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2020 – today
- 2024
[j8]Ke Zhang
, Neman Abdoli, Patrik W. Gilley, Youkabed Sadri, Xuxin Chen, Theresa C. Thai, Lauren Dockery, Kathleen N. Moore, Robert S. Mannel, Yuchen Qiu:
Developing a novel image marker to predict the clinical outcome of neoadjuvant chemotherapy (NACT) for ovarian cancer patients. Comput. Biol. Medicine 172: 108240 (2024)- [j7]Siyuan Meng, Jie Zhou, Xuxin Chen, Yufei Liu, Fengyuan Lu, Xinli Huang:
Structure-Information-Based Reasoning over the Knowledge Graph: A Survey of Methods and Applications. ACM Trans. Knowl. Discov. Data 18(8): 210:1-210:42 (2024) - [c3]Huapei Wang, Cheng Cai, Xuxin Chen, Fang Huo:
Analog Circuits Fault Diagnosis Based on Machine Learning. SOCC 2024: 1-6 - [i5]Xuxin Chen, Yuheng Li, Mingzhe Hu, Ella Salari, Xiaoqian Chen, Richard L. J. Qiu, Bin Zheng, Xiaofeng Yang:
Mammo-CLIP: Leveraging Contrastive Language-Image Pre-training (CLIP) for Enhanced Breast Cancer Diagnosis with Multi-view Mammography. CoRR abs/2404.15946 (2024) - 2023
- [i4]Ke Zhang, Neman Abdoli, Patrik W. Gilley, Youkabed Sadri, Xuxin Chen, Theresa C. Thai, Lauren Dockery, Kathleen N. Moore, Robert S. Mannel, Yuchen Qiu:
Developing a Novel Image Marker to Predict the Responses of Neoadjuvant Chemotherapy (NACT) for Ovarian Cancer Patients. CoRR abs/2309.07087 (2023) - 2022
- [j6]Xuxin Chen, Ximin Wang, Ke Zhang, Kar-Ming Fung, Theresa C. Thai, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu:
Recent advances and clinical applications of deep learning in medical image analysis. Medical Image Anal. 79: 102444 (2022) - [i3]Xuxin Chen, Ximin Wang, Ke Zhang, Kar-Ming Fung, Theresa C. Thai, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu:
Virtual Adversarial Training for Semi-supervised Breast Mass Classification. CoRR abs/2201.10675 (2022) - [i2]Xuxin Chen, Ke Zhang, Neman Abdoli, Patrik W. Gilley, Ximin Wang, Hong Liu, Bin Zheng, Yuchen Qiu:
Transformers Improve Breast Cancer Diagnosis from Unregistered Multi-View Mammograms. CoRR abs/2206.10096 (2022) - 2021
- [i1]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:
Recent advances and clinical applications of deep learning in medical image analysis. CoRR abs/2105.13381 (2021) - 2020
- [j5]Xuxin Chen, Wei Liu, Theresa C. Thai, Tara Castellano, Camille C. Gunderson, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu:
Developing a new radiomics-based CT image marker to detect lymph node metastasis among cervical cancer patients. Comput. Methods Programs Biomed. 197: 105759 (2020) - [c2]Yufei Liu, Xuqi Fang, Fengyuan Lu, Xuxin Chen, Xinli Huang:
Indoor Positioning and Prediction in Smart Elderly Care: Model, System and Applications. ICA3PP (3) 2020: 537-548 - [c1]Xuqi Fang, Fengyuan Lu, Xuxin Chen, Xinli Huang:
Accurate Indoor Positioning Prediction Using the LSTM and Grey Model. WISE (1) 2020: 357-368
2010 – 2019
- 2019
- [j4]Xuxin Chen, Abolfazl Zargari, Alan B. Hollingsworth, Hong Liu, Bin Zheng, Yuchen Qiu:
Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancer. Comput. Methods Programs Biomed. 179 (2019) - [j3]Xuxin Chen, Ping He, Zhe Qin, Jianye Li, Yanping Gong:
Statistical Damage Model of Altered Granite under Dry-Wet Cycles. Symmetry 11(1): 41 (2019) - 2018
- [j2]Xuxin Chen, Ping He, Zhe Qin:
Damage to the Microstructure and Strength of Altered Granite under Wet-Dry Cycles. Symmetry 10(12): 716 (2018) - 2013
- [j1]John C. Williams, Jianjin Xu, Zhongju Lu, Aleksandra Klimas, Xuxin Chen, Christina M. Ambrosi, Ira S. Cohen, Emilia Entcheva:
Computational Optogenetics: Empirically-Derived Voltage- and Light-Sensitive Channelrhodopsin-2 Model. PLoS Comput. Biol. 9(9) (2013)
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