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2020 – today
- 2024
[j7]Doanh C. Bui
, Boram Song, Kyungeun Kim, Jin Tae Kwak:
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, Jin Tae Kwak:
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, Kyungeun Kim, Boram Song, Jin Tae Kwak:
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, Boram Song, Kyungeun Kim, Yong M. Cho, Jin Tae Kwak:
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, Trinh Thi Le Vuong, Kyungeun Kim, Jin Tae Kwak:
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, Kyungeun Kim, Boram Song, Jin Tae Kwak:
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, Kyungeun Kim, Boram Song, Jin Tae Kwak:
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. Medical Imaging: Digital Pathology 2019: 1095606
Coauthor Index
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