Zobrazeno 1 - 10
of 2 048
pro vyhledávání: '"Yang, Guang Zhong"'
Autor:
Ye, Nanyang, Sun, Qiao, Wang, Yifei, Yang, Liujia, Zhou, Jundong, Wang, Lei, Yang, Guang-Zhong, Wang, Xinbing, Zhou, Chenghu, Ren, Wei, Gu, Leilei, Wu, Huaqiang, Gu, Qinying
Analog computing using non-volatile memristors has emerged as a promising solution for energy-efficient deep learning. New materials, like perovskites-based memristors are recently attractive due to their cost-effectiveness, energy efficiency and fle
Externí odkaz:
http://arxiv.org/abs/2412.02779
Domain adaptation, which bridges the distributions across different modalities, plays a crucial role in multimodal medical image analysis. In endoscopic imaging, combining pre-operative data with intra-operative imaging is important for surgical plan
Externí odkaz:
http://arxiv.org/abs/2410.13896
Autor:
Dorent, Reuben, Khajavi, Roya, Idris, Tagwa, Ziegler, Erik, Somarouthu, Bhanusupriya, Jacene, Heather, LaCasce, Ann, Deissler, Jonathan, Ehrhardt, Jan, Engelson, Sofija, Fischer, Stefan M., Gu, Yun, Handels, Heinz, Kasai, Satoshi, Kondo, Satoshi, Maier-Hein, Klaus, Schnabel, Julia A., Wang, Guotai, Wang, Litingyu, Wald, Tassilo, Yang, Guang-Zhong, Zhang, Hanxiao, Zhang, Minghui, Pieper, Steve, Harris, Gordon, Kikinis, Ron, Kapur, Tina
Accurate assessment of lymph node size in 3D CT scans is crucial for cancer staging, therapeutic management, and monitoring treatment response. Existing state-of-the-art segmentation frameworks in medical imaging often rely on fully annotated dataset
Externí odkaz:
http://arxiv.org/abs/2408.10069
Visual odometry plays a crucial role in endoscopic imaging, yet the scarcity of realistic images with ground truth poses poses a significant challenge. Therefore, domain adaptation offers a promising approach to bridge the pre-operative planning doma
Externí odkaz:
http://arxiv.org/abs/2403.10860
Autor:
Abdelaziz, Mohamed E. M. K., Tian, Libaihe, Lottner, Thomas, Reiss, Simon, Heidt, Timo, Maier, Alexander, Düring, Klaus, Mühlen, Constantin von zur, Bock, Michael, Yeatman, Eric, Yang, Guang-Zhong, Temelkuran, Burak
Cardiovascular diseases (CVDs) and congenital heart diseases (CHD) pose significant global health challenges. Fluoroscopy-guided endovascular interventions, though effective, are accompanied by ionizing radiation concerns, especially in pediatric cas
Externí odkaz:
http://arxiv.org/abs/2403.05485
Endobronchial intervention is increasingly used as a minimally invasive means for the treatment of pulmonary diseases. In order to reduce the difficulty of manipulation in complex airway networks, robust lumen detection is essential for intraoperativ
Externí odkaz:
http://arxiv.org/abs/2304.09115
Autor:
Zhang, Minghui, Wu, Yangqian, Zhang, Hanxiao, Qin, Yulei, Zheng, Hao, Tang, Wen, Arnold, Corey, Pei, Chenhao, Yu, Pengxin, Nan, Yang, Yang, Guang, Walsh, Simon, Marshall, Dominic C., Komorowski, Matthieu, Wang, Puyang, Guo, Dazhou, Jin, Dakai, Wu, Ya'nan, Zhao, Shuiqing, Chang, Runsheng, Zhang, Boyu, Lv, Xing, Qayyum, Abdul, Mazher, Moona, Su, Qi, Wu, Yonghuang, Liu, Ying'ao, Zhu, Yufei, Yang, Jiancheng, Pakzad, Ashkan, Rangelov, Bojidar, Estepar, Raul San Jose, Espinosa, Carlos Cano, Sun, Jiayuan, Yang, Guang-Zhong, Gu, Yun
Open international challenges are becoming the de facto standard for assessing computer vision and image analysis algorithms. In recent years, new methods have extended the reach of pulmonary airway segmentation that is closer to the limit of image r
Externí odkaz:
http://arxiv.org/abs/2303.05745
Autor:
Ma, Shengyuan, Wang, Runke, Qiu, Suhao, Li, Ruokun, Yue, Qi, Sun, Qingfang, Chen, Liang, Yan, Fuhua, Yang, Guang-Zhong, Feng, Yuan
Magnetic Resonance Elastography (MRE) can characterize biomechanical properties of soft tissue for disease diagnosis and treatment planning. However, complicated wavefields acquired from MRE coupled with noise pose challenges for accurate displacemen
Externí odkaz:
http://arxiv.org/abs/2301.02367
The success of most advanced facial expression recognition works relies heavily on large-scale annotated datasets. However, it poses great challenges in acquiring clean and consistent annotations for facial expression datasets. On the other hand, sel
Externí odkaz:
http://arxiv.org/abs/2210.03853