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Publications

Refereed Journal Publications:

  • Oleg V. Kim, Rustem I. Litvinov, Jianxu Chen, Danny Z. Chen, John W. Weisel, and Mark Alber. “Compression-induced Structural and Mechanical Changes of Fibrin-collagen Composites.” Matrix Biology, Vol. 60-61, July 2017, pp. 141-156.
  • Jianxu Chen, Mark S. Alber, and Danny Z. Chen. “A hybrid approach for segmentation and tracking of Myxococcus xanthus swarms.” IEEE Transactions on Medical Imaging, vol. 35, no. 9, pp. 2074-2084, 2016. (Project Website),(paper link)
  • Dhagash Mehta, Jianxu Chen, Danny Z. Chen, Halim Kusumaatmaja, and David J. Wales. “Kinetic Transition Networks for the Thomson Problem and Smale’s 7th Problem.” Pysical Review Letter, vol. 117, pp. 028301, 2016. (Selected as PRL Editors’ Suggestion) (arXiv)
  • Jianxu Chen, Feng Shen, Danny Z. Chen, and Patrick J. Flynn. “Iris recognition based on human-interpretable features.” IEEE Transactions on Information Forensics and Security, vol. 11, no. 7, pp. 1476-1485, 2016. (Software Download)

Peer-Reviewed Conference Publications:

  • Jianxu Chen, Sreya Banerjee, Abhinav Grama, Walter J. Scheirer and Danny Z. Chen, “Neuron Segmentation Using Complete Bipartite Network,” aceepted to the 20th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Quebec City, Quebec, Canada, Spetember 2017. (arXiv)
  • Lin Yang, Yizhe Zhang, Jianxu Chen, and Danny Z. Chen, “Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation,” accepted to the 20th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Quebec City, Quebec, Canada, Spetember 2017.
  • Yizhe Zhang, Lin Yang, Jianxu Chen, Maridel Fredericksen, David Hughes and Danny Z. Chen, “Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images,” accepted to the 20th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Quebec City, Quebec, Canada, Spetember 2017.
  • Xiaoming Chen, Jianxu Chen, Danny Z. Chen, and Sharon X. Hu, “Optimizing Memory Efficiency for Convolution Kernels on Kepler GPUs,” accepted to 54th ACM/EDAC/IEEE Design Automation Conference (DAC), Austin, TX, June 2017.
  • Jianxu Chen, Lin Yang, Yizhe Zhang, Mark S. Alber, and Danny Z. Chen. “Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation,” In Proc. of the 30th Annual Conference on Neural Information Processing Systems (NIPS), Barcelona, Spain, December 2016, pp. 3036-3044.
  • Jianxu Chen, Yiqing Cai, Chen Wei, Lin Yang, Mark S. Alber, and Danny Z. Chen. “Segmentation and tracking of Pseudomonas aeruginosa for cell dynamics analysis in time-lapse images.” In Proc. IEEE International Symposium on Biomedical Imaging (ISBI), pp. 968-971, 2016. (Project Website),(paper link)
  • Jianxu Chen, Feng Shen, Danny Z. Chen, and Patrick J. Flynn. “Iris recognition based on human-interpretable features.” In Proc. IEEE Conference on Identity, Security and Behavior Analysis (ISBA), pp. 1-6, 2015. (Software Download)
  • Jianxu Chen, Shant Mahserejian, Mark S. Alber, and Danny Z. Chen. “A hybrid approach for segmentation and tracking of Myxococcus xanthus swarms.” In Proc. Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 284-291, 2015. (Project Website),(paper link)
  • Jianxu Chen, Cameron W. Harvey, Mark S. Alber, and Danny Z. Chen. “A matching model based on earth mover’s distance for tracking Myxococcus xanthus.” In Proc. Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 113-120, 2014. (Project Website),(paper link)
  • Jianxu Chen, Oleg V. Kim, Rustem I. Litvinov, John W. Weisel, Mark S. Alber, and Danny Z. Chen. “An automated approach for fibrin network segmentation and structure identification in 3D confocal microscopy images.” In Proc. IEEE International Symposium on Computer-Based Medical Systems (CBMS), pp. 173-178, 2014. (Project Website),(paper link)

Technical Report

  • Jianxu Chen and Chukka Srinivas. “Automatic Lymphocyte Detection in H&E Images with Deep Neural Networks.” arXiv preprint arXiv:1612.03217 (2016).
  • Qinfeng Wu, Pavel Brodskiy, Cody Narciso, Megan Levis, Jianxu Chen, Peixian Liang, Ninfamaria Arredondo-Walsh, Danny Z. Chen, and Jeremiah J. Zartman. “Intercellular calcium waves are controlled by morphogen signaling during organ development.” bioRxiv (2017): 104745.