Yan Wang

Orcid: 0000-0002-8843-8685

Affiliations:

Sichuan University, Chengdu, China
University of Sydney, Australia
Sichuan University, College of Electronics and Information Engineering, Chengdu, China (PhD 2015)
University of North Carolina at Chapel Hill, Department of Radiology, NC, USA (2014 - 2015)

According to our database¹, Yan Wang authored at least 117 papers between 2013 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Prior Knowledge-Guided Triple-Domain Transformer-GAN for Direct PET Reconstruction From Low-Count Sinograms.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, December, 2024

3D Point-Based Multi-Modal Context Clusters GAN for Low-Dose PET Image Denoising.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., October, 2024

MedNAS: Multiscale Training-Free Neural Architecture Search for Medical Image Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., June, 2024

Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, May, 2024

Semi-supervised medical image segmentation via hard positives oriented contrastive learning.

[BibT_eX]

[DOI]

Pattern Recognit., February, 2024

3D multi-modality Transformer-GAN for high-quality PET reconstruction.

[BibT_eX]

[DOI]

Medical Image Anal., January, 2024

Exploring Domain-Invariant Feature Space for Unsupervised Cross-Domain Facial Expression Recognition via Diffusion Model.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2024

DANE: A Dual-Level Alignment Network With Ensemble Learning for Multisource Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2024

Semantic-Aware Adaptive Prompt Learning for Universal Multi-Source Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2024

Alleviating Class Imbalance in Semi-Supervised Multi-Organ Segmentation via Balanced Subclass Regularization.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2024

Ma<sup>2</sup>SP: Missing-Aware Prompting With Modality-Adaptive Integration for Incomplete Multi-Modal Survival Prediction.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2024

CL-TransFER: Collaborative learning based transformer for facial expression recognition with masked reconstruction.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

Source-free domain adaptation via dynamic pseudo labeling and Self-supervision.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

DSANet: Dual-path segmentation-guided attention network for radiotherapy dose prediction from CT images only.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

FDDM: Frequency-Decomposed Diffusion Model for Rectum Cancer Dose Prediction in Radiotherapy.

[BibT_eX]

[DOI]

CoRR, 2024

BTMuda: A Bi-level Multi-source unsupervised domain adaptation framework for breast cancer diagnosis.

[BibT_eX]

[DOI]

CoRR, 2024

ARANet: Attention-based Residual Adversarial Network with Deep Supervision for Radiotherapy Dose Prediction of Cervical Cancer.

[BibT_eX]

[DOI]

CoRR, 2024

Dose Prediction Driven Radiotherapy Paramters Regression via Intra- and Inter-Relation Modeling.

[BibT_eX]

[DOI]

CoRR, 2024

SCFormer: Spatial and Channel-wise Transformer with Contrastive Learning for High-Quality PET Image Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2024

S3PET: Semi-supervised Standard-dose PET Image Reconstruction via Dose-aware Token Swap.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2024

Learning with Alignments: Tackling the Inter- and Intra-domain Shifts for Cross-multidomain Facial Expression Recognition.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

ABP: Asymmetric Bilateral Prompting for Text-Guided Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

MuGI: Multi-Granularity Interactions of Heterogeneous Biomedical Data for Survival Prediction.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Textmatch: Using Text Prompts to Improve Semi-supervised Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Common Vision-Language Attention for Text-Guided Medical Image Segmentation of Pneumonia.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

MCAD: Multi-modal Conditioned Adversarial Diffusion Model for High-Quality PET Image Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Enhancing Hybrid CNN-Transformer via Frequency-Based Bridging for Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Triplet-Constraint Transformer with Multi-Scale Refinement for Dose Prediction in Radiotherapy.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Content-Aware Adversarial Network with Gradient-Enhanced Dose Rectification for Radiotherapy Dose Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Two-Phase Multi-Dose-Level Pet Image Reconstruction with Dose Level Awareness.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Dose Prediction Driven Radiotherapy Parameters Regression via Intra- and Inter-Relation Modeling.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

D2GAN: A Dual-Domain Generative Adversarial Network for High-Quality PET Image Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

Adaptive Prompt Learning with Negative Textual Semantics and Uncertainty Modeling for Universal Multi-Source Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

DCL-Net: Dual Contrastive Learning Network for Semi-Supervised Multi-Organ Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Image2Points: A 3D Point-Based Context Clusters GAN for High-Quality Pet Image Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Improving Medical Vision-Language Contrastive Pretraining With Semantics-Aware Triage.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, December, 2023

Automatic Head-and-Neck Tumor Segmentation in MRI via an End-to-End Adversarial Network.

[BibT_eX]

[DOI]

Neural Process. Lett., December, 2023

Consistent representation via contrastive learning for skin lesion diagnosis.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., December, 2023

Unsupervised Domain Adaptive Dose Prediction via Cross-Attention Transformer and Target-Specific Knowledge Preservation.

[BibT_eX]

[DOI]

Int. J. Neural Syst., November, 2023

TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification.

[BibT_eX]

[DOI]

Medical Image Anal., October, 2023

Multi-level progressive transfer learning for cervical cancer dose prediction.

[BibT_eX]

[DOI]

Pattern Recognit., September, 2023

A Transformer-Embedded Multi-Task Model for Dose Distribution Prediction.

[BibT_eX]

[DOI]

Int. J. Neural Syst., August, 2023

Learning representation via indirect feature decorrelation with bi-vector-based contrastive learning for clustering.

[BibT_eX]

[DOI]

Inf. Sci., May, 2023

A Feature Space-Restricted Attention Attack on Medical Deep Learning Systems.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2023

Contrastive domain adaptation with consistency match for automated pneumonia diagnosis.

[BibT_eX]

[DOI]

Jordan Zheng Ting Sim

Medical Image Anal., 2023

Uncertainty-weighted and relation-driven consistency training for semi-supervised head-and-neck tumor segmentation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2023

An Efficient Multi-Objective Evolutionary Zero-Shot Neural Architecture Search Framework for Image Classification.

[BibT_eX]

[DOI]

Int. J. Neural Syst., 2023

Facial Expression Recognition with Contrastive Learning and Uncertainty-Guided Relabeling.

[BibT_eX]

[DOI]

Int. J. Neural Syst., 2023

Diffusion-based Radiotherapy Dose Prediction Guided by Inter-slice Aware Structure Encoding.

[BibT_eX]

[DOI]

CoRR, 2023

DBTrans: A Dual-Branch Vision Transformer for Multi-Modal Brain Tumor Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

DiffDP: Radiotherapy Dose Prediction via a Diffusion Model.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Polymerized Feature-Based Domain Adaptation for Cervical Cancer Dose Map Prediction.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Leveraging Hard Positives for Contrastive Learning in Semi-Supervised Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

LION: Label Disambiguation for Semi-supervised Facial Expression Recognition with Progressive Negative Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Rethinking Safe Semi-supervised Learning: Transferring the Open-set Problem to A Close-set One.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

WDCCNet: Weighted Double-Classifier Constraint Neural Network for Mammographic Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2022

Multi-Modal MRI Image Synthesis via GAN With Multi-Scale Gate Mergence.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2022

Deep Supervised Domain Adaptation for Pneumonia Diagnosis From Chest X-Ray Images.

[BibT_eX]

[DOI]

Jordan Zheng Ting Sim

IEEE J. Biomed. Health Informatics, 2022

Feature-Sensitive Deep Convolutional Neural Network for Multi-Instance Breast Cancer Detection.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

ASMFS: Adaptive-similarity-based multi-modality feature selection for classification of Alzheimer's disease.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Multi-constraint generative adversarial network for dose prediction in radiotherapy.

[BibT_eX]

[DOI]

Medical Image Anal., 2022

Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning.

[BibT_eX]

[DOI]

Medical Image Anal., 2022

Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images.

[BibT_eX]

[DOI]

Medical Image Anal., 2022

Adaptive rectification based adversarial network with spectrum constraint for high-quality PET image synthesis.

[BibT_eX]

[DOI]

Medical Image Anal., 2022

D2FE-GAN: Decoupled dual feature extraction based GAN for MRI image synthesis.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Unified medical image segmentation by learning from uncertainty in an end-to-end manner.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Explainable attention guided adversarial deep network for 3D radiotherapy dose distribution prediction.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Semi-supervised NPC segmentation with uncertainty and attention guided consistency.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

An Efficient Semi-Supervised Framework with Multi-Task and Curriculum Learning for Medical Image Segmentation.

[BibT_eX]

[DOI]

Int. J. Neural Syst., 2022

ISSMF: Integrated semantic and spatial information of multi-level features for automatic segmentation in prenatal ultrasound images.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2022

Multi-transSP: Multimodal Transformer for Survival Prediction of Nasopharyngeal Carcinoma Patients.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Classification-Aided High-Quality PET Image Synthesis via Bidirectional Contrastive GAN with Shared Information Maximization.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Two-Phase Progressive Deep Transfer Learning for Cervical Cancer Dose Map Prediction.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Mask-Free Radiotherapy Dose Prediction via Multi-Task Learning.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Deep adversarial domain adaptation for breast cancer screening from mammograms.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Prob-CLR: A probabilistic approach to learn discriminative representation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Fractional-Order Retinex for Adaptive Contrast Enhancement of Under-Exposed Traffic Images.

[BibT_eX]

[DOI]

IEEE Intell. Transp. Syst. Mag., 2021

DA-DSUnet: Dual Attention-based Dense SU-net for automatic head-and-neck tumor segmentation in MRI images.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Edge-preserving MRI image synthesis via adversarial network with iterative multi-scale fusion.

[BibT_eX]

[DOI]

Neurocomputing, 2021

The Medical Segmentation Decathlon.

[BibT_eX]

[DOI]

Annette Kopp-Schneider

Patrick Ferdinand Christ

Jennifer Goli-Pernicka

CoRR, 2021

Deep Learning based Multi-modal Computing with Feature Disentanglement for MRI Image Synthesis.

[BibT_eX]

[DOI]

CoRR, 2021

LR-cGAN: Latent representation based conditional generative adversarial network for multi-modality MRI synthesis.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2021

Tripled-Uncertainty Guided Mean Teacher Model for Semi-supervised Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Incorporating Isodose Lines and Gradient Information via Multi-task Learning for Dose Prediction in Radiotherapy.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Coarse-To-Fine Segmentation of Organs at Risk in Nasopharyngeal Carcinoma Radiotherapy.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

3D Transformer-GAN for High-Quality PET Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Multi-Task Curriculum Learning For Semi-Supervised Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Adaptive Multi-Organ Loss Based Generative Adversarial Network For Automatic Dose Prediction In Radiotherapy.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Iterative 3D feature enhancement network for pancreas segmentation from CT images.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2020

2019

3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2019

Multitask Learning for Object Localization With Deep Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., 2019

Single-label and multi-label conceptor classifiers in pre-trained neural networks.

[BibT_eX]

[DOI]

Guangwu Qian

Lei Zhang

Yan Wang

Neural Comput. Appl., 2019

Patch-wise label propagation for MR brain segmentation based on multi-atlas images.

[BibT_eX]

[DOI]

Multim. Syst., 2019

2018

A Fractional-Order Variational Framework for Retinex: Fractional-Order Partial Differential Equation-Based Formulation for Multi-Scale Nonlocal Contrast Enhancement with Texture Preserving.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2018

Automatic Tumor Segmentation with Deep Convolutional Neural Networks for Radiotherapy Applications.

[BibT_eX]

[DOI]

Neural Process. Lett., 2018

Patch-Based Label Fusion with Structured Discriminant Embedding for Hippocampus Segmentation.

[BibT_eX]

[DOI]

Neuroinformatics, 2018

3D conditional generative adversarial networks for high-quality PET image estimation at low dose.

[BibT_eX]

[DOI]

NeuroImage, 2018

DTNs for monitoring of communicable diseases in urban environments.

[BibT_eX]

[DOI]

J. Comput. Methods Sci. Eng., 2018

Locality Adaptive Multi-modality GANs for High-Quality PET Image Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Multi-modality feature selection with adaptive similarity learning for classification of Alzheimer's disease.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Tumor segmentation via multi-modality joint dictionary learning.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Maximizing Charging Satisfaction of Smartphone Users via Wireless Energy Transfer.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., 2017

Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2017

A general subspace ensemble learning framework via totally-corrective boosting and tensor-based and local patch-based extensions for gait recognition.

[BibT_eX]

[DOI]

Guangkai Ma

Ligang Wu

Yan Wang

Pattern Recognit., 2017

Subspace ensemble learning via totally-corrective boosting for gait recognition.

[BibT_eX]

[DOI]

Guangkai Ma

Yan Wang

Ligang Wu

Neurocomputing, 2017

2016

Multi-Level Canonical Correlation Analysis for Standard-Dose PET Image Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2016

Analysis of micro-Doppler signatures of vibration targets using EMD and SPWVD.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Patch-Based Hippocampus Segmentation Using a Local Subspace Learning Method.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

2015

DTN Routing with Fixed Stations Based on the Geographic Grid Approach in an Urban Environment.

[BibT_eX]

[DOI]

Wirel. Pers. Commun., 2015

GTDM: A DTN Routing on Noncooperative Game Theory in a City Environment.

[BibT_eX]

[DOI]

J. Sensors, 2015

Predicting Standard-Dose PET Image from Low-Dose PET and Multimodal MR Images Using Mapping-Based Sparse Representation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

A Multi-level Canonical Correlation Analysis Scheme for Standard-Dose PET Image Estimation.

[BibT_eX]

[DOI]

Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

2014

Identification of the normal and abnormal heart sounds using wavelet-time entropy features based on OMS-WPD.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2014

2013

Vehicle Type Recognition in WSN Based on ITESP Algorithm.

[BibT_eX]

[DOI]

Yan Wang

Jiliu Zhou

Proceedings of the 2013 IEEE 10th International Conference on Ubiquitous Intelligence and Computing and 2013 IEEE 10th International Conference on Autonomic and Trusted Computing, 2013

Yan Wang

Timeline

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