12 results on '"Sae-Ryung Kang"'
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2. Explainable Deep Contrastive Federated Learning System for Early Prediction of Clinical Status in Intensive Care Unit.
3. Polyp-SES: Automatic Polyp Segmentation with Self-Enriched Semantic Model.
4. Survival Analysis based on Lung Tumor Segmentation using Global Context-aware Transformer in Multimodality.
5. Positional Multi-Cross-Attention for Bone Age Estimation Using Deep Multiple Instance Learning.
6. 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.
7. Multi-Task with Variational Autoencoder for Lung Cancer Prognosis on Clinical Data.
8. PET-Based Deep-Learning Model for Predicting Prognosis of Patients With Non-Small Cell Lung Cancer.
9. Deep learning model integrating positron emission tomography and clinical data for prognosis prediction in non-small cell lung cancer patients.
10. Correction: Deep learning model integrating positron emission tomography and clinical data for prognosis prediction in non-small cell lung cancer patients.
11. Survival time prediction by integrating cox proportional hazards network and distribution function network.
12. Esophagus Segmentation in CT Images via Spatial Attention Network and STAPLE Algorithm.
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