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STMI -- MICCAI2012 Workshop

UNC at Chapel Hill. News: Call for paper, Special Issue on Sparse Methods for Signal Reconstruction and Medical Image Analysis. Sparsity based compressive sensing and sparse learning have been widely investigated and applied in machine learning, computer vision, computer graphics and medical imaging. In the medical community, these methods have been used successfully to speed up MR scan time, MR image reconstruction, organ segmentation from CT and MRI and classification methods for diseases. July 25th, 2...

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STMI -- MICCAI2012 Workshop | stmi12.rutgers.edu Reviews

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UNC at Chapel Hill. News: Call for paper, Special Issue on Sparse Methods for Signal Reconstruction and Medical Image Analysis. Sparsity based compressive sensing and sparse learning have been widely investigated and applied in machine learning, computer vision, computer graphics and medical imaging. In the medical community, these methods have been used successfully to speed up MR scan time, MR image reconstruction, organ segmentation from CT and MRI and classification methods for diseases. July 25th, 2...

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organisers,dimitris metaxas,rutgers university,leon axel,nyu medical center,junzhou huang,ut arlington,shaoting zhang,program committee,tsuhan chen,cornell university,james gee,university of pennsylvania,heng huang,xiaolei huang,lehigh university,jim ji

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STMI -- MICCAI2012 Workshop | stmi12.rutgers.edu Reviews

https://stmi12.rutgers.edu

UNC at Chapel Hill. News: Call for paper, Special Issue on Sparse Methods for Signal Reconstruction and Medical Image Analysis. Sparsity based compressive sensing and sparse learning have been widely investigated and applied in machine learning, computer vision, computer graphics and medical imaging. In the medical community, these methods have been used successfully to speed up MR scan time, MR image reconstruction, organ segmentation from CT and MRI and classification methods for diseases. July 25th, 2...

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STMI -- MICCAI2012 Workshop

http://stmi12.rutgers.edu/program.html

UNC at Chapel Hill. 19 accepted papers, out of 37 submissions, will be published in this workshop. All accepted papers will be presented during poster sessions. 9 papers have been selected for an additional 15 minute podium presentation during the 3 plenary oral sessions. The rest 10 papers also have 3-5 minute podium presentation during the 3 spotlight sessions. 08:00 - 18:00 Registration. 09:00 - 09:30 Keynote Lecture. 09:30 - 10:15 Oral Session 1. The Benefit of Tree Sparsity in Accelerated MRI. AEDL ...

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stmi12.rutgers.edu

STMI -- MICCAI2012 Workshop

UNC at Chapel Hill. News: Call for paper, Special Issue on Sparse Methods for Signal Reconstruction and Medical Image Analysis. Sparsity based compressive sensing and sparse learning have been widely investigated and applied in machine learning, computer vision, computer graphics and medical imaging. In the medical community, these methods have been used successfully to speed up MR scan time, MR image reconstruction, organ segmentation from CT and MRI and classification methods for diseases. July 25th, 2...

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