Wenhui Lei

Orcid: 0000-0002-2952-3441

According to our database1, Wenhui Lei authored at least 24 papers between 2015 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
One-Shot Weakly-Supervised Segmentation in 3D Medical Images.
IEEE Trans. Medical Imaging, January, 2024

CT Synthesis with Conditional Diffusion Models for Abdominal Lymph Node Segmentation.
CoRR, 2024

2023
CDDSA: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation.
Medical Image Anal., October, 2023

Contrastive Semi-Supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures.
IEEE Trans. Medical Imaging, 2023

MedLSAM: Localize and Segment Anything Model for 3D Medical Images.
CoRR, 2023

Efficient Subclass Segmentation in Medical Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
HMRNet: High and Multi-Resolution Network With Bidirectional Feature Calibration for Brain Structure Segmentation in Radiotherapy.
IEEE J. Biomed. Health Informatics, 2022

Contrastive Domain Disentanglement for Generalizable Medical Image Segmentation.
CoRR, 2022

AANet: Artery-Aware Network for Pulmonary Embolism Detection in CTPA Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Automatic segmentation of gross target volume of nasopharynx cancer using ensemble of multiscale deep neural networks with spatial attention.
Neurocomputing, 2021

Automatic segmentation of organs-at-risk from head-and-neck CT using separable convolutional neural network with hard-region-weighted loss.
Neurocomputing, 2021

One-shot Weakly-Supervised Segmentation in Medical Images.
CoRR, 2021

Priori and Posteriori Attention for Generalizing Head and Neck Tumors Segmentation.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021

Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
One-Shot Object Localization in Medical Images based on Relative Position Regression.
CoRR, 2020

Myocardial Edema and Scar Segmentation Using a Coarse-to-Fine Framework with Weighted Ensemble.
Proceedings of the Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images, 2020

CSAF-CNN: Cross-Layer Spatial Attention Map Fusion Network for Organ-at-Risk Segmentation in Head and Neck CT Images.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
High- and Low-Level Feature Enhancement for Medical Image Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

DeepIGeoS-V2: Deep Interactive Segmentation of Multiple Organs from Head and Neck Images with Lightweight CNNs.
Proceedings of the Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, 2019

C-V2X Supported Automated Driving.
Proceedings of the 17th IEEE International Conference on Communications Workshops, 2019

2017
Predictive ridesharing based on personal mobility patterns.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

2016
Objective Evaluation Methods for Chinese Text-To-Speech Systems.
Proceedings of the Interspeech 2016, 2016

2015
Pruning redundant synthesis units based on static and delta unit appearance frequency.
Proceedings of the INTERSPEECH 2015, 2015


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