Sae-Ryung Kang

13 papers B 2Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
AttCo: Attention-based co-Learning fusion of deep feature representation for medical image segmentation using multimodality.
Neural Networks
Duy-Phuong Dao, Hyung-Jeong Yang, Soo-Hyung Kim, Sae-Ryung Kang
2024 J jnl
A comparison between centralized and asynchronous federated learning approaches for survival outcome prediction using clinical and PET data from non-small cell lung cancer patients.
Comput. Methods Programs Biomed.
Thi Tuong Vi Vo, Tae-ho Shin, Hyung-Jeong Yang, Sae-Ryung Kang, Soo-Hyung Kim
2024 J jnl
Explainable Deep Contrastive Federated Learning System for Early Prediction of Clinical Status in Intensive Care Unit.
IEEE Access
Trong-Nghia Nguyen, Hyung-Jeong Yang, Bo-Gun Kho, Sae-Ryung Kang, Soo-Hyung Kim
2024 J jnl
Polyp-SES: Automatic Polyp Segmentation with Self-Enriched Semantic Model.
CoRR
Quang Vinh Nguyen, Thanh Hoang Son Vo, Sae-Ryung Kang, Soo-Hyung Kim
2024 — conf
Polyp-SES: Automatic Polyp Segmentation with Self-enriched Semantic Model.
ACCV (2)
Quang Vinh Nguyen, Thanh Hoang Son Vo, Sae-Ryung Kang, Soo-Hyung Kim
2023 J jnl
Deep learning model integrating positron emission tomography and clinical data for prognosis prediction in non-small cell lung cancer patients.
BMC Bioinform.
Seungwon Oh, Sae-Ryung Kang, In-Jae Oh, Min-Soo Kim
2022 J jnl
Correction: Deep learning model integrating positron emission tomography and clinical data for prognosis prediction in non-small cell lung cancer patients.
BMC Bioinform.
Seungwon Oh, Sae-Ryung Kang, In-Jae Oh, Min-Soo Kim
2022 B conf
Positional Multi-Cross-Attention for Bone Age Estimation Using Deep Multiple Instance Learning.
ICPR
Thanh Cong Do, Hyung-Jeong Yang, Sae-Ryung Kang, Soo-Hyung Kim, Guee-Sang Lee, Jung-Joon Min
2022 B conf
Survival Analysis based on Lung Tumor Segmentation using Global Context-aware Transformer in Multimodality.
ICPR
Duy-Phuong Dao, Hyung-Jeong Yang, Ngoc-Huynh Ho, Sudarshan Pant, Soo-Hyung Kim, Guee-Sang Lee, In-Jae Oh, Sae-Ryung Kang
2021 J jnl
Esophagus Segmentation in CT Images via Spatial Attention Network and STAPLE Algorithm.
Sensors
Minh-Trieu Tran, Soo-Hyung Kim, Hyung-Jeong Yang, Guee-Sang Lee, In-Jae Oh, Sae-Ryung Kang
2021 J jnl
PET-Based Deep-Learning Model for Predicting Prognosis of Patients With Non-Small Cell Lung Cancer.
IEEE Access
Seungwon Oh, Jaena Im, Sae-Ryung Kang, In-Jae Oh, Min-Soo Kim
2021 J jnl
Survival time prediction by integrating cox proportional hazards network and distribution function network.
BMC Bioinform.
Eu-Tteum Baek, Hyung Jeong Yang, Soo-Hyung Kim, Guee-Sang Lee, In-Jae Oh, Sae-Ryung Kang, Jung-Joon Min
2020 — conf
Multi-Task with Variational Autoencoder for Lung Cancer Prognosis on Clinical Data.
SMA
Thanh-Hung Vo, Gueesang Lee, Hyung-Jeong Yang, Sae-Ryung Kang, In-Jae Oh, Soo-Hyung Kim