Chaolu Feng
Orcid: 0000-0002-5575-2328
According to our database1,
Chaolu Feng
authored at least 41 papers
between 2013 and 2024.
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Bibliography
2024
BMC Medical Imaging, December, 2024
Learning discriminative foreground-and-background features for few-shot segmentation.
Multim. Tools Appl., May, 2024
GCReID: Generalized continual person re-identification via meta learning and knowledge accumulation.
Neural Networks, 2024
A spatio-temporal graph convolutional network for ultrasound echocardiographic landmark detection.
Medical Image Anal., 2024
IEEE Access, 2024
2023
Region based level sets for image segmentation: a brief comparative review with a fast model FREEST.
Multim. Tools Appl., October, 2023
Automatic prediction of acute coronary syndrome based on pericoronary adipose tissue and atherosclerotic plaques.
Comput. Medical Imaging Graph., September, 2023
Knowledge-Preserving continual person re-identification using Graph Attention Network.
Neural Networks, April, 2023
Large scale medical image online three-dimensional reconstruction based on WebGL using four tier client server architecture.
Inf. Vis., April, 2023
EchoEFNet: Multi-task deep learning network for automatic calculation of left ventricular ejection fraction in 2D echocardiography.
Comput. Biol. Medicine, April, 2023
Segmentation of Pericardial Adipose Tissue in CMR Images: A Benchmark Dataset MRPEAT and a Triple-Stage Network 3SUnet.
IEEE Trans. Medical Imaging, 2023
What will regularized continuous learning performs if it was used to medical image segmentation: a preliminary analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Utilizing GCN and Meta-Learning Strategy in Unsupervised Domain Adaptation for Pancreatic Cancer Segmentation.
IEEE J. Biomed. Health Informatics, 2022
Abdominal vessel segmentation using vessel model embedded fuzzy C-means and similarity from CT angiography.
Medical Biol. Eng. Comput., 2022
Pancreatic cancer segmentation in unregistered multi-parametric MRI with adversarial learning and multi-scale supervision.
Neurocomputing, 2022
Int. J. Comput. Assist. Radiol. Surg., 2022
Bias correction of intensity inhomogeneous images hybridized with superpixel segmentation.
Biomed. Signal Process. Control., 2022
2021
Segmentation of the cardiac ventricle using two layer level sets with prior shape constraint.
Biomed. Signal Process. Control., 2021
Vessel enhancement using Multi-scale Space-Intensity domain Fusion Adaptive filtering.
Biomed. Signal Process. Control., 2021
2020
BCEFCM_S: Bias correction embedded fuzzy c-means with spatial constraint to segment multiple spectral images with intensity inhomogeneities and noises.
Signal Process., 2020
SP-MIOV: A novel framework of shadow proxy based medical image online visualization in computing and storage resource restrained environments.
Future Gener. Comput. Syst., 2020
Comput. Methods Programs Biomed., 2020
MISS-D: A fast and scalable framework of medical image storage service based on distributed file system.
Comput. Methods Programs Biomed., 2020
A Global Inhomogeneous Intensity Clustering- (GINC-) Based Active Contour Model for Image Segmentation and Bias Correction.
Comput. Math. Methods Medicine, 2020
Vessel segmentation using multiscale vessel enhancement and a region based level set model.
Comput. Medical Imaging Graph., 2020
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020
2019
Segmentation of the Cardiac Left Ventricle from Cine Magnetic Resonance Images Using Local Inhomogeneous Intensity Clustering with Prior Shape Constraint.
J. Medical Imaging Health Informatics, 2019
Molecular Subtypes Recognition of Breast Cancer in Dynamic Contrast-Enhanced Breast Magnetic Resonance Imaging Phenotypes from Radiomics Data.
Comput. Math. Methods Medicine, 2019
Graph Cuts and Shape Constraint Based Automatic Femoral Head Segmentation in CT Images.
Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019
Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019
R4: A Client Server Architecture Oriented Open Three Dimensional Reconstruction Layered Reference Model for Medical Images.
Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019
A Two-level Cloud Storage System Based on Asynchronous Message for Medical Image Big Data.
Proceedings of the 5th International Conference on Big Data Computing and Communications, 2019
2017
ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI.
Medical Image Anal., 2017
Image segmentation and bias correction using local inhomogeneous iNtensity clustering (LINC): A region-based level set method.
Neurocomputing, 2017
IEOPF: An Active Contour Model for Image Segmentation with Inhomogeneities Estimated by Orthogonal Primary Functions.
CoRR, 2017
2016
Image segmentation using CUDA accelerated non-local means denoising and bias correction embedded fuzzy c-means (BCEFCM).
Signal Process., 2016
Segmentation of longitudinal brain MR images using bias correction embedded fuzzy c-means with non-locally spatio-temporal regularization.
J. Vis. Commun. Image Represent., 2016
2015
Segmentation of Ischemic Stroke Lesions in Multi-spectral MR Images Using Weighting Suppressed FCM and Three Phase Level Set.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015
Impact of the Number of Atlases in a Level Set Formulation of Multi-atlas Segmentation.
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015
2013
Segmentation of the Left Ventricle Using Distance Regularized Two-Layer Level Set Approach.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013