Xuxin Chen

According to our database, Xuxin Chen authored at least 16 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Structure-Information-Based Reasoning over the Knowledge Graph: A Survey of Methods and Applications.

Siyuan Meng, Jie Zhou, Xuxin Chen, Yufei Liu, Fengyuan Lu, Xinli Huang

ACM Trans. Knowl. Discov. Data, September, 2024

Mammo-CLIP: Leveraging Contrastive Language-Image Pre-training (CLIP) for Enhanced Breast Cancer Diagnosis with Multi-view Mammography.

Xuxin Chen, Yuheng Li, Mingzhe Hu, Ella Salari, Xiaoqian Chen, Richard L. J. Qiu, Bin Zheng, Xiaofeng Yang

CoRR, 2024

Developing a novel image marker to predict the clinical outcome of neoadjuvant chemotherapy (NACT) for ovarian cancer patients.

Ke Zhang, Neman Abdoli, Patrik W. Gilley, Youkabed Sadri, Xuxin Chen, Theresa C. Thai, Lauren Dockery, Kathleen N. Moore, Robert S. Mannel, Yuchen Qiu

Comput. Biol. Medicine, 2024

Analog Circuits Fault Diagnosis Based on Machine Learning.

Huapei Wang, Cheng Cai, Xuxin Chen, Fang Huo

Proceedings of the 37th IEEE International System-on-Chip Conference, 2024

2023

Developing a Novel Image Marker to Predict the Responses of Neoadjuvant Chemotherapy (NACT) for Ovarian Cancer Patients.

Ke Zhang, Neman Abdoli, Patrik W. Gilley, Youkabed Sadri, Xuxin Chen, Theresa C. Thai, Lauren Dockery, Kathleen N. Moore, Robert S. Mannel, Yuchen Qiu

CoRR, 2023

2022

Recent advances and clinical applications of deep learning in medical image analysis.

Xuxin Chen, Ximin Wang, Ke Zhang, Kar-Ming Fung, Theresa C. Thai, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu

Medical Image Anal., 2022

Transformers Improve Breast Cancer Diagnosis from Unregistered Multi-View Mammograms.

Xuxin Chen, Ke Zhang, Neman Abdoli, Patrik W. Gilley, Ximin Wang, Hong Liu, Bin Zheng, Yuchen Qiu

CoRR, 2022

Virtual Adversarial Training for Semi-supervised Breast Mass Classification.

Xuxin Chen, Ximin Wang, Ke Zhang, Kar-Ming Fung, Theresa C. Thai, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu

CoRR, 2022

2021

Recent advances and clinical applications of deep learning in medical image analysis.

Xuxin Chen, Ximin Wang, Ke Zhang, Roy Zhang, Kar-Ming Fung, Theresa C. Thai, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu

CoRR, 2021

2020

Developing a new radiomics-based CT image marker to detect lymph node metastasis among cervical cancer patients.

Xuxin Chen, Wei Liu, Theresa C. Thai, Tara Castellano, Camille C. Gunderson, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu

Comput. Methods Programs Biomed., 2020

Accurate Indoor Positioning Prediction Using the LSTM and Grey Model.

Xuqi Fang, Fengyuan Lu, Xuxin Chen, Xinli Huang

Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

Indoor Positioning and Prediction in Smart Elderly Care: Model, System and Applications.

Yufei Liu, Xuqi Fang, Fengyuan Lu, Xuxin Chen, Xinli Huang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

2019

Statistical Damage Model of Altered Granite under Dry-Wet Cycles.

Xuxin Chen, Ping He, Zhe Qin, Jianye Li, Yanping Gong

Symmetry, 2019

Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancer.

Xuxin Chen, Abolfazl Zargari, Alan B. Hollingsworth, Hong Liu, Bin Zheng, Yuchen Qiu

Comput. Methods Programs Biomed., 2019

2018

Damage to the Microstructure and Strength of Altered Granite under Wet-Dry Cycles.

Xuxin Chen, Ping He, Zhe Qin

Symmetry, 2018

2013

Computational Optogenetics: Empirically-Derived Voltage- and Light-Sensitive Channelrhodopsin-2 Model.

John C. Williams, Jianjin Xu, Zhongju Lu, Aleksandra Klimas, Xuxin Chen, Christina M. Ambrosi, Ira S. Cohen, Emilia Entcheva

PLoS Comput. Biol., 2013