Keunho Byeon

According to our database, Keunho Byeon authored at least 11 papers between 2022 and 2025.

Collaborative distances:

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

2025

Normal and Abnormal Pathology Knowledge-Augmented Vision-Language Model for Anomaly Detection in Pathology Images.

Jinsol Song, Jiamu Wang, Anh Tien Nguyen, Keunho Byeon, Sangjeong Ahn, Sung Hak Lee, Jin Tae Kwak

CoRR, August, 2025

VLEER: Vision and Language Embeddings for Explainable Whole Slide Image Representation.

Anh Tien Nguyen, Keunho Byeon, Kyungeun Kim, Jin Tae Kwak

CoRR, February, 2025

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

Medical Image Anal., 2025

DeLECA: Deblurring for Long and short Exposure images with a dual-branch multimodal cross attention mechanism.

Keunho Byeon, Jeewoo Lim, Jin Tae Kwak

ICT Express, 2025

Benchmarking pathology foundation models: Adaptation strategies and scenarios.

Jaeung Lee, Jeewoo Lim, Keunho Byeon, Jin Tae Kwak

Comput. Biol. Medicine, 2025

Pathology-Informed Latent Diffusion Model for Anomaly Detection in Lymph Node Metastasis.

Jiamu Wang, Keunho Byeon, Jinsol Song, Anh Tien Nguyen, Sangjeong Ahn, Sung Hak Lee, Jin Tae Kwak

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Lightweight Look-ahead Multi-context Vision Transformer.

Keunho Byeon, Jeewoo Lim, Jaeung Lee, Chiwon Han, SungYun Bay, Giho Park, Jin Tae Kwak

Proceedings of the International Conference on Electronics, Information, and Communication, 2025

2024

Benchmarking Pathology Foundation Models: Adaptation Strategies and Scenarios.

Jeaung Lee, Jeewoo Lim, Keunho Byeon, Jin Tae Kwak

CoRR, 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

2023

Centroid-Aware Feature Recalibration for Cancer Grading in Pathology Images.

Jaeung Lee, Keunho Byeon, Jin Tae Kwak

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Machine Learning-Aided Chronic Kidney Disease Diagnosis Based on Ultrasound Imaging Integrated with Computer-Extracted Measurable Features.

Sangmi Lee, Myeongkyun Kang, Keunho Byeon, Sang Eun Lee, In Ho Lee, Young Ah Kim, Shin-Wook Kang, Jung Tak Park

J. Digit. Imaging, 2022