Zhiwei Wang
Orcid: 0000-0002-1612-8573Affiliations:
- Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics, Britton Chance Center for Biomedical Photonics, Wuhan, China
- Huazhong University of Science and Technology, School of Engineering Sciences, Collaborative Innovation Center for Biomedical Engineering, MoE Key Laboratory for Biomedical Photonics, Wuhan, China
- Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Hong Kong (2019 - 2020)
- Huazhong University of Science and Technology, School of Electronic Information and Communications, Wuhan, China (PhD 2019)
According to our database1,
Zhiwei Wang
authored at least 40 papers
between 2017 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Fine-Grained Temporal Site Monitoring in EGD Streams via Visual Time-Aware Embedding and Vision-Text Asymmetric Coworking.
IEEE J. Biomed. Health Informatics, February, 2025
2024
Robust Semi-Supervised 3D Medical Image Segmentation With Diverse Joint-Task Learning and Decoupled Inter-Student Learning.
IEEE Trans. Medical Imaging, June, 2024
Multi-Feature Decision Fusion Network for Heart Sound Abnormality Detection and Classification.
IEEE J. Biomed. Health Informatics, March, 2024
Co-learning-assisted progressive dense fusion network for cardiovascular disease detection using ECG and PCG signals.
Expert Syst. Appl., March, 2024
Joint denoising and interpolating network for low-dose cone-beam CT reconstruction under hybrid dose-reduction strategy.
Comput. Biol. Medicine, January, 2024
StyleSeg V2: Towards Robust One-shot Segmentation of Brain Tissue via Optimization-free Registration Error Perception.
CoRR, 2024
MonoPCC: Photometric-invariant Cycle Constraint for Monocular Depth Estimation of Endoscopic Images.
CoRR, 2024
MonoBox: Tightness-free Box-supervised Polyp Segmentation using Monotonicity Constraint.
CoRR, 2024
Noise Removed Inconsistency Activation Map for Unsupervised Registration of Brain Tumor MRI Between Pre-operative and Follow-Up Phases.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
SALI: Short-Term Alignment and Long-Term Interaction Network for Colonoscopy Video Polyp Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Improved Self-supervised Monocular Endoscopic Depth Estimation based on Pose Alignment-friendly Dynamic View Selection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
Bidirectional Semi-Supervised Dual-Branch CNN for Robust 3D Reconstruction of Stereo Endoscopic Images via Adaptive Cross and Parallel Supervisions.
IEEE Trans. Medical Imaging, November, 2023
PSDP: Pseudo-supervised dual-processing for low-dose cone-beam computed tomography reconstruction.
Expert Syst. Appl., August, 2023
Accurate Cobb Angle Estimation on Scoliosis X-Ray Images via Deeply-Coupled Two-Stage Network With Differentiable Cropping and Random Perturbation.
IEEE J. Biomed. Health Informatics, March, 2023
IBoxCLA: Towards Robust Box-supervised Segmentation of Polyp via Improved Box-dice and Contrastive Latent-anchors.
CoRR, 2023
Dual-view Correlation Hybrid Attention Network for Robust Holistic Mammogram Classification.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Towards Learning-based Surgical Planning of Glioma Resection via a Contrastively Constrained Siamese Neural Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Rethinking Low-Dose CT Synthesis: Degrading Normal-Dose CT from Origin for Pairwise Training of CT Denoiser.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Robust One-Shot Segmentation of Brain Tissues via Image-Aligned Style Transformation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Joint Progressive and Coarse-to-Fine Registration of Brain MRI via Deformation Field Integration and Non-Rigid Feature Fusion.
IEEE Trans. Medical Imaging, 2022
Dual-domain attention-guided convolutional neural network for low-dose cone-beam computed tomography reconstruction.
Knowl. Based Syst., 2022
Sparse-view cone beam CT reconstruction using dual CNNs in projection domain and image domain.
Neurocomputing, 2022
Accurate Scoliosis Vertebral Landmark Localization on X-ray Images via Shape-constrained Multi-stage Cascaded CNNs.
CoRR, 2022
Improving the Quality of Sparse-view Cone-Beam Computed Tomography via Reconstruction-Friendly Interpolation Network.
Proceedings of the Computer Vision - ACCV 2022, 2022
2021
Variation-Aware Federated Learning With Multi-Source Decentralized Medical Image Data.
IEEE J. Biomed. Health Informatics, 2021
Semi-supervised Learning via Improved Teacher-Student Network for Robust 3D Reconstruction of Stereo Endoscopic Image.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Towards Robust Dual-View Transformation via Densifying Sparse Supervision for Mammography Lesion Matching.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Progressive and Coarse-to-Fine Network for Medical Image Registration Across Phases, Modalities and Patients.
Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021
2020
Multi-Task Siamese Network for Retinal Artery/Vein Separation via Deep Convolution Along Vessel.
IEEE Trans. Medical Imaging, 2020
Bi-Modality Medical Image Synthesis Using Semi-Supervised Sequential Generative Adversarial Networks.
IEEE J. Biomed. Health Informatics, 2020
Semi-supervised mp-MRI data synthesis with StitchLayer and auxiliary distance maximization.
Medical Image Anal., 2020
Multi-phase and Multi-level Selective Feature Fusion for Automated Pancreas Segmentation from CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2018
Automated Detection of Clinically Significant Prostate Cancer in mp-MRI Images Based on an End-to-End Deep Neural Network.
IEEE Trans. Medical Imaging, 2018
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018
StitchAD-GAN for Synthesizing Apparent Diffusion Coefficient Images of Clinically Significant Prostate Cancer.
Proceedings of the British Machine Vision Conference 2018, 2018
2017
Co-trained convolutional neural networks for automated detection of prostate cancer in multi-parametric MRI.
Medical Image Anal., 2017
Proceedings of the MultiMedia Modeling - 23rd International Conference, 2017
Proceedings of the MultiMedia Modeling - 23rd International Conference, 2017
DeepCADx: Automated Prostate Cancer Detection and Diagnosis in mp-MRI based on Multimodal Convolutional Neural Networks.
Proceedings of the 2017 ACM on Multimedia Conference, 2017
Joint Detection and Diagnosis of Prostate Cancer in Multi-parametric MRI Based on Multimodal Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017