Zobrazeno 1 - 10
of 4 859
pro vyhledávání: '"Wong, Chun"'
Autor:
Tse, Chun-Yan, Wong, Chun-Fung
Publikováno v:
Analytical Approaches to World Music, Vol 8, Iss 2, Pp 164-194 (2020)
A general lack of higher-order regularity in temporal organization is one important feature that differentiates qin music of the Chinese literati from most other genres of traditional Chinese music, but this has seldom been discussed in scholarly cir
Externí odkaz:
https://doaj.org/article/c6d230460632477a91c729e98921f9ce
Lomics: Generation of Pathways and Gene Sets using Large Language Models for Transcriptomic Analysis
Autor:
Wong, Chun-Ka, Choo, Ali, Cheng, Eugene C. C., San, Wing-Chun, Cheng, Kelvin Chak-Kong, Lau, Yee-Man, Lin, Minqing, Li, Fei, Liang, Wei-Hao, Liao, Song-Yan, Ng, Kwong-Man, Hung, Ivan Fan-Ngai, Tse, Hung-Fat, Wong, Jason Wing-Hon
Interrogation of biological pathways is an integral part of omics data analysis. Large language models (LLMs) enable the generation of custom pathways and gene sets tailored to specific scientific questions. These targeted sets are significantly smal
Externí odkaz:
http://arxiv.org/abs/2407.09089
Publikováno v:
Robotics: Science and Systems 2024
Intelligent vision control systems for surgical robots should adapt to unknown and diverse objects while being robust to system disturbances. Previous methods did not meet these requirements due to mainly relying on pose estimation and feature tracki
Externí odkaz:
http://arxiv.org/abs/2405.17940
Autor:
Wong, Chun Kit, Ngo, Mary, Lin, Manxi, Bashir, Zahra, Heen, Amihai, Svendsen, Morten Bo Søndergaard, Tolsgaard, Martin Grønnebæk, Christensen, Anders Nymark, Feragen, Aasa
Despite the rapid development of AI models in medical image analysis, their validation in real-world clinical settings remains limited. To address this, we introduce a generic framework designed for deploying image-based AI models in such settings. U
Externí odkaz:
http://arxiv.org/abs/2404.00032
Autor:
Lin, Manxi, Ambsdorf, Jakob, Sejer, Emilie Pi Fogtmann, Bashir, Zahra, Wong, Chun Kit, Pegios, Paraskevas, Raheli, Alberto, Svendsen, Morten Bo Søndergaard, Nielsen, Mads, Tolsgaard, Martin Grønnebæk, Christensen, Anders Nymark, Feragen, Aasa
We introduce the notion of semantic image quality for applications where image quality relies on semantic requirements. Working in fetal ultrasound, where ranking is challenging and annotations are noisy, we design a robust coarse-to-fine model that
Externí odkaz:
http://arxiv.org/abs/2402.08294
This paper proposes an interactive navigation framework by using large language and vision-language models, allowing robots to navigate in environments with traversable obstacles. We utilize the large language model (GPT-3.5) and the open-set Vision-
Externí odkaz:
http://arxiv.org/abs/2310.08873
Autor:
Wong, Chun Kit, Lin, Manxi, Raheli, Alberto, Bashir, Zahra, Svendsen, Morten Bo Søndergaard, Tolsgaard, Martin Grønnebæk, Feragen, Aasa, Christensen, Anders Nymark
Publikováno v:
ASMUS 2023. Simplifying Medical Ultrasound pp 13-22. Lecture Notes in Computer Science, vol 14337
Examination of the umbilical artery with Doppler ultrasonography is performed to investigate blood supply to the fetus through the umbilical cord, which is vital for the monitoring of fetal health. Such examination involves several steps that must be
Externí odkaz:
http://arxiv.org/abs/2304.05463
Autor:
Zhao, Yuzhi, Po, Lai-Man, Wang, Xuehui, Yan, Qiong, Shen, Wei, Zhang, Yujia, Liu, Wei, Wong, Chun-Kit, Pang, Chiu-Sing, Ou, Weifeng, Yu, Wing-Yin, Liu, Buhua
The appearances of children are inherited from their parents, which makes it feasible to predict them. Predicting realistic children's faces may help settle many social problems, such as age-invariant face recognition, kinship verification, and missi
Externí odkaz:
http://arxiv.org/abs/2204.09962
Orthogonal polynomial approximations form the foundation to a set of well-established methods for uncertainty quantification known as polynomial chaos. These approximations deliver models for emulating physical systems in a variety of computational e
Externí odkaz:
http://arxiv.org/abs/2203.03508