Pseudo CT Estimation using Patch-based Joint Dictionary Learning
暂无分享,去创建一个
Yang Lei | Sibo Tian | Tian Liu | Xiaofeng Yang | Hui-Kuo Shu | Hui Mao | Tonghe Wang | Hyunsuk Shim | Walter J. Curran
[1] Mattias P. Heinrich,et al. Multi-Atlas Based Pseudo-CT Synthesis Using Multimodal Image Registration and Local Atlas Fusion Strategies , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[2] Tian Liu,et al. Improving image quality of cone-beam CT using alternating regression forest , 2018, Medical Imaging.
[3] J. A. Noble,et al. Investigation of the Role of Feature Selection and Weighted Voting in Random Forests for 3-D Volumetric Segmentation , 2014, IEEE Transactions on Medical Imaging.
[4] Benyong Liu,et al. Image Denoising and Magnification via Kernel Fitting and Modified SVD , 2009, 2009 Fifth International Conference on Information Assurance and Security.
[5] Yves Grandvalet,et al. Sparse conditional logistic regression for analyzing large-scale matched data from epidemiological studies: a simple algorithm , 2015, BMC Bioinformatics.
[6] Wotao Yin,et al. Group sparse optimization by alternating direction method , 2013, Optics & Photonics - Optical Engineering + Applications.
[7] Hakan Bagci,et al. Nonlinear microwave imaging using Levenberg-Marquardt method with iterative shrinkage thresholding , 2014, 2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium).
[8] Nguyen Thanh Binh,et al. Edge detection based on Fuzzy C Means in medical image processing system , 2017, 2017 International Conference on System Science and Engineering (ICSSE).
[9] Dinggang Shen,et al. Reconstruction of 7T-Like Images From 3T MRI , 2016, IEEE Transactions on Medical Imaging.
[10] Delu Zeng,et al. A novel nonlocal MRI reconstruction algorithm with patch-based low rank regularization , 2015, 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP).
[11] Xiangtao Zheng,et al. Joint Dictionary Learning for Multispectral Change Detection , 2017, IEEE Transactions on Cybernetics.
[12] Shutao Li,et al. Group-Sparse Representation With Dictionary Learning for Medical Image Denoising and Fusion , 2012, IEEE Transactions on Biomedical Engineering.
[13] Yaozong Gao,et al. Estimating CT Image From MRI Data Using Structured Random Forest and Auto-Context Model , 2016, IEEE Transactions on Medical Imaging.
[14] J. Edmund,et al. Patch-based generation of a pseudo CT from conventional MRI sequences for MRI-only radiotherapy of the brain. , 2015, Medical physics.
[15] Slobodan Devic,et al. MRI simulation for radiotherapy treatment planning. , 2012, Medical physics.
[16] Hamid R. Tizhoosh,et al. Medical Image Classification via SVM Using LBP Features from Saliency-Based Folded Data , 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).
[17] Jorge S. Marques,et al. 3D brain image-based diagnosis of Alzheimer's disease: Bringing medical vision into feature selection , 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).
[18] Ling Shao,et al. Simultaneous Super-Resolution and Cross-Modality Synthesis of 3D Medical Images Using Weakly-Supervised Joint Convolutional Sparse Coding , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[19] I. Sechopoulos,et al. Cupping artifact correction and automated classification for high-resolution dedicated breast CT images. , 2012, Medical physics.
[20] Bin Song,et al. Compressed sensing with partial support information: coherence-based performance guarantees and alternative direction method of multiplier reconstruction algorithm , 2014, IET Signal Process..
[21] Anestis Antoniadis,et al. A sparse version of the ridge logistic regression for large-scale text categorization , 2011, Pattern Recognit. Lett..
[22] Emmanuel J. Candès,et al. A Singular Value Thresholding Algorithm for Matrix Completion , 2008, SIAM J. Optim..
[23] Adam Johansson,et al. Improved quality of computed tomography substitute derived from magnetic resonance (MR) data by incorporation of spatial information – potential application for MR-only radiotherapy and attenuation correction in positron emission tomography , 2013, Acta oncologica.
[24] Yang Lei,et al. Pseudo CT estimation from MRI using patch-based random forest , 2017, Medical Imaging.
[25] Xiaohua Zhu,et al. MRI-Driven PET Image Optimization for Neurological Applications , 2019, Front. Neurosci..
[26] Shu Liao,et al. Sparse Patch-Based Label Propagation for Accurate Prostate Localization in CT Images , 2013, IEEE Transactions on Medical Imaging.
[27] Myeongsu Kang,et al. Fuzzy C-means clustering with spatially weighted information for medical image segmentation , 2014, 2014 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP).
[28] Vipin Chaudhary,et al. Composite features for automatic diagnosis of intervertebral disc herniation from lumbar MRI , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[29] Cuntai Guan,et al. Compressed sensing MRI with total variation and frame balanced regularization , 2017, 2017 IEEE 2nd International Conference on Signal and Image Processing (ICSIP).
[30] Yang Lei,et al. ePoster SessionsA Learning-Based Approach to Derive Electron Density from Anatomical MRI for Radiation Therapy Treatment Planning , 2017 .
[31] Alexander Hammers,et al. Evaluation of several multi-atlas methods for PSEUDO-CT generation in brain MRI-PET attenuation correction , 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).
[32] Habib Zaidi,et al. MRI-based pseudo-CT generation using sorted atlas images in whole-body PET/MRI , 2014, 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
[33] Ling Shao,et al. Cross-Modality Image Synthesis via Weakly Coupled and Geometry Co-Regularized Joint Dictionary Learning , 2018, IEEE Transactions on Medical Imaging.
[34] Aimin Hao,et al. Multi-scale, multi-level, heterogeneous features extraction and classification of volumetric medical images , 2013, 2013 IEEE International Conference on Image Processing.
[35] Tian Liu,et al. MRI-based Treatment Planning for Proton Radiotherapy: Dosimetric Validation of a Deep Learning-based Liver Synthetic CT Generation Method , 2019, Physics in medicine and biology.
[36] Ender M. Eksioglu,et al. Decoupled Algorithm for MRI Reconstruction Using Nonlocal Block Matching Model: BM3D-MRI , 2016, Journal of Mathematical Imaging and Vision.
[37] Hans Herzog,et al. Skull segmentation of UTE MR images by probabilistic neural network for attenuation correction in PET/MR , 2013 .
[38] Baowei Fei,et al. A wavelet multiscale denoising algorithm for magnetic resonance (MR) images , 2011, Measurement science & technology.
[39] Xiaofeng Yang,et al. A MR Brain Classification Method Based on Multiscale and Multiblock Fuzzy C-Means , 2011, 2011 5th International Conference on Bioinformatics and Biomedical Engineering.