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 (SMA, 2020)

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)

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)

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 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 (ICPR, 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 (ICPR, 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., 2022)

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., 2023)

Polyp-SES: Automatic Polyp Segmentation with Self-enriched Semantic Model. - Quang Vinh Nguyen; Thanh Hoang Son Vo; Sae-Ryung Kang; Soo-Hyung Kim (ACCV (2), 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)

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)