Programme
MICCAI 2017 Workshop on Computational Diffusion MRI
Keynote Lecture 1
| 8:00–9:00 | Multidimensional Diffusion MRI Daniel Topgaard Lund University, Sweden |
Oral Session 1
| 9:00–9:20 | (k, q)-Compressed Sensing for dMRI with Joint Spatial-Angular Sparsity Prior Evan Schwab et al. Johns Hopkins University, USA |
| 9:20–9:40 | Spatio-Temporal dMRI Acquisition Design: Reducing the Number of qτ Samples Through a Relaxed Probabilistic Model Patryk Filipiak et al. Université Côte d’Azur – Inria Sophia Antipolis-Méditerranée, France |
| 9:40–10:00 | A generalized SMT-based framework for Diffusion MRI microstructural model estimation Mauro Zucchelli et al. University of Verona, Italy |
Coffee Break
| 10:00–10:30 |
Keynote Lecture 2
| 10:30–11:30 | Translating Diffusion MRI Quantitative Imaging Biomarkers to Clinical Practice: Potential and Challenges Wiro Niessen Erasmus MC & Delft University of Technology, The Netherlands |
Oral Session 2
| 11:30–12:30 | MICCAI Challenge on Diffusion MRI Data Harmonisation |
Lunch
| 12:30–13:30 |
Keynote Lecture 3
| 13:30–14:30 | Diffusion MRI Acquisition Considerations Beyond Gradient Directions and b-Value Christian Beaulieu University of Alberta, Canada |
Oral Session 3
| 14:30–14:50 | Fiber-Flux Diffusion Density for White Matter Tracts Analysis: Application to Mild Anomalies Localization in Contact Sports Players Itay Benou et al. Ben-Gurion University of the Negev, Israel |
| 14:50–15:10 | Learning a single step of streamline tractography based on neural networks* Daniel Jörgens et al. KTH Royal Institute of Technology, Sweden |
| 15:10–15:30 | A Sheet Probability Index from Diffusion Tensor Imaging* Michael Ankele & Thomas Schultz University of Bonn, Germany |
Coffee Break
| 15:30–16:00 |
Oral Session 4
| 16:00–16:20 | Diffeomorphic Registration of Diffusion Mean Apparent Propagator Fields using Dynamic Programming on a Minimum Spanning Tree* Kévin Ginsburger et al. CEA DRF/ISVFJ/Neurospin/UNIRS, France |
| 16:20–16:40 | Brain Parcellation and Connectivity Mapping using Wasserstein Geometry* Hamza Farooq et al. University of Minnesota, USA |
Poster Session
| 16:40–17:30 | Recovering Missing Connections in Diffusion Weighted MRI Using Matrix Completion Chendi Wang et al. University of British Columbia, Canada |
| Multi-modal analysis of genetically-related subjects using SIFT descriptors in brain MRI Kuldeep Kumar et al. École de Technologie Supérieure, Canada |
|
| Diffusion Specific Segmentation: Skull Stripping With Diffusion MRI Data Alone Robert I. Reid et al. Mayo Foundation for Medical Education and Research, USA |
|
| Diffusion Orientation Histograms (DOH) for Diffusion Weighted Image Analysis Laurent Chauvin et al. École de Technologie Supérieure, Canada |
|
| Exploiting machine learning principles for assessing the fingerprinting potential of connectivity features Silvia Obertino et al. University of Verona, Italy |
|
| Probabilistic tractography for complex fiber orientations with automatic model selection Edwin Versteeg et al. Delft University of Technology, The Netherlands |
Social Event
The workshop will conclude with a social event at Les 3 Brasseurs in the evening. Google Map: 650 Grande Allée Est, Québec City, QC G1R 2K5, Canada.
* These papers will also be presented as posters.