| Prediction of Alzheimer's disease progression with multi-information generative adversarial network Y Zhao, B Ma, P Jiang, D Zeng, X Wang, S Li IEEE Journal of Biomedical and Health Informatics 25 (3), 711-719, 2020 | 81 | 2020 |
| MRI image synthesis with dual discriminator adversarial learning and difficulty-aware attention mechanism for hippocampal subfields segmentation B Ma, Y Zhao, Y Yang, X Zhang, X Dong, D Zeng, S Ma, S Li Computerized Medical Imaging and Graphics 86, 101800, 2020 | 25 | 2020 |
| Multi-view prediction of Alzheimer’s disease progression with end-to-end integrated framework Y Zhao, B Ma, T Che, Q Li, D Zeng, X Wang, S Li Journal of Biomedical Informatics 125, 103978, 2022 | 12 | 2022 |
| Skip-SCSE multi-scale attention and co-learning method for oropharyngeal tumor segmentation on multi-modal PET-CT images A De Biase, W Tang, N Sourlos, B Ma, J Guo, NM Sijtsema, P van Ooijen 3D Head and Neck Tumor Segmentation in PET/CT Challenge, 109-120, 2021 | 12 | 2021 |
| Self-supervised multi-modality image feature extraction for the progression free survival prediction in head and neck cancer B Ma, J Guo, A De Biase, N Sourlos, W Tang, P van Ooijen, S Both, ... 3D Head and Neck Tumor Segmentation in PET/CT Challenge, 308-317, 2021 | 10 | 2021 |
| Decomposition of individual-specific and individual-shared components from resting-state functional connectivity using a multi-task machine learning method X Wang, Q Li, Y Zhao, Y He, B Ma, Z Fu, S Li Neuroimage 238, 118252, 2021 | 10 | 2021 |
| Hippocampus segmentation for preterm and aging brains using 3D densely connected fully convolutional networks D Zeng, Q Li, B Ma, S Li IEEE Access 8, 97032-97044, 2020 | 10 | 2020 |
| Swin UNETR for Tumor and Lymph Node Segmentation Using 3D PET/CT Imaging: A Transfer Learning Approach H Chu, LR De la O Arévalo, W Tang, B Ma, Y Li, A De Biase, S Both, ... 3D Head and Neck Tumor Segmentation in PET/CT Challenge, 114-120, 2022 | 6 | 2022 |
| Deep learning-based outcome prediction using PET/CT and automatically predicted probability maps of primary tumor in patients with oropharyngeal cancer A De Biase, B Ma, J Guo, LV van Dijk, JA Langendijk, S Both, ... Computer Methods and Programs in Biomedicine 244, 107939, 2024 | 5 | 2024 |
| CT‐based deep multi‐label learning prediction model for outcome in patients with oropharyngeal squamous cell carcinoma B Ma, J Guo, TT Zhai, A van der Schaaf, RJHM Steenbakkers, LV van Dijk, ... Medical Physics 50 (10), 6190-6200, 2023 | 4 | 2023 |
| Deep learning and radiomics based PET/CT image feature extraction from auto segmented tumor volumes for recurrence-free survival prediction in oropharyngeal cancer patients B Ma, Y Li, H Chu, W Tang, LR De la O Arévalo, J Guo, P van Ooijen, ... 3D Head and Neck Tumor Segmentation in PET/CT Challenge, 240-254, 2022 | 4 | 2022 |
| TransRP: Transformer-based PET/CT feature extraction incorporating clinical data for recurrence-free survival prediction in oropharyngeal cancer B Ma, J Guo, LV van Dijk, P van Ooijen, S Both, NM Sijtsema Medical Imaging and Deep Learning, 2023 | 3 | 2023 |
| Comparison of computed tomography image features extracted by radiomics, self-supervised learning and end-to-end deep learning for outcome prediction of oropharyngeal cancer B Ma, J Guo, H Chu, LV van Dijk, PMA van Ooijen, JA Langendijk, S Both, ... Physics and Imaging in Radiation Oncology, 2023 | 2 | 2023 |
| Feature level-based group lasso method for amnestic mild cognitive impairment diagnosis L Jin, W Du, B Ma, D Zeng, Y Han, S Li Computer Methods and Programs in Biomedicine 208, 106286, 2021 | 2 | 2021 |
| PET/CT based transformer model for multi-outcome prediction in oropharyngeal cancer B Ma, J Guo, A De Biase, LV van Dijk, PMA van Ooijen, JA Langendijk, ... Radiotherapy and Oncology, 110368, 2024 | 1 | 2024 |
| 204: PET-CT DenseNet outperforms advanced DL models for outcome prediction of oropharyngeal cancer B Ma, J Guo, LV van Dijk, JA Langendijk, PMA van Ooijen, S Both, ... Radiotherapy and Oncology 194, S4959-S4962, 2024 | | 2024 |
| Syn_SegNet: A Joint Deep Neural Network for Ultrahigh-Field 7 T MRI Synthesis and Hippocampal Subfield Segmentation in Routine 3 T MRI X Li, L Wang, H Liu, B Ma, L Chu, X Dong, D Zeng, T Che, X Jiang, ... IEEE Journal of Biomedical and Health Informatics, 2023 | | 2023 |
| Characterization of prostate cancer on bpMRI: comparison of zone and lesion-derived radiomic models B Ma, A De Biase, J Guo, LV van Dijk, JA Langendijk, S Both, ... RADIOTHERAPY AND ONCOLOGY 182, S127-S128, 2023 | | 2023 |
| PD-0167 Predicted tumour probability maps improve deep learning outcome prediction in oropharyngeal cancer B Ma, A De Biase, J Guo, LV van Dijk, JA Langendijk, S Both, ... Radiotherapy and Oncology 182, S127-S128, 2023 | | 2023 |
| MO-0062 External validation of radiomics and deep learning models for recurrence-free survival prediction Y Li, B Ma, H Chu, JA Langendijk, LV van Dijk, NM Sijtsema Radiotherapy and Oncology 182, S29-S30, 2023 | | 2023 |
Nanna Maria (Marianna) SijtsemaUniversity of Groningen, University Medical Center Groningen, Department of Radiation OncologyVerified email at umcg.nl
