Sae-Ryung Kang

According to our database, Sae-Ryung Kang authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

2024

Polyp-SES: Automatic Polyp Segmentation with Self-Enriched Semantic Model.

Quang Vinh Nguyen, Thanh Hoang Son Vo, Sae-Ryung Kang, Soo-Hyung Kim

CoRR, 2024

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.

Thi Tuong Vi Vo, Tae-ho Shin, Hyung-Jeong Yang, Sae-Ryung Kang, Soo-Hyung Kim

Comput. Methods Programs Biomed., 2024

Explainable Deep Contrastive Federated Learning System for Early Prediction of Clinical Status in Intensive Care Unit.

Trong-Nghia Nguyen, Hyung-Jeong Yang, Bo-Gun Kho, Sae-Ryung Kang, Soo-Hyung Kim

IEEE Access, 2024

2023

Deep learning model integrating positron emission tomography and clinical data for prognosis prediction in non-small cell lung cancer patients.

Seungwon Oh, Sae-Ryung Kang, In-Jae Oh, Min-Soo Kim

BMC Bioinform., December, 2023

2022

Correction: Deep learning model integrating positron emission tomography and clinical data for prognosis prediction in non-small cell lung cancer patients.

Seungwon Oh, Sae-Ryung Kang, In-Jae Oh, Min-Soo Kim

BMC Bioinform., August, 2022

Positional Multi-Cross-Attention for Bone Age Estimation Using Deep Multiple Instance Learning.

Thanh Cong Do, Hyung-Jeong Yang, Sae-Ryung Kang, Soo-Hyung Kim, Guee-Sang Lee, Jung-Joon Min

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Survival Analysis based on Lung Tumor Segmentation using Global Context-aware Transformer in Multimodality.

Duy-Phuong Dao, Hyung-Jeong Yang, Ngoc-Huynh Ho, Sudarshan Pant, Soo-Hyung Kim, Guee-Sang Lee, In-Jae Oh, Sae-Ryung Kang

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

Esophagus Segmentation in CT Images via Spatial Attention Network and STAPLE Algorithm.

Minh-Trieu Tran, Soo-Hyung Kim, Hyung-Jeong Yang, Guee-Sang Lee, In-Jae Oh, Sae-Ryung Kang

Sensors, 2021

Survival time prediction by integrating cox proportional hazards network and distribution function network.

Eu-Tteum Baek, Hyung Jeong Yang, Soo-Hyung Kim, Guee-Sang Lee, In-Jae Oh, Sae-Ryung Kang, Jung-Joon Min

BMC Bioinform., 2021

PET-Based Deep-Learning Model for Predicting Prognosis of Patients With Non-Small Cell Lung Cancer.

Seungwon Oh, Jaena Im, Sae-Ryung Kang, In-Jae Oh, Min-Soo Kim

IEEE Access, 2021

2020

Multi-Task with Variational Autoencoder for Lung Cancer Prognosis on Clinical Data.

Thanh-Hung Vo, Gueesang Lee, Hyung-Jeong Yang, Sae-Ryung Kang, In-Jae Oh, Soo-Hyung Kim

Proceedings of the SMA 2020: The 9th International Conference on Smart Media and Applications, Jeju, Republic of Korea, September 17, 2020