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pro vyhledávání: '"Shi, Bibo"'
We propose a fully unsupervised multi-modal deformable image registration method (UMDIR), which does not require any ground truth deformation fields or any aligned multi-modal image pairs during training. Multi-modal registration is a key problem in
Externí odkaz:
http://arxiv.org/abs/1903.09331
Akademický článek
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In this paper, we propose a nonlinear distance metric learning scheme based on the fusion of component linear metrics. Instead of merging displacements at each data point, our model calculates the velocities induced by the component transformations,
Externí odkaz:
http://arxiv.org/abs/1805.04784
Publikováno v:
In International Journal of Electrochemical Science September 2022 17(9)
Autor:
Shi, Bibo
Many machine learning algorithms rely on “good” metrics to quantify the distances or similarities between data instances. Context dependent metrics learned from the training data are often eeffective in improving the performance of metric-based a
Externí odkaz:
http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1448980736
Autor:
Shi, Bibo
In addition to seeking geometric correspondence between the inputs, a legitimate medical image registration algorithm should also keep the estimated transformation meaningful or regular. In this thesis, we present a mathematically sound formulation t
Externí odkaz:
http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1312842132
Autor:
Shi, Bibo, Liu, Jundong
In recent years, research efforts to extend linear metric learning models to handle nonlinear structures have attracted great interests. In this paper, we propose a novel nonlinear solution through the utilization of deformable geometric models to le
Externí odkaz:
http://arxiv.org/abs/1508.01534
Autor:
Shi, Bibo, Saravanakumar, Balasubramaniam, Wei, Wei, Dong, Guanping, Wu, Sujuan, Lu, Xubing, Zeng, Min, Gao, Xingsen, Wang, Qianming, Zhou, Guofu, Liu, Jun-Ming, Kempa, Krzysztof, Gao, Jinwei
Publikováno v:
In Journal of Alloys and Compounds 25 June 2019 790:693-702
Autor:
Shi, Bibo *, Grimm, Lars J., Mazurowski, Maciej A., Baker, Jay A., Marks, Jeffrey R., King, Lorraine M., Maley, Carlo C., Hwang, E. Shelley, Lo, Joseph Y.
Publikováno v:
In Academic Radiology September 2017 24(9):1139-1147
Publikováno v:
In Pattern Recognition March 2017 63:487-498