Hengfei Cui

Orcid: 0000-0001-8625-2521

According to our database1, Hengfei Cui authored at least 26 papers between 2017 and 2024.

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

Timeline

Legend:

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Bibliography

2024
MAST: Video Polyp Segmentation with a Mixture-Attention Siamese Transformer.
CoRR, 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

DisControlFace: Disentangled Control for Personalized Facial Image Editing.
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

Deep U-Net Architecture with Curriculum Learning for Left Atrial Segmentation.
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

View adaptive learning for pancreas segmentation.
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

Pulmonary nodule detection in medical images: A survey.
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


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