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pro vyhledávání: '"Cao, Kunlin"'
This paper focuses on Semi-Supervised Object Detection (SSOD). Knowledge Distillation (KD) has been widely used for semi-supervised image classification. However, adapting these methods for SSOD has the following obstacles. (1) The teacher model serv
Externí odkaz:
http://arxiv.org/abs/2007.06144
Autor:
Guo, Zhihui, Bai, Junjie, Lu, Yi, Wang, Xin, Cao, Kunlin, Song, Qi, Sonka, Milan, Yin, Youbing
A novel centerline extraction framework is reported which combines an end-to-end trainable multi-task fully convolutional network (FCN) with a minimal path extractor. The FCN simultaneously computes centerline distance maps and detects branch endpoin
Externí odkaz:
http://arxiv.org/abs/1903.10481
Autor:
Li, Junhuan, Wu, Dan, Lv, Lijuan, Dong, Mei, Han, Yeming, Zhang, Mei, Savage, Rock H., Zhang, Hongkai, Bai, Junjie, Cao, Kunlin, Yin, Youbing, Song, Qi, Zhang, Yun, Li, Yuwei, Zhang, Pengfei, Joseph Schoepf, U.
Publikováno v:
In Journal of Biomechanics April 2023 151
Autor:
Kong, Bin, Wang, Xin, Bai, Junjie, Lu, Yi, Gao, Feng, Cao, Kunlin, Song, Qi, Zhang, Shaoting, Lyu, Siwei, Yin, Youbing
Modeling the sequential information of image sequences has been a vital step of various vision tasks and convolutional long short-term memory (ConvLSTM) has demonstrated its superb performance in such spatiotemporal problems. Nevertheless, the hierar
Externí odkaz:
http://arxiv.org/abs/1902.10053
Autor:
Wu, Eric, Kong, Bin, Wang, Xin, Bai, Junjie, Lu, Yi, Gao, Feng, Zhang, Shaoting, Cao, Kunlin, Song, Qi, Lyu, Siwei, Yin, Youbing
Computerized automatic methods have been employed to boost the productivity as well as objectiveness of hand bone age assessment. These approaches make predictions according to the whole X-ray images, which include other objects that may introduce di
Externí odkaz:
http://arxiv.org/abs/1901.05876
Publikováno v:
Information Processing in Medical Imaging. IPMI 2017. Lecture Notes in Computer Science, vol 10265. Springer, Cham
Risk stratification of lung nodules is a task of primary importance in lung cancer diagnosis. Any improvement in robust and accurate nodule characterization can assist in identifying cancer stage, prognosis, and improving treatment planning. In this
Externí odkaz:
http://arxiv.org/abs/1704.08797
Characterization of lung nodules as benign or malignant is one of the most important tasks in lung cancer diagnosis, staging and treatment planning. While the variation in the appearance of the nodules remains large, there is a need for a fast and ro
Externí odkaz:
http://arxiv.org/abs/1703.00645
Autor:
Li, Sheng, Zhang, Guizhi, Yin, Youbing, Xie, Qiuxia, Guo, Xinyu, Cao, Kunlin, Song, Qi, Guan, Jian, Zhou, Xuhui
Publikováno v:
In Computerized Medical Imaging and Graphics December 2021 94
Autor:
Hu, Jing, Luo, Ziwei, Wang, Xin, Sun, Shanhui, Yin, Youbing, Cao, Kunlin, Song, Qi, Lyu, Siwei, Wu, Xi
Publikováno v:
In Medical Image Analysis February 2021 68
Autor:
Cao, Kunlin.
Thesis (M.S.)--University of Iowa, 2008.
Thesis supervisor: Gary E. Christensen. Includes bibliographical references (leaves 74-76).
Thesis supervisor: Gary E. Christensen. Includes bibliographical references (leaves 74-76).
Externí odkaz:
http://ir.uiowa.edu/etd/19