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Jeongun Ryu
Jeongun Ryu
Lunit
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Title
Cited by
Cited by
Year
Interactive Multi-Class Tiny-Object Detection
C Lee, S Park, H Song, J Ryu, S Kim, H Kim, S Pereira, D Yoo
CVPR, 2022, 2022
192022
OCELOT: Overlapped Cell on Tissue Dataset for Histopathology
J Ryu, AV Puche, JW Shin, S Park, B Brattoli, J Lee, W Jung, SI Cho, ...
arXiv preprint arXiv:2303.13110, 2023
162023
Metaperturb: Transferable regularizer for heterogeneous tasks and architectures
JU Ryu, J Shin, HB Lee, SJ Hwang
Advances in Neural Information Processing Systems 33, 11501-11512, 2020
72020
Artificial intelligence (AI)–powered spatial analysis of tumor-infiltrating lymphocytes (TIL) for prediction of response to neoadjuvant chemotherapy (NAC) in triple-negative …
HJ Lee, SY Cho, EY Cho, Y Lim, SI Cho, W Jung, S Song, M Kang, J Ryu, ...
Journal of Clinical Oncology 40 (16_suppl), 595-595, 2022
42022
Artificial intelligence-powered whole-slide image analyzer reveals a distinctive distribution of tumor-infiltrating lymphocytes in neuroendocrine neoplasms
HG Cho, SI Cho, S Choi, W Jung, J Shin, G Park, J Moon, M Ma, H Song, ...
Diagnostics 12 (10), 2340, 2022
32022
Tumor-infiltrating lymphocyte enrichment predicted by CT radiomics analysis is associated with clinical outcomes of non-small cell lung cancer patients receiving immune …
C Park, DY Jeong, Y Choi, YJ Oh, J Kim, J Ryu, K Paeng, SH Lee, CY Ock, ...
Frontiers in Immunology 13, 1038089, 2023
22023
Exploring expression levels of HER2, HER3, MET, Claudin18. 2, and MUC16 across 16 cancer types using an artificial intelligence-powered immunohistochemistry analyzer.
S Shin, SI Cho, S Choi, T Lee, S Kim, W Jung, M Mostafavi, B Brattoli, ...
Journal of Clinical Oncology 41 (16_suppl), 3135-3135, 2023
12023
1285 Spatial analysis of tumor-infiltrating lymphocytes (TILs) based on HER2 expression across multiple cancer types
S Kim, S Kim, Y Lim, G Park, S Song, H Song, S Park, J Ryu, S Pereira, ...
Journal for ImmunoTherapy of Cancer 10 (Suppl 2), 2022
12022
An artificial intelligence‐powered PD‐L1 combined positive score (CPS) analyser in urothelial carcinoma alleviating interobserver and intersite variability
KS Lee, E Choi, SI Cho, S Park, J Ryu, AV Puche, M Ma, J Park, W Jung, ...
Histopathology, 2024
2024
1308 Artificial intelligence (AI)-powered immune phenotyping based on programmed death ligand 1 (PD-L1) immunohistochemistry (IHC) in triple negative breast cancer (TNBC)
S Shin, G Park, SI Cho, T Lee, J Ro, S Kim, S Shin, A Valero, S Park, ...
Journal for ImmunoTherapy of Cancer 11 (Suppl 1), 2023
2023
Effect of an artificial intelligence–powered programmed death-ligand 1 combined positive score analyzer in urothelial cancer on inter-observer and inter-site variability.
SI Cho, JH Park, KS Lee, E Choi, W Jung, S Song, S Kim, J Shin, J Ryu, ...
Journal of Clinical Oncology 41 (16_suppl), e13546-e13546, 2023
2023
Universal immunohistochemistry positivity classification of cancer cells across multiple cancer types and antibodies using artificial intelligence
B Brattoli, M Mostafavi, S Choi, T Lee, S Kim, W Jung, SI Cho, J Lee, ...
Cancer Research 83 (7_Supplement), 5392-5392, 2023
2023
1706P Artificial intelligence-powered tumor purity assessment from H&E whole slide images associates with variant allele frequency of somatic mutations across 23 cancer types …
S Kim, G Park, S Song, H Song, J Ryu, S Park, S Pereira, K Paeng, ...
Annals of Oncology 33, S1320, 2022
2022
Artificial Intelligence-Powered Tumor Purity Assessment From H&E Whole Slide Images Correlates with Consensus Purity Estimation Based on Pathological Examination and Next …
G Park, S Choi, S Kim, SI Cho, W Jung, J Ryu, M Ma, D Yoo, K Paeng, ...
LABORATORY INVESTIGATION 102 (SUPPL 1), 1256-1257, 2022
2022
830 Artificial intelligence-powered spatial analysis of tumor-infiltrating lymphocytes reveals immune-excluded phenotype related to APOBEC signature and clonal evolution of cancer
CY Ock, S Song, G Park, C Park, SI Cho, S Shin, Y Lim, W Jung, H Song, ...
Journal for ImmunoTherapy of Cancer 9 (Suppl 2), 2021
2021
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