Learning meaningful representation of single-neuron morphology via large-scale pre-training

Authors

Institutions

Publication Details

Journal
Bioinformatics
Published
2024-09-01
DOI
https://doi.org/10.1093/bioinformatics/btae395
Citations
4
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
2.65

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Learning meaningful representation of single-neuron morphology via large-scale pre-training

Yimin Fan, Yaxuan Li, Yu Li, Lei Li et al.
4 citations
Bioinformatics
Cell Image Analysis Techniques
2.65
article

Learning meaningful representation of single-neuron morphology via large-scale pre-training

Yimin Fan, Yaxuan Li, Yu Li, Lei Li, Liang Hong, Yunhua Zhong
article en
4 citations

Abstract

No abstract available for this paper.
BioinformaticsVol. 40(Supplement_2)
Chinese University of Hong Kong (HK), Harbin Institute of Technology (CN), Nanjing University (CN)
Innovation and Technology Commission, Chinese University of Hong Kong
Good health and well-being
Openalex Percentile: Top 10%
Cell Image Analysis Techniques
2.65
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.