Machine Learning in Medical Imaging
暂无分享,去创建一个
Kenji Suzuki | Qian Wang | Luping Zhou | D. Shen | Q. Wang | Kenji Suzuki | Pingkun Yan | Luping Zhou | Fei Wang | Qian Wang
[1] Harish Bhaskar,et al. Graph Regularized and Locality-Constrained Coding for Robust Visual Tracking , 2017, IEEE Transactions on Circuits and Systems for Video Technology.
[2] Shichao Zhang,et al. Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[3] Bram van Ginneken,et al. Improving airway segmentation in computed tomography using leak detection with convolutional networks , 2017, Medical Image Anal..
[4] Jan Kybic,et al. Binary Pattern Dictionary Learning for Gene Expression Representation in Drosophila Imaginal Discs , 2016, ACCV Workshops.
[5] Tao Yang,et al. Automated classification of neonatal amplitude-integrated EEG based on gradient boosting method , 2016, Biomed. Signal Process. Control..
[6] Paul A. Yushkevich,et al. FAST AUTOMATIC SEGMENTATION OF HIPPOCAMPAL SUBFIELDS AND MEDIAL TEMPORAL LOBE SUBREGIONS IN 3 TESLA AND 7 TESLA T2-WEIGHTED MRI , 2016, Alzheimer's & Dementia.
[7] Thomas Brox,et al. 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation , 2016, MICCAI.
[8] Eric A. Hoffman,et al. A robust and efficient curve skeletonization algorithm for tree-like objects using minimum cost paths , 2016, Pattern Recognit. Lett..
[9] David J. Kriegman,et al. Dense Volume-to-Volume Vascular Boundary Detection , 2016, MICCAI.
[10] Qian Xie,et al. Automatic stage identification of Drosophila egg chamber based on DAPI images , 2016, Scientific Reports.
[11] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Jan Kybic,et al. Supertexton-based segmentation in early Drosophila oogenesis , 2015, 2015 IEEE International Conference on Image Processing (ICIP).
[13] Jayaram K. Udupa,et al. A hybrid method for airway segmentation and automated measurement of bronchial wall thickness on CT , 2015, Medical Image Anal..
[14] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[15] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[16] Florian Jug,et al. Bioimage Informatics in the context of Drosophila research. , 2014, Methods.
[17] Xingyu Wang,et al. Aggregation of Sparse Linear Discriminant analyses for Event-Related potential Classification in Brain-Computer Interface , 2014, Int. J. Neural Syst..
[18] Xingyu Wang,et al. Spatial-Temporal Discriminant Analysis for ERP-Based Brain-Computer Interface , 2013, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[19] Paul A. Yushkevich,et al. Multi-Atlas Segmentation with Joint Label Fusion , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[20] Joachim M. Buhmann,et al. Cardiac LV and RV Segmentation Using Mutual Context Information , 2012, MLMI.
[21] Eric A. Hoffman,et al. Extraction of Airways From CT (EXACT'09) , 2012, IEEE Transactions on Medical Imaging.
[22] Jian Sun,et al. Face Alignment by Explicit Shape Regression , 2012, International Journal of Computer Vision.
[23] María J. Ledesma-Carbayo,et al. Image processing challenges in the creation of spatiotemporal gene expression atlases of developing embryos , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[24] Marleen de Bruijne,et al. Vessel-guided airway tree segmentation: A voxel classification approach , 2010, Medical Image Anal..
[25] Shaohua Kevin Zhou,et al. Shape regression machine and efficient segmentation of left ventricle endocardium from 2D B-mode echocardiogram , 2010, Medical Image Anal..
[26] Xiaodong Wu,et al. LOGISMOS—Layered Optimal Graph Image Segmentation of Multiple Objects and Surfaces: Cartilage Segmentation in the Knee Joint , 2010, IEEE Transactions on Medical Imaging.
[27] Mert R. Sabuncu,et al. A Generative Model for Image Segmentation Based on Label Fusion , 2010, IEEE Transactions on Medical Imaging.
[28] Pietro Perona,et al. Cascaded pose regression , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[29] Ian M. Dobbie,et al. Isolation of Drosophila egg chambers for imaging. , 2010, Cold Spring Harbor protocols.
[30] Vincent Lepetit,et al. Fast Ray features for learning irregular shapes , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[31] G. Wright,et al. Evaluation Framework for Algorithms Segmenting Short Axis Cardiac MRI. , 2009, The MIDAS Journal.
[32] G. Rubin,et al. Global analysis of patterns of gene expression during Drosophila embryogenesis , 2007, Genome Biology.
[33] Michael Elad,et al. Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries , 2006, IEEE Transactions on Image Processing.
[34] Xiaoli Yang,et al. Watershed segmentation for binary images with different distance transforms , 2004, Proceedings. Second International Conference on Creating, Connecting and Collaborating through Computing.
[35] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[36] David T. Gering,et al. Automatic Segmentation of Cardiac MRI , 2003, MICCAI.
[37] Olga Veksler,et al. Fast approximate energy minimization via graph cuts , 2001, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[38] J. Friedman. Greedy function approximation: A gradient boosting machine. , 2001 .
[39] Milan Sonka,et al. Multistage hybrid active appearance model matching: segmentation of left and right ventricles in cardiac MR images , 2001, IEEE Transactions on Medical Imaging.
[40] Hans-Peter Kriegel,et al. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.
[41] Timothy F. Cootes,et al. Active Shape Models-Their Training and Application , 1995, Comput. Vis. Image Underst..
[42] P. Paré,et al. Small airways dimensions in asthma and in chronic obstructive pulmonary disease. , 1993, The American review of respiratory disease.
[43] 刘明霞. View-centralized multi-atlas classification for Alzheimer's disease diagnosis , 2015 .
[44] G. McNeil,et al. Drosophila Oogenesis , 2015, Methods in Molecular Biology.
[45] Daniel Rueckert,et al. Right ventricle segmentation from cardiac MRI: A collation study , 2015, Medical Image Anal..
[46] C. Davatzikos,et al. Multi-Atlas Segmentation of the Cardiac MR Right Ventricle , 2012 .
[47] Max A. Viergever,et al. elastix: A Toolbox for Intensity-Based Medical Image Registration , 2010, IEEE Transactions on Medical Imaging.
[48] B. Ginneken,et al. Automatic segmentation of the airway tree from thoracic CT scans using a multi-threshold approach , 2009 .
[49] J. Reinhardt,et al. Airway Segmentation Framework for Clinical Environments , 2009 .
[50] R. Halír. Numerically Stable Direct Least Squares Fitting of Ellipses , 1998 .