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Baoqiang Ma
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2020 – today
- 2024
- [j9]Alessia De Biase, Baoqiang Ma, Jiapan Guo, Lisanne van Dijk, Johannes A. Langendijk, Stefan Both, Peter M. A. van Ooijen, Nanna Maria Sijtsema:
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. 244: 107939 (2024) - 2023
- [j8]Yuting Guan, Junjiang He, Tao Li, Hui Zhao, Baoqiang Ma:
SSQLi: A Black-Box Adversarial Attack Method for SQL Injection Based on Reinforcement Learning. Future Internet 15(4): 133 (2023) - [j7]Xinwei Li, Linjin Wang, Hong Liu, Baoqiang Ma, Lei Chu, Xiaoxi Dong, Debin Zeng, Tongtong Che, Xiaoming Jiang, Wei Wang, Jun Hu, Shuyu Li:
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 27(10): 4866-4877 (2023) - [c5]Baoqiang Ma, Jiapan Guo, Lisanne van Dijk, Peter M. A. van Ooijen, Stefan Both, Nanna Maria Sijtsema:
TransRP: Transformer-based PET/CT feature extraction incorporating clinical data for recurrence-free survival prediction in oropharyngeal cancer. MIDL 2023: 1640-1654 - 2022
- [j6]Yan Zhao, Baoqiang Ma, Tongtong Che, Qiongling Li, Debin Zeng, Xuetong Wang, Shuyu Li:
Multi-view prediction of Alzheimer's disease progression with end-to-end integrated framework. J. Biomed. Informatics 125: 103978 (2022) - [c4]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:
Swin UNETR for Tumor and Lymph Node Segmentation Using 3D PET/CT Imaging: A Transfer Learning Approach. HECKTOR@MICCAI 2022: 114-120 - [c3]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:
Deep Learning and Radiomics Based PET/CT Image Feature Extraction from Auto Segmented Tumor Volumes for Recurrence-Free Survival Prediction in Oropharyngeal Cancer Patients. HECKTOR@MICCAI 2022: 240-254 - 2021
- [j5]Leiming Jin, Wenying Du, Baoqiang Ma, Debin Zeng, Ying Han, Shuyu Li:
Feature level-based group lasso method for amnestic mild cognitive impairment diagnosis. Comput. Methods Programs Biomed. 208: 106286 (2021) - [j4]Xuetong Wang, Qiongling Li, Yan Zhao, Yirong He, Baoqiang Ma, Zhenrong Fu, Shuyu Li:
Decomposition of individual-specific and individual-shared components from resting-state functional connectivity using a multi-task machine learning method. NeuroImage 238: 118252 (2021) - [j3]Yan Zhao, Baoqiang Ma, Pengbo Jiang, Debin Zeng, Xuetong Wang, Shuyu Li:
Prediction of Alzheimer's Disease Progression with Multi-Information Generative Adversarial Network. IEEE J. Biomed. Health Informatics 25(3): 711-719 (2021) - [c2]Alessia De Biase, Wei Tang, Nikos Sourlos, Baoqiang Ma, Jiapan Guo, Nanna Maria Sijtsema, Peter M. A. van Ooijen:
Skip-SCSE Multi-scale Attention and Co-learning Method for Oropharyngeal Tumor Segmentation on Multi-modal PET-CT Images. HECKTOR@MICCAI 2021: 109-120 - [c1]Baoqiang Ma, Jiapan Guo, Alessia De Biase, Nikos Sourlos, Wei Tang, Peter M. A. van Ooijen, Stefan Both, Nanna Maria Sijtsema:
Self-supervised Multi-modality Image Feature Extraction for the Progression Free Survival Prediction in Head and Neck Cancer. HECKTOR@MICCAI 2021: 308-317 - 2020
- [j2]Debin Zeng, Qiongling Li, Baoqiang Ma, Shuyu Li:
Hippocampus Segmentation for Preterm and Aging Brains Using 3D Densely Connected Fully Convolutional Networks. IEEE Access 8: 97032-97044 (2020) - [j1]Baoqiang Ma, Yan Zhao, Yujing Yang, Xiaohui Zhang, Xiaoxi Dong, Debin Zeng, Siyu Ma, Shuyu Li:
MRI image synthesis with dual discriminator adversarial learning and difficulty-aware attention mechanism for hippocampal subfields segmentation. Comput. Medical Imaging Graph. 86: 101800 (2020)
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