1. Yu D.L, Zhang S.Y, Zhu X.F, Ma H.T, Han H and Song Y. Simulation of anodizing current-time curves and morphology evolution of TiO2 nanotube arrays[J]. Journal of Solid State Electrochemistry, 2014, 18(9): 2609-2617.

2. Wang P.S, Song Q, Han H and Cheng J. Sequentially supervised long short-term memory for gesture recognition [J]. Cognitive Computation, 2016, 8(5): 982-991.

2. Wang P.S, Song Q, Han H and Cheng J. Sequentially supervised long short-term memory for gesture recognition [J]. Cognitive Computation, 2016, 8(5): 982-991.

3. Li W.F, Rao Q, Chen X, Li G.Q and Zhang D.D. Segmentation of mitochondria based on SEM images [C]. IEEE International Conference on Mechatronics and Automation (ICMA), 2016: 1953-1958.

3. Li W.F, Rao Q, Chen X, Li G.Q and Zhang D.D. Segmentation of mitochondria based on SEM images [C]. IEEE International Conference on Mechatronics and Automation (ICMA), 2016: 1953-1958.

4. Rao Q, Han H, Li W.F, Shen L.J, Chen X and Xie Q.W. Automatically segmenting and reconstructing neurons in SEM images[C]. IEEE International Conference on Mechatronics and Automation (ICMA), 2016: 1908-1915.

4. Rao Q, Han H, Li W.F, Shen L.J, Chen X and Xie Q.W. Automatically segmenting and reconstructing neurons in SEM images[C]. IEEE International Conference on Mechatronics and Automation (ICMA), 2016: 1908-1915.

5. Sun M.S, Zhang D.D, Guo H.C, Deng H, Li W.F and Xie Q.W. 3D-reconstruction of synapses based on EM images[C]. IEEE International Conference on Mechatronics and Automation (ICMA), 2016: 1959-1964.

5.SunM.S,ZhangD.D,GuoH.C,DengH,LiW.FandXieQ.W.3D-reconstructionofsynapsesbasedonEMimages[C].IEEEInternatio

6. Li X.X, Ji G, Chen X, Ding W, Sun L, Xu W, Han H and Sun F. Large scale three-dimensional reconstruction of an entire Caenorhabditis elegans larva using AutoCUTS-SEM[J]. Journal of structural biology, 2017, 200(2): 87-96.

6. Li X.X, Ji G, Chen X, Ding W, Sun L, Xu W, Han H and Sun F. Large scale three-dimensional reconstruction of an entire Caenorhabditis elegans larva using AutoCUTS-SEM[J]. Journal of structural biology, 2017, 200(2): 87-96.

7. Xu B, Zhang Y, Du X.F, Li J, Zi H.X, Bu J.W, Yan Y, Han H and Du J.L. Neurons secrete miR-132-containing exosomes to regulate brain vascular integrity[J]. Cell Research, 2017, 27(7):882-897.

7. Xu B, Zhang Y, Du X.F, Li J, Zi H.X, Bu J.W, Yan Y, Han H and Du J.L. Neurons secrete miR-132-containing exosomes to regulate brain vascular integrity[J]. Cell Research, 2017, 27(7):882-897.

8. Cao H.W, Han H, Rao Q, Xiao C and Chen X. Microscopic neural image registration based on the structure of mitochondria[C]. SPIE Medical Imaging. International Society for Optics and Photonics, 2017: 1013325-1013325-6.

8. Cao H.W, Han H, Rao Q, Xiao C and Chen X. Microscopic neural image registration based on the structure of mitochondria[C]. SPIE Medical Imaging. International Society for Optics and Photonics, 2017: 1013325-1013325-6.

9. Hu J, Xiao C, Shen L.J, Xie Q.W, Chen X and Han H. Automatical detecting and connecting the mitochondria from the serial EM images[C]. IEEE Conference on Mechatronics and Automation(ICMA), 2017:1632—1637.

9. Hu J, Xiao C, Shen L.J, Xie Q.W, Chen X and Han H. Automatical detecting and connecting the mitochondria from the serial EM images[C]. IEEE Conference on Mechatronics and Automation(ICMA), 2017:1632—1637.

10 .Li L.Q, Li W.F, Zou B, Wang Y.L, Tang Y.Y and Han H. Learning with Coefficient-based Regularized Regression on Markov Resampling[J]. IEEE Transactions on Neural Networks and Learning Systems,2017,PP(99):1-11.

10 .Li L.Q, Li W.F, Zou B, Wang Y.L, Tang Y.Y and Han H. Learning with Coefficient-based Regularized Regression on Markov Resampling[J]. IEEE Transactions on Neural Networks and Learning Systems,2017,PP(99):1-11.

11. Li W.F, Deng H, Rao Q, Xie Q.W, Chen X and Han H. An automated pipeline for mitochondrial segmentation on ATUM-SEM stacks [J]. Journal of Bioinformatics and Computational Biology, 2017,15(3):1-26.

11. Li W.F, Deng H, Rao Q, Xie Q.W, Chen X and Han H. An automated pipeline for mitochondrial segmentation on ATUM-SEM stacks [J]. Journal of Bioinformatics and Computational Biology, 2017,15(3):1-26.

12. Li W.F, Zhang D.D, Xie Q.W, Chen X and Han H. An automated detection for axonal boutons in vivo two-photon imaging of mouse[C]. Eighth International Conference on Graphic and Image Processing. International Society for Optics and Photonics, 2017: 1022

12. Li W.F, Zhang D.D, Xie Q.W, Chen X and Han H. An automated detection for axonal boutons in vivo two-photon imaging of mouse[C]. Eighth International Conference on Graphic and Image Processing. International Society for Optics and Photonics, 2017: 102250Q-102250Q-5.

13. Rao Q, Xiao C, Han H, Chen X, Shen L.J and Xie Q.W. Deep Learning and Shapes Similarity for Joint Segmentation and Tracing single Neurons in SEM images[C]. SPIE Medical Imaging. International Society for Optics and Photonics, 2017: 1013329-1013329-8.

13. Rao Q, Xiao C, Han H, Chen X, Shen L.J and Xie Q.W. Deep Learning and Shapes Similarity for Joint Segmentation and Tracing single Neurons in SEM images[C]. SPIE Medical Imaging. International Society for Optics and Photonics, 2017: 1013329-1013329-8.

14. Xiao C, Rao Q, Zhang D.D, Chen X, Han H and Xie Q.W. 3D reconstruction of synapses with deep learning based on EM Images[C]. SPIE Medical Imaging. International Society for Optics and Photonics, 2017: 101324N-101324N-6.

14. Xiao C, Rao Q, Zhang D.D, Chen X, Han H and Xie Q.W. 3D reconstruction of synapses with deep learning based on EM Images[C]. SPIE Medical Imaging. International Society for Optics and Photonics, 2017: 101324N-101324N-6.

15. Xiao Z.P, Liu X, Han H, Xie Q.W and Shen L.J. Watershed learning merge tree used for segmenting neurons in SEM images[C]. IEEE International Conference on Mechatronics and Automation (ICMA), 2017: 1638-1643.

15. Xiao Z.P, Liu X, Han H, Xie Q.W and Shen L.J. Watershed learning merge tree used for segmenting neurons in SEM images[C]. IEEE International Conference on Mechatronics and Automation (ICMA), 2017: 1638-1643.

17. Xie Q.W, Chen X, Deng H, Liu D.Q, Yang Y and Han H. An Automated Pipeline for Bouton, Spine, and Synapse Detection of In vivo Two-photon Images of Mouse[J].Biodata Mining,2017,10(1): 40.

17. Xie Q.W, Chen X, Deng H, Liu D.Q, Yang Y and Han H. An Automated Pipeline for Bouton, Spine, and Synapse Detection of In vivo Two-photon Images of Mouse[J].Biodata Mining,2017,10(1): 40.

18. Maoke. Y, Guoqing. L, Chang.S, Pan.Z, Hua.H. GAN based Sample Simulation for SEM-Image Super Resolution[C]. CCF Chinese Conference on Computer Vision, 2017: 383-393.

18. Maoke. Y, Guoqing. L, Chang.S, Pan.Z, Hua.H. GAN based Sample Simulation for SEM-Image Super Resolution[C]. CCF Chinese Conference on Computer Vision, 2017: 383-393.

19. Yin L, Xiao C, Xie Q.W, Chen X, Shen L.J and Han H. An efficient method for neuronal tracking in electron microscopy images[C]. IEEE International Conference on Mechatronics and Automation (ICMA), 2017: 1865-1870.

19. Yin L, Xiao C, Xie Q.W, Chen X, Shen L.J and Han H. An efficient method for neuronal tracking in electron microscopy images[C]. IEEE International Conference on Mechatronics and Automation (ICMA), 2017: 1865-1870.

20. Yu C, Chen X, Xie Q W, Li G Q, Yin L and Han H. Image deformation using modified Moving Least Squares with outlines[C]. IEEE International Conference on Mechatronics and Automation (ICMA), 2017: 1047-1051.

20. Yu C, Chen X, Xie Q W, Li G Q, Yin L and Han H. Image deformation using modified Moving Least Squares with outlines[C]. IEEE International Conference on Mechatronics and Automation (ICMA), 2017: 1047-1051.

21. Zhou F.X, Chen X, Sun R and Han H. Grayscale Inhomogeneity Correction Method for Multiple Mosaicked Electron Microscope Images[C]. Ninth International Conference on Graphic and Image Processing (ICGIP 2017). International Society for Optics and Photon

21. Zhou F.X, Chen X, Sun R and Han H. Grayscale Inhomogeneity Correction Method for Multiple Mosaicked Electron Microscope Images[C]. Ninth International Conference on Graphic and Image Processing (ICGIP 2017). International Society for Optics and Photonics, 2018, 10615: 106152N.

22. Liao M.Y, Ma H.T, Yu D.L, Han H, Xu X.R and Zhu X.F. Formation mechanism of anodic titanium oxide in mixed electrolytes[J]. Materials Research Bulletin, 2017, 95: 539-545.

22. Liao M.Y, Ma H.T, Yu D.L, Han H, Xu X.R and Zhu X.F. Formation mechanism of anodic titanium oxide in mixed electrolytes[J]. Materials Research Bulletin, 2017, 95: 539-545.

23. Dong G.D, Zhao J, Shen L.J, Xia J.Y, Meng H, Yu W.H, Huang Q, Han H, Liang X.L and Peng L.M. Large-area and highly uniform carbon nanotube film for high-performance thin film transistors[J]. Nano Research, 1-12.

23. Dong G.D, Zhao J, Shen L.J, Xia J.Y, Meng H, Yu W.H, Huang Q, Han H, Liang X.L and Peng L.M. Large-area and highly uniform carbon nanotube film for high-performance thin film transistors[J]. Nano Research, 1-12.

24. Shu C, Chen X, Xie Q.W, and Hua H. An Unsupervised Network for Fast Microscopic Image Registration[C]. Medical Imaging 2018: Digital Pathology. International Society for Optics and Photonics, 2018, 10581: 105811D.

24. Shu C, Chen X, Xie Q.W, and Hua H. An Unsupervised Network for Fast Microscopic Image Registration[C]. Medical Imaging 2018: Digital Pathology. International Society for Optics and Photonics, 2018, 10581: 105811D.

25. Xiao C, Li W.F, Chen X, Han H and Xie Q.W. An Effective Fully Deep Convolutional Neural Network for Mitochondria Segmentation based on ATUM-SEM[C]. Medical Imaging 2018: Image Processing. International Society for Optics and Photonics, 2018, 10574: 10

25. Xiao C, Li W.F, Chen X, Han H and Xie Q.W. An Effective Fully Deep Convolutional Neural Network for Mitochondria Segmentation based on ATUM-SEM[C]. Medical Imaging 2018: Image Processing. International Society for Optics and Photonics, 2018, 10574: 105740C.

26. Xiao C, Liu J, Chen X, Han H, Shu C and Xie Q.W. Deep Contextual Residual Network for Electron Microscopy Image Segmentation in Connectomics[C]. IEEE International Symposium on Biomedical Imaging(ISBI), 2018.（accepted）

26. Xiao C, Liu J, Chen X, Han H, Shu C and Xie Q.W. Deep Contextual Residual Network for Electron Microscopy Image Segmentation in Connectomics[C]. IEEE International Symposium on Biomedical Imaging(ISBI), 2018.（accepted）

27. Shu C, Chen X, Xie Q.W, Xiao C and Han H. Non-iterative simultaneous rigid registration method for serial sections of biological tissue[C]. IEEE International Symposium on Biomedical Imaging(ISBI),2018(accepted)

27. Shu C, Chen X, Xie Q.W, Xiao C and Han H. Non-iterative simultaneous rigid registration method for serial sections of biological tissue[C]. IEEE International Symposium on Biomedical Imaging(ISBI),2018(accepted)

28. Xiao C, Li W.F, Deng H, Chen X, Yang Y, Xie Q.W and Han H. Effective Automated Pipeline for 3D-Reconstruction of Synapses based on Deep Learning[J]. Bmc Bioinformatics, 2018, 19(1):263.

28. Xiao C, Li W.F, Deng H, Chen X, Yang Y, Xie Q.W and Han H. Effective Automated Pipeline for 3D-Reconstruction of Synapses based on Deep Learning[J]. Bmc Bioinformatics, 2018, 19(1):263.

29. Liu J, Li W, Xiao C, et al. Automatic Detection and Segmentation of Mitochondria from SEM Images using Deep Neural Network[C]. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2018: 628-63

29. Liu J, Li W, Xiao C, et al. Automatic Detection and Segmentation of Mitochondria from SEM Images using Deep Neural Network[C]. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2018: 628-631.

30. Li W, Liu J, Xiao C, et al. A Novel 3D Connection Algorithm of Mitochondria From ATUM-SEM Stacks Based on Segmentation Information in Context[C]. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

30. Li W, Liu J, Xiao C, et al. A Novel 3D Connection Algorithm of Mitochondria From ATUM-SEM Stacks Based on Segmentation Information in Context[C]. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2018: 5105-5108.

31. Zhao L, Chen X, Shu C, Yu C and Han H. Real-time Image Deformation Using Locally-weighted Moving Least Squares[C]. International Conference on Brain Inspired Cognitive Systems. Springer, Cham, 2018: 707-716.

31. Zhao L, Chen X, Shu C, Yu C and Han H. Real-time Image Deformation Using Locally-weighted Moving Least Squares[C]. International Conference on Brain Inspired Cognitive Systems. Springer, Cham, 2018: 707-716.

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中国 : 201110014846.7, 2014-8-27.

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