Login / Signup
Kyungeun Kim
ORCID
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 13
Top Topics
Microscopic Images
Neural Network
Image Features
Multiscale
Top Venues
CoRR
IEEE J. Biomed. Health Informatics
Medical Image Anal.
Comput. Methods Programs Biomed.
</>
Publications
</>
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 (2024)
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
(2024)
Anh Tien Nguyen
,
Keunho Byeon
,
Kyungeun Kim
,
Boram Song
,
Seoung Wan Chae
,
Jin Tae Kwak
CAMP: Continuous and Adaptive Learning Model in Pathology.
CoRR
(2024)
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 (2023)
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 (2023)
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) (2022)
Tan Nhu Nhat Doan
,
Kyungeun Kim
,
Boram Song
,
Jin Tae Kwak
GradMix for nuclei segmentation and classification in imbalanced pathology image datasets.
CoRR
(2022)
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) (2022)
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)
Quoc Dang Vu
,
Kyungeun Kim
,
Jin Tae Kwak
Unsupervised Tumor Characterization via Conditional Generative Adversarial Networks.
IEEE J. Biomed. Health Informatics
25 (2) (2021)
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 (2021)
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)
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)