classifying Side of the Eyes and Width of Field for Retinal Fundus Photographs von Bellemo, Valentina, Yip, Michelle Yuen Ting, Xie, Yuchen, Lee, Xin Qi, Nguyen, Quang Duc, Hamzah, Haslina, Ho, Jinyi, Lim, Gilbert, Xu, Dejiang, Lee, Mong Li, Hsu, Wynne, Garcia-Franco, Renata, Menon, Geeta, Lamoureux, Ecosse, Cheng, Ching-Yu, Wong, Tien Yin, Ting, Daniel Shu Wei

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Assessing Information Quality by Six Sigma Method von Lee, Sang Hyun, Haider, Abrar

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SNNB: A Selective Neighborhood Based Naïve Bayes for Lazy Learning von Xie, Zhipeng, Hsu, Wynne, Liu, Zongtian, Lee, Mong Li

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Double or nothing virtual containers von Lee Kevin, Yu Christopher, McNeill David, Akpan Inyang, Chyou Wynne

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Double or nothing virtual containers von Lee Kevin, Yu Christopher, McNeill David, Akpan Inyang, Chyou Wynne

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FARM : Feature-Assisted Aggregate Route Mining in Trajectory Data von Kashyap, S., Roy, S., Mong Li lee, Hsu, W.

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Analyzing Abnormal Events from Spatio-temporal Trajectories von Patel, D., Bhatt, C., Hsu, W., Mong Li Lee, Kankanhalli, M.

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Data from: Feasting in fresh water: impacts of food concentration on freshwater tolerance and the evolution of food x salinity response during the expansion from saline into fresh... von Lee, Carol Eunmi, Moss, Wynne E., Olson, Nora, Chau, Kevin Fongching, Chang, Yu-Mei, Johnson, Kelsey E.

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