Programme
MICCAI 2020 Workshop on Computational Diffusion MRI
The CDMRI workshop is on the 8th of October, 2020. Register now for the 8th of October MICCAI satellite events.
CDMRI includes the Super-MUDI Challenge
ALL TIMES ARE GIVEN IN UTC
Welcome (9:00 – 9:05)
9:00 – 9:05
Welcome and Introduction
Keynote Lecture 1 (9:05 – 9:40)
9:05 – 9:40
Kerstin Hammernik
Department of Computing, Imperial College London, London, UK
Topic: Ultra-fast image reconstruction in MRI
Oral Session 1 (9:40 – 10:04)
9:40 – 9:52
Pretraining Improves Deep Learning Based Tissue Microstructure Estimation
Speaker: Yuxing Li
9:52 – 10:04
Learning Anatomical Segmentations for Tractography from Diffusion MRI
Speaker: Christian Ewert
Keynote Lecture 2 (10:04 – 10:39)
10:04 – 10:39
Chuyang Ye
School of Information and Electronics, Beijing Institute of Technology, Beijing, China
Topic: Deep learning for accelerated q-space and microstructure imaging
Power-pitch Session 1 (10:39 – 11:21)
10:39 – 10:45
Hybrid Graph Convolutional Neural Networks for Super Resolution of DW Images
Speaker: Jiquan Ma
10:45 – 10:51
Deep learning model fitting for diffusion-relaxometry: a comparative study
Speaker: Marco Palombo
10:51 – 10:57
Enhancing Diffusion Signal Augmentation using Spherical Convolutions
Speaker: Simon Koppers
10:57 – 11:03
Direct reconstruction of crossing muscle fibers in the human tongue using a deep neural network
Speaker: Muhan Shao
11:03 – 11:09
Two Parallel Stages Deep Learning Network for Anterior Visual Pathway Segmentation
Speaker: Siqi Li
11:09 – 11:15
Image Reconstruction from Accelerated Slice-Interleaved Diffusion Encoding Data
Speaker: Tiantian Xu
11:15 – 11:21
Diffusion MRI fiber orientation distribution function estimation using voxel-wise spherical U-net
Speaker: Sara Sedlar
Short Break (11:21 – 11:36)
Keynote Lecture 3 (11:36 – 12:11)
11:36 – 12:11
Ryutaro Tanno
Healthcare Intelligence, Microsoft Research Cambridge, Cambridge, UK
Topic: Uncertainty quantification and visualization in dMRI
Oral Session 2 (12:11 – 12:35)
12:11 – 12:23
Towards optimal sampling in diffusion MRI for accelerated fiber tractography
Speaker: Tomer Weiss
12:23 – 12:35
Improving tractography accuracy using dynamic filtering
Speaker: Matteo Battocchio
Keynote Lecture 4 (12:35 – 13:10)
12:35 – 13:10
Jelle Veraart
Centre for Biomedical Imaging, NYU School of Medicine, New York, NY, USA
Topic: State-of-the-art denoising and pre-processing pipeline for artifact free dMRI
Oral Session 3 (13:10 – 13:34)
13:10 – 13:22
Beyond lesion-load: Tractometry-informed metrics for characterizing white matter lesions within fibre pathways
Speaker: Maxime Chamberland
13:22 – 13:34
Longitudinal Parcellation of the Infant Cortex Using Multi-Modal Connectome Harmonics
Speaker: H Patrick Taylor
Long Break (13:34 – 14:04)
Keynote Lecture 5 (14:04 – 14:39)
14:04 – 14:39
Michal Sofka
Hyperfine, New York, NY, USA
Topic: Point-of-Care MRI: low-cost and portable system for low field dMRI anywhere anytime
Oral Session 4 (14:39 – 15:03)
14:39 – 14:51
Manifold-Aware CycleGAN for High-Resolution Structural-to-DTI Synthesis
Speaker: Benoit Anctil-Robitaille
14:51 – 15:03
Stick Stippling for Joint 3D Visualization of Diffusion MRI Fiber Orientations and Density
Speaker: Ryan P. Cabeen
Power-pitch Session 2 (15:03 – 15:51)
15:03 – 15:09
Repeatability of soma and neurite metrics in cortical and subcortical grey matter
Speaker: Sila Genc
15:09 – 15:15
Multi-modal brain age estimation: a comparative study confirms the importance of microstructure
Speaker: Ahmed Salih
15:15 – 15:21
Diffeomorphic Alignment of Along-Tract Diffusion Profile Data from Tractography
Speaker: David Lee
15:21 – 15:27
A Signal Peak Separation Index for axisymmetric B-tensor encoding
Speaker: Gaetan Rensonnet
15:27 – 15:33
Q-space quantitative diffusion MRI measures using a stretched-exponential representation
Speaker: Tomasz Pieciak
15:33 – 15:39
DW-MRI Microstructure Model of Models Captured via Single-Shell Bottleneck Deep Learning
Speaker: Vishwesh Nath
15:39 – 15:45
Automatic segmentation of dentate nuclei for microstructure assessment: example of application to temporal lobe epilepsy patients
Speaker: Marta Gaviraghi
15:45 – 15:51
Exploring DTI Benchmark Databases Through Visual Analytics
Speaker: William A. Romero R.
Short Break (15:51 – 16:06)
Keynote Lecture 6 (16:06 – 16:41)
16:06 – 16:41
Daan Christiaens
Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, UK
Topic: Super-resolution in the acquisition of dMRI for enhanced clinical imaging
Super-MUDI Challenge (16:41 – 17:41)
Concluding Remarks (17:41 – 18:00)
| 9:00 – 9:05 | Welcome and Introduction |
| 9:05 – 9:40 |
|
Kerstin HammernikDepartment of Computing, Imperial College London, London, UKTopic: Ultra-fast image reconstruction in MRI |
| 9:40 – 9:52 | Pretraining Improves Deep Learning Based Tissue Microstructure Estimation
Speaker: Yuxing Li |
| 9:52 – 10:04 | Learning Anatomical Segmentations for Tractography from Diffusion MRI
Speaker: Christian Ewert |
| 10:04 – 10:39 |
|
Chuyang YeSchool of Information and Electronics, Beijing Institute of Technology, Beijing, ChinaTopic: Deep learning for accelerated q-space and microstructure imaging |
| 10:39 – 10:45 | Hybrid Graph Convolutional Neural Networks for Super Resolution of DW Images
Speaker: Jiquan Ma |
| 10:45 – 10:51 | Deep learning model fitting for diffusion-relaxometry: a comparative study
Speaker: Marco Palombo |
| 10:51 – 10:57 | Enhancing Diffusion Signal Augmentation using Spherical Convolutions
Speaker: Simon Koppers |
| 10:57 – 11:03 | Direct reconstruction of crossing muscle fibers in the human tongue using a deep neural network
Speaker: Muhan Shao |
| 11:03 – 11:09 | Two Parallel Stages Deep Learning Network for Anterior Visual Pathway Segmentation
Speaker: Siqi Li |
| 11:09 – 11:15 | Image Reconstruction from Accelerated Slice-Interleaved Diffusion Encoding Data
Speaker: Tiantian Xu |
| 11:15 – 11:21 | Diffusion MRI fiber orientation distribution function estimation using voxel-wise spherical U-net
Speaker: Sara Sedlar |
| 11:36 – 12:11 |
|
Ryutaro TannoHealthcare Intelligence, Microsoft Research Cambridge, Cambridge, UKTopic: Uncertainty quantification and visualization in dMRI |
| 12:11 – 12:23 | Towards optimal sampling in diffusion MRI for accelerated fiber tractography
Speaker: Tomer Weiss |
| 12:23 – 12:35 | Improving tractography accuracy using dynamic filtering
Speaker: Matteo Battocchio |
| 12:35 – 13:10 |
|
Jelle VeraartCentre for Biomedical Imaging, NYU School of Medicine, New York, NY, USATopic: State-of-the-art denoising and pre-processing pipeline for artifact free dMRI |
| 13:10 – 13:22 | Beyond lesion-load: Tractometry-informed metrics for characterizing white matter lesions within fibre pathways
Speaker: Maxime Chamberland |
| 13:22 – 13:34 | Longitudinal Parcellation of the Infant Cortex Using Multi-Modal Connectome Harmonics
Speaker: H Patrick Taylor |
| 14:04 – 14:39 |
|
Michal SofkaHyperfine, New York, NY, USATopic: Point-of-Care MRI: low-cost and portable system for low field dMRI anywhere anytime |
| 14:39 – 14:51 | Manifold-Aware CycleGAN for High-Resolution Structural-to-DTI Synthesis
Speaker: Benoit Anctil-Robitaille |
| 14:51 – 15:03 | Stick Stippling for Joint 3D Visualization of Diffusion MRI Fiber Orientations and Density
Speaker: Ryan P. Cabeen |
| 15:03 – 15:09 | Repeatability of soma and neurite metrics in cortical and subcortical grey matter
Speaker: Sila Genc |
| 15:09 – 15:15 | Multi-modal brain age estimation: a comparative study confirms the importance of microstructure
Speaker: Ahmed Salih |
| 15:15 – 15:21 | Diffeomorphic Alignment of Along-Tract Diffusion Profile Data from Tractography
Speaker: David Lee |
| 15:21 – 15:27 | A Signal Peak Separation Index for axisymmetric B-tensor encoding
Speaker: Gaetan Rensonnet |
| 15:27 – 15:33 | Q-space quantitative diffusion MRI measures using a stretched-exponential representation
Speaker: Tomasz Pieciak |
| 15:33 – 15:39 | DW-MRI Microstructure Model of Models Captured via Single-Shell Bottleneck Deep Learning
Speaker: Vishwesh Nath |
| 15:39 – 15:45 | Automatic segmentation of dentate nuclei for microstructure assessment: example of application to temporal lobe epilepsy patients
Speaker: Marta Gaviraghi |
| 15:45 – 15:51 | Exploring DTI Benchmark Databases Through Visual Analytics
Speaker: William A. Romero R. |
| 16:06 – 16:41 |
|
Daan ChristiaensCentre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, UKTopic: Super-resolution in the acquisition of dMRI for enhanced clinical imaging |