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Minuk Ma
Minuk Ma
University of British Columbia
Verified email at kaist.ac.kr
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Year
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, 2022
1102022
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
852019
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
812020
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
692020
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
332019
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
242022
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
62022
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
42021
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
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
32022
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 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
22023
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
22023
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
22023
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
22021
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
12023
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
12022
Method for processing image, and apparatus therefor
K Kim, CD Yoo, KIM Junyeong, MA Minuk
US Patent App. 17/427,471, 2022
12022
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
12021
ImaGAN: Unsupervised Training of Conditional Joint CycleGAN for Transferring Style with Core Structures in Content Preserved
KM Bae, M Ma, H Jang, M Ju, H Park, CD Yoo
Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019
12019
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