Yan Wang
Orcid: 0000-0002-4597-2060Affiliations:
- 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 68 papers
between 2013 and 2024.
Collaborative distances:
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Bibliography
2024
Semi-supervised medical image segmentation via hard positives oriented contrastive learning.
Pattern Recognit., February, 2024
Medical Image Anal., January, 2024
Dose Prediction Driven Radiotherapy Paramters Regression via Intra- and Inter-Relation Modeling.
CoRR, 2024
2023
Automatic Head-and-Neck Tumor Segmentation in MRI via an End-to-End Adversarial Network.
Neural Process. Lett., December, 2023
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification.
Medical Image Anal., October, 2023
Pattern Recognit., September, 2023
Int. J. Neural Syst., August, 2023
Uncertainty-weighted and relation-driven consistency training for semi-supervised head-and-neck tumor segmentation.
Knowl. Based Syst., 2023
Facial Expression Recognition with Contrastive Learning and Uncertainty-Guided Relabeling.
Int. J. Neural Syst., 2023
Diffusion-based Radiotherapy Dose Prediction Guided by Inter-slice Aware Structure Encoding.
CoRR, 2023
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Leveraging Hard Positives for Contrastive Learning in Semi-Supervised Medical Image Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
LION: Label Disambiguation for Semi-supervised Facial Expression Recognition with Progressive Negative Learning.
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.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
IEEE J. Biomed. Health Informatics, 2022
ASMFS: Adaptive-similarity-based multi-modality feature selection for classification of Alzheimer's disease.
Pattern Recognit., 2022
Medical Image Anal., 2022
Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning.
Medical Image Anal., 2022
Adaptive rectification based adversarial network with spectrum constraint for high-quality PET image synthesis.
Medical Image Anal., 2022
Knowl. Based Syst., 2022
Unified medical image segmentation by learning from uncertainty in an end-to-end manner.
Knowl. Based Syst., 2022
Explainable attention guided adversarial deep network for 3D radiotherapy dose distribution prediction.
Knowl. Based Syst., 2022
Knowl. Based Syst., 2022
An Efficient Semi-Supervised Framework with Multi-Task and Curriculum Learning for Medical Image Segmentation.
Int. J. Neural Syst., 2022
ISSMF: Integrated semantic and spatial information of multi-level features for automatic segmentation in prenatal ultrasound images.
Artif. Intell. Medicine, 2022
Multi-transSP: Multimodal Transformer for Survival Prediction of Nasopharyngeal Carcinoma Patients.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
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.
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.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
Fractional-Order Retinex for Adaptive Contrast Enhancement of Under-Exposed Traffic Images.
IEEE Intell. Transp. Syst. Mag., 2021
DA-DSUnet: Dual Attention-based Dense SU-net for automatic head-and-neck tumor segmentation in MRI images.
Neurocomputing, 2021
Edge-preserving MRI image synthesis via adversarial network with iterative multi-scale fusion.
Neurocomputing, 2021
Deep Learning based Multi-modal Computing with Feature Disentanglement for MRI Image Synthesis.
CoRR, 2021
LR-cGAN: Latent representation based conditional generative adversarial network for multi-modality MRI synthesis.
Biomed. Signal Process. Control., 2021
Tripled-Uncertainty Guided Mean Teacher Model for Semi-supervised Medical Image Segmentation.
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.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
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.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2019
IEEE Trans. Medical Imaging, 2019
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.
IEEE Trans. Image Process., 2018
Automatic Tumor Segmentation with Deep Convolutional Neural Networks for Radiotherapy Applications.
Neural Process. Lett., 2018
Patch-Based Label Fusion with Structured Discriminant Embedding for Hippocampus Segmentation.
Neuroinformatics, 2018
3D conditional generative adversarial networks for high-quality PET image estimation at low dose.
NeuroImage, 2018
J. Comput. Methods Sci. Eng., 2018
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.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
IEEE Trans. Mob. Comput., 2017
Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI.
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.
Pattern Recognit., 2017
Neurocomputing, 2017
2016
IEEE Trans. Image Process., 2016
Neurocomputing, 2016
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.
Wirel. Pers. Commun., 2015
J. Sensors, 2015
Predicting Standard-Dose PET Image from Low-Dose PET and Multimodal MR Images Using Mapping-Based Sparse Representation.
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.
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.
Future Gener. Comput. Syst., 2014
2013
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