Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Zhao, Gengyan"'
Autor:
Yoo, Youngjin *, Gibson, Eli *, Zhao, Gengyan *, Re, Thomas J. *, Parmar, Hemant, Das, Jyotipriya *, Wang, Hesheng, Kim, Michelle M., Shen, Colette, Lee, Yueh, Kondziolka, Douglas, Ibrahim, Mohannad, Lian, Jun, Jain, Rajan, Zhu, Tong, Comaniciu, Dorin *, Balter, James M., Cao, Yue
Publikováno v:
In International Journal of Radiation Oncology, Biology, Physics July 2024
Autor:
Das, Badhan Kumar1,2 (AUTHOR) badhankumar.das@siemens-healthineers.com, Zhao, Gengyan3 (AUTHOR), Islam, Saahil1,2 (AUTHOR), Re, Thomas J.3 (AUTHOR), Comaniciu, Dorin3 (AUTHOR), Gibson, Eli3 (AUTHOR), Maier, Andreas2 (AUTHOR)
Publikováno v:
Scientific Reports. 4/23/2024, Vol. 14 Issue 1, p1-9. 9p.
As a powerful technique in medical imaging, image synthesis is widely used in applications such as denoising, super resolution and modality transformation etc. Recently, the revival of deep neural networks made immense progress in the field of medica
Externí odkaz:
http://arxiv.org/abs/2005.11875
Autor:
Zhao, Gengyan, Liu, Fang, Oler, Jonathan A., Meyerand, Mary E., Kalin, Ned H., Birn, Rasmus M.
Publikováno v:
Neuroimage 175 (2018): 32-44
Brain extraction or skull stripping of magnetic resonance images (MRI) is an essential step in neuroimaging studies, the accuracy of which can severely affect subsequent image processing procedures. Current automatic brain extraction methods demonstr
Externí odkaz:
http://arxiv.org/abs/2005.08460
Brain gender differences have been known for a long time and are the possible reason for many psychological, psychiatric and behavioral differences between males and females. Predicting genders from brain functional connectivity (FC) can build the re
Externí odkaz:
http://arxiv.org/abs/2005.08431
Autor:
Liu, Yilin, Zhao, Gengyan, Nacewicz, Brendon M., Adluru, Nagesh, Kirk, Gregory R., Ferrazzano, Peter A, Styner, Martin, Alexander, Andrew L.
Recent advances in deep learning have improved the segmentation accuracy of subcortical brain structures, which would be useful in neuroimaging studies of many neurological disorders. However, most of the previous deep learning work does not investig
Externí odkaz:
http://arxiv.org/abs/1902.07289
Autor:
Zhao, Gengyan, Liu, Fang, Oler, Jonathan A., Meyerand, Mary E., Kalin, Ned H., Birn, Rasmus M.
Publikováno v:
In NeuroImage 15 July 2018 175:32-44
Autor:
Zhao, Jintao, Hu, Xiaodong, Zou, Jing, Zhao, Gengyan, Lv, Hanyu, Xu, Linyan, Xu, Ying, Hu, Xiaotang
Publikováno v:
In Nuclear Inst. and Methods in Physics Research, A 21 April 2016 816:149-159
Autor:
Colliot, Olivier, Išgum, Ivana, Zhao, Gengyan, Yoo, Youngjin, Re, Thomas J., Das, Jyotipriya, Wang, Hesheng, Kim, Michelle, Shen, Colette, Lee, Yueh, Kondziolka, Douglas, Ibrahim, Mohannad, Lian, Jun, Jain, Rajan, Zhu, Tong, Parmar, Hemant, Balter, James M., Cao, Yue, Gibson, Eli, Comaniciu, Dorin
Publikováno v:
Proceedings of SPIE; April 2023, Vol. 12464 Issue: 1 p124640J-124640J-6, 1121767p
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