Zobrazeno 1 - 10
of 1 406
pro vyhledávání: '"Zhao Can"'
Publikováno v:
Developments in the Built Environment, Vol 16, Iss , Pp 100282- (2023)
This research investigates the influence of water-cement ratio and recycled aggregate content on the chlorine erosion resistance of RAC by conducting a combination of experimental and theoretical analysis. In addition, a mathematical equation is deve
Externí odkaz:
https://doaj.org/article/507c251c09614d3bb688631eba2fd16b
Autor:
Nath, Vishwesh, Li, Wenqi, Yang, Dong, Myronenko, Andriy, Zheng, Mingxin, Lu, Yao, Liu, Zhijian, Yin, Hongxu, Law, Yee Man, Tang, Yucheng, Guo, Pengfei, Zhao, Can, Xu, Ziyue, He, Yufan, Heinrich, Greg, Aylward, Stephen, Edgar, Marc, Zephyr, Michael, Molchanov, Pavlo, Turkbey, Baris, Roth, Holger, Xu, Daguang
Generalist vision language models (VLMs) have made significant strides in computer vision, but they fall short in specialized fields like healthcare, where expert knowledge is essential. In traditional computer vision tasks, creative or approximate a
Externí odkaz:
http://arxiv.org/abs/2411.12915
Multiple object tracking (MOT) in Unmanned Aerial Vehicle (UAV) videos is important for diverse applications in computer vision. Current MOT trackers rely on accurate object detection results and precise matching of target reidentification (ReID). Th
Externí odkaz:
http://arxiv.org/abs/2409.11234
Autor:
Guo, Pengfei, Zhao, Can, Yang, Dong, Xu, Ziyue, Nath, Vishwesh, Tang, Yucheng, Simon, Benjamin, Belue, Mason, Harmon, Stephanie, Turkbey, Baris, Xu, Daguang
Medical imaging analysis faces challenges such as data scarcity, high annotation costs, and privacy concerns. This paper introduces the Medical AI for Synthetic Imaging (MAISI), an innovative approach using the diffusion model to generate synthetic 3
Externí odkaz:
http://arxiv.org/abs/2409.11169
Autor:
He, Yufan, Guo, Pengfei, Tang, Yucheng, Myronenko, Andriy, Nath, Vishwesh, Xu, Ziyue, Yang, Dong, Zhao, Can, Xu, Daguang, Li, Wenqi
Since the release of Segment Anything 2 (SAM2), the medical imaging community has been actively evaluating its performance for 3D medical image segmentation. However, different studies have employed varying evaluation pipelines, resulting in conflict
Externí odkaz:
http://arxiv.org/abs/2408.11210
Autor:
Zhao, Can, Chen, Bin, Cai, Jiaqi, Liang, Zhiwei, Lei, Yi, Xiong, Junjie, Ma, Lin, Hu, Daohui, Sun, Lin, Shen, Gangxiang
A 16-dimensional Voronoi constellation concatenated with multilevel coding is experimentally demonstrated over a 50km four-core fiber transmission system. The proposed scheme reduces the required launch power by 6dB and provides a 17dB larger operati
Externí odkaz:
http://arxiv.org/abs/2407.06662
Autor:
He, Yufan, Guo, Pengfei, Tang, Yucheng, Myronenko, Andriy, Nath, Vishwesh, Xu, Ziyue, Yang, Dong, Zhao, Can, Simon, Benjamin, Belue, Mason, Harmon, Stephanie, Turkbey, Baris, Xu, Daguang, Li, Wenqi
Foundation models for interactive segmentation in 2D natural images and videos have sparked significant interest in building 3D foundation models for medical imaging. However, the domain gaps and clinical use cases for 3D medical imaging require a de
Externí odkaz:
http://arxiv.org/abs/2406.05285
Publikováno v:
Clinical and Experimental Hypertension, Vol 40, Iss 7, Pp 673-679 (2018)
Background: Essential hypertension (EP) is characterized by blood pressure (BP) elevations, which often lead to target organ damage and cardiovascular illness. The following study investigates whether aerobic exercise programs with different intensit
Externí odkaz:
https://doaj.org/article/ac9b189828eb41a5815bbbc7a570193b
Autor:
Valanarasu, Jeya Maria Jose, Tang, Yucheng, Yang, Dong, Xu, Ziyue, Zhao, Can, Li, Wenqi, Patel, Vishal M., Landman, Bennett, Xu, Daguang, He, Yufan, Nath, Vishwesh
Harnessing the power of pre-training on large-scale datasets like ImageNet forms a fundamental building block for the progress of representation learning-driven solutions in computer vision. Medical images are inherently different from natural images
Externí odkaz:
http://arxiv.org/abs/2307.16896