Deep learning-based outcome prediction using PET/CT and automatically predicted probability maps of primary tumor in patients with oropharyngeal cancer.
Comput. Methods Programs Biomed., 2024
MRI-Based Head and Neck Tumor Segmentation Using nnU-Net with 15-Fold Cross-Validation Ensemble.
Proceedings of the Head and Neck Tumor Segmentation for MR-Guided Applications, 2024
Syn_SegNet: A Joint Deep Neural Network for Ultrahigh-Field 7T MRI Synthesis and Hippocampal Subfield Segmentation in Routine 3T MRI.
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IEEE J. Biomed. Health Informatics, October, 2023
SSQLi: A Black-Box Adversarial Attack Method for SQL Injection Based on Reinforcement Learning.
Future Internet, April, 2023
TransRP: Transformer-based PET/CT feature extraction incorporating clinical data for recurrence-free survival prediction in oropharyngeal cancer.
Proceedings of the Medical Imaging with Deep Learning, 2023
Multi-view prediction of Alzheimer's disease progression with end-to-end integrated framework.
J. Biomed. Informatics, 2022
Deep Learning and Radiomics Based PET/CT Image Feature Extraction from Auto Segmented Tumor Volumes for Recurrence-Free Survival Prediction in Oropharyngeal Cancer Patients.
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Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022
Swin UNETR for Tumor and Lymph Node Segmentation Using 3D PET/CT Imaging: A Transfer Learning Approach.
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Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022
Prediction of Alzheimer's Disease Progression with Multi-Information Generative Adversarial Network.
IEEE J. Biomed. Health Informatics, 2021
Decomposition of individual-specific and individual-shared components from resting-state functional connectivity using a multi-task machine learning method.
NeuroImage, 2021
Feature level-based group lasso method for amnestic mild cognitive impairment diagnosis.
Comput. Methods Programs Biomed., 2021
Self-supervised Multi-modality Image Feature Extraction for the Progression Free Survival Prediction in Head and Neck Cancer.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021
Skip-SCSE Multi-scale Attention and Co-learning Method for Oropharyngeal Tumor Segmentation on Multi-modal PET-CT Images.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021
MRI image synthesis with dual discriminator adversarial learning and difficulty-aware attention mechanism for hippocampal subfields segmentation.
Comput. Medical Imaging Graph., 2020
Hippocampus Segmentation for Preterm and Aging Brains Using 3D Densely Connected Fully Convolutional Networks.
IEEE Access, 2020