CDMRI'14
MICCAI 2014 Workshop on
Computational Diffusion MRI
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Welcome and introduction |
8:00-8:15 |
Challenge | SPARC dMRI | 8:15-10:00 |
| Full details here | |
Coffee Break and Posters |
10:00-10:30 |
Keynote Lecture | Carl-Fredrik Westin, Harvard University, USA |
10:30-11:15 |
| Non-conventional diffusion MRI | |
Oral Session I: |
11:15-12:00 |
| 1.1 |
Vector weights and dual graphs: an emphasis on connections in brain network analysis |
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Peter Savadjiev et al |
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Brigham and Women's Hospital, Harvard Medical School, USA |
| 1.2 |
Rich club network analysis shows distinct patterns of disruption in frontotemporal dementia and Alzheimer's disease |
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Madelaine Daianu et al |
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University of Southern California, United States |
Lunch and Posters |
12:00-13:30 |
Oral Session II: |
13:30-15:00 |
| 2.1 |
Multiple stages classification of Alzheimer's disease based on structural brain networks using Generalized Low Rank Approximations (GLRAM) |
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Liang Zhan et al |
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University of California, Los Angeles, USA |
| 2.2 |
The added value of diffusion tensor imaging for automated white matter hyperintensity segmentation |
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Hugo Kuijf et al |
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University Medical Center Utrecht, The Netherlands |
| 2.3 |
Algebraic connectivity of brain networks shows patterns of segregation leading to reduced network robustness in Alzheimer's disease |
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Madelaine Daianu et al |
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University of Southern California, USA |
| 2.4 |
Fiber Bundle Segmentation Using Spectral Embedding and Supervised Learning |
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Dorothee Vercruysse et al |
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KU Leuven, Belgium |
Coffee Break and Posters |
15:00-15:30 |
Oral Session III: |
15:30-17:00 |
| 3.1 |
Atlas-Guided Global Tractography: Imposing a Prior on the Local Track Orientation |
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Daan Christiaens et al |
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KU Leuven, Belgium |
Q-space reconstruction & post-processing |
| 3.2 |
Magnitude and complex based diffusion signal reconstruction |
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Marco Pizzolato et al |
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Athena Project-Team, Inria Sophia Antipolis-Mediterranee, France |
| 3.3 |
Motion is Inevitable: The Impact of Motion Correction Schemes on HARDI Reconstructions |
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Shireen Elhabian et al |
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Scientific Computing and Imaging Institute, University of Utah, USA |
| 3.4 |
Joint Super-Resolution Using Only One Anisotropic Low-Resolution Image per q-Space Coordinate |
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Vladimir Golkov et al |
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Technical University Munich, Germany |
Closing Remarks |
17:00-17:15 |
| 1 |
Bilateral Filtering of Multiple Fiber Orientations in Diffusion MRI
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Ryan Cabeen et al
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Brown University, USA
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| 2 |
Diffusion propagator estimation using Gaussians scattered in q-space
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Lipeng Ning et al
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Harvard Medical School, United States
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| 3 |
Dictionary Based Super-Resolution for Diffusion MRI
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Burak Yoldemir et al
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University of British Columbia, Canada
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| 4 |
Looks Like You Learned: Detecting and Recognizing Training-Induced Changes in White Matter Architecture
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Thomas Schultz et al
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University of Bonn, Germany
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| 5 |
An Analytical 3D Laplacian Regularized SHORE Basis and its Impact on EAP Reconstruction and Microstructure Recovery
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Rutger Fick
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INRIA, France
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| 6 |
Diffusion-Map: A Novel Visualizing Biomarker for Diffusion Tensor Imaging of Human Brain White Matter
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Mohammad Hadi A'arabi et al
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Tehran University of Medical Sciences, Tehran, Iran
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| 7 |
Parcellation-Independent Multi-Scale Framework for Brain Network Analysis
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Markus Schirmer et al
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King's College London, UK
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| 8 |
A Multi-Parametric Diffusion Magnetic Resonance Imaging Texture Feature Model for Prostate Cancer Analysis
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Farzad Khalvati et al
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Sunnybrook Research Institute, Canada
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| 9 |
Predicting poststroke depression from brain connectivity
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Jhimli Mitra et al
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Australian E-Health Research Centre, CSIRO CCI, Australia
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