Machine learning models for multiparametric glioma grading with quantitative result interpretations X Wang, D Wang, Z Yao, B Xin, B Wang, C Lan, Y Qin, S Xu, D He, Y Liu Frontiers in neuroscience 12, 1046, 2019 | 63 | 2019 |
Integrative nomogram of CT imaging, clinical, and hematological features for survival prediction of patients with locally advanced non-small cell lung cancer L Wang, T Dong, B Xin, C Xu, M Guo, H Zhang, D Feng, X Wang, J Yu European radiology 29, 2958-2967, 2019 | 60 | 2019 |
18F-FDG PET/CT radiomic analysis with machine learning for identifying bone marrow involvement in the patients with suspected relapsed acute leukemia H Li, C Xu, B Xin, C Zheng, Y Zhao, K Hao, Q Wang, RL Wahl, X Wang, ... Theranostics 9 (16), 4730, 2019 | 56 | 2019 |
Radiomic analysis for predicting prognosis of colorectal cancer from preoperative 18F-FDG PET/CT L Lv, B Xin, Y Hao, Z Yang, J Xu, L Wang, X Wang, S Song, X Guo Journal of translational medicine 20 (1), 66, 2022 | 36 | 2022 |
18F-FDG PET/CT Radiomics for Preoperative Prediction of Lymph Node Metastases and Nodal Staging in Gastric Cancer Q Liu, J Li, B Xin, Y Sun, D Feng, MJ Fulham, X Wang, S Song Frontiers in oncology 11, 723345, 2021 | 28 | 2021 |
18F-FDG PET/CT radiomic analysis for classifying and predicting microvascular invasion in hepatocellular carcinoma and intrahepatic cholangiocarcinoma C Jiang, L Zhao, B Xin, G Ma, X Wang, S Song Quantitative imaging in medicine and surgery 12 (8), 4135, 2022 | 22 | 2022 |
Quantitative prediction of microsatellite instability in colorectal cancer with preoperative PET/CT-based radiomics J Li, Z Yang, B Xin, Y Hao, L Wang, S Song, J Xu, X Wang Frontiers in oncology 11, 702055, 2021 | 22 | 2021 |
Self-Supervised deep correlational multi-view clustering B Xin, S Zeng, X Wang 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 13 | 2021 |
Multi-parametric MRI phenotype with trustworthy machine learning for differentiating CNS demyelinating diseases J Huang, B Xin, X Wang, Z Qi, H Dong, K Li, Y Zhou, J Lu Journal of translational medicine 19, 1-12, 2021 | 11 | 2021 |
Automatic identification of myopic maculopathy related imaging features in optic disc region via machine learning methods Y Du, Q Chen, Y Fan, J Zhu, J He, H Zou, D Sun, B Xin, D Feng, M Fulham, ... Journal of translational medicine 19, 1-12, 2021 | 10 | 2021 |
Altered functional connectivity in white and gray matter in patients with multiple sclerosis J Huang, M Li, Q Li, Z Yang, B Xin, Z Qi, Z Liu, H Dong, K Li, Z Ding, J Lu Frontiers in human neuroscience 14, 563048, 2020 | 9 | 2020 |
Interpretation on deep multimodal fusion for diagnostic classification B Xin, J Huang, Y Zhou, J Lu, X Wang 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 8 | 2021 |
Radiomics-enhanced multi-task neural network for non-invasive glioma subtyping and segmentation Z Xue, B Xin, D Wang, X Wang International Workshop on Radiomics and Radiogenomics in Neuro-oncology, 81-90, 2019 | 8 | 2019 |
Preoperative 18F-FDG PET/CT radiomics analysis for predicting HER2 expression and prognosis in gastric cancer Q Liu, J Li, B Xin, Y Sun, X Wang, S Song Quantitative Imaging in Medicine and Surgery 13 (3), 1537, 2023 | 6 | 2023 |
Dynamic topology analysis for spatial patterns of multifocal lesions on MRI B Xin, J Huang, L Zhang, C Zheng, Y Zhou, J Lu, X Wang Medical Image Analysis 76, 102267, 2022 | 6 | 2022 |
Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report EMC Huijben, ML Terpstra, S Pai, A Thummerer, P Koopmans, M Afonso, ... Medical image analysis 97, 103276, 2024 | 3 | 2024 |
Multi-level topological analysis framework for multifocal diseases B Xin, L Zhang, J Huang, J Lu, X Wang 2020 16th International Conference on Control, Automation, Robotics and …, 2020 | 2 | 2020 |
Chuanjin Lan, Yejun Qin, Shangchen Xu, Dazhong He, and Yingchao Liu X Wang, D Wang, Z Yao, B Xin, B Wang Machine learning models for multiparametric glioma grading with quantitative …, 2019 | 2 | 2019 |
CSIRO at the ImageCLEFmed 2022 Tuberculosis Caverns Detection Challenge: A 2D and 3D deep learning detection network approach B Xin, H Min, AG Gillman, B Koopman, J Dowling, A Nicolson Rheinisch-Westfaelische Technische Hochschule Aachen Lehrstuhl Informatik …, 2022 | 1 | 2022 |
Harmonization Centered Ensemble For Small And Highly Imbalanced Medical Data Classification J Li, B Xin, Z Yang, J Xu, S Song, X Wang 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1742-1745, 2021 | 1 | 2021 |