Qianjin Feng
Orcid: 0000-0001-8647-0596Affiliations:
- Southern Medical University, Guangzhou, China
According to our database1,
Qianjin Feng
authored at least 73 papers
between 2011 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
DCMIL: A Progressive Representation Learning of Whole Slide Images for Cancer Prognosis Analysis.
CoRR, October, 2025
Unified Model for Children's Brain Image Segmentation With Co-Registration Framework Guided by Longitudinal MRI.
IEEE J. Biomed. Health Informatics, July, 2025
Tensor Coupled Learning of Incomplete Longitudinal Features and Labels for Clinical Score Regression.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2025
Medical Image Anal., 2025
Domain-specific information preservation for Alzheimer's disease diagnosis with incomplete multi-modality neuroimages.
Medical Image Anal., 2025
Semantics and instance interactive learning for labeling and segmentation of vertebrae in CT images.
Medical Image Anal., 2025
TransFArchNet: Predicting dental arch curves based on facial point clouds in personalized panoramic X-ray imaging.
Expert Syst. Appl., 2025
Multi-scale camouflaged feature mining and fusion network for liver tumor segmentation.
Eng. Appl. Artif. Intell., 2025
DC-Net: Decomposing and coupling saliency map for lesion segmentation in ultrasound images.
Eng. Appl. Artif. Intell., 2025
2024
Modality-Specific Information Disentanglement From Multi-Parametric MRI for Breast Tumor Segmentation and Computer-Aided Diagnosis.
IEEE Trans. Medical Imaging, May, 2024
Beam-wise dose composition learning for head and neck cancer dose prediction in radiotherapy.
Medical Image Anal., February, 2024
Coarse-to-fine registration and time-intensity curves constraint for liver DCE-MRI synthesis.
Comput. Medical Imaging Graph., January, 2024
nBEST: Deep-learning-based non-human primates Brain Extraction and Segmentation Toolbox across ages, sites and species.
NeuroImage, 2024
PRSCS-Net: Progressive 3D/2D rigid Registration network with the guidance of Single-view Cycle Synthesis.
Medical Image Anal., 2024
Mix-supervised multiset learning for cancer prognosis analysis with high-censoring survival data.
Expert Syst. Appl., 2024
BreasTDLUSeg: A coarse-to-fine framework for segmentation of breast terminal duct lobular units on histopathological whole-slide images.
Comput. Medical Imaging Graph., 2024
2023
Multi-view imputation and cross-attention network based on incomplete longitudinal and multimodal data for conversion prediction of mild cognitive impairment.
Expert Syst. Appl., November, 2023
Cross-Task Feedback Fusion GAN for Joint MR-CT Synthesis and Segmentation of Target and Organs-at-Risk.
IEEE Trans. Artif. Intell., October, 2023
Unsupervised dual-domain disentangled network for removal of rigid motion artifacts in MRI.
Comput. Biol. Medicine, October, 2023
Deep multimodality-disentangled association analysis network for imaging genetics in neurodegenerative diseases.
Medical Image Anal., August, 2023
Multi-Constraint Latent Representation Learning for Prognosis Analysis Using Multi-Modal Data.
IEEE Trans. Neural Networks Learn. Syst., July, 2023
Mutual-Assistance Learning for Standalone Mono-Modality Survival Analysis of Human Cancers.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023
SpineRegNet: Spine Registration Network for volumetric MR and CT image by the joint estimation of an affine-elastic deformation field.
Medical Image Anal., May, 2023
United multi-task learning for abdominal contrast-enhanced CT synthesis through joint deformable registration.
Comput. Methods Programs Biomed., April, 2023
Bone suppression of lateral chest x-rays with imperfect and limited dual-energy subtraction images.
Comput. Medical Imaging Graph., April, 2023
Adaptive risk-aware sharable and individual subspace learning for cancer survival analysis with multi-modality data.
Briefings Bioinform., January, 2023
QACL: Quartet attention aware closed-loop learning for abdominal MR-to-CT synthesis via simultaneous registration.
Medical Image Anal., 2023
CoRR, 2023
Comput. Medical Imaging Graph., 2023
Consistent and Accurate Segmentation for Serial Infant Brain MR Images with Registration Assistance.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
MoSID: Modality-Specific Information Disentanglement from Multi-parametric MRI for Breast Tumor Segmentation.
Proceedings of the Cancer Prevention Through Early Detection, 2023
2022
Segmentation of the True Lumen of Aorta Dissection via Morphology-Constrained Stepwise Deep Mesh Regression.
IEEE Trans. Medical Imaging, 2022
SMU-Net: Saliency-Guided Morphology-Aware U-Net for Breast Lesion Segmentation in Ultrasound Image.
IEEE Trans. Medical Imaging, 2022
Relation-Aware Shared Representation Learning for Cancer Prognosis Analysis With Auxiliary Clinical Variables and Incomplete Multi-Modality Data.
IEEE Trans. Medical Imaging, 2022
Prior Knowledge-Aware Fusion Network for Prediction of Macrovascular Invasion in Hepatocellular Carcinoma.
IEEE Trans. Medical Imaging, 2022
DGMSNet: Spine segmentation for MR image by a detection-guided mixed-supervised segmentation network.
Medical Image Anal., 2022
Structure-constrained combination-based nonlinear association analysis between incomplete multimodal imaging and genetic data for biomarker detection of neurodegenerative diseases.
Medical Image Anal., 2022
2D-3D cascade network for glioma segmentation in multisequence MRI images using multiscale information.
Comput. Methods Programs Biomed., 2022
Deep Learning-Based Head and Neck Radiotherapy Planning Dose Prediction via Beam-Wise Dose Decomposition.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
SpineParseNet: Spine Parsing for Volumetric MR Image by a Two-Stage Segmentation Framework With Semantic Image Representation.
IEEE Trans. Medical Imaging, 2021
Relation-Induced Multi-Modal Shared Representation Learning for Alzheimer's Disease Diagnosis.
IEEE Trans. Medical Imaging, 2021
Imaging Genetics Study Based on a Temporal Group Sparse Regression and Additive Model for Biomarker Detection of Alzheimer's Disease.
IEEE Trans. Medical Imaging, 2021
IEEE J. Biomed. Health Informatics, 2021
IEEE J. Biomed. Health Informatics, 2021
Deep cross-view co-regularized representation learning for glioma subtype identification.
Medical Image Anal., 2021
Deep-gated recurrent unit and diet network-based genome-wide association analysis for detecting the biomarkers of Alzheimer's disease.
Medical Image Anal., 2021
View Identification Assisted Fully Convolutional Network for Lung Field Segmentation of Frontal and Lateral Chest Radiographs.
IEEE Access, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Flexible Prediction of CT Images From MRI Data Through Improved Neighborhood Anchored Regression for PET Attenuation Correction.
IEEE J. Biomed. Health Informatics, 2020
Multiple Axial Spine Indices Estimation via Dense Enhancing Network With Cross-Space Distance-Preserving Regularization.
IEEE J. Biomed. Health Informatics, 2020
(TS)<sup>2</sup>WM: Tumor Segmentation and Tract Statistics for Assessing White Matter Integrity with Applications to Glioblastoma Patients.
NeuroImage, 2020
CF2-Net: Coarse-to-Fine Fusion Convolutional Network for Breast Ultrasound Image Segmentation.
CoRR, 2020
Deep Longitudinal Feature Representations for Detection of Postradiotherapy Brain Injury at Presymptomatic Stage.
IEEE Access, 2020
2019
Correlation-Weighted Sparse Representation for Robust Liver DCE-MRI Decomposition Registration.
IEEE Trans. Medical Imaging, 2019
Hippocampus Segmentation Based on Iterative Local Linear Mapping With Representative and Local Structure-Preserved Feature Embedding.
IEEE Trans. Medical Imaging, 2019
Pattern Classification for Gastrointestinal Stromal Tumors by Integration of Radiomics and Deep Convolutional Features.
IEEE J. Biomed. Health Informatics, 2019
Direct automated quantitative measurement of spine by cascade amplifier regression network with manifold regularization.
Medical Image Anal., 2019
Automatic Nasopharyngeal Carcinoma Segmentation Using Fully Convolutional Networks with Auxiliary Paths on Dual-Modality PET-CT Images.
J. Digit. Imaging, 2019
Automatic delineation of ribs and clavicles in chest radiographs using fully convolutional DenseNets.
Comput. Methods Programs Biomed., 2019
Multiscale Context-Cascaded Ensemble Framework (MsC<sup>2</sup>EF): Application to Breast Histopathological Image.
IEEE Access, 2019
Bone Suppression of Chest Radiographs With Cascaded Convolutional Networks in Wavelet Domain.
IEEE Access, 2019
2018
Predicting CT Image From MRI Data Through Feature Matching With Learned Nonlinear Local Descriptors.
IEEE Trans. Medical Imaging, 2018
Lung Field Segmentation in Chest Radiographs From Boundary Maps by a Structured Edge Detector.
IEEE J. Biomed. Health Informatics, 2018
Direct Automated Quantitative Measurement of Spine via Cascade Amplifier Regression Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
Cascade of multi-scale convolutional neural networks for bone suppression of chest radiographs in gradient domain.
Medical Image Anal., 2017
Improving Functional MRI Registration Using Whole-Brain Functional Correlation Tensors.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2015
FVGWAS: Fast voxelwise genome wide association analysis of large-scale imaging genetic data.
NeuroImage, 2015
2014
Multimodal Brain-Tumor Segmentation Based on Dirichlet Process Mixture Model with Anisotropic Diffusion and Markov Random Field Prior.
Comput. Math. Methods Medicine, 2014
2012
Hierarchical Patch-Based Sparse Representation - A New Approach for Resolution Enhancement of 4D-CT Lung Data.
IEEE Trans. Medical Imaging, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Reconstruction of super-resolution lung 4D-CT using patch-based sparse representation.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011