Kehong Yuan

发表

Low-dose CT reconstruction via edge-preserving total variation regularization.

Steve B. Jiang, T. Pan, X. Jia, 2010, Physics in medicine and biology.

MIPR: Automatic Annotation of Medical Images with Pixel Rearrangement

Kehong Yuan, Pingping Dai, Haiming Zhu, 2022, ArXiv.

Low-dose CT reconstruction via edge-preserving total variation regularization

Steve B. Jiang, T. Pan, X. Jia, 2010, Physics in medicine and biology.

Region Feature Extraction of Brain CT Image for Classification

Wufan Chen, Kehong Yuan, Fei Peng, 2008, 2008 2nd International Conference on Bioinformatics and Biomedical Engineering.

Automatic Position Annotation of Brain CT Axial Slice for Content-Based Image Retrieval

Kehong Yuan, Zhen Tian, Jiying Zou, 2009, 2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC).

Regularized Scatter Measure for Linear Feature Extraction

Kehong Yuan, Weixiang Liu, Guang Zhang, 2007, Second International Conference on Innovative Computing, Informatio and Control (ICICIC 2007).

AI assisted method for efficiently generating breast ultrasound screening reports

Kehong Yuan, Xiaobo Zhou, Shuang Ge, 2021, Current medical imaging.

Cardiac Segmentation Method Based on Domain Knowledge

Kehong Yuan, Xiaobo Zhou, Yong Jiang, 2022, Ultrasonic imaging.

EFFICIENT FITTING RANGE FOR GLUCOSE MEASUREMENT WITH OPTICAL COHERENCE TOMOGRAPHY

Kehong Yuan, Shu Feng, D. Ye, 2009 .

An Improved Consensus Clustering for Nonnegative Matrix Factorization in Molecular Cancer Class Discovery

Kehong Yuan, Tianfu Wang, Siping Chen, 2010, 2010 Chinese Conference on Pattern Recognition (CCPR).

Precision of glucose measurement in Intralipid suspensions with optical coherence tomography

Kehong Yuan, Shu Feng, D. Ye, 2008, 2008 International Conference on Information Technology and Applications in Biomedicine.

BSM loss: A superior way in modeling aleatory uncertainty of fine_grained classification

Kehong Yuan, Shuang Ge, Qiongyu Ye, 2022, ArXiv.

Brain CT Image Feature Extraction Using Nonnegative Tensor Factorization

Wufan Chen, Kehong Yuan, Weixiang Liu, 2008, IWCIA Special Track on Applications.

Medical Image Super-Resolution Using a Generative Adversarial Network

Kehong Yuan, Yongpei Zhu, Xuesheng Zhang, 2019, 1902.00369.

Dose deformation and accumulation for adaptive radiotherapy in nasopharyngeal carcinoma

Kehong Yuan, Lu Zhou, Yingying Peng, 2015, 2015 8th International Conference on Biomedical Engineering and Informatics (BMEI).

Novel and Significant Spermatogenesis-related Gene Selection and Confirmation with Microarrays

A. Tang, Kehong Yuan, Weixiang Liu, 2008 .

Combining Generalized NMF and Discriminative Mixture Models for Classification of Gene Expression Data

Siping Chen, Kehong Yuan, Weixiang Liu, 2008, Int. J. Pattern Recognit. Artif. Intell..

On alpha-divergence based nonnegative matrix factorization for clustering cancer gene expression data

Kehong Yuan, Weixiang Liu, Datian Ye, 2008, Artif. Intell. Medicine.

Sparse Nonnegative Matrix Factorization for Classification of Gene Expression Data

Kehong Yuan, Weixiang Liu, Kehong Yuan, 2007, 2007 1st International Conference on Bioinformatics and Biomedical Engineering.

Reducing microarray data via nonnegative matrix factorization for visualization and clustering analysis

Kehong Yuan, Weixiang Liu, Datian Ye, 2008, J. Biomed. Informatics.

More Reliable AI Solution: Breast Ultrasound Diagnosis Using Multi-AI Combination

Kehong Yuan, Desheng Sun, Huabin Zhang, 2021, ArXiv.

Dosimetric study of the deformable image registration based lung cancer adaptive radiotherapy

Kehong Yuan, Lu Zhou, Linjing Wang, 2015, 2015 8th International Conference on Biomedical Engineering and Informatics (BMEI).

Soft-CP: A Credible and Effective Data Augmentation for Semantic Segmentation of Medical Lesions

Kehong Yuan, Jie Wu, Pingping Dai, 2022, ArXiv.

Accurate and rapid CT image segmentation of the eyes and surrounding organs for precise radiotherapy.

Kehong Yuan, Shuo Zhang, Huabei Shi, 2019, Medical physics.

Ultrasonic Diagnosis of Breast Nodules Using Modified Faster R-CNN

Kehong Yuan, Zihao Zhang, Xuesheng Zhang, 2019, Ultrasonic imaging.

Respiratory motion blur identification and reduction in ungated thoracic PET imaging

Kehong Yuan, Datian Ye, Quansheng Xu, 2011, Physics in medicine and biology.

Brain CT image database building for computer-aided diagnosis using content-based image retrieval

Kehong Yuan, Zhen Tian, Qingshan You, 2011, Inf. Process. Manag..

Improved FCOS for Detecting the Breast Cancers.

Kehong Yuan, Shuang Ge, Desheng Sun, 2022, Current medical imaging.

A 4D CT sorting algorithm based on image boundary discontinuity

Kehong Yuan, Zhen Tian, Chaijie Duan, 2010, 2010 International Conference of Medical Image Analysis and Clinical Application.

Facial Expression Recognition Research Based on Deep Learning pdf

Yongpei Zhu, Hongwei Fan, Kehong Yuan, 2019, ArXiv.

Explanation of CNN Mechanism Using Traditional Facial Affective Recognition

Kehong Yuan, Hongwei Fan, Yongpei Zhu, 2019 .

An improved Chan-Vese (CV) model for lumen segmentation of carotid artery

Gang Xu, Yang Lu, Kehong Yuan, 2012, 2012 International Conference on Computerized Healthcare (ICCH).

An Adaptive Window-Setting Scheme for Segmentation of Bladder Tumor Surface via MR Cystography

Zhengrong Liang, Kehong Yuan, Chaijie Duan, 2012, IEEE Transactions on Information Technology in Biomedicine.

Volume-Based Features for Detection of Bladder Wall Abnormal Regions via MR Cystography

Zhengrong Liang, Kehong Yuan, Chaijie Duan, 2011, IEEE Transactions on Biomedical Engineering.

Detecting Bladder Abnormalities Based on Inter-layer Intensity Curve for Virtual Cystoscopy

Zhengrong Liang, Kehong Yuan, Chaijie Duan, 2010, Virtual Colonoscopy and Abdominal Imaging.

Effects of Differential Geometry Parameters on Grid Generation and Segmentation of MRI Brain Image

Yongpei Zhu, Kehong Yuan, Guojun Liao, 2019, IEEE Access.

A New Framework to Reduce Doctor’s Workload for Medical Image Annotation

Yang Deng, Yongpei Zhu, Kehong Yuan, 2019, IEEE Access.

Sparse p-norm Nonnegative Matrix Factorization for clustering gene expression data

Kehong Yuan, Weixiang Liu, Kehong Yuan, 2008, Int. J. Data Min. Bioinform..

A novel unsupervised learning model for diffeomorphic image registration

Yongpei Zhu, Kehong Yuan, Zicong Zhou, 2021, Medical Imaging.

Knowledge AI: New Medical AI Solution for Medical image Diagnosis pdf

Yingni Wang, Shuge Lei, Jian Dai, 2021, ArXiv.