Published in Journal of Translational Medicine, 2021
Recommended citation: Huang J, Xin B, Wang X, et al. Multi-parametric MRI Phenotype with Trustworthy Machine Learning for Differentiating CNS Demyelinating Diseases. Journal of Translational Medicine. 2021. Accepted and will be published soon.
Published in Frontiers in Oncology, 2021
Recommended citation: Li J, Yang Z, Xin B, et al. Quantitative Prediction of Microsatellite Instability in Colorectal Cancer With Preoperative PET/CT-Based Radiomics. 2021. https://www.frontiersin.org/articles/10.3389/fonc.2021.702055/full
Published in International Joint Conference on Neural Networks (IJCNN), 2021
Recommended citation: Xin B, Huang J, Zhou Y, Lu J, Wang X. Interpretation on Deep Multimodal Fusion for Diagnostic Classification. International Joint Conference on Neural Networks (IJCNN). 2021. IEEE. Accepted and will be published soon.
Published in International Joint Conference on Neural Networks (IJCNN), 2021
Recommended citation: Xin B, Zeng S, Wang X. Correlational Deep Self-supervised Multi-view Clustering. International Joint Conference on Neural Networks (IJCNN). 2021. IEEE. Accepted and will be published soon.
Published in International Symposium on Biomedical Imaging (ISBI), 2021
Recommended citation: Li J, Xin B, Yang Z, et al. Harmonization Centered Ensemble for Small and Highly Imbalanced Medical Data Classification. International Symposium on Biomedical Imaging (ISBI). 2021. IEEE https://ieeexplore.ieee.org/document/9433824
Published in International Conference on Control, Automation, Robotics, and Vision (ICARCV), 2020
Recommended citation: Xin B, Zhang L, Huang J, et al. Multi-level Topological Analysis Framework for Multifocal Diseases. 16th International Conference on Control, Automation, Robotics, and Vision (ICARCV). 2020. IEEE. https://ieeexplore.ieee.org/document/9305487
Published in RNO-AI@MICCAI 2019, 2020
Recommended citation: Xue Z, Xin B, Wang D, Wang X, Radiomics-Enhanced Multi-task Neural Network for Non-invasive Glioma Subtyping and Segmentation, RNO-AI@MICCAI 2019 https://link.springer.com/chapter/10.1007%2F978-3-030-40124-5_9
Published in Theranostics, 2019
Recommended citation: Li H, Xu C, Xin B, et al. 18F-FDG PET/CT radiomic analysis with machine learning for identifying bone marrow involvement in the patients with suspected relapsed acute leukemia. Theranostics. 2019. https://www.thno.org/v09p4730.htm
Published in European Radiology, 2019
Recommended citation: Wang L, Dong T, Xin B, et al. Integrative nomogram of CT imaging, clinical, and hematological features for survival prediction of patients with locally advanced non-small cell lung cancer. European radiology. 2019. https://link.springer.com/article/10.1007/s00330-018-5949-2
Published in Frontiers in Neuroscience, 2019
Recommended citation: Wang X, Wang D, Yao Z, Xin B, Wang B, Lan C, Qin Y, Xu S, He D, Liu Y. Machine learning models for multiparametric glioma grading with quantitative result interpretations. Frontiers in Neuroscience. 2018. https://www.frontiersin.org/articles/10.3389/fnins.2018.01046/full
Published in International Conference on Control, Automation, Robotics, and Vision (ICARCV), 2018
Recommended citation: Xin B, Xu C, Wang L, et al. Integrative Clustering and Supervised Feature Selection for Clinical Applications. 15th International Conference on Control, Automation, Robotics, and Vision (ICARCV) 2018. IEEE https://ieeexplore.ieee.org/document/8581292
Published in International Conference on Control, Automation, Robotics, and Vision (ICARCV), 2018
Recommended citation: Xiao C, He D, Xin B, Wang X. Genetic Associations on Diagnosis of Parkinson's Disease with Non-Genetic Multimodality Tests Based on Feature Ranking. In 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV) 2018. IEEE. https://ieeexplore.ieee.org/document/8581191