Search Results - "Bellemo, Valentina"

Artificial Intelligence Screening for Diabetic Retinopathy: the Real-World Emerging Application by Bellemo, Valentina, Lim, Gilbert, Rim, Tyler Hyungtaek, Tan, Gavin S. W., Cheung, Carol Y., Sadda, SriniVas, He, Ming-guang, Tufail, Adnan, Lee, Mong Li, Hsu, Wynne, Ting, Daniel Shu Wei

“…Purpose of Review This paper systematically reviews the recent progress in diabetic retinopathy screening. It provides an integrated overview of the current…”
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Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation study by Bellemo, Valentina, Lim, Zhan W, Lim, Gilbert, Nguyen, Quang D, Xie, Yuchen, Yip, Michelle Y T, Hamzah, Haslina, Ho, Jinyi, Lee, Xin Q, Hsu, Wynne, Lee, Mong L, Musonda, Lillian, Chandran, Manju, Chipalo-Mutati, Grace, Muma, Mulenga, Tan, Gavin S W, Sivaprasad, Sobha, Menon, Geeta, Wong, Tien Y, Ting, Daniel S W

“…Radical measures are required to identify and reduce blindness due to diabetes to achieve the Sustainable Development Goals by 2030. Therefore, we evaluated…”
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Different fundus imaging modalities and technical factors in AI screening for diabetic retinopathy: a review by Lim, Gilbert, Bellemo, Valentina, Xie, Yuchen, Lee, Xin Q, Yip, Michelle Y T, Ting, Daniel S W

“…Effective screening is a desirable method for the early detection and successful treatment for diabetic retinopathy, and fundus photography is currently the…”
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Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathy by 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.

“…Deep learning (DL) has been shown to be effective in developing diabetic retinopathy (DR) algorithms, possibly tackling financial and manpower challenges…”
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Optical coherence tomography choroidal enhancement using generative deep learning by Bellemo, Valentina, Kumar Das, Ankit, Sreng, Syna, Chua, Jacqueline, Wong, Damon, Shah, Janika, Jonas, Rahul, Tan, Bingyao, Liu, Xinyu, Xu, Xinxing, Tan, Gavin Siew Wei, Agrawal, Rupesh, Ting, Daniel Shu Wei, Yong, Liu, Schmetterer, Leopold

“…Spectral-domain optical coherence tomography (SDOCT) is the gold standard of imaging the eye in clinics. Penetration depth with such devices is, however,…”
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Enhanced choroidal thickness, total choroidal area and choroidal vascularity index from deep‐learning generated OCT images by Bellemo, Valentina, Kumar, Ankit, Wong, Damon, Chua, Jacqueline, Liu, Xinyu, Xu, Xinxing, Liu, Yong, Schmetterer, Leopold

“…Aims/Purpose: Our goal is to enhance the visualization of the choroid in clinical standard spectral‐domain OCT (SDOCT) scans using a deep‐learning (DL)…”
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Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study by Xie, Yuchen, Nguyen, Quang D, Hamzah, Haslina, Lim, Gilbert, Bellemo, Valentina, Gunasekeran, Dinesh V, Yip, Michelle Y T, Qi Lee, Xin, Hsu, Wynne, Li Lee, Mong, Tan, Colin S, Tym Wong, Hon, Lamoureux, Ecosse L, Tan, Gavin S W, Wong, Tien Y, Finkelstein, Eric A, Ting, Daniel S W

“…Deep learning is a novel machine learning technique that has been shown to be as effective as human graders in detecting diabetic retinopathy from fundus…”
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Posterior scleral birefringence measured by triple-input polarization-sensitive imaging as a biomarker of myopia progression by Liu, Xinyu, Jiang, Liqin, Ke, Mengyuan, Sigal, Ian A., Chua, Jacqueline, Hoang, Quan V., Chia, Audrey WI, Najjar, Raymond P., Tan, Bingyao, Cheong, Jocelyn, Bellemo, Valentina, Chong, Rachel S., Girard, Michaël J. A., Ang, Marcus, Liu, Mengyang, Garhöfer, Gerhard, Barathi, Veluchamy A., Saw, Seang-Mei, Villiger, Martin, Schmetterer, Leopold

“…In myopic eyes, pathological remodelling of collagen in the posterior sclera has mostly been observed ex vivo. Here we report the development of triple-input…”
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Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathy by 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

“…Deep learning (DL) has been shown to be effective in developing diabetic retinopathy (DR) algorithms, possibly tackling financial and manpower challenges…”
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Multimodal imaging of the mouse eye using visible light photoacoustic ophthalmoscopy and near-infrared-II optical coherence tomography by Haindl, Richard, Bellemo, Valentina, Rajendran, Praveenbalaji, Tan, Bingyao, Liu, Mengyang, Zhou, Qifa, Leitgeb, Rainer A, Drexler, Wolfgang, Schmetterer, Leopold, Pramanik, Manojit

“…Non-invasive imaging plays a crucial role in diagnosing and studying eye diseases. However, existing photoacoustic ophthalmoscopy (PAOM) techniques in mice…”
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