Zobrazeno 1 - 10
of 149
pro vyhledávání: '"Zhou, Mingchuan"'
Autor:
Huang, Dianye, Yang, Chenguang, Zhou, Mingchuan, Karlas, Angelos, Navab, Nassir, Jiang, Zhongliang
Deep Venous Thrombosis (DVT) is a common vascular disease with blood clots inside deep veins, which may block blood flow or even cause a life-threatening pulmonary embolism. A typical exam for DVT using ultrasound (US) imaging is by pressing the targ
Externí odkaz:
http://arxiv.org/abs/2401.02539
Ultrasound (US) imaging is widely used for biometric measurement and diagnosis of internal organs due to the advantages of being real-time and radiation-free. However, due to high inter-operator variability, resulting images highly depend on operator
Externí odkaz:
http://arxiv.org/abs/2307.03705
Autor:
Jiang, Zhongliang, Danis, Nehil, Bi, Yuan, Zhou, Mingchuan, Kroenke, Markus, Wendler, Thomas, Navab, Nassir
Robotic ultrasound (US) imaging has been seen as a promising solution to overcome the limitations of free-hand US examinations, i.e., inter-operator variability. However, the fact that robotic US systems cannot react to subject movements during scans
Externí odkaz:
http://arxiv.org/abs/2208.05383
Supervised learning depth estimation methods can achieve good performance when trained on high-quality ground-truth, like LiDAR data. However, LiDAR can only generate sparse 3D maps which causes losing information. Obtaining high-quality ground-truth
Externí odkaz:
http://arxiv.org/abs/2207.06351
Publikováno v:
In Engineering Applications of Artificial Intelligence October 2024 136 Part A
Autor:
Wang, Qingyu, Ma, Baojian, Liu, Wei, Lou, Mingzhao, Zhou, Mingchuan, Jiang, Huanyu, Ying, Yibin
Stereo matching is an important task in computer vision which has drawn tremendous research attention for decades. While in terms of disparity accuracy, density and data size, public stereo datasets are difficult to meet the requirements of models. I
Externí odkaz:
http://arxiv.org/abs/2111.15192
This paper propose a novel dictionary learning approach to detect event action using skeletal information extracted from RGBD video. The event action is represented as several latent atoms and composed of latent spatial and temporal attributes. We pe
Externí odkaz:
http://arxiv.org/abs/2109.02376
Autor:
Dou, Zengguo, Shen, Xiaobo, Zhou, Mingchuan, Wang, Zhengang, Du, Miaosen, Liu, Haifeng, Wang, Fuchen
Publikováno v:
In Fuel 15 July 2024 368
Publikováno v:
IEEE Robotics and Automation Letters 2021
Tissue deformation in ultrasound (US) imaging leads to geometrical errors when measuring tissues due to the pressure exerted by probes. Such deformation has an even larger effect on 3D US volumes as the correct compounding is limited by the inconsist
Externí odkaz:
http://arxiv.org/abs/2107.08411
Autor:
Jiang, Zhongliang, Wang, Hanyu, Li, Zhenyu, Grimm, Matthias, Zhou, Mingchuan, Eck, Ulrich, Brecht, Sandra V., Lueth, Tim C., Wendler, Thomas, Navab, Nassir
Publikováno v:
2021 IEEE International Conference on Robotics and Automation (ICRA)
Robotic three-dimensional (3D) ultrasound (US) imaging has been employed to overcome the drawbacks of traditional US examinations, such as high inter-operator variability and lack of repeatability. However, object movement remains a challenge as unex
Externí odkaz:
http://arxiv.org/abs/2107.05998