이승학 프로필 사진

이승학

Lee, SeungHak

통일한국보건의학연구소

ORCID

연구분야

  • deep learning, 
  • machine learing, 
  • medical image process, 
  • 딥러닝, 
  • 머신러닝, 
  • 의료영상처리

자료 필터

자료유형

발행연도

2021 ~ 2026
2021 2026

키워드

언어

전체 13건 중 1번부터 10번까지의 결과를 표시합니다.

2026
2025
2024
Article

Analysis of the association between vestibular schwannoma and hearing status using a newly developed radiomics technique

  • 2024-06
  • European Archives of Oto-Rhino-Laryngology
  • Springer Verlag
2022
Article

Robust multimodal fusion network using adversarial learning for brain tumor grading

  • Jeong, Seung-wan ; 
  • Cho, Hwan-ho ; 
  • Lee, Seunghak ; 
  • Park, Hyunjin
  • 2022-11
  • Computer Methods and Programs in Biomedicine
  • Elsevier BV
Article

Incremental benefits of size-zone matrix-based radiomics features for the prognosis of lung adenocarcinoma: advantage of spatial partitioning on tumor evaluation

  • Kim, Eunjin ; 
  • Lee, Geewon ; 
  • Lee, Seung-hak ; 
  • Cho, Hwanho ; 
  • Lee, Ho Yun ; 
  • 외 1명
  • 2022-11
  • European Radiology
  • Springer Verlag
12 끝