Statistical verification code and supporting analysis data for "Deep Learning-Based Computer-Aided Detection for Precise Detection of Cerebral Microbleeds"

Kim, Hyug-Gi, Lee, Eunwoo, Yoon, Jeong Taek, Yeo, Inkeon, Lee, Jin San, Lee, Minho, Jo, Sang-Yeong, Song, Danbi, Jang, Hanna, Kim, Donghyeon, Lee, Kijeong, Lee, Kyung Mi

Open source

DOI
10.5281/zenodo.23182105
Published
2026
Container
Not recorded
Publisher
Zenodo
Open access
no

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.5281/zenodo.23182105,
  title = {Statistical verification code and supporting analysis data for "Deep Learning-Based Computer-Aided Detection for Precise Detection of Cerebral Microbleeds"},
  author = {Kim, Hyug-Gi and Lee, Eunwoo and Yoon, Jeong Taek and Yeo, Inkeon and Lee, Jin San and Lee, Minho and Jo, Sang-Yeong and Song, Danbi and Jang, Hanna and Kim, Donghyeon and Lee, Kijeong and Lee, Kyung Mi},
  year = {2026},
  doi = {10.5281/zenodo.23182105},
  url = {https://doi.org/10.5281/zenodo.23182105}
}

RIS

TY  - JOUR
TI  - Statistical verification code and supporting analysis data for "Deep Learning-Based Computer-Aided Detection for Precise Detection of Cerebral Microbleeds"
AU  - Kim, Hyug-Gi
AU  - Lee, Eunwoo
AU  - Yoon, Jeong Taek
AU  - Yeo, Inkeon
AU  - Lee, Jin San
AU  - Lee, Minho
AU  - Jo, Sang-Yeong
AU  - Song, Danbi
AU  - Jang, Hanna
AU  - Kim, Donghyeon
AU  - Lee, Kijeong
AU  - Lee, Kyung Mi
PY  - 2026
DO  - 10.5281/zenodo.23182105
UR  - https://doi.org/10.5281/zenodo.23182105
ER  - 

APA

Hyug-Gi, K., Eunwoo, L., Taek, Y. J., Inkeon, Y., San, L. J., Minho, L., Sang-Yeong, J., Danbi, S., Hanna, J., Donghyeon, K., Kijeong, L., & Mi, L. K. (2026). Statistical verification code and supporting analysis data for "Deep Learning-Based Computer-Aided Detection for Precise Detection of Cerebral Microbleeds". https://doi.org/10.5281/zenodo.23182105

Source records