Hengfei Cui
Orcid: 0000-0001-8625-2521
According to our database1,
Hengfei Cui
authored at least 31 papers
between 2017 and 2024.
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Bibliography
2024
Toward Accurate Cardiac MRI Segmentation With Variational Autoencoder-Based Unsupervised Domain Adaptation.
IEEE Trans. Medical Imaging, August, 2024
Robust Stochastic Neural Ensemble Learning With Noisy Labels for Thoracic Disease Classification.
IEEE Trans. Medical Imaging, June, 2024
CoRR, 2024
DisControlFace: Adding Disentangled Control to Diffusion Autoencoder for One-shot Explicit Facial Image Editing.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
FedEvi: Improving Federated Medical Image Segmentation via Evidential Weight Aggregation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Deformable medical image registration with global-local transformation network and region similarity constraint.
Comput. Medical Imaging Graph., September, 2023
An Improved Combination of Faster R-CNN and U-Net Network for Accurate Multi-Modality Whole Heart Segmentation.
IEEE J. Biomed. Health Informatics, July, 2023
AATSN: Anatomy Aware Tumor Segmentation Network for PET-CT volumes and images using a lightweight fusion-attention mechanism.
Comput. Biol. Medicine, May, 2023
FP-DARTS: Fast parallel differentiable neural architecture search for image classification.
Pattern Recognit., April, 2023
DAN-NucNet: A dual attention based framework for nuclei segmentation in cancer histology images under wild clinical conditions.
Expert Syst. Appl., March, 2023
CoRR, 2023
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts.
CoRR, 2023
Treasure in Distribution: A Domain Randomization Based Multi-source Domain Generalization for 2D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Deep U-Net architecture with curriculum learning for myocardial pathology segmentation in multi-sequence cardiac magnetic resonance images.
Knowl. Based Syst., 2022
Improving myocardial pathology segmentation with U-Net++ and EfficientSeg from multi-sequence cardiac magnetic resonance images.
Comput. Biol. Medicine, 2022
Proceedings of the Left Atrial and Scar Quantification and Segmentation - First Challenge, 2022
2021
Unsupervised Three-Dimensional Tubular Structure Segmentation via Filter Combination.
Int. J. Comput. Intell. Syst., 2021
A robust discriminative multi-atlas label fusion method for hippocampus segmentation from MR image.
Comput. Methods Programs Biomed., 2021
Multiscale attention guided U-Net architecture for cardiac segmentation in short-axis MRI images.
Comput. Methods Programs Biomed., 2021
Bidirectional cross-modality unsupervised domain adaptation using generative adversarial networks for cardiac image segmentation.
Comput. Biol. Medicine, 2021
Biomed. Signal Process. Control., 2021
Dual Attention Guided R2 U-Net Architecture for Right Ventricle Segmentation in MRI Images.
Proceedings of the Image and Graphics - 11th International Conference, 2021
2020
Supervised Filter Learning for Coronary Artery Vesselness Enhancement Diffusion in Coronary CT Angiography Images.
Int. J. Comput. Intell. Syst., 2020
2019
2D and 3D Vascular Structures Enhancement Via Improved Vesselness Filter and Vessel Enhancing Diffusion.
IEEE Access, 2019
Three-Dimensional Coronary Artery Centerline Extraction and Cross Sectional Lumen Quantification from CT Angiography Images.
Proceedings of the Intelligence Science and Big Data Engineering. Visual Data Engineering, 2019
2018
Validation of right coronary artery lumen area from cardiac computed tomography against intravascular ultrasound.
Mach. Vis. Appl., 2018
Biomed. Signal Process. Control., 2018
Automatic Coronary Centerline Extraction Using Gradient Vector Flow Field and Fast Marching Method From CT Images.
IEEE Access, 2018
Fast and Robust 3D Numerical Method for Coronary Artery Vesselness Diffusion from CTA Images.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018
2017
Gradient Vector Flow Field and Fast Marching Based Method for Centerline Computation of Coronary Arteries.
Proceedings of the Intelligence Science and Big Data Engineering, 2017