| ISLES 2015-A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI O Maier, BH Menze, J Von der Gablentz, L Häni, MP Heinrich, M Liebrand, ... Medical image analysis 35, 250-269, 2017 | 546 | 2017 |
| Image segmentation and bias correction using local inhomogeneous iNtensity clustering (LINC): a region-based level set method C Feng, D Zhao, M Huang Neurocomputing 219, 107-129, 2017 | 67 | 2017 |
| Image segmentation using CUDA accelerated non-local means denoising and bias correction embedded fuzzy c-means (BCEFCM) C Feng, D Zhao, M Huang Signal processing 122, 164-189, 2016 | 61 | 2016 |
| Segmentation of the left ventricle using distance regularized two-layer level set approach C Feng, C Li, D Zhao, C Davatzikos, H Litt Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013 | 46 | 2013 |
| Simultaneous extraction of endocardial and epicardial contours of the left ventricle by distance regularized level sets C Feng, S Zhang, D Zhao, C Li Medical physics 43 (6Part1), 2741-2755, 2016 | 42 | 2016 |
| Molecular Subtypes Recognition of Breast Cancer in Dynamic Contrast‐Enhanced Breast Magnetic Resonance Imaging Phenotypes from Radiomics Data W Li, K Yu, C Feng, D Zhao Computational and mathematical methods in medicine 2019 (1), 6978650, 2019 | 34 | 2019 |
| Non-locally regularized segmentation of multiple sclerosis lesion from multi-channel MRI data J Gao, C Li, C Feng, M Xie, Y Yin, C Davatzikos Magnetic resonance imaging 32 (8), 1058-1066, 2014 | 31 | 2014 |
| Utilizing GCN and meta-learning strategy in unsupervised domain adaptation for pancreatic cancer segmentation J Li, C Feng, X Lin, X Qian IEEE Journal of Biomedical and Health Informatics 26 (1), 79-89, 2021 | 29 | 2021 |
| Frangi based multi-scale level sets for retinal vascular segmentation J Yang, M Huang, J Fu, C Lou, C Feng Computer Methods and Programs in Biomedicine 197, 105752, 2020 | 29 | 2020 |
| Vessel segmentation using multiscale vessel enhancement and a region based level set model J Yang, C Lou, J Fu, C Feng Computerized Medical Imaging and Graphics 85, 101783, 2020 | 29 | 2020 |
| BCEFCM_S: Bias correction embedded fuzzy c-means with spatial constraint to segment multiple spectral images with intensity inhomogeneities and noises C Feng, W Li, J Hu, K Yu, D Zhao Signal Processing 168, 107347, 2020 | 29 | 2020 |
| Segmentation of longitudinal brain MR images using bias correction embedded fuzzy c-means with non-locally spatio-temporal regularization C Feng, D Zhao, M Huang Journal of Visual Communication and Image Representation 38, 517-529, 2016 | 29 | 2016 |
| Segmentation of ischemic stroke lesions in multi-spectral MR images using weighting suppressed FCM and three phase level set C Feng, D Zhao, M Huang Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2016 | 23 | 2016 |
| EchoEFNet: Multi-task deep learning network for automatic calculation of left ventricular ejection fraction in 2D echocardiography H Li, Y Wang, M Qu, P Cao, C Feng, J Yang Computers in Biology and Medicine 156, 106705, 2023 | 21 | 2023 |
| MISS-D: A fast and scalable framework of medical image storage service based on distributed file system W Li, C Feng, K Yu, D Zhao Computer methods and programs in biomedicine 186, 105189, 2020 | 18 | 2020 |
| Knowledge-preserving continual person re-identification using graph attention network Z Liu, C Feng, S Chen, J Hu Neural Networks 161, 105-115, 2023 | 17 | 2023 |
| A CUDA-based reverse gridding algorithm for MR reconstruction J Yang, C Feng, D Zhao Magnetic resonance imaging 31 (2), 313-323, 2013 | 15 | 2013 |
| A Global Inhomogeneous Intensity Clustering‐(GINC‐) Based Active Contour Model for Image Segmentation and Bias Correction C Feng, J Yang, C Lou, W Li, K Yu, D Zhao Computational and Mathematical Methods in Medicine 2020 (1), 7595174, 2020 | 14 | 2020 |
| Segmentation of stroke lesions in multi-spectral MR images using bias correction embedded FCM and three phase level set C Feng, D Zhao, M Huang MICCAI Ischemic Stroke Lesion Segmentation, 3, 2015 | 14 | 2015 |
| GAMB-GNN: Graph Neural Networks learning from gene structure relations and Markov Blanket ranking for cancer classification in microarray data S Zhang, W Xie, W Li, L Wang, C Feng Chemometrics and Intelligent Laboratory Systems 232, 104713, 2023 | 11 | 2023 |
Wei LiNortheastern UniversityEmail verificata su cse.neu.edu.cn
