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2020 – today
- 2022
[j6]Jun Zhao, Xiaosong Zhou, Guohua Shi, Ning Xiao, Kai Song, Juanjuan Zhao, Rui Hao, Keqin Li:
Semantic consistency generative adversarial network for cross-modality domain adaptation in ultrasound thyroid nodule classification. Appl. Intell. 52(9): 10369-10383 (2022)- 2021
- [j5]Yiwei Chen, Yi He, Jing Wang, Wanyue Li, Lina Xing, Xin Zhang, Guohua Shi
:
DeepLab and Bias Field Correction Based Automatic Cone Photoreceptor Cell Identification with Adaptive Optics Scanning Laser Ophthalmoscope Images. Wirel. Commun. Mob. Comput. 2021: 2034125:1-2034125:8 (2021) - [c7]Wanyue Li, Yi He, Wen Kong, Jing Wang, Guohua Deng, Yiwei Chen, Guohua Shi:
SequenceGAN: Generating Fundus Fluorescence Angiography Sequences from Structure Fundus Image. SASHIMI@MICCAI 2021: 110-120 - 2020
- [j4]Yiwei Chen, Yi He, Jing Wang, Wanyue Li, Lina Xing, Feng Gao, Guohua Shi:
Automated Cone Photoreceptor Cell Segmentation and Identification in Adaptive Optics Scanning Laser Ophthalmoscope Images Using Morphological Processing and Watershed Algorithm. IEEE Access 8: 105786-105792 (2020) - [j3]Jiawen Wang, Yanfen Cui, Guohua Shi, Juanjuan Zhao, Xiaotang Yang, Yan Qiang, Qianqian Du, Yue Ma, Ntikurako Guy-Fernand Kazihise:
Multi-branch cross attention model for prediction of KRAS mutation in rectal cancer with t2-weighted MRI. Appl. Intell. 50(8): 2352-2369 (2020) - [j2]Guohua Shi, Jiawen Wang, Yan Qiang, Xiaotang Yang, Juanjuan Zhao, Rui Hao, Wenkai Yang, Qianqian Du, Ntikurako Guy-Fernand Kazihise:
Knowledge-guided synthetic medical image adversarial augmentation for ultrasonography thyroid nodule classification. Comput. Methods Programs Biomed. 196: 105611 (2020) - [c6]Wanyue Li, Yi He, Jing Wang, Wen Kong, Yiwei Chen, Guohua Shi:
An Unsupervised Adversarial Learning Approach to Fundus Fluorescein Angiography Image Synthesis for Leakage Detection. SASHIMI@MICCAI 2020: 142-152 - [c5]Wanyue Li, Wen Kong, Yiwei Chen, Jing Wang, Yi He, Guohua Shi, Guohua Deng:
Generating Fundus Fluorescence Angiography Images from Structure Fundus Images Using Generative Adversarial Networks. MIDL 2020: 424-439 - [c4]Jing Wang, Yiwei Chen, Wanyue Li, Wen Kong, Yi He, Chuihui Jiang, Guohua Shi:
Domain adaptation model for retinopathy detection from cross-domain OCT images. MIDL 2020: 795-810 - [i1]Wanyue Li, Wen Kong, Yiwei Chen, Jing Wang, Yi He, Guohua Shi, Guohua Deng:
Generating Fundus Fluorescence Angiography Images from Structure Fundus Images Using Generative Adversarial Networks. CoRR abs/2006.10216 (2020)
2010 – 2019
- 2019
- [j1]Wanyue Li, Yi He, Wen Kong, Feng Gao, Jing Wang, Guohua Shi:
Enhancement of Retinal Image From Line-Scanning Ophthalmoscope Using Generative Adversarial Networks. IEEE Access 7: 99830-99841 (2019) - [c3]Wenkai Yang, Juanjuan Zhao, Yan Qiang, Xiaotang Yang, Yunyun Dong, Qianqian Du, Guohua Shi, Muhammad Bilal Zia:
DScGANS: Integrate Domain Knowledge in Training Dual-Path Semi-supervised Conditional Generative Adversarial Networks and S3VM for Ultrasonography Thyroid Nodules Classification. MICCAI (4) 2019: 558-566 - 2017
- [c2]Na Yang, Guohua Shi, Ting Yang, Lirong Wang:
Speckle reduction for optical coherence tomography images based on local variance. CISP-BMEI 2017: 1-5 - [c1]Ting Yang, Guohua Shi, Na Yang, Lirong Wang:
Combining multiple feature for texture image classification. CISP-BMEI 2017: 1-5
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