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)

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 012; Xiaoxi Dong; Debin Zeng; Siyu Ma; Shuyu Li (Comput. Medical Imaging Graph., 2020)

Skip-SCSE Multi-scale Attention and Co-learning Method for Oropharyngeal Tumor Segmentation on Multi-modal PET-CT Images. - Alessia De Biase; Wei Tang 014; Nikos Sourlos; Baoqiang Ma; Jiapan Guo; Nanna Maria Sijtsema; Peter M. A. van Ooijen (HECKTOR@MICCAI, 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 014; Peter M. A. van Ooijen; Stefan Both; Nanna Maria Sijtsema (HECKTOR@MICCAI, 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)

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)

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)

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 014; Baoqiang Ma; Yan Li; Alessia De Biase; Stefan Both; Johannes A. Langendijk; Peter M. A. van Ooijen; Nanna Maria Sijtsema; Lisanne van Dijk (HECKTOR@MICCAI, 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 014; Luis Ricardo De la O. Arévalo; Jiapan Guo; Peter M. A. van Ooijen; Stefan Both; Johannes A. Langendijk; Lisanne van Dijk; Nanna Maria Sijtsema (HECKTOR@MICCAI, 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)

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 (MIDL, 2023)

SSQLi: A Black-Box Adversarial Attack Method for SQL Injection Based on Reinforcement Learning. - Yuting Guan; Junjiang He; Tao Li 016; Hui Zhao 007; Baoqiang Ma (Future Internet, 2023)

Syn_SegNet: A Joint Deep Neural Network for Ultrahigh-Field 7T MRI Synthesis and Hippocampal Subfield Segmentation in Routine 3T MRI. - Xinwei Li 001; Linjin Wang; Hong Liu; Baoqiang Ma; Lei Chu; Xiaoxi Dong; Debin Zeng; Tongtong Che; Xiaoming Jiang; Wei Wang 518; Jun Hu; Shuyu Li (IEEE J. Biomed. Health Informatics, 2023)

MRI-Based Head and Neck Tumor Segmentation Using nnU-Net with 15-Fold Cross-Validation Ensemble. - Frank N. Mol; Luuk van der Hoek; Baoqiang Ma; Bharath Chowdhary Nagam; Nanna Maria Sijtsema; Lisanne van Dijk; Kerstin Bunte; Rifka Vlijm; Peter M. A. van Ooijen (HNTS-MRG@MICCAI, 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)