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Bingqing Xie
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2020 – today
- 2022
- [c6]Mingyu Teng, Linfeng Hu, Shengzhuang Dou, Jinjun Pan, Bingqing Xie:
Identification of Subway Tunnel Vibration Signal Based on Fiber Grating Array. ICITEE 2022: 572-576 - 2021
- [j9]Pei Niu, Lihuiwang, Bingqing Xie, Marc C. Robini, Loïc Boussel, Phillippe Douek, Yuemin Zhu, Feng Yang:
Improved Image Reconstruction Using Multi-Energy Information in Spectral Photon-Counting CT. IEEE Access 9: 97981-97989 (2021) - [j8]Bingqing Xie, Yuemin Zhu, Pei Niu, Ting Su, Feng Yang, Lihui Wang, Pierre-Antoine Rodesch, Loïc Boussel, Philippe Douek, Philippe Duvauchelle:
Super-Energy-Resolution Material Decomposition for Spectral Photon-Counting CT Using Pixel-Wise Learning. IEEE Access 9: 168485-168495 (2021) - [j7]Xinhong Yu, Shiqi Zhang, Wenqiang Guo, Boxi Li, Yang Yang, Bingqing Xie, Ke Li, Li Zhang:
Recent Advances on Functional Nucleic-Acid Biosensors. Sensors 21(21): 7109 (2021) - 2020
- [b1]Bingqing Xie:
Image-domain material decomposition in spectral photon-counting CT for medical applications. (La décomposition de matériaux dans la tomographie spectrale (sCT - spectral computed tomography) par rayons X dans le domaine de l'image). University of Lyon, France, 2020
2010 – 2019
- 2019
- [j6]Dinanath Sulakhe, Mark D'Souza, Sheng Wang, Sandhya Balasubramanian, Prashanth Athri, Bingqing Xie, Stefan Canzar, Gady Agam, T. Conrad Gilliam, Natalia Maltsev:
Exploring the functional impact of alternative splicing on human protein isoforms using available annotation sources. Briefings Bioinform. 20(5): 1754-1768 (2019) - 2018
- [j5]Yu Li, Sheng Wang, Ramzan Umarov, Bingqing Xie, Ming Fan, Lihua Li, Xin Gao:
DEEPre: sequence-based enzyme EC number prediction by deep learning. Bioinform. 34(5): 760-769 (2018) - 2016
- [j4]Dinanath Sulakhe, Bingqing Xie, Andrew Taylor, Mark D'Souza, Sandhya Balasubramanian, Somaye Hashemifar, Steven White, Utpal J. Dave, Gady Agam, Jinbo Xu, Sheng Wang, T. Conrad Gilliam, Natalia Maltsev:
Lynx: a knowledge base and an analytical workbench for integrative medicine. Nucleic Acids Res. 44(Database-Issue): 882-887 (2016) - 2015
- [j3]Bingqing Xie, Gady Agam, Sandhya Balasubramanian, Jinbo Xu, T. Conrad Gilliam, Natalia Maltsev, Daniela Börnigen:
Disease Gene Prioritization Using Network and Feature. J. Comput. Biol. 22(4): 313-323 (2015) - 2014
- [j2]Dinanath Sulakhe, Sandhya Balasubramanian, Bingqing Xie, Bo Feng, Andrew Taylor, Sheng Wang, Eduardo Berrocal, Utpal J. Dave, Jinbo Xu, Daniela Börnigen, T. Conrad Gilliam, Natalia Maltsev:
Lynx: a database and knowledge extraction engine for integrative medicine. Nucleic Acids Res. 42(Database-Issue): 1007-1012 (2014) - [j1]Dinanath Sulakhe, Andrew Taylor, Sandhya Balasubramanian, Bo Feng, Bingqing Xie, Daniela Börnigen, Utpal J. Dave, Ian T. Foster, T. Conrad Gilliam, Natalia Maltsev:
Lynx web services for annotations and systems analysis of multi-gene disorders. Nucleic Acids Res. 42(Webserver-Issue): 473-477 (2014) - [c5]Di Ma, Bingqing Xie, Gady Agam:
A machine learning based lecture video segmentation and indexing algorithm. DRR 2014: 90210V-90210V-8 - 2013
- [c4]Bingqing Xie, Gady Agam, Natalia Maltsev, T. Conrad Gilliam:
Conditional Random Field for Candidate Gene Prioritization. BCB 2013: 700 - 2012
- [c3]Bingqing Xie, Gady Agam, Dinanath Sulakhe, Natalia Maltsev, Bhadrachalam Chitturi, T. Conrad Gilliam:
Prediction of candidate genes for neuropsychiatric disorders using feature-based enrichment. BCB 2012: 564-566 - [c2]Tayo Obafemi-Ajayi, Gady Agam, Bingqing Xie:
Ensemble methods with simple features for document zone classification. DRR 2012: 829706 - 2011
- [c1]Binqing Xie, Gady Agam:
Boosting based text and non-text region classification. DRR 2011: 787416
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