Wang, Yifan, Yan, Guoli, Zhu, Haikuan, Buch, Sagar, Wang, Ying, Haacke, Ewart Mark, Hua, Jing, and Zhong, Zichun. VC-Net: Deep Volume-Composition Networks for Segmentation and Visualization of Highly Sparse and Noisy Image Data. Retrieved from https://par.nsf.gov/biblio/10199585. IEEE transactions on visualization and computer graphics 27.1 Web. doi:10.1109/TVCG.2020.3030374.

Wang, Yifan, Yan, Guoli, Zhu, Haikuan, Buch, Sagar, Wang, Ying, Haacke, Ewart Mark, Hua, Jing, & Zhong, Zichun. VC-Net: Deep Volume-Composition Networks for Segmentation and Visualization of Highly Sparse and Noisy Image Data. IEEE transactions on visualization and computer graphics, 27 (1). Retrieved from https://par.nsf.gov/biblio/10199585. https://doi.org/10.1109/TVCG.2020.3030374

Wang, Yifan, Yan, Guoli, Zhu, Haikuan, Buch, Sagar, Wang, Ying, Haacke, Ewart Mark, Hua, Jing, and Zhong, Zichun. "VC-Net: Deep Volume-Composition Networks for Segmentation and Visualization of Highly Sparse and Noisy Image Data". IEEE transactions on visualization and computer graphics 27 (1). Country unknown/Code not available. https://doi.org/10.1109/TVCG.2020.3030374. https://par.nsf.gov/biblio/10199585.

@article{osti_10199585,
place = {Country unknown/Code not available}, title = {VC-Net: Deep Volume-Composition Networks for Segmentation and Visualization of Highly Sparse and Noisy Image Data}, url = {https://par.nsf.gov/biblio/10199585}, DOI = {10.1109/TVCG.2020.3030374}, abstractNote = {}, journal = {IEEE transactions on visualization and computer graphics}, volume = {27}, number = {1}, author = {Wang, Yifan and Yan, Guoli and Zhu, Haikuan and Buch, Sagar and Wang, Ying and Haacke, Ewart Mark and Hua, Jing and Zhong, Zichun}, }