Следене
Zisha Zhong
Zisha Zhong
Postdoc, NCI, NIH
Потвърден имейл адрес: nih.gov - Начална страница
Заглавие
Позовавания
Позовавания
Година
3D fully convolutional networks for co-segmentation of tumors on PET-CT images
Z Zhong, Y Kim, L Zhou, K Plichta, B Allen, J Buatti, X Wu
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
892018
Discriminant tensor spectral–spatial feature extraction for hyperspectral image classification
Z Zhong, B Fan, J Duan, L Wang, K Ding, S Xiang, C Pan
IEEE Geoscience and Remote Sensing Letters 12 (5), 1028-1032, 2014
842014
Simultaneous cosegmentation of tumors in PET‐CT images using deep fully convolutional networks
Z Zhong, Y Kim, K Plichta, BG Allen, L Zhou, J Buatti, X Wu
Medical physics 46 (2), 619-633, 2019
652019
Sparse hierarchical clustering for VHR image change detection
K Ding, C Huo, Y Xu, Z Zhong, C Pan
IEEE Geoscience and Remote Sensing Letters 12 (3), 577-581, 2014
362014
Efficient multiple feature fusion with hashing for hyperspectral imagery classification: A comparative study
Z Zhong, B Fan, K Ding, H Li, S Xiang, C Pan
IEEE Transactions on Geoscience and Remote Sensing 54 (8), 4461-4478, 2016
332016
Multicluster spatial–spectral unsupervised feature selection for hyperspectral image classification
H Li, S Xiang, Z Zhong, K Ding, C Pan
IEEE Geoscience and Remote Sensing Letters 12 (8), 1660-1664, 2015
152015
3D alpha matting based co-segmentation of tumors on PET-CT images
Z Zhong, Y Kim, J Buatti, X Wu
Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and …, 2017
132017
Improving tumor co-segmentation on PET-CT images with 3D co-matting
Z Zhong, Y Kim, L Zhou, K Plichta, B Allen, J Buatti, X Wu
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
92018
Multi-scale segmentation using deep graph cuts: Robust lung tumor delineation in MVCBCT
X Wu, Z Zhong, J Buatti, J Bai
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
82018
Deep Neural Networks for Surface Segmentation Meet Conditional Random Fields
L Zhou, Z Zhong, A Shah, B Qiu, J Buatti, X Wu
arXiv preprint arXiv:1906.04714, 2019
32019
Structured binary feature extraction for hyperspectral imagery classification
Z Zhong, B Fan, J Bai, S Xiang, C Pan
2017 IEEE International Conference on Image Processing (ICIP), 525-529, 2017
32017
Train in Dense and Test in Sparse: A Method for Sparse Object Detection in Aerial Images
K Ding, G He, H Gu, Z Zhong, S Xiang, C Pan
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020
22020
3-d surface segmentation meets conditional random fields
L Zhou, Z Zhong, A Shah, X Wu
arXiv preprint arXiv:1906.04714, 2019
22019
Multiscale region-level VHR image change detection via sparse change descriptor and robust discriminative dictionary learning
Y Xu, K Ding, C Huo, Z Zhong, H Li, C Pan
The Scientific World Journal 2015, 2015
12015
PackDet: Packed Long-Head Object Detector
K Ding, G He, H Gu, Z Zhong, S Xiang, C Pan
2020
Supplement of “Efficient Multiple Feature Fusion with Hashing for Hyperspectral Imagery Classification: A Comparative Study”
Z Zhong, B Fan, K Ding, H Li, S Xiang, C Pan
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