Portfolio item number 1
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Posts by Collection
portfolio
Portfolio item number 2
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publications
Genetic Associations on Diagnosis of Parkinson’s Disease with Non-Genetic Multimodality Tests Based on Feature Ranking
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
Integrative Clustering and Supervised Feature Selection for Clinical Applications
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
Machine learning models for multiparametric glioma grading with quantitative result interpretations
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
Integrative nomogram of CT imaging, clinical, and hematological features for survival prediction of patients with locally advanced non-small cell lung cancer
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
18F-FDG PET/CT radiomic analysis with machine learning for identifying bone marrow involvement in the patients with suspected relapsed acute leukemia
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
Radiomics-Enhanced Multi-task Neural Network for Non-invasive Glioma Subtyping and Segmentation
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
Multi-level Topological Analysis Framework for Multifocal Diseases
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
Harmonization Centered Ensemble for Small and Highly Imbalanced Medical Data Classification
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
Correlational Deep Self-supervised Multi-view Clustering
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.
Interpretation on Deep Multimodal Fusion for Diagnostic Classification
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.
Quantitative Prediction of Microsatellite Instability in Colorectal Cancer With Preoperative PET/CT-Based Radiomics
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
Multi-parametric MRI Phenotype with Trustworthy Machine Learning for Differentiating CNS Demyelinating Diseases
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.
talks
teaching
INFO3600 Major Development Project [Advanced]
Undergraduate course, University of Sydney, School of Computer Science, 2018
I was Teaching Assistant and Tutor for “INFO3600 Major Development Project [Advanced]” in 2018 S2. The course description can be found in here. My key responsibilities included:
- Teaching in tutorial sessions and lab sessions
- Management of the course content and students (4 projects and 16 students)
- Supervising group projects and industrial partnership
COMP9103 Software Development in Java
Postgraduate course, University of Sydney, School of Computer Science, 2019
I was Teaching Assistant and Tutor for “COMP9103 Software Development in Java” for three years (2017S2, 2018S2, 2019S2). The course description can be found in here. My key responsibilities included:
- Teaching in tutorial sessions and lab sessions
- Management of the course content and students (around 150 students)
- Arrangement of tutor meetings (7 tutors)
COMP5415 Multimedia Design and Authoring
Postgraduate course, University of Sydney, School of Computer Science, 2020
I was Teaching Assistant and Tutor for “COMP5415 Software Development in Java” for three years (2017S2, 2019S2, 2020S2). I have experience in both online teaching and onsite teaching. The course description can be found in here. My key responsibilities included:
- Teaching in tutorial sessions and lab sessions
- Management of the course content and students (around 70 students)
- Arrangement of tutor meetings (4 tutors)
- Arrangement of presentations and workshops