| Emotion classification with data augmentation using generative adversarial networks X Zhu, Y Liu, J Li, T Wan, Z Qin Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018 | 253 | 2018 |
| Feature integration analysis of bag-of-features model for image retrieval J Yu, Z Qin, T Wan, X Zhang Neurocomputing 120, 355-364, 2013 | 206 | 2013 |
| Multifocus image fusion based on robust principal component analysis T Wan, C Zhu, Z Qin Pattern Recognition Letters 34 (9), 1001-1008, 2013 | 182 | 2013 |
| Auto-painter: Cartoon image generation from sketch by using conditional Wasserstein generative adversarial networks Y Liu, Z Qin, T Wan, Z Luo Neurocomputing 311, 78-87, 2018 | 168 | 2018 |
| Automated grading of breast cancer histopathology using cascaded ensemble with combination of multi-level image features T Wan, J Cao, J Chen, Z Qin Neurocomputing 229, 34-44, 2017 | 159 | 2017 |
| A SIFT-LBP image retrieval model based on bag of features X Yuan, J Yu, Z Qin, T Wan IEEE international conference on image processing, 1061-1064, 2011 | 134 | 2011 |
| Compressive image fusion T Wan, N Canagarajah, A Achim 2008 15th IEEE international conference on image processing, 1308-1311, 2008 | 125 | 2008 |
| Segmentation-driven image fusion based on alpha-stable modeling of wavelet coefficients T Wan, N Canagarajah, A Achim IEEE Transactions on Multimedia 11 (4), 624-633, 2009 | 115 | 2009 |
| Accurate segmentation of overlapping cells in cervical cytology with deep convolutional neural networks T Wan, S Xu, C Sang, Y Jin, Z Qin Neurocomputing 365, 157-170, 2019 | 76 | 2019 |
| A Radio-genomics Approach for Identifying High Risk Estrogen Receptor-positive Breast Cancers on DCE-MRI: Preliminary Results in Predicting OncotypeDX Risk … T Wan, BN Bloch, D Plecha, CIL Thompson, H Gilmore, C Jaffe, L Harris, ... Scientific reports 6 (1), 21394, 2016 | 68 | 2016 |
| Robust nuclei segmentation in histopathology using ASPPU-Net and boundary refinement T Wan, L Zhao, H Feng, D Li, C Tong, Z Qin Neurocomputing 408, 144-156, 2020 | 64 | 2020 |
| An application of compressive sensing for image fusion T Wan, Z Qin Proceedings of the ACM International Conference on Image and Video Retrieval …, 2010 | 64 | 2010 |
| Pixel level data augmentation for semantic image segmentation using generative adversarial networks S Liu, J Zhang, Y Chen, Y Liu, Z Qin, T Wan ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 60 | 2019 |
| Automated identification and grading of coronary artery stenoses with X-ray angiography T Wan, H Feng, C Tong, D Li, Z Qin Computer methods and programs in biomedicine 167, 13-22, 2018 | 57 | 2018 |
| Segmentation of noisy colour images using Cauchy distribution in the complex wavelet domain T Wan, N Canagarajah, A Achim IET Image Processing 5 (2), 159-170, 2011 | 54 | 2011 |
| Text generation based on generative adversarial nets with latent variables H Wang, Z Qin, T Wan Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018 | 53 | 2018 |
| Stock volatility prediction using recurrent neural networks with sentiment analysis Y Liu, Z Qin, P Li, T Wan Advances in Artificial Intelligence: From Theory to Practice: 30th …, 2017 | 49 | 2017 |
| Automated coronary artery tree segmentation in X-ray angiography using improved Hessian based enhancement and statistical region merging T Wan, X Shang, W Yang, J Chen, D Li, Z Qin Computer methods and programs in biomedicine 157, 179-190, 2018 | 46 | 2018 |
| Classification of benign and malignant breast tumors in ultrasound images based on multiple sonographic and textural features R Liao, T Wan, Z Qin 2011 Third International Conference on Intelligent Human-Machine Systems and …, 2011 | 43 | 2011 |
| Wavelet-based statistical features for distinguishing mitotic and non-mitotic cells in breast cancer histopathology T Wan, X Liu, J Chen, Z Qin 2014 IEEE International conference on image processing (ICIP), 2290-2294, 2014 | 34 | 2014 |
Zengchang QinBeihang University確認したメール アドレス: buaa.edu.cn