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Kyungeun Kim
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2020 – today
- 2024
- [j7]Doanh C. Bui
, Boram Song
DAX-Net: A dual-branch dual-task adaptive cross-weight feature fusion network for robust multi-class cancer classification in pathology images. Comput. Methods Programs Biomed. 248: 108112 (2024) - [i3]Ju Cheon Lee, Keunho Byeon, Boram Song, Kyungeun Kim, Jin Tae Kwak:
DIOR-ViT: Differential Ordinal Learning Vision Transformer for Cancer Classification in Pathology Images. CoRR abs/2407.08503 (2024) - [i2]Anh Tien Nguyen, Keunho Byeon, Kyungeun Kim, Boram Song, Seoung Wan Chae, Jin Tae Kwak:
CAMP: Continuous and Adaptive Learning Model in Pathology. CoRR abs/2407.09030 (2024) - 2023
- [j6]Jaeung Lee, Chiwon Han, Kyungeun Kim, Gi-Ho Park
CaMeL-Net: Centroid-aware metric learning for efficient multi-class cancer classification in pathology images. Comput. Methods Programs Biomed. 241: 107749 (2023) - [j5]Syed Farhan Abbas, Trinh Thi Le Vuong
Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images. Medical Image Anal. 90: 102936 (2023) - 2022
- [j4]Trinh Thi Le Vuong
Multi-Scale Binary Pattern Encoding Network for Cancer Classification in Pathology Images. IEEE J. Biomed. Health Informatics 26(3): 1152-1163 (2022) - [j3]Tan N. N. Doan, Boram Song
SONNET: A Self-Guided Ordinal Regression Neural Network for Segmentation and Classification of Nuclei in Large-Scale Multi-Tissue Histology Images. IEEE J. Biomed. Health Informatics 26(7): 3218-3228 (2022) - [c3]Tan N. N. Doan, Kyungeun Kim, Boram Song, Jin Tae Kwak:
GradMix for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets. MICCAI (2) 2022: 171-180 - [i1]Tan Nhu Nhat Doan, Kyungeun Kim, Boram Song, Jin Tae Kwak:
GradMix for nuclei segmentation and classification in imbalanced pathology image datasets. CoRR abs/2210.12938 (2022) - 2021
- [j2]Trinh Thi Le Vuong
Joint categorical and ordinal learning for cancer grading in pathology images. Medical Image Anal. 73: 102206 (2021) - [j1]Quoc Dang Vu, Kyungeun Kim, Jin Tae Kwak
Unsupervised Tumor Characterization via Conditional Generative Adversarial Networks. IEEE J. Biomed. Health Informatics 25(2): 348-357 (2021) - [c2]Trinh Thi Le Vuong
Ranking Loss: A Ranking-Based Deep Neural Network for Colorectal Cancer Grading in Pathology Images. MICCAI (8) 2021: 540-549
2010 – 2019
- 2019
- [c1]Quy Dinh Duong, Quoc Dang Vu, Daigeun Lee, Stephen M. Hewitt, Kyungeun Kim, Jin Tae Kwak
Scale embedding shared neural networks for multiscale histological analysis of prostate cancer. Digital Pathology 2019: 1095606
Coauthor Index
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