Baoqiang Ma

According to our database, Baoqiang Ma authored at least 14 papers between 2020 and 2024.

Collaborative distances:

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

2024

Deep learning-based outcome prediction using PET/CT and automatically predicted probability maps of primary tumor in patients with oropharyngeal cancer.

Alessia De Biase, Baoqiang Ma, Jiapan Guo, Lisanne van Dijk, Johannes A. Langendijk, Stefan Both, Peter M. A. van Ooijen, Nanna Maria Sijtsema

Comput. Methods Programs Biomed., 2024

2023

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

Xinwei Li, Linjin Wang, Hong Liu, Baoqiang Ma, Lei Chu, Xiaoxi Dong, Debin Zeng, Tongtong Che, Xiaoming Jiang, Wei Wang, Jun Hu, Shuyu Li

IEEE J. Biomed. Health Informatics, October, 2023

SSQLi: A Black-Box Adversarial Attack Method for SQL Injection Based on Reinforcement Learning.

Yuting Guan, Junjiang He, Tao Li, Hui Zhao, Baoqiang Ma

Future Internet, April, 2023

TransRP: Transformer-based PET/CT feature extraction incorporating clinical data for recurrence-free survival prediction in oropharyngeal cancer.

Baoqiang Ma, Jiapan Guo, Lisanne van Dijk, Peter M. A. van Ooijen, Stefan Both, Nanna Maria Sijtsema

Proceedings of the Medical Imaging with Deep Learning, 2023

2022

Multi-view prediction of Alzheimer's disease progression with end-to-end integrated framework.

Yan Zhao, Baoqiang Ma, Tongtong Che, Qiongling Li, Debin Zeng, Xuetong Wang, Shuyu Li

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.

Baoqiang Ma, Yan Li, Hung Chu, Wei Tang, Luis Ricardo De la O. Arévalo, Jiapan Guo, Peter M. A. van Ooijen, Stefan Both, Johannes A. Langendijk, Lisanne van Dijk, Nanna Maria Sijtsema

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.

Hung Chu, Luis Ricardo De la O. Arévalo, Wei Tang, Baoqiang Ma, Yan Li, Alessia De Biase, Stefan Both, Johannes A. Langendijk, Peter M. A. van Ooijen, Nanna Maria Sijtsema, Lisanne van Dijk

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.

Yan Zhao, Baoqiang Ma, Pengbo Jiang, Debin Zeng, Xuetong Wang, Shuyu Li

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.

Xuetong Wang, Qiongling Li, Yan Zhao, Yirong He, Baoqiang Ma, Zhenrong Fu, Shuyu Li

NeuroImage, 2021

Feature level-based group lasso method for amnestic mild cognitive impairment diagnosis.

Leiming Jin, Wenying Du, Baoqiang Ma, Debin Zeng, Ying Han, Shuyu Li

Comput. Methods Programs Biomed., 2021

Self-supervised Multi-modality Image Feature Extraction for the Progression Free Survival Prediction in Head and Neck Cancer.

Baoqiang Ma, Jiapan Guo, Alessia De Biase, Nikos Sourlos, Wei Tang, Peter M. A. van Ooijen, Stefan Both, Nanna Maria Sijtsema

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.

Alessia De Biase, Wei Tang, Nikos Sourlos, Baoqiang Ma, Jiapan Guo, Nanna Maria Sijtsema, Peter M. A. van Ooijen

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.

Baoqiang Ma, Yan Zhao, Yujing Yang, Xiaohui Zhang, Xiaoxi Dong, Debin Zeng, Siyu Ma, Shuyu Li

Comput. Medical Imaging Graph., 2020

Hippocampus Segmentation for Preterm and Aging Brains Using 3D Densely Connected Fully Convolutional Networks.

Debin Zeng, Qiongling Li, Baoqiang Ma, Shuyu Li

IEEE Access, 2020