Data-Driven Morphological Feature Perception of Single Neuron With Graph Neural Network-Reference-Cited by-同舟云学术

Data-Driven Morphological Feature Perception of Single Neuron With Graph Neural Network

Published:2023-10 Issue:10 Volume:42 Page:3069-3079
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Zhu Tianfang¹,Yao Gang¹^ORCID,Hu Dongli¹,Xie Chuangchuang¹^ORCID,Li Pengcheng²^ORCID,Yang Xiaoquan²,Gong Hui²,Luo Qingming³^ORCID,Li Anan²^ORCID

Affiliation:

1. Britton Wuhan National Laboratory for Optoelectronics, the MoE Key Laboratory for Biomedical Photonics, and the Chance Center for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, China

2. Wuhan National Laboratory for Optoelectronics, the MoE Key Laboratory for Biomedical Photonics, and the Britton Chance Center for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, China

3. Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, China

Funder

STI2030-Major Projects

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

http://xplorestaging.ieee.org/ielx7/42/10269089/10123059.pdf?arnumber=10123059

Reference57 articles.

1. A Topological Representation of Branching Neuronal Morphologies

2. Integrated Morphoelectric and Transcriptomic Classification of Cortical GABAergic Cells

3. A Systematic Evaluation of Interneuron Morphology Representations for Cell Type Discrimination

4. Distinct descending motor cortex pathways and their roles in movement

5. MorphVAE: Generating neural morphologies from 3D-walks using a variational autoencoder with spherical latent space;laturnus;Proc 38th Int Conf Mach Learn,2021

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