OCELOT: Overlapped Cell on Tissue Dataset for Histopathology J Ryu, AV Puche, JW Shin, S Park, B Brattoli, J Lee, W Jung, SI Cho, ... CVPR, 2023, 2023 | 44 | 2023 |
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 | 28 | 2022 |
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, 2023 | 13 | 2023 |
Metaperturb: Transferable regularizer for heterogeneous tasks and architectures JU Ryu, J Shin, HB Lee, SJ Hwang NeurIPS, 2020, 2020 | 8 | 2020 |
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 | 6 | 2022 |
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 | 6 | 2022 |
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 85 (1), 81-91, 2024 | 3 | 2024 |
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 | 1 | 2023 |
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 | 1 | 2022 |
A universal immunohistochemistry analyzer for generalizing AI-driven assessment of immunohistochemistry across immunostains and cancer types B Brattoli, M Mostafavi, T Lee, W Jung, J Ryu, S Park, J Park, S Pereira, ... NPJ Precision Oncology 8 (1), 1-13, 2024 | | 2024 |
Generalizing AI-driven Assessment of Immunohistochemistry across Immunostains and Cancer Types: A Universal Immunohistochemistry Analyzer B Brattoli, M Mostafavi, T Lee, W Jung, J Ryu, S Park, J Park, S Pereira, ... medRxiv, 2024.07. 16.24310406, 2024 | | 2024 |
Method and apparatus for analyzing pathological slide images RYU Jeongun, S Jaewoong, AV PUCHE, P Seonwook, B Brattoli, ... US Patent App. 18/506,741, 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, ... MODERN PATHOLOGY 35 (SUPPL 2), 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 |
LNCS 14373 SA Ahmadi, S Pereira | | |