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Auteur : personID (entier) : 906610

Statistical shape and texture model of quadrature phase information for prostate segmentation

Soumya Ghose , Arnau Oliver , Robert Marti , Xavier Llado , Jhimli Mitra et al.
International Journal of Computer Assisted Radiology and Surgery, 2011, http://www.springerlink.com/content/c841254357h734r1/. ⟨10.1007/s11548-011-0616-y⟩
Article dans une revue istex hal-00612739v1
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A boosting approach for prostate cancer detection using multi-parametric MRI

Guillaume Lemaître , Joan Massich , Robert Martí , Jordi Freixenet , Vilanova Joan C et al.
International Conference on Quality Control and Artificial Vision (QCAV) 2015, Jun 2015, Le Creusot, France
Communication dans un congrès hal-01235890v1
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A hybrid framework of multiple active appearance models and global registration for 3D prostate segmentation in MRI.

Soumya Ghose , Arnau Oliver , Robert Marti , Xavier Llado , Jordi Freixenet et al.
SPIE Medical Imaging, Feb 2012, San Diego, United States. pp.83140S1-83140S9
Communication dans un congrès hal-00682035v1
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Spectral clustering to model deformations for fast multimodal prostate registration

Jhimli Mitra , Zoltan Kato , Soumya Ghose , Désiré Sidibé , Robert Marti et al.
IAPR International Conference on Pattern Recognition, Nov 2012, Tsukba, Japan
Communication dans un congrès hal-00710943v1
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A Shape-based Statistical Method to Retrieve 2D TRUS-MR Slice Correspondence for Prostate Biopsy

Jhimli Mitra , Abhilash Srikantha , Désiré Sidibé , Robert Marti , Arnau Oliver et al.
SPIE Medical Imaging, Feb 2012, San Diego, United States. pp.1-9
Communication dans un congrès hal-00658088v1
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Normalization of T2W-MRI Prostate Images using Rician a priori

Guillaume Lemaître , Mojdeh Rastgoo , Joan Massich , Joan Vilanova , Paul Walker et al.
SPIE Medical Imaging, Feb 2016, San Diego, United States
Communication dans un congrès hal-01265774v1
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A Coupled Schema of Probabilistic Atlas and Statistical Shape and Appearance Model for 3D Prostate Segmentation in MR Images

Soumya Ghose , Jhimli Mitra , Arnau Oliver , Robert Marti , Xavier Llado et al.
IEEE ICIP 2012, Sep 2012, United States
Communication dans un congrès hal-00695550v1
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A spline-based non-linear diffeomorphism for multimodal prostate registration

Jhimli Mitra , Zoltan Kato , Robert Marti , Arnau Oliver , Xavier Llado et al.
Medical Image Analysis, 2012
Article dans une revue hal-00695562v1
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Spectral Clustering of Shape and Probability Prior Models for Automatic Prostate Segmentation in Ultrasound Images

Soumya Ghose , Jhimli Mitra , Arnau Oliver , Robert Marti , Xavier Llado et al.
IEEE The Engineering in Medicine and Biology Conference, Aug 2012, San Diego, United States
Communication dans un congrès hal-00710953v1
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B-splines Coupled with Quadrature Texture to Register Prostate Multimodal Images

Jhimli Mitra , Robert Marti , Arnau Oliver , Xavier Llado , Soumya Ghose et al.
International Journal of Computer Assisted Radiology and Surgery, 2011, http://www.springerlink.com/content/t8617114r87j07r8/. ⟨10.1007/s11548-011-0635-8⟩
Article dans une revue istex hal-00612736v1
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A Supervised Learning Framework for Automatic Prostate Segmentation in Trans Rectal Ultrasound Images

Soumya Ghose , Jhimli Mitra , Arnau Oliver , Robert Marti , Xavier Llado et al.
Advanced Concepts for Intelligent Vision Systems, Sep 2012, Brno, Czech Republic
Communication dans un congrès hal-00710948v1
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Graph Cut Energy Minimization in a Probabilistic Learning Framework for 3D Prostate Segmentation in MRI

Soumya Ghose , Jhimli Mitra , Arnau Oliver , Robert Marti , Xavier Llado et al.
IAPR International Conference on Pattern Recognition, Nov 2012, Tsukba, Japan
Communication dans un congrès hal-00710964v1
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Multiple Mean Models of Statistical Shape and Probability Priors for Automatic Prostate Segmentation.

Soumya Ghose , Arnau Oliver , Robert Marti , Xavier Llado , Jordi Freixenet et al.
MICCAI Prostate Cancer Imaging, Sep 2011, Toronto, Canada. pp.35-46
Communication dans un congrès hal-00681463v1
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Joint Probability of Shape and Image Similarities to Retrieve 2D TRUS-MR Slice Correspondence for Prostate Biopsy

Jhimli Mitra , Soumya Ghose , Désiré Sidibé , Robert Marti , Arnau Oliver et al.
IEEE Conference of the Engineering in Medicine and Biology Society, Aug 2012, San Diego, United States
Communication dans un congrès hal-00710941v1
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A Survey of Prostate Segmentation Methodologies in Ultrasound, Magnetic Resonance and Computed Tomography Images

Soumya Ghose , Arnau Oliver , Robert Marti , Xavier Llado , Joan C. Vilanova et al.
Computer Methods and Programs in Biomedicine, 2012
Article dans une revue hal-00695557v1

Supervised Learning Framework of Statistical Shape and Probability Priors for Automatic Prostate Segmentation in Ultrasound Images

Soumya Ghose , Arnau Oliver , Jhimli Mitra , Robert Marti , Xavier Llado et al.
Medical Image Analysis, 2013
Article dans une revue hal-00806583v1
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Statistical Shape and Probability Prior Model for Automatic Prostate Segmentation

Soumya Ghose , Arnau Oliver , Robert Marti , Xavier Llado , Jordi Freixenet et al.
DICTA, Dec 2011, Noosa, Australia. pp.340-345
Communication dans un congrès hal-00682027v1
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A Mumford-Shah Functional based Variational Model with Contour, Shape, and Probability Prior information for Prostate Segmentation

Soumya Ghose , Jhimli Mitra , Arnau Oliver , Robert Marti , Xavier Llado et al.
IAPR International Conference on Pattern Recognition, Nov 2012, Tsukba, Japan
Communication dans un congrès hal-00710957v1
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Weighted Likelihood Function of Multiple Statistical Parameters to Retrieve 2D TRUS-MR Slice Correspondece for Prostate Biopsy

Jhimli Mitra , Soumya Ghose , Désiré Sidibé , Arnau Oliver , Robert Marti et al.
IEEE ICIP 2012, Sep 2012, United States
Communication dans un congrès hal-00695554v1
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A Non-linear Diffeomorphic Framework for Prostate Multimodal Registration

Jhimli Mitra , Zoltan Kato , Robert Marti , Arnau Oliver , Xavier Llado et al.
IEEE International Conference on Digital Image Computing: Techniques and Applications (DICTA), Dec 2011, Noosa, Australia. pp.31-36
Communication dans un congrès hal-00682064v1