Programme
MICCAI 2018 Workshop on Computational Diffusion MRI
CDMRI includes the Multi-shell diffusion MRI harmonisation and enhancement challenge (MUSHAC)
Both will be held in Room Andalucia 2, Palacio de Congresos de Granada
CDMRI and MUSHAC are endorsed by the International Society for Magnetic Resonance in Medicine (ISMRM) and are sponsored by MICCAI, Restaurante Oliver Granada, NVIDIA and Siemens Healthineers
Registration (8.30 – 9.30)
8.30 – 9.30 | Registration (main conference desks) |
Welcome (9.30 – 9.35)
9.30 – 9.35 | Welcome from the CDMRI'18 and MUSHAC Organisers |
Keynote Lecture 1 (9.35 – 10.15)
9.35 – 10.15 | "Towards optimal sampling in diffusion MRI" Hans Knutsson Linköping University, Sweden |
Oral Session 1 (10.15 – 11.00)
10.15 – 10.30 | "Joint image reconstruction and phase corruption maps estimation in multi-shot echo planar imaging" Iñaki Rabanillo et al. University of Valladolid, Spain |
10.30 – 10.45 | “A novel spatial-angular domain regularisation approach for restoration of diffusion MRI” Alessandro Mella et al. University of Bologna, Italy |
10.45 – 11.00 | “q-space learning with synthesized training data” Chuyang Ye et al. Beijing Institute of Technology, China |
Coffee Break (11.00 – 11.30)
Keynote Lecture 2 (11.30 – 12.15)
11.30 – 12.15 | "Diffusion MRI outside the brain" Rita Nunes Institute of Systems and Robotics, Portugal |
Oral Session 2 (12.15 – 12.45)
12.15 – 12.30 | “A framework for calculating time-efficient diffusion MRI protocols for anisotropic IVIM and an application in the placenta” Paddy Slator et al. University College London, United Kingdom |
12.30 – 12.45 | “Brain connectivity measures via direct sub-Finslerian front propagation on the 5D sphere bundle of positions and directions” Jorg Portegies et al. Eindhoven University of Technology, The Netherlands |
Poster presentations (12.45 – 13.30)
12.45 – 13.30 | Please find the full list of authors and titles at the bottom of this page |
Lunch + Poster viewing (13.30 – 15.00)
Keynote Lecture 3 (15.00 – 15.45)
15.00 – 15.45 | "Current applications and future promises of machine learning in diffusion MRI" Peter Neher DKFZ German Cancer Research Center, Germany |
Oral Session 3 (15.45 – 16.30)
15.45 – 16.00 | "Supervised classification of white matter fibers based on neighborhood fiber orientation distributions using an ensemble of neural networks" Devran Ugurlu et al. Sabancı University, Turkey |
16.00 – 16.15 | "Measures of tractography convergence" Daniel Moyer et al. University of Southern California, United States |
16.15 – 16.30 | "Spherical harmonic residual network for diffusion signal harmonization" Simon Koppers et al. RWTH Aachen University, Germany |
Coffee break (16.30 – 17.00)
MUSHAC Keynote Lectures (17.00 – 17.50)
17.00 – 17.25 | "Challenges, opportunities and clinical applications of data harmonisation in diffusion MRI" Neda Jahanshad University of Southern California, United States |
17.25 – 17.50 | "Retrospective and prospective diffusion MRI data harmonization" Yogesh Rathi Harvard Medical School, United States |
MUSHAC – the Challenge (17.50 – 18.45)
17.50 – 18.00 | Introduction |
18.00 – 18.15 | Teams' Presentations |
18.15 – 18.30 | Challenge results |
18.30 – 18.45 | Panel discussion with Neda Jahanshad and Yogesh Rathi |
Concluding remarks and Prizes (18.45 – 19.00)
Prize for the best...
- Paper: Simon Koppers et al. with "Spherical harmonic residual network for diffusion signal harmonization"
- MUSHAC method: Jaume Coll-Font et al. with the "DIAMOND2" method
- Oral presentation: Daniel Moyer et al. with "Measures of tractography convergence"
- Poster presentation: Santiago Aja-Fernandez et al. with "Return-to-plane probability calculation from single-shell acquisitions"
- MUSHAC team presentation: Suheyla Cetin-Karayuma et al. with the "LinearRISH" method
Social Event (from 20.15 onwards)
The workshop will conclude with a social event at Restaurante Oliver in the evening. Google Maps: Plaza Pescadería 12, 18001 Granada, Spain.
POSTERS
Board CDMRI-1 | "Return-to-plane probability calculation from single-shell acquisitions" Santiago Aja-Fernandez et al. University of Valladolid, Spain |
Board CDMRI-2 | "Orientation-dispersed apparent axon diameter via multi-stage spherical mean optimization" Marco Pizzolato et al. École Polytechnique Fédérale de Lausanne, Switzerland |
Board CDMRI-3 | "A closed-form solution of rotation invariant spherical harmonic features in diffusion MRI" Mauro Zucchelli et al. Inria Sophia Antipolis - Méditerranéé, France |
Board CDMRI-4 | "Inter-scanner harmonization of high angular resolution DW-MRI using null space deep learning" Vishwesh Nath et al. Vanderbilt University, United States |
Board CDMRI-5 | "Graph-based deep learning for prediction of longitudinal infant diffusion MRI data" Jaeil Kim at al. Kyungpook National University, South Korea |
Board CDMRI-6 | "Effects of diffusion MRI model and harmonization on the consistency of findings in an international multi-cohort HIV neuroimaging study" Talia M. Nir et al. University of Southern California, United States |
Board CDMRI-7 | "Inference of an extended short fiber bundle atlas using sulcus-based inter-subject alignment" Nicole Labra Avila et al. Neurospin CEA, France |
Board CDMRI-8 | "Resolving the crossing/kissing fiber ambiguity using functionally informed COMMIT" Matteo Frigo et al. Inria Sophia Antipolis - Méditerranéé, France |
Board CDMRI-9 | "Voxel-wise characterization of neural tracts using tractography data" Irene Brusini et al. KTH Royal Institute of Technology, Sweden |
Board CDMRI-10 | "Obtaining representative core streamlines for white matter tractometry of the human brain" Maxime Chamberland et al. Cardiff University Brain Research Imaging Centre (CUBRIC), United Kingdom |
Board CDMRI-11 | "Longitudinal harmonization for improving tractography in baby diffusion MRI" Khoi Huynh et al. University of North Carolina, United States |
Board CDMRI-12 | "Improving graph-based tractography plausibility using microstructure information" Matteo Battocchio et al. University of Verona, Italy |
Board CDMRI-13 | "Dmipy, a diffusion microstructure imaging toolbox in Python to improve research reproducibility" Abib O.Y. Alimi et al. University of Côte d'Azur, France |
Board CDMRI-14 | "Deterministic group tractography with local uncertainty quantification" Andreas Nugaard Holm et al. University of Copenhagen, Denmark |
Board CDMRI-15 | "Spatial characterisation of fibre response functions for spherical deconvolution in multiple sclerosis" Carmen Tur et al. University College London, United Kingdom |
Board CDMRI-16 | "Edge weights and network properties in multiple sclerosis" Elizabeth Powell et al. University College London, United Kingdom |
Board CDMRI-17 | "Tissue segmentation using sparse non-negative matrix factorization of spherical mean DMRI data" Peng Sun et al. University of North Carolina, United States |