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2020 – today
- 2024
[c16]Haonan Hu
, Shuge Lei, Desheng Sun, Huabin Zhang, Kehong Yuan, Jian Dai, Jijun Tang, Yan Tong, Qiongyu Ye:
Dual-Channel Reliable Breast Ultrasound Image Classification Based on Explainable Attribution and Uncertainty Quantification. IPMV 2024: 53-61- [i17]Shuge Lei, Haonan Hu, Dasheng Sun, Huabin Zhang, Kehong Yuan, Jian Dai, Jijun Tang, Yan Tong:
Dual-Channel Reliable Breast Ultrasound Image Classification Based on Explainable Attribution and Uncertainty Quantification. CoRR abs/2401.03664 (2024) - [i16]Jiaqi Wang, Yuhang Zang, Pan Zhang, Tao Chu, Yuhang Cao, Zeyi Sun, Ziyu Liu, Xiaoyi Dong, Tong Wu, Dahua Lin, Zeming Chen, Zhi Wang, Lingchen Meng, Wenhao Yao, Jianwei Yang, Sihong Wu, Zhineng Chen, Zuxuan Wu, Yu-Gang Jiang, Peixi Wu, Bosong Chai, Xuan Nie, Longquan Yan, Zeyu Wang, Qifan Zhou, Boning Wang, Jiaqi Huang, Zunnan Xu, Xiu Li, Kehong Yuan, Yanyan Zu, Jiayao Ha, Qiong Gao, Licheng Jiao:
V3Det Challenge 2024 on Vast Vocabulary and Open Vocabulary Object Detection: Methods and Results. CoRR abs/2406.11739 (2024) - 2022
- [j12]Guanglei Sun, You-lin Shang, Kehong Yuan, Huimin Gao:
An Improved Whale Optimization Algorithm Based on Nonlinear Parameters and Feedback Mechanism. Int. J. Comput. Intell. Syst. 15(1): 38 (2022) - [i15]Yingni Wang, Kehong Yuan:
Cognitive Explainers of Graph Neural Networks Based on Medical Concepts. CoRR abs/2201.07798 (2022) - [i14]Pingping Dai, Licong Dong, Ruihan Zhang, Haiming Zhu, Jie Wu, Kehong Yuan:
Soft-CP: A Credible and Effective Data Augmentation for Semantic Segmentation of Medical Lesions. CoRR abs/2203.10507 (2022) - [i13]Pingping Dai, Haiming Zhu, Shuang Ge, Ruihan Zhang, Xiang Qian, Xi Li, Kehong Yuan:
MIPR: Automatic Annotation of Medical Images with Pixel Rearrangement. CoRR abs/2204.10513 (2022) - [i12]Shuang Ge, Kehong Yuan, Maokun Han, Desheng Sun, Huabin Zhang, Qiongyu Ye:
BSM loss: A superior way in modeling aleatory uncertainty of fine_grained classification. CoRR abs/2206.04479 (2022) - 2021
- [c15]Yongpei Zhu, Zicong Zhou, Guojun Liao, Kehong Yuan:
A New Unsupervised Learning Method for 3D Deformable Medical Image Registration. ISBI 2021: 908-912 - [c14]Yongpei Zhu, Zicong Zhou, Guojun Liao, Kehong Yuan:
A novel unsupervised learning model for diffeomorphic image registration. Image Processing 2021 - [i11]Jian Dai, Shuge Lei, Licong Dong, Xiaona Lin, Huabin Zhang, Desheng Sun, Kehong Yuan:
More Reliable AI Solution: Breast Ultrasound Diagnosis Using Multi-AI Combination. CoRR abs/2101.02639 (2021) - [i10]Yingni Wang, Shuge Lei, Jian Dai, Kehong Yuan:
Knowledge AI: New Medical AI Solution for Medical image Diagnosis. CoRR abs/2101.03063 (2021) - [i9]Shuang Ge, Qiongyu Ye, Wenquan Xie, Desheng Sun, Huabin Zhang, Xiaobo Zhou, Kehong Yuan:
AI assisted method for efficiently generating breast ultrasound screening reports. CoRR abs/2107.13431 (2021) - 2020
- [c13]Yongpei Zhu, Hongwei Fan, Kehong Yuan:
Classification Mechanism of Convolutional Neural Network for Facial Expression Recognition. ICPR Workshops (3) 2020: 717-729 - [c12]Yongpei Zhu, Zicong Zhou, Guojun Liao, Kehong Yuan:
BCAU-Net: A Novel Architecture with Binary Channel Attention Module for MRI Brain Segmentation. ICPR 2020: 5690-5695 - [c11]Yongpei Zhu, Zicong Zhou, Guojun Liao, Kehong Yuan:
Csrgan: Medical Image Super-Resolution Using A Generative Adversarial Network. ISBI Workshops 2020: 1-4 - [c10]Yongpei Zhu, Zicong Zhou, Guojun Liao, Kehong Yuan:
New loss functions for medical image registration based on VoxelMorph. Image Processing 2020: 113132E
2010 – 2019
- 2019
- [j11]Yongpei Zhu, Zicong Zhou, Guojun Liao, Qianxi Yang, Kehong Yuan:
Effects of Differential Geometry Parameters on Grid Generation and Segmentation of MRI Brain Image. IEEE Access 7: 68529-68539 (2019) - [j10]Yang Deng, Yao Sun, Yongpei Zhu, Yue Xu, Qianxi Yang, Shuo Zhang, Zhanyu Wang, Jirang Sun, Weiling Zhao, Xiaobo Zhou, Kehong Yuan:
A New Framework to Reduce Doctor's Workload for Medical Image Annotation. IEEE Access 7: 107097-107104 (2019) - [c9]Lianxiang Cui, Kehong Yuan, Xiaoyu Zhao, Larry Y. D. Mou:
Construction of Elderly Mutual Aid Time Bank Based on Blockchain. MDM 2019: 462-466 - [i8]Yang Deng, Yao Sun, Yongpei Zhu, Yue Xu, Qianxi Yang, Shuo Zhang, Mingwang Zhu, Jirang Sun, Weiling Zhao, Xiaobo Zhou, Kehong Yuan:
Efforts estimation of doctors annotating medical image. CoRR abs/1901.02355 (2019) - [i7]Yongpei Zhu, Zicong Zhou, Guojun Liao, Qianxi Yang, Kehong Yuan:
The Generation and Application of Medical Image Grid Based on Differential Geometric Features. CoRR abs/1902.00369 (2019) - [i6]Yongpei Zhu, Hongwei Fan, Kehong Yuan:
Facial Expression Recognition Research Based on Deep Learning. CoRR abs/1904.09737 (2019) - [i5]Yongpei Zhu, Zicong Zhou, Guojun Liao, Kehong Yuan:
Deformable Registration Using Average Geometric Transformations for Brain MR Images. CoRR abs/1907.09670 (2019) - 2018
- [i4]Yang Deng, Yao Sun, Yongpei Zhu, Mingwang Zhu, Wei Han, Kehong Yuan:
A Strategy of MR Brain Tissue Images' Suggestive Annotation Based on Modified U-Net. CoRR abs/1807.07510 (2018) - [i3]Yang Deng, Yao Sun, Yongpei Zhu, Shuo Zhang, Mingwang Zhu, Kehong Yuan:
DASN: Data-Aware Skilled Network for Accurate MR Brain Tissue Segmentation. CoRR abs/1807.08473 (2018) - [i2]Yao Sun, Yang Deng, Yue Xu, Shuo Zhang, Mingwang Zhu, Kehong Yuan:
A Multi-channel Network with Image Retrieval for Accurate Brain Tissue Segmentation. CoRR abs/1808.00457 (2018) - [i1]Yongpei Zhu, Zicong Zhou, Guojun Liao, Qianxi Yang, Kehong Yuan:
The Method of Multimodal MRI Brain Image Segmentation Based on Differential Geometric Features. CoRR abs/1811.04281 (2018) - 2015
- [c8]Huijun Li, Shuxu Zhang, Kehong Yuan, Linjing Wang, Yingying Peng:
A fast iterative reconstruction method based on the selective total variation for sparse angular CT. BMEI 2015: 46-51 - [c7]Lu Zhou, Shuxu Zhang, Kehong Yuan, Linjing Wang, Yingying Peng:
Dose deformation and accumulation for adaptive radiotherapy in nasopharyngeal carcinoma. BMEI 2015: 397-401 - [c6]Linjing Wang, Shuxu Zhang, Kehong Yuan, Lu Zhou, Ruihao Wang:
Dosimetric study of the deformable image registration based lung cancer adaptive radiotherapy. BMEI 2015: 402-406 - 2012
- [j9]Quansheng Xu, Kangning Xie, Kehong Yuan, Lijuan Yu, Wenzhi Wang, Datian Ye:
A statistical study of the factors influencing the extent of respiratory motion blur in PET imaging. Comput. Biol. Medicine 42(1): 8-18 (2012) - [j8]Chaijie Duan, Kehong Yuan, Fanghua Liu, Ping Xiao, Guoqing Lv, Zhengrong Liang:
An Adaptive Window-Setting Scheme for Segmentation of Bladder Tumor Surface via MR Cystography. IEEE Trans. Inf. Technol. Biomed. 16(4): 720-729 (2012) - [c5]Yang Lu, Gang Xu, Fulin Zhang, Kehong Yuan:
An improved Chan-Vese (CV) model for lumen segmentation of carotid artery. ICCH 2012: 102-111 - 2011
- [j7]Kehong Yuan, Zhen Tian, Jiying Zou, Yanling Bai, Qingshan You:
Brain CT image database building for computer-aided diagnosis using content-based image retrieval. Inf. Process. Manag. 47(2): 176-185 (2011) - [j6]Chaijie Duan, Kehong Yuan, Fanghua Liu, Ping Xiao, Guoqing Lv, Zhengrong Liang:
Volume-Based Features for Detection of Bladder Wall Abnormal Regions via MR Cystography. IEEE Trans. Biomed. Eng. 58(9): 2506-2512 (2011) - 2010
- [c4]Fanghua Liu, Chaijie Duan, Kehong Yuan, Zhengrong Liang, Shanglian Bao:
Detecting Bladder Abnormalities Based on Inter-layer Intensity Curve for Virtual Cystoscopy. Virtual Colonoscopy and Abdominal Imaging 2010: 76-83
2000 – 2009
- 2008
- [j5]Weixiang Liu, Kehong Yuan, Datian Ye:
On alpha-divergence based nonnegative matrix factorization for clustering cancer gene expression data. Artif. Intell. Medicine 44(1): 1-5 (2008) - [j4]Weixiang Liu, Kehong Yuan:
Sparse p-norm Nonnegative Matrix Factorization for clustering gene expression data. Int. J. Data Min. Bioinform. 2(3): 236-249 (2008) - [j3]Weixiang Liu, Kehong Yuan, Jian Wu, Datian Ye, Zhen Ji, Siping Chen:
Combining Generalized NMF and Discriminative Mixture Models for Classification of Gene Expression Data. Int. J. Pattern Recognit. Artif. Intell. 22(8): 1587-1598 (2008) - [j2]Weixiang Liu, Kehong Yuan, Datian Ye:
Reducing microarray data via nonnegative matrix factorization for visualization and clustering analysis. J. Biomed. Informatics 41(4): 602-606 (2008) - [c3]Fei Peng, Kehong Yuan, Shu Feng, Wufan Chen:
Pre-Processing of CT Brain Images for Content-Based Image Retrieval. BMEI (2) 2008: 208-212 - [c2]Jiying Zou, Kehong Yuan, Weixiang Liu, Shu Feng, Ziqiang Chen, Wufan Chen:
Brain CT Image Feature Extraction Using Nonnegative Tensor Factorization. IWCIA Special Track on Applications 2008: 85-91 - [c1]Weixiang Liu, Fei Peng, Shu Feng, Jiangsheng You, Ziqiang Chen, Jian Wu, Kehong Yuan, Datian Ye:
Semantic Feature Extraction for Brain CT Image Clustering Using Nonnegative Matrix Factorization. ICMB 2008: 41-48 - 2005
- [j1]Kehong Yuan, Lianwen Wu, QianSheng Cheng, Shanglian Bao, Chao Chen, Hongjie Zhang:
A novel fuzzy C-means algorithm and its application. Int. J. Pattern Recognit. Artif. Intell. 19(8): 1059-1066 (2005)
Coauthor Index
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