| Benchmarking self-supervised learning on diverse pathology datasets M Kang, H Song, S Park, D Yoo, S Pereira Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 125 | 2023 |
| Augmented interpretation of HER2, ER, and PR in breast cancer by artificial intelligence analyzer: enhancing interobserver agreement through a reader study of 201 cases M Jung, SG Song, SI Cho, S Shin, T Lee, W Jung, H Lee, J Park, S Song, ... Breast Cancer Research 26 (1), 31, 2024 | 7 | 2024 |
| 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 |
| Resilience against adversarial examples: data-augmentation exploiting generative adversarial networks M Kang, HK Kim, S Lee, S Han KSII Transactions on Internet and Information Systems (TIIS) 15 (11), 4105-4121, 2021 | 5 | 2021 |
| Applying tensor decomposition to image for robustness against adversarial attack S Cho, TJ Jun, M Kang, D Kim arXiv preprint arXiv:2002.12913, 2020 | 5 | 2020 |
| CAP-GAN: Towards adversarial robustness with cycle-consistent attentional purification M Kang, TQ Tran, S Cho, D Kim 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 4 | 2021 |
| Rankingmatch: Delving into semi-supervised learning with consistency regularization and ranking loss TQ Tran, M Kang, D Kim arXiv preprint arXiv:2110.04430, 2021 | 3 | 2021 |
| A phase II open-label randomized clinical trial of preoperative durvalumab or durvalumab plus tremelimumab in resectable head and neck squamous cell carcinoma CG Kim, MH Hong, D Kim, BH Lee, H Kim, CY Ock, G Kelly, YJ Bang, ... Clinical Cancer Research 30 (10), 2097-2110, 2024 | 2 | 2024 |
| Comparison of tumor microenvironments between primary tumors and lymph node metastases in head and neck squamous cell carcinoma and their predictive role in immune checkpoint … DH Kim, JS Ahn, M Kang, G Park, Y Lim, S Hwang, CY Ock, J Koh, ... Cells 13 (18), 1557, 2024 | 1 | 2024 |
| Correlation of fragmented pattern of tumor mass captured by artificial intelligence (AI)-powered whole-slide image (WSI) analysis with biased fibroblast expansion over tumor … S Kim, S Song, G Park, S Kim, H Song, M Kang, S Pereira, CY Ock Journal of Clinical Oncology 41 (16_suppl), e14657-e14657, 2023 | 1 | 2023 |
| ReRankMatch: Semi-supervised learning with semantics-oriented similarity representation TQ Tran, M Kang, D Kim 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 1 | 2021 |
| Changes in the tumor microenvironment in recurrent head and neck squamous cell carcinoma and its implication on efficacy of immune checkpoint inhibitors DH Kim, M Kang, G Park, M Mostafavi, Y Lim, CY Ock, J Koh, YK Jeon, ... Discover Oncology 15 (1), 686, 2024 | | 2024 |
| Artificial intelligence-powered analysis of tumor-stroma ratio and fibroblast density as prognostic indicators in colorectal cancer M Jung, JY Kim, M Kang, J Lee, S Song, T Lee, W Jung, SI Cho Cancer Research 84 (6_Supplement), 276-276, 2024 | | 2024 |
| 1293 Fragmented pattern of tumor mass is related to fibroblast activation mitigating spatial interaction between tumor and immune cells S Kim, S Song, S Kim, M Kang, M Mostafavi, D Yoo, CH Ahn, S Ali, ... Journal for ImmunoTherapy of Cancer 11 (Suppl 1), 2023 | | 2023 |
| 961 Tumor-infiltrating lymphocytes in tumor microenvironment assessed by artificial intelligence powered H&E image analyzer is correlated with immunomodulatory subtype of … J Moon, CH Ahn, S Shin, S Kim, T Lee, SI Cho, Y Lim, M Kang, H Song, ... Journal for ImmunoTherapy of Cancer 11 (Suppl 1), 2023 | | 2023 |
| Dynamic change of immune phenotype assessed by artificial intelligence (AI)-powered analysis of tumor-infiltrating lymphocytes (TILs) during neoadjuvant durvalumab with or … H Kim, YW Koh, HJ Hong, DH Kim, NS Sim, HR Kim, MH Hong, CG Kim, ... Journal of Clinical Oncology 41 (16_suppl), 2578-2578, 2023 | | 2023 |
| Micron-resolution spatial analysis near the tumor-stromal border reveals a distinct density distribution of tumor-infiltrating lymphocytes and related genomic features S Song, G Park, S Kim, S Choi, S Kim, W Jung, M Kang, M Mostafavi, ... Cancer Research 83 (7_Supplement), 5389-5389, 2023 | | 2023 |
| Artificial intelligence (AI)-powered immune phenotyping to predict outcomes of immuno-oncology (IO)-based regimens in hepatocellular carcinoma (HCC). H Chon, C Kim, B Kang, J Cheon, G Kim, C Oum, S Kim, G Park, ... Journal of Clinical Oncology 41 (4_suppl), 601-601, 2023 | | 2023 |
| P1. 01-60 Prognostic Impact of PD-L1 Expression on EGFR Tyrosine Kinase Inhibition in Lung Adenocarcinoma M Kang, SH Kim, SW Yoon, KJ Suh, YJ Kim, C Ock, M Kim, B Keam, ... Journal of Thoracic Oncology 14 (10), S381-S382, 2019 | | 2019 |
Daeyoung KimProfessor of School of Computing, KAISTVerified email at kaist.ac.kr
