Yaqi Wang

Orcid: 0000-0002-4627-3392

Affiliations:
  • Communication University of Zhejiang, College of Media Engineering, Hangzhou, China
  • Hangzhou Dianzi University, CAD institute, China (PhD 2020)


According to our database1, Yaqi Wang authored at least 55 papers between 2018 and 2026.

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

Timeline

Legend:

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Bibliography

2026
MICCAI 2023 STS Challenge: A retrospective study of semi-supervised approaches for teeth segmentation.
Pattern Recognit., 2026

2025
A Novel Multi-Modal Population-Graph Based Framework for Patients of Esophageal Squamous Cell Cancer Prognostic Risk Prediction.
IEEE J. Biomed. Health Informatics, May, 2025

GNN-ACLP: Graph Neural Networks based Analog Circuit Link Prediction.
CoRR, April, 2025

A spatial-spectral and temporal dual prototype network for motor imagery brain-computer interface.
Knowl. Based Syst., 2025

2024
Mmy-net: a multimodal network exploiting image and patient metadata for simultaneous segmentation and diagnosis.
Multim. Syst., April, 2024

Segmentation of Low-Light Optical Coherence Tomography Angiography Images under the Constraints of Vascular Network Topology.
Sensors, February, 2024

Sketch-Supervised Histopathology Tumour Segmentation: Dual CNN-Transformer With Global Normalised CAM.
IEEE J. Biomed. Health Informatics, January, 2024

AMSC-Net: Anatomy and multi-label semantic consistency network for semi-supervised fluid segmentation in retinal OCT.
Expert Syst. Appl., 2024

Efficient MedSAMs: Segment Anything in Medical Images on Laptop.
CoRR, 2024

Adaptive Interactive Segmentation for Multimodal Medical Imaging via Selection Engine.
CoRR, 2024

STS MICCAI 2023 Challenge: Grand challenge on 2D and 3D semi-supervised tooth segmentation.
CoRR, 2024

Cascade spatial and channel-wise multifusion network with criss cross augmentation for corneal segmentation and reconstruction.
Comput. Biol. Medicine, 2024

Enhancing point annotations with superpixel and confident learning guided for improving semi-supervised OCT fluid segmentation.
Biomed. Signal Process. Control., 2024

BathNet: A network to classification of fundus and contrast images using label transfer and multi-branch transformer.
Biomed. Signal Process. Control., 2024

PGKD-Net: Prior-guided and Knowledge Diffusive Network for Choroid Segmentation.
Artif. Intell. Medicine, 2024

MMFusion: Multi-modality Diffusion Model for Lymph Node Metastasis Diagnosis in Esophageal Cancer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Multi-Modal Intermediate Feature Interaction Autoencoder for Overall Survival Prediction of Esophageal Squamous Cell Cancer.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

FDNet: Feature Decoupled Segmentation Network for Tooth CBCT Image.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

ExpertsMedSAM: Faster Medical Image Segment Anything with Mixture-of-Experts.
Proceedings of the Medical Image Segmentation Foundation Models. CVPR 2024 Challenge: Segment Anything in Medical Images on Laptop, 2024

2023
GOMPS: Global Attention-based Ophthalmic Image Measurement and Postoperative Appearance Prediction System.
Expert Syst. Appl., December, 2023

Stimulus-guided adaptive transformer network for retinal blood vessel segmentation in fundus images.
Medical Image Anal., October, 2023

POST-IVUS: A perceptual organisation-aware selective transformer framework for intravascular ultrasound segmentation.
Medical Image Anal., October, 2023

CDNet: Contrastive Disentangled Network for Fine-Grained Image Categorization of Ocular B-Scan Ultrasound.
IEEE J. Biomed. Health Informatics, July, 2023

MSCA-Net: Multi-scale contextual attention network for skin lesion segmentation.
Pattern Recognit., July, 2023

ASCAM-Former: Blind image quality assessment based on adaptive spatial & channel attention merging transformer and image to patch weights sharing.
Expert Syst. Appl., April, 2023

PMP-Swin: Multi-Scale Patch Message Passing Swin Transformer for Retinal Disease Classification.
CoRR, 2023

MSE-Nets: Multi-annotated Semi-supervised Ensemble Networks for Improving Segmentation of Medical Image with Ambiguous Boundaries.
CoRR, 2023

DEFN: Dual-Encoder Fourier Group Harmonics Network for Three-Dimensional Macular Hole Reconstruction with Stochastic Retinal Defect Augmentation and Dynamic Weight Composition.
CoRR, 2023

MTLFormer: Multi-Task Learning Guided Transformer Network for Business Process Prediction.
IEEE Access, 2023

2022
AGMB-Transformer: Anatomy-Guided Multi-Branch Transformer Network for Automated Evaluation of Root Canal Therapy.
IEEE J. Biomed. Health Informatics, 2022

CDNet: Contrastive Disentangled Network for Fine-Grained Image Categorization of Ocular B-Scan Ultrasound.
CoRR, 2022

Source-free Domain Adaptation for Multi-site and Lifespan Brain Skull Stripping.
CoRR, 2022

Class-Aware Attention Network for infectious keratitis diagnosis using corneal photographs.
Comput. Biol. Medicine, 2022

LSANet: Lesion-Specific Attention Network for Monkeypox Categorization.
Proceedings of the IEEE Smartworld, 2022

Light Annotation Fine Segmentation: Histology Image Segmentation Based on VGG Fusion with Global Normalisation CAM.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2022

Plug-and-Play Shape Refinement Framework for Multi-site and Lifespan Brain Skull Stripping.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

CTooth+: A Large-Scale Dental Cone Beam Computed Tomography Dataset and Benchmark for Tooth Volume Segmentation.
Proceedings of the Data Augmentation, Labelling, and Imperfections, 2022

Dual Path DNN Based Heterogenous Reference Image Quality Assessment via Decoupling the Quality Difference and Content Difference.
Proceedings of the Intelligent Robotics and Applications - 15th International Conference, 2022

DU-Net Based Unsupervised Contrastive Learning for Cancer Segmentation in Histology Images.
Proceedings of the Intelligent Robotics and Applications - 15th International Conference, 2022

CTooth: A Fully Annotated 3D Dataset and Benchmark for Tooth Volume Segmentation on Cone Beam Computed Tomography Images.
Proceedings of the Intelligent Robotics and Applications - 15th International Conference, 2022

2021
Multiscale Attention Guided Network for COVID-19 Diagnosis Using Chest X-Ray Images.
IEEE J. Biomed. Health Informatics, 2021

Enhanced Diagnosis of Pneumothorax with an Improved Real-Time Augmentation for Imbalanced Chest X-rays Data Based on DCNN.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

iCOVID: interpretable deep learning framework for early recovery-time prediction of COVID-19 patients.
npj Digit. Medicine, 2021

Dispensed Transformer Network for Unsupervised Domain Adaptation.
CoRR, 2021

Structure-aware scale-adaptive networks for cancer segmentation in whole-slide images.
CoRR, 2021

Anatomy-Guided Parallel Bottleneck Transformer Network for Automated Evaluation of Root Canal Therapy.
CoRR, 2021

GT U-Net: A U-Net Like Group Transformer Network for Tooth Root Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Trans-Attention Multiple Instance Learning for Cancer Tissue Classification in Digital Histopathology Images.
Proceedings of the ICBIP 2021: 6th International Conference on Biomedical Signal and Image Processing, Suzhou, China, August 20, 2021

2020
Multiscale Attention Guided Network for COVID-19 Detection Using Chest X-ray Images.
CoRR, 2020

A cascade network for Detecting COVID-19 using chest x-rays.
CoRR, 2020

SU-Net and DU-Net Fusion for Tumour Segmentation in Histopathology Images.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Adversarial-Based Domain Adaptation Networks for Unsupervised Tumour Detection in Histopathology.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
BEM-RCNN Segmentation Based on the Inadequately Labeled Moving Mesenchymal Stem Cells.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019

DDU-Nets: Distributed Dense Model for 3D MRI Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018
Breast Cancer Microscope Image Classification Based on CNN with Image Deformation.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018


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