Effect of surface inclination on vertical loading rate and footstrike pattern in trail and road runners von Selvakumar, Sharon, Li, Sin Ming, Fahey, Paul, Cheung, Roy T. H.

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QoS based power allocation in 5G wireless networks von Selvakumar, Blessy Sharon Gem Johnson, Soman, Shibu, Chandran, Ramesh Kumar, Raja, Ashok, Devarajan, Badri Narayanan, Thandapani, Murugavel

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Alarmin function of galectin-9 in murine respiratory tularemia von Steichen, Anthony L, Simonson, Tanner J, Salmon, Sharon L, Metzger, Dennis W, Mishra, Bibhuti B, Sharma, Jyotika

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Artificial Intelligence to Detect Papilledema from Ocular Fundus Photographs von Milea, Dan, Najjar, Raymond P, Zhubo, Jiang, Ting, Daniel, Vasseneix, Caroline, Xu, Xinxing, Aghsaei Fard, Masoud, Fonseca, Pedro, Vanikieti, Kavin, Lagrèze, Wolf A, La Morgia, Chiara, Cheung, Carol Y, Hamann, Steffen, Chiquet, Christophe, Sanda, Nicolae, Yang, Hui, Mejico, Luis J, Rougier, Marie-Bénédicte, Kho, Richard, Thi Ha Chau, Tran, Singhal, Shweta, Gohier, Philippe, Clermont-Vignal, Catherine, Cheng, Ching-Yu, Jonas, Jost B, Yu-Wai-Man, Patrick, Fraser, Clare L, Chen, John J, Ambika, Selvakumar, Miller, Neil R, Liu, Yong, Newman, Nancy J, Wong, Tien Y, Biousse, Valérie

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Gender inequalities in familial hypercholesterolemia - single center experience from Singapore von Dissanayake, Sanjaya, Hoe, Jeremy, Pek, Sharon, Zulkifli, Atiqa, Selvakumar, Madhuumetaa, Tavintharan, Subramaniam

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Study on knowledge, attitude, and practices of general public toward antimicrobial use and antimicrobial resistance von Suresh, Tharini, Selvakumar, Gomathi, A, Renuka, J, Sharon

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Optic Disc Classification by Deep Learning versus Expert Neuro‐Ophthalmologists von Biousse, Valérie, Newman, Nancy J., Najjar, Raymond P., Vasseneix, Caroline, Xu, Xinxing, Ting, Daniel S., Milea, Léonard B., Hwang, Jeong‐Min, Kim, Dong Hyun, Yang, Hee Kyung, Hamann, Steffen, Chen, John J., Liu, Yong, Wong, Tien Yin, Milea, Dan, Rondé‐Courbis, Barnabé, Gohier, Philippe, Biousse, Valérie, Newman, Nancy J., Vasseneix, Caroline, Miller, Neil, Padungkiatsagul, Tanyatuth, Poonyathalang, Anuchit, Suwan, Yanin, Vanikieti, Kavin, Milea, Leonard B, Amore, Giulia, Barboni, Piero, Carbonelli, Michele, Carelli, Valerio, La Morgia, Chiara, Romagnoli, Martina, Rougier, Marie‐Bénédicte, Ambika, Selvakumar, Komma, Swetha, Fonseca, Pedro, Raimundo, Miguel, Hamann, Steffen, Karlesand, Isabelle, Alexander Lagrèze, Wolf, Sanda, Nicolae, Thumann, Gabriele, Aptel, Florent, Chiquet, Christophe, Liu, Kaiqun, Yang, Hui, Chan, Carmen KM, Chan, Noel CY, Cheung, Carol Y, Chau Tran, Thi Ha, Acheson, James, Habib, Maged S, Jurkute, Neringa, Yu‐Wai‐Man, Patrick, Kho, Richard, Jonas, Jost B, Chen, John J., Sabbagh, Nouran, Vignal‐Clermont, Catherine, Hage, Rabih, Khanna, Raoul K, Hwang, Jeong‐Min, Kim, Dong Hyun, Yang, Hee Kyung, Aung, Tin, Cheng, Ching‐Yu, Lamoureux, Ecosse, Loo, Jing Liang, Milea, Dan, Najjar, Raymond P, Singhal, Shweta, Ting, Daniel, Tow, Sharon, Vasseneix, Caroline, Wong, Tien Yin, Liu, Yong, Xu, Xinxing, Jiang, Zhubo, Fraser, Clare L, Mejico, Luis J., Fard, Masoud Aghsaei

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Accuracy of a Deep Learning System for Classification of Papilledema Severity on Ocular Fundus Photographs von Vasseneix, Caroline, Najjar, Raymond P., Xu, Xinxing, Tang, Zhiqun, Loo, Jing Liang, Singhal, Shweta, Tow, Sharon, Milea, Leonard, Ting, Daniel Shu Wei, Liu, Yong, Wong, Tien Y., Newman, Nancy J., Biousse, Valerie, Milea, Dan

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Application of a Deep Learning System to Detect Papilledema on Nonmydriatic Ocular Fundus Photographs in an Emergency Department von Biousse, Valérie, Najjar, Raymond P., Tang, Zhiqun, Lin, Mung Yan, Wright, David W., Keadey, Matthew T., Wong, Tien Y., Bruce, Beau B., Milea, Dan, Newman, Nancy J., Fraser, Clare L., Micieli, Jonathan A., Costello, Fiona, Bénard-Séguin, Étienne, Yang, Hui, Chan, Carmen Kar Mun, Cheung, Carol Y, Chan, Noel CY, Hamann, Steffen, Gohier, Philippe, Vautier, Anaïs, Rougier, Marie-Bénédicte, Chiquet, Christophe, Vignal-Clermont, Catherine, Hage, Rabih, Khanna, Raoul Kanav, Tran, Thi Ha Chau, Lagrèze, Wolf Alexander, Jonas, Jost B, Ambika, Selvakumar, Fard, Masoud Aghsaei, La Morgia, Chiara, Carbonelli, Michele, Barboni, Piero, Carelli, Valerio, Romagnoli, Martina, Amore, Giulia, Nakamura, Makoto, Fumio, Takano, Petzold, Axel, Wenniger lj, Maillette de Buy, Kho, Richard, Fonseca, Pedro L., Bikbov, Mukharram M., Milea, Dan, Najjar, Raymond P, Ting, Daniel, Tang, Zhiqun, Loo, Jing Liang, Tow, Sharon, Singhal, Shweta, Vasseneix, Caroline, Wong, Tien Yin, Lamoureux, Ecosse, Yu Chen, Ching, Aung, Tin, Schmetterer, Leopold, Sanda, Nicolae, Thuman, Gabriele, Hwang, Jeong-Min, Vanikieti, Kavin, Suwan, Yanin, Padungkiatsagul, Tanyatuth, Yu-Wai-Man, Patrick, Jurkute, Neringa, Hong, Eun Hee, Biousse, Valerie, Newman, Nancy J., Peragallo, Jason H., Datillo, Michael, Kedar, Sachin, Lin, Mung Yan, Patil, Ajay, Aung, Andre, Boyko, Matthew, Alsakran, Wael Abdulraman, Zayani, Amani, Bouthour, Walid, Banc, Ana, Mosley, Rasha, Labella, Fernando, Miller, Neil R., Chen, John J., Mejico, Luis J., Kilangalanga, Janvier Ngoy

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Deep Learning System Outperforms Clinicians in Identifying Optic Disc Abnormalities von Vasseneix, Caroline, Nusinovici, Simon, Xu, Xinxing, Hwang, Jeong-Min, Hamann, Steffen, Chen, John J., Loo, Jing Liang, Milea, Leonard, Tan, Kenneth B.K., Ting, Daniel S.W., Liu, Yong, Newman, Nancy J., Biousse, Valerie, Wong, Tien Ying, Milea, Dan, Najjar, Raymond P.

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The BONSAI (Brain and Optic Nerve Study with Artificial Intelligence) deep learning system can accurately identify pediatric papilledema on standard ocular fundus photographs von Lin, Mung Yan, Najjar, Raymond P., Tang, Zhiqun, Cioplean, Daniela, Dragomir, Mihaela, Chia, Audrey, Patil, Ajay, Vasseneix, Caroline, Peragallo, Jason H., Newman, Nancy J., Biousse, Valérie, Milea, Dan, Fraser, Clare L., Micieli, Jonathan A., Costello, Fiona, Étienne Bénard-Séguin, Yang, Hui, Mun Chan, Carmen Kar, Cheung, Carol Y., Chan, Noel CY, Hamann, Steffen, Gohier, Philippe, Vautier, Anaïs, Rougier, Marie-Bénédicte, Chiquet, Christophe, Vignal-Clermont, Catherine, Hage, Rabih, Khanna, Raoul Kanav, Chau Tran, Thi Ha, Lagrèze, Wolf Alexander, Jonas, Jost B., Ambika, Selvakumar, Fard, Masoud Aghsaei, La Morgia, Chiara, Carbonelli, Michele, Barboni, Piero, Carelli, Valerio, Romagnoli, Martina, Amore, Giulia, Nakamura, Makoto, Fumio, Takano, Petzold, Axel, de Buy Wenniger L.J., Maillette, Kho, Richard, Fonseca, Pedro L., Bikbov, Mukharram M., Milea, Dan, Najjar, Raymond P., Ting, Daniel, Tang, Zhiqun, Loo, Jing Liang, Tow, Sharon, Singhal, Shweta, Vasseneix, Caroline, Wong, Tien Yin, Lamoureux, Ecosse, Chen, Ching Yu, Aung, Tin, Schmetterer, Leopold, Sanda, Nicolae, Thuman, Gabriele, Hwang, Jeong-Min, Vanikieti, Kavin, Suwan, Yanin, Padungkiatsagul, Tanyatuth, Yu-Wai-Man, Patrick, Jurkute, Neringa, Hong, Eun Hee, Biousse, Valerie, Newman, Nancy J., Peragallo, Jason H., Datillo, Michael, Kedar, Sachin, Lin, Mung Yan, Patil, Ajay, Aung, Andre, Boyko, Matthew, Alsakran, Wael Abdulraman, Zayani, Amani, Bouthour, Walid, Banc, Ana, Mosley, Rasha, Labella, Fernando, Miller, Neil R., Chen, John J., Mejico, Luis J., Kilangalanga, Janvier Ngoy

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A Deep Learning System for Automated Quality Evaluation of Optic Disc Photographs in Neuro-Ophthalmic Disorders von Chan, Ebenezer, Tang, Zhiqun, Najjar, Raymond P, Narayanaswamy, Arun, Sathianvichitr, Kanchalika, Newman, Nancy J, Biousse, Valérie, Milea, Dan

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