Tong Tong (童同)
Tong Tong (童同)
Imperial Vision Technology/ Fuzhou University
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Image Super-Resolution Using Dense Skip Connections
T Tong, G Li, X Liu, Q Gao
IEEE International Conference on Computer Vision (ICCV), 4799-4807, 2017
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge
EE Bron, M Smits, WM Van Der Flier, H Vrenken, F Barkhof, P Scheltens, ...
NeuroImage 111, 562-579, 2015
Segmentation of MR images via Discriminative Dictionary Learning and Sparse Coding: Application to Hippocampus Labeling
T Tong, R Wolz, P Coupé, JV Hajnal, D Rueckert
NeuroImage, 2013
A Probabilistic Patch-Based Label Fusion Model for Multi-Atlas Segmentation with Registration Refinement: Application to Cardiac MR Images
W Bai, W Shi, DP O'Regan, T Tong, H Wang, S Jamil-Copley, NS Peters, ...
IEEE Trans Med Imaging, 1-1, 2013
Multiple instance learning for classification of dementia in brain MRI
T Tong, R Wolz, Q Gao, R Guerrero, JV Hajnal, D Rueckert
Medical Image Analysis 18 (5), 808–818, 2014
Convolutional neural networks-based MRI image analysis for the Alzheimer’s disease prediction from mild cognitive impairment
W Lin, T Tong, Q Gao, D Guo, X Du, Y Yang, G Guo, M Xiao, M Du, X Qu, ...
Frontiers in neuroscience 12, 777, 2018
Multi-modal classification of Alzheimer's disease using nonlinear graph fusion
T Tong, K Gray, Q Gao, L Chen, D Rueckert, ...
Pattern recognition 63, 171-181, 2017
Discriminative dictionary learning for abdominal multi-organ segmentation
T Tong, R Wolz, Z Wang, Q Gao, K Misawa, M Fujiwara, K Mori, JV Hajnal, ...
Medical image analysis 23 (1), 92-104, 2015
Differential diagnosis of neurodegenerative diseases using structural MRI data
J Koikkalainen, H Rhodius-Meester, A Tolonen, F Barkhof, B Tijms, ...
NeuroImage: Clinical 11, 435-449, 2016
A Novel Grading Biomarker for the Prediction of Conversion from Mild Cognitive Impairment to Alzheimer's Disease
T Tong, Q Gao, R Guerrero, C Ledig, L Chen, D Rueckert
IEEE Transactions on Biomedical Engineering, 2016
Ntire 2018 challenge on image dehazing: Methods and results
C Ancuti, CO Ancuti, R Timofte
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Pirm challenge on perceptual image enhancement on smartphones: Report
A Ignatov, R Timofte, T Van Vu, T Minh Luu, T X Pham, C Van Nguyen, ...
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
Diagnosis of Alzheimer’s disease via multi-modality 3D convolutional neural network
Y Huang, J Xu, Y Zhou, T Tong, X Zhuang, ...
Frontiers in Neuroscience 13, 509, 2019
Instantiated mixed effects modeling of Alzheimer's disease markers
R Guerrero, A Schmidt-Richberg, C Ledig, T Tong, R Wolz, D Rueckert, ...
NeuroImage 142, 113-125, 2016
Supervoxel Classification Forests for Estimating Pairwise Image Correspondences
F Kanavati, T Tong, K Misawa, M Fujiwara, K Mori, D Rueckert, B Glocker
Pattern Recognition 63, 561–569, 2017
Segmentation of Brain MR Images via Sparse Patch Representation
T Tong, R Wolz, JV Hajnal, D Rueckert
MICCAI2012 Workshop -- Sparsity Techniques in Medical Imaging (STMI), 2012
Multi-atlas segmentation using partially annotated data: methods and annotation strategies
LM Koch, M Rajchl, W Bai, CF Baumgartner, T Tong, ...
IEEE transactions on pattern analysis and machine intelligence 40 (7), 1683-1696, 2017
Five-class differential diagnostics of neurodegenerative diseases using random undersampling boosting
T Tong, C Ledig, R Guerrero, A Schuh, J Koikkalainen, A Tolonen, ...
NeuroImage: Clinical 15, 613-624, 2017
Functional density and edge maps: Characterizing functional architecture in individuals and improving cross-subject registration
T Tong, I Aganj, T Ge, JR Polimeni, B Fischl
NeuroImage 158, 346-355, 2017
Blood vessel enhancement via multi-dictionary and sparse coding: Application to retinal vessel enhancing
B Chen, Y Chen, Z Shao, T Tong, L Luo
Neurocomputing 200, 110-117, 2016
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Artiklar 1–20