Zobrazeno 1 - 10
of 2 736
pro vyhledávání: '"Cheng Ching‐Yu"'
Autor:
Yu, Liuchuan, Cheng, Ching-Yu, Ranc, William F, Dow, Joshua, Szilagyi, Michael, Huang, Haikun, Hong, Sungsoo Ray, Esmaeili, Behzad, Yu, Lap-Fai
Virtual reality is widely adopted for applications such as training, education, and collaboration. The construction industry, known for its complex projects and numerous personnel involved, relies heavily on effective collaboration. Setting up a real
Externí odkaz:
http://arxiv.org/abs/2410.23627
Autor:
Lei, Xiaofeng, Tham, Yih-Chung, Goh, Jocelyn Hui Lin, Feng, Yangqin, Bai, Yang, Da Soh, Zhi, Goh, Rick Siow Mong, Xu, Xinxing, Liu, Yong, Cheng, Ching-Yu
Community vision screening plays a crucial role in identifying individuals with vision loss and preventing avoidable blindness, particularly in rural communities where access to eye care services is limited. Currently, there is a pressing need for a
Externí odkaz:
http://arxiv.org/abs/2410.20309
Autor:
Chen, Qingyu, Keenan, Tiarnan D L, Agron, Elvira, Allot, Alexis, Guan, Emily, Duong, Bryant, Elsawy, Amr, Hou, Benjamin, Xue, Cancan, Bhandari, Sanjeeb, Broadhead, Geoffrey, Cousineau-Krieger, Chantal, Davis, Ellen, Gensheimer, William G, Grasic, David, Gupta, Seema, Haddock, Luis, Konstantinou, Eleni, Lamba, Tania, Maiberger, Michele, Mantopoulos, Dimosthenis, Mehta, Mitul C, Nahri, Ayman G, AL-Nawaflh, Mutaz, Oshinsky, Arnold, Powell, Brittany E, Purt, Boonkit, Shin, Soo, Stiefel, Hillary, Thavikulwat, Alisa T, Wroblewski, Keith James, Chung, Tham Yih, Cheung, Chui Ming Gemmy, Cheng, Ching-Yu, Chew, Emily Y, Hribar, Michelle R., Chiang, Michael F., Lu, Zhiyong
Timely disease diagnosis is challenging due to increasing disease burdens and limited clinician availability. AI shows promise in diagnosis accuracy but faces real-world application issues due to insufficient validation in clinical workflows and dive
Externí odkaz:
http://arxiv.org/abs/2409.15087
Autor:
Wang, Xiaoye, Zhang, Nicole Xi, He, Hongyu, Nguyen, Trang, Yu, Kun-Hsing, Deng, Hao, Brandt, Cynthia, Bitterman, Danielle S., Pan, Ling, Cheng, Ching-Yu, Zou, James, Liu, Dianbo
Recent advancements in artificial intelligence (AI), particularly in deep learning and large language models (LLMs), have accelerated their integration into medicine. However, these developments have also raised public concerns about the safe applica
Externí odkaz:
http://arxiv.org/abs/2409.18968
Autor:
Yu, Kai, Zhou, Yang, Bai, Yang, Da Soh, Zhi, Xu, Xinxing, Goh, Rick Siow Mong, Cheng, Ching-Yu, Liu, Yong
Retinal foundation models aim to learn generalizable representations from diverse retinal images, facilitating label-efficient model adaptation across various ophthalmic tasks. Despite their success, current retinal foundation models are generally re
Externí odkaz:
http://arxiv.org/abs/2408.05618
Autor:
Wang, Meng, Lin, Tian, Lin, Aidi, Yu, Kai, Peng, Yuanyuan, Wang, Lianyu, Chen, Cheng, Zou, Ke, Liang, Huiyu, Chen, Man, Yao, Xue, Zhang, Meiqin, Huang, Binwei, Zheng, Chaoxin, Zhang, Peixin, Chen, Wei, Luo, Yilong, Chen, Yifan, Xia, Honghe, Shi, Tingkun, Zhang, Qi, Guo, Jinming, Chen, Xiaolin, Wang, Jingcheng, Tham, Yih Chung, Liu, Dianbo, Wong, Wendy, Thakur, Sahil, Fenner, Beau, Fang, Danqi, Liu, Siying, Liu, Qingyun, Huang, Yuqiang, Zeng, Hongqiang, Meng, Yanda, Zhou, Yukun, Jiang, Zehua, Qiu, Minghui, Zhang, Changqing, Chen, Xinjian, Wang, Sophia Y, Lee, Cecilia S, Sobrin, Lucia, Cheung, Carol Y, Pang, Chi Pui, Keane, Pearse A, Cheng, Ching-Yu, Chen, Haoyu, Fu, Huazhu
Previous foundation models for retinal images were pre-trained with limited disease categories and knowledge base. Here we introduce RetiZero, a vision-language foundation model that leverages knowledge from over 400 fundus diseases. To RetiZero's pr
Externí odkaz:
http://arxiv.org/abs/2406.09317
Ocular diseases, including diabetic retinopathy and glaucoma, present a significant public health challenge due to their high prevalence and potential for causing vision impairment. Early and accurate diagnosis is crucial for effective treatment and
Externí odkaz:
http://arxiv.org/abs/2402.16865
Autor:
Lei, Xiaofeng, Li, Shaohua, Xu, Xinxing, Fu, Huazhu, Liu, Yong, Tham, Yih-Chung, Feng, Yangqin, Tan, Mingrui, Xu, Yanyu, Goh, Jocelyn Hui Lin, Goh, Rick Siow Mong, Cheng, Ching-Yu
Localizing anatomical landmarks are important tasks in medical image analysis. However, the landmarks to be localized often lack prominent visual features. Their locations are elusive and easily confused with the background, and thus precise localiza
Externí odkaz:
http://arxiv.org/abs/2210.02445