近期论文
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期刊文章
1、Tong Tong, Iman Aganj, Tian Ge, Jonathan R Polimeni, Bruce Fischl. Functional Density and Edge Maps: Characterizing Functional Architecture in Individuals and Improving Cross-subject Registration. NeuroImage, 2017.
2、Lisa M. Koch, Martin Rajchl, Wenjia Bai, Christian F. Baumgartner, Tong Tong, Jonathan Passerat-Palmbach, Paul Aljabar, Daniel Rueckert. Multi-atlas segmentation using partially annotated data: Methods and annotation strategies. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017.
3、Antti Tolonen, Hanneke F. M. Rhodius-Meester, Marie Bruun, Juha Koikkalainen, Frederik Barkhof, Afina W. Lemstra, Teddy Koene, Philip Scheltens, Charlotte E. Teunissen, Tong Tong, Ricardo Guerrero, Andreas Schuh, Christian Ledig, Marta Baroni, Daniel Rueckert, Hilkka Soininen, Anne M. Remes, Gunhild Waldemar, Steen Gregers Hasselbalch, Patrizia Mecocci, Wiesje M. van der Flier, Jyrki Lötjönen. Data-driven differential diagnosis of neurodegenerative diseases. Frontiers in Aging Neuroscience 2018.
4、Tong Tong, Christian Ledig, Ricardo Guerrero, Andreas Schuh, Juha Koikkalainen, Antti Tolonen, Hanneke Rhodius, Frederik Barkhof, Betty Tijms, Afina W Lemstra, Hilkka Soininen, Anne M Remes, Gunhild Waldemar, Steen Hasselbalch, Patrizia Mecocci, Marta Baroni, Jyrki Lötjönen, Wiesje van der Flier, Daniel Rueckert. Five-class Differential Diagnosis of Neurodegenerative Diseases using Random Undersampling Boosting. NeuroImage Clinical 2017.
5、Qinquan Gao, Shaohui Lin, Penggang Bai, Min Du, Xiaolei Ni, Dongzhong Ke,Tong Tong*. FZUImageReg: A Toolbox for Medical Image Registration and Dose Fusion in Cervical Cancer Radiotherapy. Plos One, 2017
6、Fahdi Kanavati, Tong Tong, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Daniel Rueckert, Ben Glocker. Supervoxel Classification Forests for Estimating Pairwise Image Correspondences. Pattern Recognition, 2017.
7、Tong Tong, Katherine Grey, Qinquan Gao, Liang Chen, Daniel. Rueckert. Multi-Modal Graph Fusion for diagnosis of Alzheimer’s Disease. Pattern Recognition, 2017.
8、Ricardo Guerrero, Alexander Schmidt-Richberg, Christian Ledig, Tong Tong, Robin Wolz, Daniel Rueckert. Instantiated mixed effects modeling of Alzheimer’s disease markers. NeuroImage, 2016.
9、Bin Chen,Yang Chen, Zhuhong Shao, Tong Tong, Limin Luo. Blood vessel enhancement via multi-dictionary and sparse coding: Application to retinal vessel enhancing. Neurocomputing, 2016.
10、Tong Tong, Qinquan Gao, Ricardo Guerrero, Christian Ledig, Liang Chen, Daniel Rueckert. A Novel Grading Biomarker for the Prediction of Conversion from MCI to AD. IEEE Transaction on Biomedical Engineering, 2016.
11、Juha Koikkalainen, Hanneke Rhodius-Meester, Antti Tolonena, Frederik Barkhofc, Betty Tijms, Afina W. Lemstra, Tong Tong, Ricardo Guerrero, Andreas Schuh, Christian Ledig, Daniel Rueckert, Hilkka Soininen, Anne M. Remes, Gunhild Waldemar, Steen Hasselbalch, Patrizia Mecocci, Wiesje van der Flier, Jyrki Lötjönen. “Differential diagnosis of neurodegenerative diseases using structural MRI data” , NeuroImage: Clinical 2016
12、Tong Tong, Robin Wolz, Zehan Wang, Qinquan Gao, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Joseph V. Hajnal, and Daniel Rueckert. “Discriminative Dictionary Learning for Abdominal Multi-Organ Segmentation” , Medical Image Analysis 2015
13、E. Bron, M. Smits, W. M van der Flier, H. Vrenken, F. Barkhof, P. Scheltens, J. M Papma, R. M Steketee, C. M. Orellana, R. Meijboom, M. Pinto, J. R Meireles, C. Garrett, A. J Bastos-Leite, A. Abdulkadir, O. Ronneberger, N. Amoroso, R. Bellotti, D. Cárdenas-Peña, A. M Álvarez-Meza, C. V Dolph, K. M Iftekharuddin, S. F Eskildsen, P. Coupé, V. S Fonov, K. Franke, C. Gaser, C. Ledig; R. Guerrero, T. Tong, K. R Gray, E. Moradi, J. Tohka, A. Routier, S. Durrleman, A. Sarica, G. Di Fatta, F. Sensi, A. Chincarini, G. M Smith, Z. V Stoyanov, L. Sørensen, M. Nielsen, S. Tangaro, P. Inglese, C. Wachinger, M. Reuter, J. C van Swieten, W. J Niessen, S. Klein. Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge. NeuroImage, 2015
14、Tong Tong, Robin Wolz, Qinquan Gao, Ricardo Guerrero, Joseph V. Hajnal, and Daniel Rueckert. “Multiple Instance Learning for Classification of Dementia in Brain MRI”, Medical Image Analysis 2014.
15、Wenjia Bai, Wenzhe Shi, Declan O’Regan, Tong Tong, Haiyan Wang, Shahnaz Jamil-Copley, Nicholas S. Peters and Daniel Rueckert. “A Probabilistic Patch-Based Label Fusion Modelfor Multi-Atlas Segmentation with Registration Refinement: Application to Cardiac MR Images”, IEEE Trans. On Medical Imaging, 2013.
16、Tong Tong, Robin Wolz, Pierrick Coupé, Joseph V. Hajnal, Daniel Rueckert, and ADNI. “Segmentation of MR images via Discriminative Dictionary Learning and Sparse Coding: Application to Hippocampus Labeling”, NeuroImage 2013.
四、会议论文
1、T. Tong, G. Li, X. Liu, Q. Gao. Image Super-Resolution Using Dense Skip Connections. International Conference on Computer Vision (ICCV 2017)
2、L. Chen, T. Tong, C. Ho, R. Patel, D. Cohen, A. Dawson, O. Halse, O. Geraghty, P. Rinne, C. White, T. Nakornchai, P. Bentley, D. Rueckert. Identification of Cerebral Small Vessel Disease Using Multiple Instance Learning. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2015)
3、F. Kanavati, T. Tong, K. Misawa, M. Fujiwara, K. Mori, D. Rueckert, B. Glocker. Supervoxel Classification Forests for Estimating Pairwise Image Correspondences. MICCAI workshop on Machine Learning in Medical Imaging, 2015 (MLMI 2015)
4、T. Tong, K. Grey, Q. Gao, L. Chen, D. Rueckert. Nonlinear Graph Fusion for Multi-Modal Classification of Alzheimer’s Disease. MICCAI workshop on Machine Learning in Medical Imaging, 2015 (MLMI 2015)
5、Lisa Koch, Martin Rajchl, Tong Tong, Jonathan Passerat-Palmbach, Paul Aljabar, Daniel Rueckert, "Multi-Atlas Segmentation as a Graph Labelling Problem: Application to Partially Annotated Atlas Data". Information Processing in Medical Imaging (IPMI 2015)
6、Tong Tong, Qinquan. Gao. Extraction of Features from Patch Based Graphs for the Prediction of Disease Progression in AD. International Conference on Intelligent Computing (ICIC2015)
7、C. Ledig, R. Guerrero, T. Tong, K. Gray, A. Schmidt-Richberg, A. Makropoulos, R. A. Heckemann, and D. Rueckert, "Alzheimer’s disease state classification using structural volumetry, cortical thickness and intensity features" MICCAI workshop Challenge on Computer-Aided Diagnosis of Dementia based on structural MRI data. 2014 (3rd Place)
8、Qinquan Gao, Tong Tong, Daniel Rueckert, Philip `Eddie’ Edwards. "Multi-Atlas Propagation Via a Manifold Graph on a Database of Both Labeled and Unlabeled Images". SPIE Medical Imaging: Computer-Aided Diagnosis 2014.
9、Qinquan Gao, Akshay Asthana, Tong Tong, Daniel Rueckert, Philip "Eddie" Edwards. "Multi-scale Feature Learning on Pixel and Superpixel for Seminal Vesical MRI Segmentation". SPIE Medical Imaging: Image processing 2014
10、Qinquan Gao, Akshay Asthana, Tong Tong, Yipeng Hu, Daniel Rueckert, Philip "Eddie" Edwards. "Hybrid Decision Forests for Prostate Segmentation in Multi-channel MR Images", ICPR 2014.
11、Tong Tong, Robin Wolz, Qinquan Gao, Joseph V. Hajnal, and Daniel Rueckert. “Multiple Instance Learning for Classification of Dementia in Brain MRI”, MICCAI 2013.
12、Kai-Pin Tung, Wenjia Bai, Wenzhe Shi, Haiyan Wang, Tong Tong, Ranil De Silva, Philip Edwards, Daniel Rueckert. “Multi-Atlas Based Neointima Segmentation in Intravascular Coronary Oct”, ISBI 2013.
13、Tong Tong, Robin Wolz, Joseph V. Hajnal, and Daniel Rueckert. “Segmentation of Brain MR Images via Sparse Patch Representation”, MICCAI 2012 Workshop on Sparsity Techniques in Medical Imaging (STMI 2012).
14、Zehan Wang, Robin Wolz, Tong Tong, Daniel Rueckert. “Spatially Aware Patch-based Segmentation (SAPS): An Alternative Patch-Based Segmentation Framework”, MICCAI 2012 Workshop on Medical Computer Vision (MCV 2012)
15、Yu Qiao, Tong Tong, and Nobuaki Minematsu, “A Study on Bag of Gaussian Model with Application to Voice Conversion”. Interspeech 2011.
16、Tong Tong, Wei Liu, Yufeng Huang, Huanqing Feng, Chuanfu Li, “Combinatorial Streamline Tractography using constrained two-tensor model”, MICCAI 2010 Workshop on Computational Diffusion MRI (CDMRI 2010).
17、Tong Tong, Yufeng Huang, Huanqing Feng, Chuanfu Li, “Automatic Extraction of Three Dimensional Lung Texture Tree from HRCT Images”, 2010 International Conference on Bioinformatics and Biomedical Technology (ICBBT 2010).
18、Yufeng Huang, Tong Tong, Huanqing Feng, Chuanfu Li, “Accelerated Diffeomorphic Non-rigid Image Registration with CUDA Based on Demons Algorithm.” 2010 International Conference on Bioinformatics and Biomedical Engineering (ICBBE 2010)
19、Lina Dong, Xingjia Wang, Tong Tong, Chuanfu Li, Huanqing Feng, “Left Ventricle Segmentation from MSCT Data Based on Random Walks Approach”, 3rd International Congress on Image and Signal Processing (CISP 2010).
20、Xingjia Wang, Lina Dong, Tong Tong, Chuanfu Li, Huanqing Feng, Heqin Zhou, “A Novel Approach for Localization and Extraction of Left Ventricle in MSCT Data”, 3rd International Conference on BioMedical Engineering and Informatics (BMEI 2010).
21、Yufeng Huang, Huanqing Feng, Peng Zhao, Tong Tong, Chuanfu Li, “Automatic Landmark Detection and Norid Registration of Intra-Subject Lung CT Images”, 1st International Conference on Information Science and Engineering (ICISE 2009).
22、Wei Liu, Huanqing Feng, Chuanfu Li, Dehuang Wu,Tong Tong, “Accelerated Detection of Intracranial Space-occupying Lesions with CUDA Based on Statistical Texture Atlas in Brain HRCT”, 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2009).
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