BigNeuron: A resource to benchmark and predict best-performing algorithms for automated reconstruction of neuronal morphology
Linus Manubens-Gil,
Zhi Zhou,
Hanbo Chen,
Arvind Ramanathan,
Xiaoxiao Liu,
Yufeng Liu,
Alessandro Bria,
Todd Gillette,
Zongcai Ruan,
Jian Yang,
Miroslav Radojević,
Ting Zhao,
Li Cheng,
Lei Qu,
Siqi Liu,
Kristofer E Bouchard,
Lin Gu,
Weidong Cai,
Shuiwang Ji,
Badrinath Roysam,
Ching-Wei Wang,
Hongchuan Yu,
Amos Sironi,
Daniel Maxim Iascone,
Jie Zhou,
Erhan Bas,
Eduardo Conde-Sousa,
Paulo Aguiar,
Xiang Li,
Yujie Li,
Sumit Nanda,
Yuan Wang,
Leila Muresan,
Pascal Fua,
Bing Ye,
Hai-yan He,
Jochen F Staiger,
Manuel Peter,
Daniel N Cox,
Michel Simonneau,
Marcel Oberlaender,
Gregory Jefferis,
Kei Ito,
Paloma Gonzalez-Bellido,
Jinhyun Kim,
Edwin Rubel,
Hollis T Cline,
Hongkui Zeng,
Aljoscha Nern,
Ann-Shyn Chiang,
Jianhua Yao,
Jane Roskams,
Rick Livesey,
Janine Stevens,
Tianming Liu,
Chinh Dang,
Yike Guo,
Ning Zhong,
Georgia Tourassi,
Sean Hill,
Michael Hawrylycz,
Christof Koch,
Erik Meijering,
Giorgio A Ascoli,
Hanchuan Peng
May 2023
Publication
Nature Methods