Programme

MICCAI 2022 Workshop on Computational Diffusion MRI

The CDMRI workshop is on the 22nd of September, 2022. Register now for the 22nd September MICCAI satellite event.

CDMRI Workshop including the QUAD2022 Challenge

ALL TIMES ARE GIVEN IN GMT+8 (Singapore time)

Welcome (8:00 – 8:10)

8:00 – 8:10 Welcome and Introduction

Keynote Lecture 1 (8:10 – 8:40)

8:10 – 8:40

Susie Y. Huang

Martinos Center for Biomedical Imaging, MGH, USA

Connectome 2.0: Developing the next generation human MRI scanner for bridging studies of the micro-, meso- and macro-connectome

Oral Session 1 (8:40 – 9:20)

8:40 – 8:52 Super-Resolution of Manifold-Valued Diffusion MRI Refined by Multi-Modal Imaging
Speaker: Tyler A. Spears
8:53 – 9:05 Lossy compression of multidimensional medical images using sinusoidal activation networks: an evaluation study
Speaker: Marco Palombo
9:06 – 9:18 Correction of susceptibility distortion in EPI: a semi-supervised approach with deep learning
Speaker: Antoine Legouhy

Keynote Lecture 2 (9:20 – 9:50)

9:20 – 9:50

Suyash P. Awate

Indian Institute of Technology (IIT), Bombay, India

Uncertainty-Aware and Robust Statistical Learning for Improved Neuroimaging

Power-pitch Session (9:50 – 10:20)

Slice estimation in diffusion MRI of neonatal and fetal brains in image and spherical harmonics domains using autoencoders
Speaker: Hamza Kebiri
The impact of susceptibility distortion correction protocols on adolescent diffusion MRI measures
Speaker: Talia Nir
How can spherical CNNs benefit ML-based diffusion MRI parameter estimation?
Speaker: Tobias Goodwin-Allcock
DC2U-Net: Tract Segmentation in Brain White Matter Using Dense Criss-Cross U-Net
Speaker: Jiquan Ma
Clustering in Tractography using Autoencoders (CINTA)
Speaker: Jon Haitz Legarreta Gorrono
Tractometric Coherence of Fiber Bundles in DTI
Speaker: Rick Sengers

Break (10:20 – 10:50)

Keynote Lecture 3 (10:50 – 11:20)

10:50 – 11:20

Andrew Zalesky

University of Melbourne, Australia

Mapping the human connectome with diffusion MRI tractography: Progress, pitfalls and challenges

Oral Session 2 (11:20 – 12:00)

11:20 – 11:32 Diffusion MRI Fibre Orientation Distribution Inpainting
Speaker: Zihao Tang
11:33 – 11:45 Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-Supervised Machine Learning
Speaker: Jason Lim
11:46 – 11:59 Stepwise Stochastic Dictionary Adaptation Improves Microstructure Reconstruction with Orientation Distribution Function Fingerprinting
Speaker: Patryk Filipiak

Keynote Lecture 4 (12:00 – 12:30)

12:00 – 12:30

Evren Özarslan

Department of Biomedical Engineering, Linköping University, Sweden

Topic: Novel strategies for recovering what diffusion could tell us

Lunch Break (12:30 – 13:30)

QUAD2022 Challenge (13:30 - 14:30)

13:30 – 14:30 Challenge: Quality augmentation in diffusion MRI for clinical studies (QUAD2022)

Keynote Lecture 5 (14:30 – 15:00)

14:30 – 15:00

Amy Howard

Oxford University, United Kingdom

The BigMac Dataset: linking MRI to microscopy

Concluding Remarks (15:00 – 15:10)