Curriculum Vitae

Education & Work Experiences

Publications & Technical Reports

  1. Zisha Zhong, Yusung Kim, Leixin Zhou, Kristin Plichta, Bryan Allen, John Buatti, and Xiaodong Wu. DFCN-CoCRF: Simultaneous cosegmentation of tumors in PET-CT images, Technical Report, 2019.

  2. Leixin Zhou, Zisha Zhong, Abhay Shah, Bensheng Qiu, and Xiaodong Wu. Deep Neural Networks for Surface Segmentation Meet Conditional Random Fields. https://arxiv.org/abs/1906.04714, 2019. Submitted.

  3. Zisha Zhong, Bin Fan, Chunlei Huo, Shiming Xiang, Chunhong Pan. Context Window based Recurrent Neural Network for Hyperspectral Imagery Classification. Submitted, 2018.

  4. Zisha Zhong, Yusung Kim, Kristin Plichta, Bryan Allen, Leixin Zhou, John Buatti, and Xiaodong Wu. Simultaneous cosegmentation of tumors in PET-CT images using deep fully convolutional networks, Medical Physics, 2018, 46(2): 619-633. code

  5. Zisha Zhong, Yusung Kim, Leixin Zhou, Kristin Plichta, Bryan Allen, John Buatti, and Xiaodong Wu. 3D Fully Convolutional Networks for Co-Segmentation of Tumors on PET-CT Images, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), Washington, USA, 2018. Accepted. code

  6. Zisha Zhong, Yusung Kim, Leixin Zhou, Kristin Plichta, Bryan Allen, John Buatti, and Xiaodong Wu. Improving Tumor Co-Segmentation on PET-CT Images with 3D Co-Matting, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), Washington, USA, 2018. Accepted.

  7. Xiaodong Wu, Zisha Zhong, John Buatti, Junjie Bai. Multi-Scale Segmentation Using Deep Graph Cuts: Robust Lung Tumor Delineation in MVCBCT, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), Washington, USA, 2018. Accepted.

  8. Zisha Zhong, Yusung Kim, John Buatti, and Xiaodong Wu. 3D Alpha Matting Based Co-segmentation of Tumors on PET-CT Images in Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, Lecture Notes in Computer Science, pp. 31-42. Springer, Cham, Sept. 2017. code

  9. Zisha Zhong, Bin Fan, Shiming Xiang, Chunlei Huo, Haichang Li, Chunhong Pan. Structured Binary Feature Extraction for Hyperspectral Imagery Classification. International Conference on Image Processing, 2017, 525-529. code.

  10. Zisha Zhong, Bin Fan, Kun Ding, Haichang Li, Shiming Xiang, Chunhong Pan. Efficient Multiple Feature Fusion with Hashing for Hyperspectral Imagery Classification: A Comparative Study. IEEE Transactions on Geoscience and Remote Sensing. 54(8): 4461-4478, 2016. code and data, supplement

  11. Zisha Zhong, Bin Fan, Jiangyong Duan, Lingfeng Wang, Kun Ding, Shiming Xiang, and Chunhong Pan. Discriminant Tensor Spectral-Spatial Feature Extraction for Hyperspectral Image Classification. IEEE Geoscience Remote Sensing Letter. 12(5): 1028-1032, 2015.

  12. Kun Ding, Chunlei Huo, Yuan Xu, Zisha Zhong, Chunhong Pan. Sparse Hierarchical Clustering for VHR Image Change Detection. IEEE Geoscience Remote Sensing Letter. 12(3): 577-581, 2015.

  13. Haichang Li, Shiming Xiang, Zisha Zhong, Kun Ding, Chunhong Pan. Multicluster Spatial- Spectral Unsupervised Feature Selection for Hyperspectral Image Classification. IEEE Geoscience Remote Sensing Letter. 12(8): 1660-1664, 2015.

  14. Yuan Xu, Kun Ding, Chunlei Huo, Zisha Zhong, Haichang Li, and Chunhong Pan. Multiscale Region-Level VHR Image Change Detection via Sparse Change Descriptor and Robust Discriminative Dictionary Learning. The Scientific World Journal, 2015.

Scholarly Services

  1. Reviewer on IEEE Transactions on Geoscience and Remote Sensing (journal)

  2. Reviewer on IEEE Transactions on Cybernetics (journal)

  3. Reviewer on Pattern Recognition Letters (journal)

  4. Reviewer on Information Processing Letters (journal)

  5. Reviewer on International Conference on Pattern Recognition (conference)