| Artificial intelligence–powered spatial analysis of tumor-infiltrating lymphocytes as complementary biomarker for immune checkpoint inhibition in non–small-cell lung cancer S Park, CY Ock, H Kim, S Pereira, S Park, M Ma, S Choi, S Kim, S Shin, ... Journal of Clinical Oncology 40 (17), 1916-1928, 2022 | 127 | 2022 |
| Progressive attention memory network for movie story question answering J Kim, M Ma, K Kim, S Kim, CD Yoo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 87 | 2019 |
| Modality shifting attention network for multi-modal video question answering J Kim, M Ma, T Pham, K Kim, CD Yoo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 86 | 2020 |
| Vlanet: Video-language alignment network for weakly-supervised video moment retrieval M Ma, S Yoon, J Kim, Y Lee, S Kang, CD Yoo Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 79 | 2020 |
| Gaining extra supervision via multi-task learning for multi-modal video question answering J Kim, M Ma, K Kim, S Kim, CD Yoo 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 32 | 2019 |
| Artificial intelligence–powered programmed death ligand 1 analyser reduces interobserver variation in tumour proportion score for non–small cell lung cancer with better … S Choi, SI Cho, M Ma, S Park, S Pereira, BJ Aum, S Shin, K Paeng, D Yoo, ... European Journal of Cancer 170, 17-26, 2022 | 29 | 2022 |
| Deep learning model improves tumor-infiltrating lymphocyte evaluation and therapeutic response prediction in breast cancer S Choi, SI Cho, W Jung, T Lee, SJ Choi, S Song, G Park, S Park, M Ma, ... NPJ Breast Cancer 9 (1), 71, 2023 | 7 | 2023 |
| Artificial intelligence-powered human epidermal growth factor receptor 2 (HER2) analyzer in breast cancer as an assistance tool for pathologists to reduce interobserver variation. M Jung, SG Song, SI Cho, W Jung, C Oum, H Song, M Ma, S Park, ... Journal of Clinical Oncology 40 (16_suppl), e12543-e12543, 2022 | 7 | 2022 |
| 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 |
| Variability matters: Evaluating inter-rater variability in histopathology for robust cell detection C Kang, C Lee, H Song, M Ma, S Pereira European Conference on Computer Vision, 552-565, 2022 | 4 | 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 | 4 | 2022 |
| Artificial intelligence-powered spatial analysis of tumor-infiltrating lymphocytes predicts survival after immune checkpoint inhibitor therapy across multiple cancer types. J Shen, T Lee, JE Hwang, YL Choi, SH Lee, H Kim, J Chung, S Bogdan, ... Journal of Clinical Oncology 39 (15_suppl), 2607-2607, 2021 | 4 | 2021 |
| Diagnostic assessment of deep learning Algorithms for frozen tissue section analysis in women with breast cancer YG Kim, IH Song, SY Cho, S Kim, M Kim, S Ahn, H Lee, DH Yang, N Kim, ... Cancer Research and Treatment: Official Journal of Korean Cancer Association …, 2023 | 3 | 2023 |
| Yoo Chang D.. 2020 M Minuk, Y Sunjae, K Junyeong, L Youngjoon, K Sunghun VLANet: Video-language alignment network for weakly-supervised video moment …, 0 | 3 | |
| Deep learning-based ensemble model using hematoxylin and eosin (H&E) whole slide images (WSIs) for the prediction of MET mutations in non-small cell lung cancer (NSCLC). YL Choi, S Park, HA Jung, JM Sun, SH Lee, JS Ahn, MJ Ahn, T Lee, ... Journal of Clinical Oncology 41 (16_suppl), e13578-e13578, 2023 | 2 | 2023 |
| Method for processing image, and apparatus therefor K Kim, CD Yoo, KIM Junyeong, MA Minuk US Patent App. 17/427,471, 2022 | 2 | 2022 |
| Pathologic validation of artificial intelligence-powered prediction of combined positive score of PD-L1 immunohistochemistry in urothelial carcinoma. JH Park, KS Lee, E Choi, W Jung, J Aum, S Pereira, S Park, M Ma, S Lee, ... Journal of Clinical Oncology 39 (15_suppl), e16518-e16518, 2021 | 2 | 2021 |
| Clinical performance of artificial intelligence-powered annotation of tumor cell PD-L1 expression for treatment of immune-checkpoint inhibitor (ICI) in advanced non-small cell … H Kim, S Choi, S Kim, J Aum, S Pereira, S Park, M Ma, S Shin, K Paeng, ... Journal of Clinical Oncology 39 (15_suppl), 9026-9026, 2021 | 2 | 2021 |
| 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 | 1 | 2024 |
| Artificial intelligence–powered tumor-infiltrating lymphocytes analyzer to reveal distinct immune landscapes in breast cancer by molecular subtype and HER2 score. S Shin, SY Cho, EY Cho, SW Kim, M Jung, SG Song, Y Lim, SI Cho, S Kim, ... Journal of Clinical Oncology 41 (16_suppl), 1049-1049, 2023 | 1 | 2023 |
