APA (7th ed.) Citation

M, H., M, V., CB, S., N, N., P, G., & BE, B. (2020). A topological encoding convolutional neural network for segmentation of 3D multiphoton images of brain vasculature using persistent homology. Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops, 2020, 4262. https://doi.org/10.1109/cvprw50498.2020.00503

Chicago Style (17th ed.) Citation

M, Haft-Javaherian, Villiger M, Schaffer CB, Nishimura N, Golland P, and Bouma BE. "A Topological Encoding Convolutional Neural Network for Segmentation of 3D Multiphoton Images of Brain Vasculature Using Persistent Homology." Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops 2020 (2020): 4262. https://doi.org/10.1109/cvprw50498.2020.00503.

MLA (9th ed.) Citation

M, Haft-Javaherian, et al. "A Topological Encoding Convolutional Neural Network for Segmentation of 3D Multiphoton Images of Brain Vasculature Using Persistent Homology." Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops, vol. 2020, 2020, p. 4262, https://doi.org/10.1109/cvprw50498.2020.00503.