Baoqiang Ma

Orcid: 0000-0002-6461-1244

According to our database1, Baoqiang Ma authored at least 17 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
PR3DICTR: A modular AI framework for medical 3D image-based detection and outcome prediction.
CoRR, April, 2026

Ranking Xai Methods for Head and Neck Cancer Outcome Prediction.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2024
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

2023
Syn_SegNet: A Joint Deep Neural Network for Ultrahigh-Field 7T MRI Synthesis and Hippocampal Subfield Segmentation in Routine 3T MRI.
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

2022
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.
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.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022

2021
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

2020
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


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