Zhiwei Wang

Orcid: 0000-0002-1612-8573

Affiliations:
  • 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 68 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Improving 3D Thin Vessel Segmentation in Brain TOF-MRA via a Dual-Space Context-Aware Network.
IEEE J. Biomed. Health Informatics, March, 2026

StyleSeg V2: Towards robust single-label-supervised segmentation of brain tissue via optimization-free registration error perception.
Pattern Recognit., 2026

Hierarchical fusion of electrocardiogram and phonocardiogram data improves heart failure detection.
Patterns, 2026

TSRNet: Target-aware Self Region-prompting Network for brain tumor segmentation.
Biomed. Signal Process. Control., 2026

FIA-Edit: Frequency-Interactive Attention for Efficient and High-Fidelity Inversion-Free Text-Guided Image Editing.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Pairing-free Group-level Knowledge Distillation for Robust Gastrointestinal Lesion Classification in White-Light Endoscopy.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

RouterNet: Hierarchical Point Routing Network for Robust Vertebral Landmark Localization on AP X-ray Images.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Boosting Few-Shot Semantic Segmentation of 3D Medical Images via Collaborative Slice Alignment.
IEEE J. Biomed. Health Informatics, December, 2025

Moving Light Adaptive Colonoscopy Reconstruction via Illumination-Attenuation-Aware 3D Gaussian Splatting.
CoRR, October, 2025

Single-Slice Semi-Supervised 3D Medical Image Segmentation via Correlation Information Enhancement and Hybrid Pseudo Mask Generation.
IEEE J. Biomed. Health Informatics, August, 2025

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation.
CoRR, August, 2025

Holistic White-light Polyp Classification via Alignment-free Dense Distillation of Auxiliary Optical Chromoendoscopy.
CoRR, May, 2025

CoStoDet-DDPM: Collaborative Training of Stochastic and Deterministic Models Improves Surgical Workflow Anticipation and Recognition.
CoRR, March, 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

Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge.
CoRR, February, 2025

Toward high-quality pseudo masks from noisy or weak annotations for robust medical image segmentation.
Neural Networks, 2025

SegRap2023: A benchmark of organs-at-risk and gross tumor volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma.
Medical Image Anal., 2025

Joint Holistic and Lesion Controllable Mammogram Synthesis via Gated Conditional Diffusion Model.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Targeted False Positive Synthesis via Detector-Guided Adversarial Diffusion Attacker for Robust Polyp Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Holistic White-Light Polyp Classification via Alignment-Free Dense Distillation of Auxiliary Optical Chromoendoscopy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

DACAT: Dual-stream Adaptive Clip-aware Time Modeling for Robust Online Surgical Phase Recognition.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

SPNet: Sparse-mask Prompt-learning Network for Cerebrovascular Segmentation.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

TiS-TSL: Image-Label Supervised Surgical Video Stereo Matching via Time-Switchable Teacher-Student Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Bidirectional Mammogram View Translation with Column-Aware and Implicit 3D Conditional Diffusion.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

TDD: Task-Aware Diffusion Dual-Matching for Robust Electrocardiogram Denoising.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

MonoBox: Tightness-Free Box-Supervised Polyp Segmentation Using Monotonicity Constraint.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 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

Accurate and Efficient Multi-class Segmentation for Aortic Branches and Zones in CTA.
Proceedings of the Multi-class Segmentation of the Aorta, 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

Decoupling Feature Representations of Ego and Other Modalities for Incomplete Multi-modal Brain Tumor Segmentation.
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

Monocular Camera Based Real-Time Dense Mapping Using Generative Adversarial Network.
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

V-Head: Face Detection and Alignment for Facial Augmented Reality Applications.
Proceedings of the MultiMedia Modeling - 23rd International Conference, 2017

Joint Face Detection and Initialization for Face Alignment.
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


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