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Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation

IEEE transactions on pattern analysis and machine intelligence, 2010-10, Vol.32 (10), p.1744-1757

2010

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Cluster-Based Co-Saliency Detection

IEEE transactions on image processing, 2013-10, Vol.22 (10), p.3766-3778

2013

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Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models

IEEE transactions on medical imaging, 2008-04, Vol.27 (4), p.495-508

2008

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Weakly supervised histopathology cancer image segmentation and classification

Medical image analysis, 2014-04, Vol.18 (3), p.591-604

2014

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HFS: Hierarchical Feature Selection for Efficient Image Segmentation

Computer Vision – ECCV 2016, p.867-882

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Image segmentation by data-driven Markov chain Monte Carlo

IEEE transactions on pattern analysis and machine intelligence, 2002-05, Vol.24 (5), p.657-673

2002

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Image Parsing: Unifying Segmentation, Detection, and Recognition

International journal of computer vision, 2005-07, Vol.63 (2), p.113-140

2005

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MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation

2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014, p.256-263

2014

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Affinity learning via self-diffusion for image segmentation and clustering

2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012, p.2312-2319

2012

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Multiple clustered instance learning for histopathology cancer image classification, segmentation and clustering

2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012, p.964-971

2012

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Co-Scale Conv-Attentional Image Transformers

2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021, p.9961-9970

2021

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Deeply Supervised Salient Object Detection with Short Connections

IEEE transactions on pattern analysis and machine intelligence, 2019-04, Vol.41 (4), p.815-828

2019

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Range image segmentation by an effective jump-diffusion method

IEEE transactions on pattern analysis and machine intelligence, 2004-09, Vol.26 (9), p.1138-1153

2004

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Detecting Object Boundaries Using Low-, Mid-, and High-level Information

2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007, p.1-8

2007

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Efficient scale space auto-context for image segmentation and labeling

2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009, p.1810-1817

2009

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Graph-shifts: Natural image labeling by dynamic hierarchical computing

2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008, p.1-8

2008

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An integrated framework for image segmentation and perceptual grouping

Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2005, Vol.1, p.670-677 Vol. 1

Zhuowen Tu

2005

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Symmetry Constraint for Foreground Extraction

IEEE transactions on cybernetics, 2014-05, Vol.44 (5), p.644-654

2014

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Fusing adaptive atlas and informative features for robust 3D brain image segmentation

2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010, p.848-851

2010

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Parsing Images into Regions, Curves, and Curve Groups

International journal of computer vision, 2006-08, Vol.69 (2), p.223-249

2006

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Modeling diffusion-weighted MRI as a spatially variant Gaussian mixture: Application to image denoising

Medical physics (Lancaster), 2011-07, Vol.38 (7), p.4350-4364

2011

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Pictorial multi-atlas segmentation of brain MRI

2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, 2012, p.65-70

2012

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Context-Constrained Multiple Instance Learning for Histopathology Image Segmentation

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012, 2012, Vol.15 (Pt 3), p.623-630

2012

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Sparse semi-supervised learning for perceptual grouping

2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, 2010, p.1-8

2010

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Image parsing: unifying segmentation, detection, and recognition

Proceedings Ninth IEEE International Conference on Computer Vision, 2003, p.18-25 vol.1

2003

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Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation

Cluster-Based Co-Saliency Detection

Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models

Weakly supervised histopathology cancer image segmentation and classification

HFS: Hierarchical Feature Selection for Efficient Image Segmentation

Image segmentation by data-driven Markov chain Monte Carlo

Image Parsing: Unifying Segmentation, Detection, and Recognition

MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation

Affinity learning via self-diffusion for image segmentation and clustering

Multiple clustered instance learning for histopathology cancer image classification, segmentation and clustering

Co-Scale Conv-Attentional Image Transformers

Deeply Supervised Salient Object Detection with Short Connections

Range image segmentation by an effective jump-diffusion method

Detecting Object Boundaries Using Low-, Mid-, and High-level Information

Efficient scale space auto-context for image segmentation and labeling

Graph-shifts: Natural image labeling by dynamic hierarchical computing

An integrated framework for image segmentation and perceptual grouping

Symmetry Constraint for Foreground Extraction

Fusing adaptive atlas and informative features for robust 3D brain image segmentation

Parsing Images into Regions, Curves, and Curve Groups

Modeling diffusion-weighted MRI as a spatially variant Gaussian mixture: Application to image denoising

Pictorial multi-atlas segmentation of brain MRI

Context-Constrained Multiple Instance Learning for Histopathology Image Segmentation

Sparse semi-supervised learning for perceptual grouping

Image parsing: unifying segmentation, detection, and recognition

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