Wenjian Qin
Orcid: 0000-0003-2547-0394
According to our database1,
Wenjian Qin
authored at least 51 papers
between 2012 and 2024.
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Bibliography
2024
IEEE J. Biomed. Health Informatics, January, 2024
Saliency-guided stairs detection on wearable RGB-D devices for visually impaired persons with Swin-Transformer.
Pattern Recognit. Lett., January, 2024
Dual domain distribution disruption with semantics preservation: Unsupervised domain adaptation for medical image segmentation.
Medical Image Anal., 2024
Self-supervised multi-magnification feature enhancement for segmentation of hepatocellular carcinoma region in pathological images.
Eng. Appl. Artif. Intell., 2024
AGWNet: Attention-guided adaptive shuffle channel gate warped feature network for indoor scene RGB-D semantic segmentation.
Displays, 2024
Multi-scale feature fusion for prediction of IDH1 mutations in glioma histopathological images.
Comput. Methods Programs Biomed., 2024
Global contextual representation via graph-transformer fusion for hepatocellular carcinoma prognosis in whole-slide images.
Comput. Medical Imaging Graph., 2024
Array, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Context-Aware Representation Learning for Hepatocellular Carcinoma Prognosis in Whole Slide Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
BS-Diff: Effective Bone Suppression Using Conditional Diffusion Models From Chest X-Ray Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Improving Single-Source Domain Generalization via Anatomy-Guided Texture Augmentation for Cervical Tumor Segmentation.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2024
Evaluating the Segmentation Performance of Gross Volume Tumor in Cervical Cancer Using MRI Images.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2024
2023
ARR-GCN: Anatomy-Relation Reasoning Graph Convolutional Network for Automatic Fine-Grained Segmentation of Organ's Surgical Anatomy.
IEEE J. Biomed. Health Informatics, July, 2023
Constructing metabolism-protein interaction relationship to identify glioma prognosis using deep learning.
Comput. Biol. Medicine, May, 2023
Deep Multi-Magnification Similarity Learning for Histopathological Image Classification.
IEEE J. Biomed. Health Informatics, March, 2023
Graph-based methods for cervical cancer segmentation: Advancements, limitations, and future directions.
AI Open, January, 2023
Style Enhanced Domain Adaptation Neural Network for Cross-Modality Cervical Tumor Segmentation.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2023
Shape-Aware Diffusion Model for Tumor Segmentation on Gd-EOB-DTPA MRI Images of Hepatocellular Carcinoma.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2023
Clinical Evaluation of AI-Assisted Virtual Contrast Enhanced MRI in Primary Gross Tumor Volume Delineation for Radiotherapy of Nasopharyngeal Carcinoma.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Situational Awareness of Chirp Jamming Threats to GNSS Based on Supervised Machine Learning.
IEEE Trans. Aerosp. Electron. Syst., 2022
Class center attention network with spatial adaption for enhancing hepatic segments classification with low-visibility vascular.
Displays, 2022
A Hybrid Deep Feature-Based Deformable Image Registration Method for Pathological Images.
CoRR, 2022
Tubular Structure-Aware Convolutional Neural Networks for Organ at Risks Segmentation in Cervical Cancer Radiotherapy.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2022
Automatic Computer-Aided Histopathologic Segmentation for Nasopharyngeal Carcinoma Using Transformer Framework.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2022
MRI-guided Automated Delineation of Gross Tumor Volume for Nasopharyngeal Carcinoma using Deep Learning.
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022
2021
Multi-Material Decomposition for Single Energy CT Using Material Sparsity Constraint.
IEEE Trans. Medical Imaging, 2021
Fully-automated functional region annotation of liver via a 2.5D class-aware deep neural network with spatial adaptation.
Comput. Methods Programs Biomed., 2021
Towards real time guide wire shape extraction in fluoroscopic sequences: A two phase deep learning scheme to extract sparse curvilinear structures.
Comput. Medical Imaging Graph., 2021
Assessment of breast arteries and lymph nodes by 3D MR angiography enhancement imaging: feasibility and pilot clinical results.
BMC Medical Imaging, 2021
2020
Densely Connected Neural Network With Unbalanced Discriminant and Category Sensitive Constraints for Polyp Recognition.
IEEE Trans Autom. Sci. Eng., 2020
An Assessment of Impact of Adaptive Notch Filters for Interference Removal on the Signal Processing Stages of a GNSS Receiver.
IEEE Trans. Aerosp. Electron. Syst., 2020
Self-Paced Learning for Automatic Prostate Segmentation on MR Images with Hierarchical Boundary Sensitive Network.
Proceedings of the 2020 IEEE International Conference on Real-time Computing and Robotics, 2020
Opportunistic use of GNSS Signals to Characterize the Environment by Means of Machine Learning Based Processing.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Robust Beam Hardening Artifacts Reduction for Computed Tomography Using Spectrum Modeling.
IEEE Trans. Computational Imaging, 2019
Prostate Segmentation with Encoder-Decoder Densely Connected Convolutional Network (Ed-Densenet).
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
Automated breast tumor detection and segmentation with a novel computational framework of whole ultrasound images.
Medical Biol. Eng. Comput., 2018
An Approach for Noninvasive Blood Glucose Monitoring Based on Bioimpedance Difference Considering Blood Volume Pulsation.
IEEE Access, 2018
RIIS-DenseNet: Rotation-Invariant and Image Similarity Constrained Densely Connected Convolutional Network for Polyp Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
An Approach to Biometric Verification Based on Human Body Communication in Wearable Devices.
Sensors, 2017
Liver Lesion Detection Based on Two-Stage Saliency Model with Modified Sparse Autoencoder.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
2014
Multiscale Geometric Active Contour Model and Boundary Extraction in Kidney MR Images.
Proceedings of the Health Information Science - Third International Conference, 2014
2013
An accurate and effective FMM-based approach for freehand 3D ultrasound reconstruction.
Biomed. Signal Process. Control., 2013
2012
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012