Programme
MICCAI 2019 Workshop on Computational Diffusion MRI
CDMRI includes the Multi-dimensional Diffusion MRI (MUDI) Challenge
CDMRI and MUDI Challenge are endorsed by the International Society for Magnetic Resonance in Medicine (ISMRM) and are sponsored by MICCAI and NVIDIA
Registration (8.00 – 8.20)
8.00 – 8.20 | Registration (main conference desks) |
Welcome (8.20 – 8.30)
8.20 – 8.30 | Welcome from the CDMRI'19 and MUDI Challenge Organisers |
Keynote Lecture 1 (8.30 – 9.00)
8.30 – 9.00 | "Current challenges and future in diffusion MRI" Bennett Landman Vanderbilt University, Tennessee, USA |
Oral Session 1 (9.00 – 9.30)
9.00 – 9.15 | "Alternative Diffusion Anisotropy Metric from Reduced MRI Acquisitions" Santiago Aja-Fernandez et al. University of Valladolid, Spain |
9.15 – 9.30 | “DWI Simulation-assisted machine learning models for microstructure estimation” Jonathan Rafael-Patino et al. École polytechnique fédérale de Lausanne, Switzerland |
Coffee Break (9.30 – 10.00)
Keynote Lecture 2 (10.00 – 10.30)
10.00 – 10.30 | "Processing with Directions: On Quantifying Local Geometric Structures of White Matter" Jian Cheng Beihang University, Beijing, China |
Oral Session 2 (10.30 – 11.30)
10.30 – 10.50 | “A framework to construct a longitudinal DW-MRI infant atlas based on mixed effects modeling of dODF coeffcients” Heejong Kim et al. New York University, USA |
10.50 – 11.10 | “Optimized response function estimation for spherical deconvolution” Tom Dela Haije et al. University of Copenhagen, Denmark |
11.10 – 11.30 | “Optimal Fiber Diffusion Model Restoration” Clint Greene et al. UCSB, USA |
Poster presentations/competition (11.30 – 12.30)
11.30 – 12.30 | Please find the full list of authors and titles at the bottom of this page |
Lunch + Poster viewing (12.30 – 14.00)
Keynote Lecture 3 (14.00 – 14.30)
14.00 – 14.30 | "Microstructure imaging: computational models and machine learning" Daniel Alexander University College London, London, United Kingdom |
Oral Session 3 (14.30 – 15.00)
14.30 – 14.45 | "q-Space Novelty Detection with Variational Autoencoders" Aleksei Vasilev et al. Technical University of Munich, Germany |
14.45 – 15.00 | "Convolutional neural networks for fiber orientation distribution enhancement to improve single-shell Diffusion MRI tractography" Oeslle Lucena et al. King's College London, United Kingdom |
Keynote Lecture 4 (15.00 – 15.30)
15.00 – 15.30 | "Connectome 2.0: Cutting-edge hardware brings new opportunities for computational diffusion MRI" Anastasía Yendiki Harvard Medical School, Cambridge, USA |
Coffee break (15.30 – 16.30)
Keynote Lecture 5 (16.30 – 17.00)
16.30 – 17.00 | "Bringing diffusion-relaxometry correlation methods from porous media NMR to clinical MRI" Daniel Topgaard Lund University, Lund, Sweden |
MUDI – the Challenge (17.00 – 18.15)
17.00 – 17.10 | Introduction |
17.10 – 17.25 | Teams' Presentations |
17.25 – 17.45 | Challenge results |
17.45 – 18.00 | Discussion |
Concluding remarks and Prizes (18.00 – 18.15)
Prize for the best...
- Paper: Tom Dela Haije et al. for "Optimized response function estimation for spherical deconvolution".
- MUDI method: Francesco Grussu et al. for "Select And Retrieve for Direct Upsampling network (SARDU-net)".
- Oral presentation: Heejong Kim for "A framework to construct a longitudinal DW-MRI infant atlas based on mixed effects modeling of dODF coefficients".
- Poster presentation: Fangrong Song for "Diffusion anisotropy identification by short diffusion-diffusion correlation spectroscopy".
- MUDI team presentation: Lipeng Ning et al. for "RElaxation-Diffusion Imaging Moments (REDIM) to probe neurite microstructure".
Social Event (from 20.00 onwards)
The workshop will conclude with a social event, venue TBC
POSTERS
Board CDMRI-1 | "Spatial sparse estimation of fiber orientation distribution using deep alternating directions method of multipliers network" Ridho Akbar et al. Zhejiang University of Technology, China |
Board CDMRI-2 | "Free-Water Correction in Diffusion MRI: A Reliable and Robust Learning Approach" Leon Weninger et al. RWTH Aachen University, Germany |
Board CDMRI-3 | "Alternative Diffusion Anisotropy Metric from Reduced MRI Acquisitions" Santiago Aja-Fernandez et al. Universidad de Valladolid, Spain |
Board CDMRI-4 | "Convolutional neural networks for fiber orientation distribution enhancement to improve single-shell Diffusion MRI tractograph" Oeslle Lucena et al. King's College London, United Kingdom |
Board CDMRI-5 | "A framework to construct a longitudinal DW-MRI infant atlas based on mixed effects modeling of dODF coeffcients" Heejong Kim at al. New York University, USA |
Board CDMRI-6 | "Optimized response function estimation for spherical deconvolution" Tom Dela Haije et al. University of Copenhagen, Denmark |
Board CDMRI-7 | "q-Space Novelty Detection with Variational Autoencoders" Aleksei Vasilev et al. Technical University of Munich, Germany |
Board CDMRI-8 | "DWI Simulation-assisted machine learning models for microstructure estimation" Jonathan Rafael-Patino et al. École polytechnique fédérale de Lausanne, Switzerland |
Board CDMRI-9 | "Convolutional Neural Network on DTI data for Sub-cortical Brain Structure Segmentation" Gustavo Retuci Pinheiro et al. University of Campinas - UNICAMP, Brazil |
Board CDMRI-10 | "Investigation of changes in anomalous diffusion parameters in a mouse model of brain tumour" Qianqian Yang et al. Queensland University of Technology, Australia |
Board CDMRI-11 | "Optimal Fiber Diffusion Model Restoration" Clint Greene et al. UCSB, USA |
Board CDMRI-12 | "A network-based analysis of the preterm adolescent brain using PCA and graph theory" Hassna Irzan et al. University College London, King's College London, United Kingdom |
Board CDMRI-13 | "Diffusion MRI Fiber Tractography by Flow Field Formation with Extended Physarum Solver: A Pilot Study with 2D Phantoms" Yoshitaka Masutani Hiroshima City University, Japan |
Board CDMRI-14 | "Diffusion anisotropy identification by short diffusion-diffusion correlation spectroscopy" Fangrong Zong et al. Institute of Biophysics, Chinese Academy of Sciences, China |