Kyungeun Kim

According to our database, Kyungeun Kim authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

CAMP: Continuous and Adaptive Learning Model in Pathology.

Anh Tien Nguyen, Keunho Byeon, Kyungeun Kim, Boram Song, Seoung Wan Chae, Jin Tae Kwak

CoRR, 2024

DIOR-ViT: Differential Ordinal Learning Vision Transformer for Cancer Classification in Pathology Images.

Ju Cheon Lee, Keunho Byeon, Boram Song, Kyungeun Kim, Jin Tae Kwak

CoRR, 2024

DAX-Net: A dual-branch dual-task adaptive cross-weight feature fusion network for robust multi-class cancer classification in pathology images.

Doanh C. Bui, Boram Song, Kyungeun Kim, Jin Tae Kwak

Comput. Methods Programs Biomed., 2024

2023

Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images.

Syed Farhan Abbas, Trinh Thi Le Vuong, Kyungeun Kim, Boram Song, Jin Tae Kwak

Medical Image Anal., December, 2023

CaMeL-Net: Centroid-aware metric learning for efficient multi-class cancer classification in pathology images.

Jaeung Lee, Chiwon Han, Kyungeun Kim, Gi-Ho Park, Jin Tae Kwak

Comput. Methods Programs Biomed., November, 2023

2022

Multi-Scale Binary Pattern Encoding Network for Cancer Classification in Pathology Images.

Trinh Thi Le Vuong, Boram Song, Kyungeun Kim, Yong M. Cho, Jin Tae Kwak

IEEE J. Biomed. Health Informatics, 2022

SONNET: A Self-Guided Ordinal Regression Neural Network for Segmentation and Classification of Nuclei in Large-Scale Multi-Tissue Histology Images.

Tan N. N. Doan, Boram Song, Trinh Thi Le Vuong, Kyungeun Kim, Jin Tae Kwak

IEEE J. Biomed. Health Informatics, 2022

GradMix for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets.

Tan N. N. Doan, Kyungeun Kim, Boram Song, Jin Tae Kwak

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Unsupervised Tumor Characterization via Conditional Generative Adversarial Networks.

Quoc Dang Vu, Kyungeun Kim, Jin Tae Kwak

IEEE J. Biomed. Health Informatics, 2021

Joint categorical and ordinal learning for cancer grading in pathology images.

Trinh Thi Le Vuong, Kyungeun Kim, Boram Song, Jin Tae Kwak

Medical Image Anal., 2021

Ranking Loss: A Ranking-Based Deep Neural Network for Colorectal Cancer Grading in Pathology Images.

Trinh Thi Le Vuong, Kyungeun Kim, Boram Song, Jin Tae Kwak

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2019

Scale embedding shared neural networks for multiscale histological analysis of prostate cancer.

Quy Dinh Duong, Quoc Dang Vu, Daigeun Lee, Stephen M. Hewitt, Kyungeun Kim, Jin Tae Kwak

Proceedings of the Medical Imaging 2019: Digital Pathology, 2019