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ORCIDQianjin Feng 0003
Person information
- affiliation: Southern Medical University, Guangzhou, China
Other persons with the same name
- Qianjin Feng — disambiguation page
- Qianjin Feng 0001
![[0000-0003-0770-9189]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-0770-9189")
— Southern Medical University, Guangzhou, China - Qianjin Feng 0002 — Southern Medical University, Guangzhou, China
- Qianjin Feng 0004 — Southern Medical University, Guangzhou, China
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2020 – today
- 2025
[j61]Zhenyuan Ning, Yixiao Mao, Xiaotong Xu, Qianjin Feng, Shengzhou Zhong, Yu Zhang:
DC-Net: Decomposing and coupling saliency map for lesion segmentation in ultrasound images. Eng. Appl. Artif. Intell. 148: 110355 (2025)- [j60]Lei Yang, Jiawei Zhang, Tao Wang, Qianjin Feng, Sirui Fu, Meiyan Huang:
Multi-scale camouflaged feature mining and fusion network for liver tumor segmentation. Eng. Appl. Artif. Intell. 148: 110398 (2025) - [j59]Guoye Lin, Shuo Yang, Yangfan Chen, Qing Xu, Pew-Thian Yap, Zhaoqiang Yun, Qianjin Feng:
TransFArchNet: Predicting dental arch curves based on facial point clouds in personalized panoramic X-ray imaging. Expert Syst. Appl. 270: 126577 (2025) - [j58]Shengzhou Zhong, Wenxu Wang, Qianjin Feng, Yu Zhang, Zhenyuan Ning:
Cross-view discrepancy-dependency network for volumetric medical image segmentation. Medical Image Anal. 99: 103329 (2025) - [j57]Yixiao Mao, Qianjin Feng, Yu Zhang, Zhenyuan Ning:
Semantics and instance interactive learning for labeling and segmentation of vertebrae in CT images. Medical Image Anal. 99: 103380 (2025) - [j56]Haozhe Xu, Jian Wang, Qianjin Feng, Yu Zhang, Zhenyuan Ning:
Domain-specific information preservation for Alzheimer's disease diagnosis with incomplete multi-modality neuroimages. Medical Image Anal. 101: 103448 (2025) - [j55]Qing Xiao, Guiying Liu, Qianjin Feng, Yu Zhang, Zhenyuan Ning:
Tensor Coupled Learning of Incomplete Longitudinal Features and Labels for Clinical Score Regression. IEEE Trans. Pattern Anal. Mach. Intell. 47(1): 369-386 (2025) - [j54]Lin Teng, Yichu He, Zehong Cao, Rui Hua, Ye Han, Qianjin Feng, Feng Shi, Dinggang Shen:
Unified Model for Children's Brain Image Segmentation With Co-Registration Framework Guided by Longitudinal MRI. IEEE J. Biomed. Health Informatics 29(7): 4623-4632 (2025) - [i5]Chao Tu, Kun Huang, Jie Zhang, Qianjin Feng, Yu Zhang, Zhenyuan Ning:
DCMIL: A Progressive Representation Learning of Whole Slide Images for Cancer Prognosis Analysis. CoRR abs/2510.14403 (2025) - 2024
- [j53]Yuhang Sun, Yuning Gu, Feng Shi, Jiameng Liu, Guoqiang Li, Qianjin Feng, Dinggang Shen:
Coarse-to-fine registration and time-intensity curves constraint for liver DCE-MRI synthesis. Comput. Medical Imaging Graph. 111: 102319 (2024) - [j52]Zixiao Lu, Kai Tang, Yi Wu, Xiaoxuan Zhang, Ziqi An, Xiongfeng Zhu, Qianjin Feng, Yinghua Zhao:
BreasTDLUSeg: A coarse-to-fine framework for segmentation of breast terminal duct lobular units on histopathological whole-slide images. Comput. Medical Imaging Graph. 118: 102432 (2024) - [j51]Denghui Du, Qianjin Feng, Wufan Chen, Zhenyuan Ning, Yu Zhang:
Mix-supervised multiset learning for cancer prognosis analysis with high-censoring survival data. Expert Syst. Appl. 239: 122430 (2024) - [j50]Lin Teng, Bin Wang, Xuanang Xu, Jiadong Zhang, Lanzhuju Mei, Qianjin Feng, Dinggang Shen:
Beam-wise dose composition learning for head and neck cancer dose prediction in radiotherapy. Medical Image Anal. 92: 103045 (2024) - [j49]Wencong Zhang, Lei Zhao, Hang Gou, Yanggang Gong, Yujia Zhou, Qianjin Feng:
PRSCS-Net: Progressive 3D/2D rigid Registration network with the guidance of Single-view Cycle Synthesis. Medical Image Anal. 97: 103283 (2024) - [j48]Tao Zhong, Xueyang Wu, Shujun Liang, Zhenyuan Ning, Li Wang, Yuyu Niu, Shihua Yang, Zhuang Kang, Qianjin Feng, Gang Li, Yu Zhang:
nBEST: Deep-learning-based non-human primates Brain Extraction and Segmentation Toolbox across ages, sites and species. NeuroImage 295: 120652 (2024) - [j47]Qianqian Chen, Jiadong Zhang, Runqi Meng, Lei Zhou, Zhenhui Li, Qianjin Feng, Dinggang Shen:
Modality-Specific Information Disentanglement From Multi-Parametric MRI for Breast Tumor Segmentation and Computer-Aided Diagnosis. IEEE Trans. Medical Imaging 43(5): 1958-1971 (2024) - 2023
- [j46]Zhangxin Zhao, Qianjin Feng, Yu Zhang, Zhenyuan Ning:
Adaptive risk-aware sharable and individual subspace learning for cancer survival analysis with multi-modality data. Briefings Bioinform. 24(1) (2023) - [j45]Boya Wu, Caixia Li, Jiawei Zhang, Haoran Lai, Qianjin Feng, Meiyan Huang:
Unsupervised dual-domain disentangled network for removal of rigid motion artifacts in MRI. Comput. Biol. Medicine 165: 107373 (2023) - [j44]Yunbi Liu, Fengxia Zeng, Mengwei Ma, Bowen Zheng, Zhaoqiang Yun, Genggeng Qin, Wei Yang, Qianjin Feng:
Bone suppression of lateral chest x-rays with imperfect and limited dual-energy subtraction images. Comput. Medical Imaging Graph. 105: 102186 (2023) - [j43]Meiyan Huang, Shuoling Zhou, Xiumei Chen, Haoran Lai, Qianjin Feng:
Semi-supervised hybrid spine network for segmentation of spine MR images. Comput. Medical Imaging Graph. 107: 102245 (2023) - [j42]Liming Zhong, Pinyu Huang, Hai Shu, Yin Li, Yiwen Zhang, Qianjin Feng, Yuankui Wu, Wei Yang:
United multi-task learning for abdominal contrast-enhanced CT synthesis through joint deformable registration. Comput. Methods Programs Biomed. 231: 107391 (2023) - [j41]Tao Wang, Xiumei Chen, Xiaoling Zhang, Shuoling Zhou, Qianjin Feng, Meiyan Huang:
Multi-view imputation and cross-attention network based on incomplete longitudinal and multimodal data for conversion prediction of mild cognitive impairment. Expert Syst. Appl. 231: 120761 (2023) - [j40]Liming Zhong, Zeli Chen, Hai Shu, Yikai Zheng, Yiwen Zhang, Yuankui Wu, Qianjin Feng, Yin Li, Wei Yang:
QACL: Quartet attention aware closed-loop learning for abdominal MR-to-CT synthesis via simultaneous registration. Medical Image Anal. 83: 102692 (2023) - [j39]Lei Zhao, Shumao Pang, Yangfan Chen, Xiongfeng Zhu, Ziyue Jiang, Zhihai Su, Hai Lu, Yujia Zhou, Qianjin Feng:
SpineRegNet: Spine Registration Network for volumetric MR and CT image by the joint estimation of an affine-elastic deformation field. Medical Image Anal. 86: 102786 (2023) - [j38]Tao Wang, Xiumei Chen, Jiawei Zhang, Qianjin Feng, Meiyan Huang:
Deep multimodality-disentangled association analysis network for imaging genetics in neurodegenerative diseases. Medical Image Anal. 88: 102842 (2023) - [j37]Zhenyuan Ning, Zhangxin Zhao, Qianjin Feng, Wufan Chen, Qing Xiao, Yu Zhang:
Mutual-Assistance Learning for Standalone Mono-Modality Survival Analysis of Human Cancers. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7577-7594 (2023) - [j36]Yiwen Zhang, Liming Zhong, Hai Shu, Zhenhui Dai, Kaiyi Zheng, Zefeiyun Chen, Qianjin Feng, Xuetao Wang, Wei Yang:
Cross-Task Feedback Fusion GAN for Joint MR-CT Synthesis and Segmentation of Target and Organs-at-Risk. IEEE Trans. Artif. Intell. 4(5): 1246-1257 (2023) - [j35]Zhenyuan Ning, Zehui Lin, Qing Xiao, Denghui Du, Qianjin Feng, Wufan Chen, Yu Zhang:
Multi-Constraint Latent Representation Learning for Prognosis Analysis Using Multi-Modal Data. IEEE Trans. Neural Networks Learn. Syst. 34(7): 3737-3750 (2023) - [c9]Jiadong Zhang, Qianqian Chen, Luping Zhou, Zhiming Cui, Fei Gao, Zhenhui Li, Qianjin Feng, Dinggang Shen:
MoSID: Modality-Specific Information Disentanglement from Multi-parametric MRI for Breast Tumor Segmentation. CaPTion@MICCAI 2023: 94-104 - [c8]Yuhang Sun, Jiameng Liu, Feihong Liu, Kaicong Sun, Han Zhang, Feng Shi, Qianjin Feng, Dinggang Shen:
Consistent and Accurate Segmentation for Serial Infant Brain MR Images with Registration Assistance. MLMI@MICCAI (1) 2023: 186-195 - [i4]Zhenyuan Ning, Yixiao Mao, Qianjin Feng, Shengzhou Zhong, Yu Zhang:
Decomposing and Coupling Saliency Map for Lesion Segmentation in Ultrasound Images. CoRR abs/2308.00947 (2023) - 2022
- [j34]Jianyun Cao, Haoran Lai, Jiawei Zhang, Junde Zhang, Tao Xie, Heqing Wang, Junguo Bu, Qianjin Feng, Meiyan Huang:
2D-3D cascade network for glioma segmentation in multisequence MRI images using multiscale information. Comput. Methods Programs Biomed. 221: 106894 (2022) - [j33]Shumao Pang, Chunlan Pang, Zhihai Su, Liyan Lin, Lei Zhao, Yangfan Chen, Yujia Zhou, Hai Lu, Qianjin Feng:
DGMSNet: Spine segmentation for MR image by a detection-guided mixed-supervised segmentation network. Medical Image Anal. 75: 102261 (2022) - [j32]Xiumei Chen, Tao Wang, Haoran Lai, Xiaoling Zhang, Qianjin Feng, Meiyan Huang:
Structure-constrained combination-based nonlinear association analysis between incomplete multimodal imaging and genetic data for biomarker detection of neurodegenerative diseases. Medical Image Anal. 78: 102419 (2022) - [j31]Zhenyuan Ning, Denghui Du, Chao Tu, Qianjin Feng, Yu Zhang:
Relation-Aware Shared Representation Learning for Cancer Prognosis Analysis With Auxiliary Clinical Variables and Incomplete Multi-Modality Data. IEEE Trans. Medical Imaging 41(1): 186-198 (2022) - [j30]Zhenyuan Ning, Shengzhou Zhong, Qianjin Feng, Wufan Chen, Yu Zhang:
SMU-Net: Saliency-Guided Morphology-Aware U-Net for Breast Lesion Segmentation in Ultrasound Image. IEEE Trans. Medical Imaging 41(2): 476-490 (2022) - [j29]Jingliang Zhao, Jie Zhao, Shumao Pang, Qianjin Feng:
Segmentation of the True Lumen of Aorta Dissection via Morphology-Constrained Stepwise Deep Mesh Regression. IEEE Trans. Medical Imaging 41(7): 1826-1836 (2022) - [j28]Haoran Lai, Sirui Fu, Jie Zhang, Jianyun Cao, Qianjin Feng, Ligong Lu, Meiyan Huang:
Prior Knowledge-Aware Fusion Network for Prediction of Macrovascular Invasion in Hepatocellular Carcinoma. IEEE Trans. Medical Imaging 41(10): 2644-2657 (2022) - [c7]Bin Wang, Lin Teng, Lanzhuju Mei, Zhiming Cui, Xuanang Xu, Qianjin Feng, Dinggang Shen:
Deep Learning-Based Head and Neck Radiotherapy Planning Dose Prediction via Beam-Wise Dose Decomposition. MICCAI (8) 2022: 575-584 - [i3]Meiyan Huang, Shuoling Zhou, Xiumei Chen, Haoran Lai, Qianjin Feng:
Semi-Supervised Hybrid Spine Network for Segmentation of Spine MR Images. CoRR abs/2203.12151 (2022) - 2021
- [j27]Yuhua Xi, Liming Zhong, Weijie Xie, Genggeng Qin, Yunbi Liu, Qianjin Feng, Wei Yang:
View Identification Assisted Fully Convolutional Network for Lung Field Segmentation of Frontal and Lateral Chest Radiographs. IEEE Access 9: 59835-59847 (2021) - [j26]Zhenyuan Ning, Chao Tu, Xiaohui Di, Qianjin Feng, Yu Zhang:
Deep cross-view co-regularized representation learning for glioma subtype identification. Medical Image Anal. 73: 102160 (2021) - [j25]Meiyan Huang, Haoran Lai, Yuwei Yu, Xiumei Chen, Tao Wang, Qianjin Feng:
Deep-gated recurrent unit and diet network-based genome-wide association analysis for detecting the biomarkers of Alzheimer's disease. Medical Image Anal. 73: 102189 (2021) - [j24]Liyan Lin, Xi Tao, Wei Yang, Shumao Pang, Zhihai Su, Hai Lu, Shuo Li, Qianjin Feng, Bo Chen:
Quantifying Axial Spine Images Using Object-Specific Bi-Path Network. IEEE J. Biomed. Health Informatics 25(8): 2978-2987 (2021) - [j23]Jingliang Zhao, Qianjin Feng:
Automatic Aortic Dissection Centerline Extraction Via Morphology-Guided CRN Tracker. IEEE J. Biomed. Health Informatics 25(9): 3473-3485 (2021) - [j22]Shumao Pang, Chunlan Pang, Lei Zhao, Yangfan Chen, Zhihai Su, Yujia Zhou, Meiyan Huang, Wei Yang, Hai Lu, Qianjin Feng:
SpineParseNet: Spine Parsing for Volumetric MR Image by a Two-Stage Segmentation Framework With Semantic Image Representation. IEEE Trans. Medical Imaging 40(1): 262-273 (2021) - [j21]Meiyan Huang, Xiumei Chen, Yuwei Yu, Haoran Lai, Qianjin Feng:
Imaging Genetics Study Based on a Temporal Group Sparse Regression and Additive Model for Biomarker Detection of Alzheimer's Disease. IEEE Trans. Medical Imaging 40(5): 1461-1473 (2021) - [j20]Zhenyuan Ning, Qing Xiao, Qianjin Feng, Wufan Chen, Yu Zhang:
Relation-Induced Multi-Modal Shared Representation Learning for Alzheimer's Disease Diagnosis. IEEE Trans. Medical Imaging 40(6): 1632-1645 (2021) - [c6]Yuhang Sun, Dongming Wei, Zhiming Cui, Yujia Zhou, Caiwen Jiang, Jiameng Liu, Qianjin Feng, Dinggang Shen:
Motion Correction for Liver DCE-MRI with Time-Intensity Curve Constraint. MICCAI (7) 2021: 733-742 - 2020
- [j19]Liming Zhong, Xiao Zhang, Yuhua Xi, Zhouyang Lian, Qianjin Feng, Wufan Chen, Shuixing Zhang, Wei Yang:
Deep Longitudinal Feature Representations for Detection of Postradiotherapy Brain Injury at Presymptomatic Stage. IEEE Access 8: 184710-184721 (2020) - [j18]Liming Zhong, Tengfei Li, Hai Shu, Chao Huang, Jason M. Johnson, Donald F. Schomer, Ho-Ling Liu, Qianjin Feng, Wei Yang, Hongtu Zhu:
(TS)2WM: Tumor Segmentation and Tract Statistics for Assessing White Matter Integrity with Applications to Glioblastoma Patients. NeuroImage 223: 117368 (2020) - [j17]Liming Zhong, Yanlin Chen, Xiao Zhang, Shupeng Liu, Yuankui Wu, Yunbi Liu, Liyan Lin, Qianjin Feng, Wufan Chen, Wei Yang:
Flexible Prediction of CT Images From MRI Data Through Improved Neighborhood Anchored Regression for PET Attenuation Correction. IEEE J. Biomed. Health Informatics 24(4): 1114-1124 (2020) - [j16]Liyan Lin, Xi Tao, Shumao Pang, Zhihai Su, Hai Lu, Shuo Li, Qianjin Feng, Bo Chen:
Multiple Axial Spine Indices Estimation via Dense Enhancing Network With Cross-Space Distance-Preserving Regularization. IEEE J. Biomed. Health Informatics 24(11): 3248-3257 (2020) - [i2]Zhenyuan Ning, Ke Wang, Shengzhou Zhong, Qianjin Feng, Yu Zhang:
CF2-Net: Coarse-to-Fine Fusion Convolutional Network for Breast Ultrasound Image Segmentation. CoRR abs/2003.10144 (2020)
2010 – 2019
- 2019
- [j15]Yingyin Chen, Xiaofang Gou, Xiuxia Feng, Yunbi Liu, Genggeng Qin, Qianjin Feng, Wei Yang, Wufan Chen:
Bone Suppression of Chest Radiographs With Cascaded Convolutional Networks in Wavelet Domain. IEEE Access 7: 8346-8357 (2019) - [j14]Zhenyuan Ning, Xinsen Zhang, Chao Tu, Qianjin Feng, Yu Zhang:
Multiscale Context-Cascaded Ensemble Framework (MsC2EF): Application to Breast Histopathological Image. IEEE Access 7: 150910-150923 (2019) - [j13]Yunbi Liu, Xiao Zhang, Guangwei Cai, Yingyin Chen, Zhaoqiang Yun, Qianjin Feng, Wei Yang:
Automatic delineation of ribs and clavicles in chest radiographs using fully convolutional DenseNets. Comput. Methods Programs Biomed. 180 (2019) - [j12]Lijun Zhao, Zixiao Lu, Jun Jiang, Yujia Zhou, Yi Wu, Qianjin Feng:
Automatic Nasopharyngeal Carcinoma Segmentation Using Fully Convolutional Networks with Auxiliary Paths on Dual-Modality PET-CT Images. J. Digit. Imaging 32(3): 462-470 (2019) - [j11]Shumao Pang, Zhihai Su, Stephanie Leung, Ilanit Ben Nachum, Bo Chen, Qianjin Feng, Shuo Li:
Direct automated quantitative measurement of spine by cascade amplifier regression network with manifold regularization. Medical Image Anal. 55: 103-115 (2019) - [j10]Zhenyuan Ning, Jiaxiu Luo, Yong Li, Shuai Han, Qianjin Feng, Yikai Xu, Wufan Chen, Tao Chen, Yu Zhang:
Pattern Classification for Gastrointestinal Stromal Tumors by Integration of Radiomics and Deep Convolutional Features. IEEE J. Biomed. Health Informatics 23(3): 1181-1191 (2019) - [j9]Shumao Pang, Zhentai Lu, Jun Jiang, Lei Zhao, Liyan Lin, Xueli Li, Tao Lian, Meiyan Huang, Wei Yang, Qianjin Feng:
Hippocampus Segmentation Based on Iterative Local Linear Mapping With Representative and Local Structure-Preserved Feature Embedding. IEEE Trans. Medical Imaging 38(10): 2271-2280 (2019) - [j8]Yujia Zhou, Yuhang Sun, Wei Yang, Zhentai Lu, Meiyan Huang, Lijun Lu, Yu Zhang, Yanqiu Feng, Wufan Chen, Qianjin Feng:
Correlation-Weighted Sparse Representation for Robust Liver DCE-MRI Decomposition Registration. IEEE Trans. Medical Imaging 38(10): 2352-2363 (2019) - 2018
- [j7]Wei Yang, Yunbi Liu, Liyan Lin, Zhaoqiang Yun, Zhentai Lu, Qianjin Feng, Wufan Chen:
Lung Field Segmentation in Chest Radiographs From Boundary Maps by a Structured Edge Detector. IEEE J. Biomed. Health Informatics 22(3): 842-851 (2018) - [j6]Wei Yang, Liming Zhong, Yang Chen, Liyan Lin, Zhentai Lu, Shupeng Liu, Yao Wu, Qianjin Feng, Wufan Chen:
Predicting CT Image From MRI Data Through Feature Matching With Learned Nonlinear Local Descriptors. IEEE Trans. Medical Imaging 37(4): 977-987 (2018) - [c5]Shumao Pang, Stephanie Leung, Ilanit Ben Nachum, Qianjin Feng, Shuo Li:
Direct Automated Quantitative Measurement of Spine via Cascade Amplifier Regression Network. MICCAI (2) 2018: 940-948 - [i1]Shumao Pang, Stephanie Leung, Ilanit Ben Nachum, Qianjin Feng, Shuo Li:
Direct Automated Quantitative Measurement of Spine via Cascade Amplifier Regression Network. CoRR abs/1806.05570 (2018) - 2017
- [j5]Wei Yang, Yingyin Chen, Yunbi Liu, Liming Zhong, Genggeng Qin, Zhentai Lu, Qianjin Feng, Wufan Chen:
Cascade of multi-scale convolutional neural networks for bone suppression of chest radiographs in gradient domain. Medical Image Anal. 35: 421-433 (2017) - [c4]Yujia Zhou, Pew-Thian Yap, Han Zhang, Lichi Zhang, Qianjin Feng, Dinggang Shen:
Improving Functional MRI Registration Using Whole-Brain Functional Correlation Tensors. MICCAI (1) 2017: 416-423 - 2015
- [j4]Meiyan Huang, Thomas E. Nichols, Chao Huang, Yang Yu, Zhaohua Lu, Rebecca C. Knickmeyer, Qianjin Feng, Hongtu Zhu:
FVGWAS: Fast voxelwise genome wide association analysis of large-scale imaging genetic data. NeuroImage 118: 613-627 (2015) - 2014
- [j3]Yisu Lu, Jun Jiang, Wei Yang, Qianjin Feng, Wufan Chen:
Multimodal Brain-Tumor Segmentation Based on Dirichlet Process Mixture Model with Anisotropic Diffusion and Markov Random Field Prior. Comput. Math. Methods Medicine 2014: 717206:1-717206:10 (2014) - [j2]Yazhong Lin, Qian Zheng, Jiaqiang Chen, Qian Cai, Qianjin Feng:
A Novel Adaptive Level Set Segmentation Method. Comput. Math. Methods Medicine 2014: 914028:1-914028:8 (2014) - 2012
- [j1]Yu Zhang, Guorong Wu, Pew-Thian Yap, Qianjin Feng, Jun Lian, Wufan Chen, Dinggang Shen:
Hierarchical Patch-Based Sparse Representation - A New Approach for Resolution Enhancement of 4D-CT Lung Data. IEEE Trans. Medical Imaging 31(11): 1993-2005 (2012) - [c3]Yu Zhang, Guorong Wu, Pew-Thian Yap, Qianjin Feng, Jun Lian, Wufan Chen, Dinggang Shen:
Reconstruction of super-resolution lung 4D-CT using patch-based sparse representation. CVPR 2012: 925-931 - [c2]Yu Zhang, Guorong Wu, Pew-Thian Yap, Qianjin Feng, Jun Lian, Wufan Chen, Dinggang Shen:
Non-local Means Resolution Enhancement of Lung 4D-CT Data. MICCAI (1) 2012: 214-222 - 2011
- [c1]Wei Li, Shu Liao, Qianjin Feng, Wufan Chen, Dinggang Shen:
Learning Image Context for Segmentation of Prostate in CT-Guided Radiotherapy. MICCAI (3) 2011: 570-578
Coauthor Index
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