Chunfeng Lian (练春锋)
Chunfeng Lian (练春锋)
Verified email at xjtu.edu.cn - Homepage
Title
Cited by
Cited by
Year
Hierarchical fully convolutional network for joint atrophy localization and Alzheimer's disease diagnosis using structural MRI
C Lian, M Liu, J Zhang, D Shen
IEEE transactions on pattern analysis and machine intelligence 42 (4), 880-893, 2018
1112018
Synthesizing missing PET from MRI with cycle-consistent generative adversarial networks for Alzheimer’s disease diagnosis
Y Pan, M Liu, C Lian, T Zhou, Y Xia, D Shen
International Conference on Medical Image Computing and Computer-Assisted …, 2018
632018
An evidential classifier based on feature selection and two-step classification strategy
C Lian, S Ruan, T Denoeux
Pattern Recognition 48 (7), 2318-2327, 2015
632015
Selecting radiomic features from FDG-PET images for cancer treatment outcome prediction
C Lian, S Ruan, T Denœux, F Jardin, P Vera
Medical image analysis 32, 257-268, 2016
612016
Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images
C Lian, J Zhang, M Liu, X Zong, SC Hung, W Lin, D Shen
Medical image analysis 46, 106-117, 2018
542018
Joint tumor segmentation in PET-CT images using co-clustering and fusion based on belief functions
C Lian, S Ruan, T Denœux, H Li, P Vera
IEEE Transactions on Image Processing 28 (2), 755-766, 2018
352018
Dissimilarity metric learning in the belief function framework
C Lian, S Ruan, T Denoeux
IEEE Transactions on Fuzzy Systems 24 (6), 1555-1564, 2016
292016
Automated detection and classification of thyroid nodules in ultrasound images using clinical-knowledge-guided convolutional neural networks
T Liu, Q Guo, C Lian, X Ren, S Liang, J Yu, L Niu, W Sun, D Shen
Medical image analysis 58, 101555, 2019
262019
Volume-based analysis of 6-month-old infant brain MRI for autism biomarker identification and early diagnosis
L Wang, G Li, F Shi, X Cao, C Lian, D Nie, M Liu, H Zhang, G Li, Z Wu, ...
International conference on medical image computing and computer-assisted …, 2018
262018
Spatial evidential clustering with adaptive distance metric for tumor segmentation in FDG-PET images
C Lian, S Ruan, T Denœux, H Li, P Vera
IEEE Transactions on Biomedical Engineering 65 (1), 21-30, 2017
222017
Developmental topography of cortical thickness during infancy
F Wang, C Lian, Z Wu, H Zhang, T Li, Y Meng, L Wang, W Lin, D Shen, ...
Proceedings of the National Academy of Sciences 116 (32), 15855-15860, 2019
212019
Weakly supervised deep learning for brain disease prognosis using MRI and incomplete clinical scores
M Liu, J Zhang, C Lian, D Shen
IEEE transactions on cybernetics 50 (7), 3381-3392, 2019
192019
Spatial-temporal dependency modeling and network hub detection for functional MRI analysis via convolutional-recurrent network
M Wang, C Lian, D Yao, D Zhang, M Liu, D Shen
IEEE Transactions on Biomedical Engineering 67 (8), 2241-2252, 2019
162019
A deep Boltzmann machine-driven level set method for heart motion tracking using cine MRI images
J Wu, TR Mazur, S Ruan, C Lian, N Daniel, H Lashmett, L Ochoa, I Zoberi, ...
Medical image analysis 47, 68-80, 2018
142018
Treatment outcome prediction for cancer patients based on radiomics and belief function theory
J Wu, C Lian, S Ruan, TR Mazur, S Mutic, MA Anastasio, PW Grigsby, ...
IEEE transactions on radiation and plasma medical sciences 3 (2), 216-224, 2018
122018
Outcome prediction in tumour therapy based on Dempster-Shafer theory
C Lian, S Ruan, T Denœux, P Vera
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 63-66, 2015
112015
Multimodality semantic segmentation based on polarization and color images
F Wang, S Ainouz, C Lian, A Bensrhair
Neurocomputing 253, 193-200, 2017
102017
Deep multi-scale mesh feature learning for automated labeling of raw dental surfaces from 3D intraoral scanners
C Lian, L Wang, TH Wu, F Wang, PT Yap, CC Ko, D Shen
IEEE transactions on medical imaging 39 (7), 2440-2450, 2020
92020
Robust cancer treatment outcome prediction dealing with small-sized and imbalanced data from FDG-PET images
C Lian, S Ruan, T Denœux, H Li, P Vera
International Conference on medical image computing and computer-assisted …, 2016
92016
MeshSNet: Deep multi-scale mesh feature learning for end-to-end tooth labeling on 3D dental surfaces
C Lian, L Wang, TH Wu, M Liu, F Durán, CC Ko, D Shen
International Conference on Medical Image Computing and Computer-Assisted …, 2019
72019
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Articles 1–20