CDMRI'16
MICCAI 2016 Workshop on
Computational Diffusion MRI
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Keynote Lecture I |
Dmitry Novikov, New York University |
9:00-10:00 |
| Neuronal Microstructure from Imaging in Space and Time | |
Oral Session I |
10:00-10:30 |
| O.1 |
Multi-Spherical Diffusion MRI: Exploring Diffusion Time Using Signal Sparsity |
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Rutger Fick et al. |
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INRIA, France |
| O.2 |
Noise Floor Removal via Phase Correction of Complex Diffusion-Weighted Images: Influence on DTI and q-Space Metrics |
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Marco Pizzolato et al. |
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INRIA, France |
Keynote Lecture II | Kâmil Uğurbil, University of Minnesota |
11:00-12:00 |
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Diffusion MRI and Connectivity in the Human Connectome Project |
Oral Session II |
12:00-12:30 |
| O.3 |
Using Multiple Diffusion MRI Measures to Predict Alzheimer’s Disease with a TV-L1 Prior |
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Julio Villalon-Reina et al. |
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University of Southern California, USA |
| O.4 |
Groupwise Structural Parcellation of the Cortex: A Sound Approach Based on Logistic Models |
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Guillermo Gallardo et al. |
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INRIA, France |
Poster Session |
12:30-13:00 |
Lunch & Posters |
13:00-14:00 |
Keynote Lecture III |
Nikos Makris, Harvard Medical School |
14:00-15:00 |
| How Current Diffusion Imaging Technology Impacts our Understanding of Brain Circuitries and Shapes Neuroscience Research and Clinical Practice | |
Oral Session III |
15:00-15:30 |
| O.5 |
Colocalization of Functional Activity and Neurite Density within Cortical Areas |
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Achille Teillac et al. |
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CEA, France |
| O.6 |
Comparison of Biomarkers in Transgenic Alzheimer Rats Using Multi-shell Diffusion MRI |
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Rutger Fick et al. |
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INRIA, France |
Invited Talk |
Chantal Tax & Tom Dela Haije |
15:30-16:00 |
| Sheet Structure Quantification in the Brain: From Theory to Practice | |
Oral Session IV |
16:30-17:00 |
| O.7 |
Regularized Dictionary Learning with Robust Sparsity Fitting for Compressed Sensing Multishell HARDI |
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Kratika Gupta et al. |
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Indian Institute of Technology, India |
| O.8 |
Denoising Diffusion-Weighted Images Using Grouped Iterative Hard Thresholding of Multi-Channel Framelets |
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Jian Zhang et al. |
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Hunan University of Science & Technology, China |
Panel Discussion |
17:00-17:30 |
| P.1 |
Diffusion MRI Signal Augmentation - From Single Shell to Multi Shell with Deep Learning |
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Simon Koppers et al. |
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RWTH Aachen University, Germany |
| P.2 |
Accurate Diagnosis of SWEDD vs. Parkinson Using Microstructural Changes of Cingulum Bundle: Track-Specific Analysis |
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Farzaneh Rahmani et al. |
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Tehran University of Medical Sciences, Iran |
| P.3 |
Parcellation of Human Amygdala Subfields Using Orientation Distribution Function and Spectral K-Means Clustering |
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Qiuting Wen et al. |
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Indiana University School of Medicine, USA |
| P.4 |
Sparse Representation for White Matter Fiber Compression and Calculation of Inter-Fiber Similarity |
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Gali Zimmerman Moreno et al. |
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Tel Aviv University, Israel |
| P.5 |
Robust Construction of Diffusion MRI Atlases with Correction for Inter-Subject Fiber Dispersion |
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Zhanlong Yang et al. |
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Northwestern Polytechnical University, China |
| P.6 |
Working Memory Function in Recent-Onset Schizophrenia Patients Associated with Measures of White Matter: Connectometry Approach |
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Mahsa Dolatshahi et al. |
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Basir Eye Health Research Center, Iran |
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