Machine Learning in Medical Imaging

[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 .