Zobrazeno 1 - 10
of 3 881
pro vyhledávání: '"Jiang, CHANG"'
Autor:
Wang, Lei, Shan, Huanyuan, Nie, Lin, Cheng, Cheng, Yuan, Fang-Ting, Cui, Qifan, Li, Guoliang, Xie, Yushan, Liu, Dezi, Liu, Yao, Fang, Min, Li, Nan, Jia, Peng, Li, Ran, Liu, Fengshan, Shu, Yiping, Jiang, Chang, Wei, Cheng-Liang, Qu, Han, Zheng, Wen-Wen, Zhu, Li-Yan, Kang, Xi
We present the application of the image coaddition algorithm, Up-sampling and PSF Deconvolution Coaddition (UPDC), for stacking multiple exposure images captured by the James Webb Space Telescope (JWST) Near-Infrared Camera (NIRCam). By addressing th
Externí odkaz:
http://arxiv.org/abs/2411.13891
Autor:
Ouyang, Yang, Zhang, Chenyang, Wang, He, Ma, Tianle, Jiang, Chang, Yan, Yuheng, Yan, Zuoqin, Ma, Xiaojuan, Shi, Chuhan, Li, Quan
In healthcare, AI techniques are widely used for tasks like risk assessment and anomaly detection. Despite AI's potential as a valuable assistant, its role in complex medical data analysis often oversimplifies human-AI collaboration dynamics. To addr
Externí odkaz:
http://arxiv.org/abs/2407.14769
Autor:
Zeng, Hongye, Zou, Ke, Chen, Zhihao, Gao, Yuchong, Chen, Hongbo, Zhang, Haibin, Zhou, Kang, Wang, Meng, Goh, Rick Siow Mong, Liu, Yong, Jiang, Chang, Zheng, Rui, Fu, Huazhu
Handheld ultrasound devices face usage limitations due to user inexperience and cannot benefit from supervised deep learning without extensive expert annotations. Moreover, the models trained on standard ultrasound device data are constrained by trai
Externí odkaz:
http://arxiv.org/abs/2402.11211
The advent of artificial intelligence, especially the progress of deep neural networks, is expected to revolutionize genetic research and offer unprecedented potential to decode the complex relationships between genetic variants and disease phenotype
Externí odkaz:
http://arxiv.org/abs/2312.06669
The recent development of artificial intelligence (AI) technology, especially the advance of deep neural network (DNN) technology, has revolutionized many fields. While DNN plays a central role in modern AI technology, it has been rarely used in sequ
Externí odkaz:
http://arxiv.org/abs/2312.02850
Autor:
Pengli Wang, Erji Gao, Tao Wang, Yanping Feng, Yong Xu, Lefeng Su, Wei Gao, Zheng Ci, Muhammad Rizwan Younis, Jiang Chang, Chen Yang, Liang Duan
Publikováno v:
Journal of Nanobiotechnology, Vol 22, Iss 1, Pp 1-18 (2024)
Abstract Timely and effective interventions after tracheal mucosal injury are lack in clinical practices, which elevate the risks of airway infection, tracheal cartilage deterioration, and even asphyxiated death. Herein, we proposed a biomaterial-bas
Externí odkaz:
https://doaj.org/article/5eb4c254a3a04e04a109882fa76692af
Autor:
Lingwei Huang, Yiren Jiao, Hangbin Xia, Huili Li, Jing Yu, Yumei Que, Zhen Zeng, Chen Fan, Chen Wang, Chen Yang, Jiang Chang
Publikováno v:
Journal of Orthopaedic Translation, Vol 48, Iss , Pp 146-155 (2024)
Background: Long-term physical inactivity probably leads to a co-existence of osteoporosis and sarcopenia which result in a high risk of falls, fractures, disability and even mortality. However, universally applicable and feasible approaches are lack
Externí odkaz:
https://doaj.org/article/d9f2a39fc7ee472197bf1b9896b057d6
Facial sketch synthesis (FSS) aims to generate a vivid sketch portrait from a given facial photo. Existing FSS methods merely rely on 2D representations of facial semantic or appearance. However, professional human artists usually use outlines or sha
Externí odkaz:
http://arxiv.org/abs/2309.00216
Autor:
Ouyang, Yang, Wu, Yuchen, Wang, He, Zhang, Chenyang, Cheng, Furui, Jiang, Chang, Jin, Lixia, Cao, Yuanwu, Li, Quan
Simulation-based Medical Education (SBME) has been developed as a cost-effective means of enhancing the diagnostic skills of novice physicians and interns, thereby mitigating the need for resource-intensive mentor-apprentice training. However, feedba
Externí odkaz:
http://arxiv.org/abs/2307.12199