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Publications
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AI Research
Bayesian optimization meets self-distillation
AUTHOR
HyunJae Lee et al.
PUBLICATION
ICCV 2023
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AI
AI Research
Benchmarking self-supervised learning on diverse pathology datasets
AUTHOR
Mingu Kang, Heon Song et al.
PUBLICATION
CVPR 2023
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AI
AI Research
Enhancing breast cancer risk prediction by incorporating prior images
AUTHOR
Hyeonsoo Lee et al.
PUBLICATION
MICCAI 2023
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AI
AI Research
OCELOT: Overlapped cell on tissue dataset for histopathology
AUTHOR
Jeongun Ryu, Aaron Valero Puche, JaeWoong Shin et al.
PUBLICATION
CVPR 2023
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AI
OOOE: Only-One-Object-Exists assumption to find very small objects in chest radiographs
AUTHOR
Gunhee Nam et al.
PUBLICATION
MICCAI AMAI Workshop 2022
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AI
Variability Matters : Evaluating inter-rater variability in histopathology for robust cell detection
AUTHOR
Cholmin Kang et al.
PUBLICATION
ECCV AIMIA workshop 2022
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AI
Did you get what you paid for? Rethinking annotation cost of deep learning based computer aided detection in chest radiographs
AUTHOR
Tae Soo Kim et al.
PUBLICATION
MICCAI 2022
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AI
Intra-class contrastive learning improves computer aided diagnosis of breast cancer in mammography
AUTHOR
Kihyun You et al.
PUBLICATION
MICCAI 2022
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AI
Stereo depth from events cameras: Concentrate and focus on the future
AUTHOR
Yeongwoo Nam et al.
PUBLICATION
CVPR 2022
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AI
Interactive multi-class tiny-object detection
AUTHOR
Chunggi Lee et al.
PUBLICATION
CVPR 2022
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