| 논문 및 연구활동 |
- 연구활동(주요논문)
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[논문]
박인혁, 김원화, 유종빈,
Style-KD : Class-Imbalanced Medical Image Classification via Style Knowledge Distillation
, Biomedical Signal Processing and Control
, Vol.91
(May, 2024)
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[논문]
고준형, 유종빈,
Spatial Bias for attention-free non-local neural networks
, EXPERT SYSTEMS WITH APPLICATIONS
(Mar, 2024)
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[논문]
오승민, 손상용, 송정호, 한상욱, 허훈, 신호정, 유종빈,
Deep learning using computed tomography to identify high-risk patients for acute small bowel obstruction: development and validation of a prediction model : A retrospective cohort study
, International Journal of Surgery
(Sep, 2023)
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[논문]
윤동주, 임종우, 유종빈,
Dual aggregated feature pyramid network for multi label classification
, PATTERN RECOGNITION LETTERS
, Vol.144
, pp.75
-81
(Apr, 2021)
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[논문]
유종빈, Ming-Hsuan Yang, 임종우,
Unsupervised feature learning for self-tuning neural networks
, NEURAL NETWORKS
, Vol.133
, pp.103
-111
(Jan, 2021)
- 국제학술논문지
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[논문]
박인혁, 김원화, 유종빈,
Style-KD : Class-Imbalanced Medical Image Classification via Style Knowledge Distillation
, Biomedical Signal Processing and Control
, Vol.91
(May, 2024)
-
[논문]
고준형, 유종빈,
Spatial Bias for attention-free non-local neural networks
, EXPERT SYSTEMS WITH APPLICATIONS
(Mar, 2024)
-
[논문]
오승민, 손상용, 송정호, 한상욱, 허훈, 신호정, 유종빈,
Deep learning using computed tomography to identify high-risk patients for acute small bowel obstruction: development and validation of a prediction model : A retrospective cohort study
, International Journal of Surgery
(Sep, 2023)
-
[논문]
윤동주, 임종우, 유종빈,
Dual aggregated feature pyramid network for multi label classification
, PATTERN RECOGNITION LETTERS
, Vol.144
, pp.75
-81
(Apr, 2021)
-
[논문]
유종빈, Ming-Hsuan Yang, 임종우,
Unsupervised feature learning for self-tuning neural networks
, NEURAL NETWORKS
, Vol.133
, pp.103
-111
(Jan, 2021)
-
[논문]
유종빈, 권기택, 강보경, 배준원, 안치원, 이동건, 오재훈, 임종우,
Deep learning algorithms for detecting and visualising intussusception on plain abdominal radiography in children: a retrospective multicenter study
, SCIENTIFIC REPORTS
(Oct, 2020)
- 국제학술발표
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[학술회의]
유종빈, 한동윤, 임종우,
Gramian Attention Heads are Strong yet Efficient Vision Learners
, International Conference on Computer Vision 2023
, pp.5841
-5851
(Oct, 2023)
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[학술회의]
박원기, 박인혁, 유종빈, 김성은,
Robust Asymmetric Loss for Multi-Label Long-Tailed Learning
, Computer Vision for Automated Medical Diagnosis ICCV 2023 Workshop
(Oct, 2023)
- 국내학술발표
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[학술회의]
문주현, 유종빈, 임재성,
시계열 데이터의 CNN 적용을 위한 전처리 속도 개선 방법
, 2023 한국군사과학기술학회 종합학술대회
(Jun, 2023)
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