3D DUAL RECURSIVE REFINER NETWORK FOR ROBUST SEGMENTATION: APPLICATION TO BRAIN EXTRACTION

Author:Maxime Bertrait  Pascal Ceccaldi  Boris Mailhé  Youngjin Yoo  Mariappan Nadar  

Institution:Siemens Healthineers  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Thursday, 13 August 2020  

Topic:Brain-Gut Axis and AI in Neuroimaging  

Session Name:Emerging Applications of AI in Neuroimaging  

Program Number:1302  

Room Live Q&A Session:Thursday Parallel 2  

Accelerated 4D-flow MRI using Machine Learning (ML) Enabled Three Point Flow Encoding

Author:Dahan Kim  Laura Eisenmenger  Kevin Johnson  

Institution:University of Wisconsin  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Thursday, 13 August 2020  

Topic:Brain-Gut Axis and AI in Neuroimaging  

Session Name:Emerging Applications of AI in Neuroimaging  

Program Number:1296  

Room Live Q&A Session:Thursday Parallel 2  

Accurate Brain Extraction Using 3D U-Net with Encoded Spatial Information

Attention-based convolutional network quantifying the importance of quantitative MR metrics in the multiple sclerosis lesion classification

Bayesian learning for fast parameter inference of multi-exponential white matter signals

Characterisation of white matter lesion patterns in Systemic Lupus Erythematosus by an unsupervised machine learning approach.

Clinical performance of reduced gadolinium dose for contrast-enhanced brain MRI using deep learning

Contrast-weighted SSIM loss function for deep learning-based undersampled MRI reconstruction

A deep learning approach for hemodynamic parameter estimation from multi-delay arterial spin-labelled MRI

Deep Learning Segmentation of Lenticulostriate Arteries on 3D Black Blood MRI

Deep Learning Multi-class Segmentation Algorithm is more Resilient to the Variations of MR Image Acquisition Parameters

Estimating the capillary input function using deep learning approach for Dynamic Contrast-Enhanced MRI assessment of blood brain barrier

Fiber orientation robust myelin water fraction mapping using complex-valued neural network in multi-echo gradient echo

Author:Soozy Jung  Kanghyun Ryu  Jae Eun Song  Mina Park  Dong-Hyun Kim  

Institution:Gangnam Severance Hospital  Yonsei University  

Session Type:Oral  

Session Live Q&A Date:Thursday, 13 August 2020  

Topic:Brain-Gut Axis and AI in Neuroimaging  

Session Name:AI Applications in Neuroimaging: High Novelty & Impact  

Program Number:1290  

Room Live Q&A Session:Thursday Parallel 2  

From 2D thick slices to 3D isotropic volumetric brain MRI - a deep learning approach

Author:Berkin Bilgic  Long Wang  Enhao Gong  Greg Zaharchuk  Tao Zhang  

Institution:Subtle Medical Inc  MGH/Harvard  Stanford University  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Thursday, 13 August 2020  

Topic:Brain-Gut Axis and AI in Neuroimaging  

Session Name:Emerging Applications of AI in Neuroimaging  

Program Number:1299  

Room Live Q&A Session:Thursday Parallel 2  

Gaussian Process Progression Modelling of structural MRI changes in Huntington’s disease

Hybrid structure-function connectome predicts individual cognitive abilities

The neural network model that can consider the inhomogeneity of the judgements between different annotators: implementation for MRA diagnosis

Neuroimaging of the Brain-Gut Axis

Author:Ling Ling Chan  

Institution:Singapore General Hospital  

Session Type:Weekday Course  

Session Live Q&A Date:Thursday, 13 August 2020  

Topic:Brain-Gut Axis and AI in Neuroimaging  

Session Name:The Brain-Gut Axis: Imaging the Superorganism  

Program Number:

Room Live Q&A Session:Thursday Parallel 2  

    Neuroimaging the Gut-Brain Axis: Influence of the Gut Microbiome on Brain Microstructure

    Author:John-Paul Yu  

    Institution:University of Wisconsin-Madison  

    Session Type:Weekday Course  

    Session Live Q&A Date:Thursday, 13 August 2020  

    Topic:Brain-Gut Axis and AI in Neuroimaging  

    Session Name:The Brain-Gut Axis: Imaging the Superorganism  

    Program Number:

    Room Live Q&A Session:Thursday Parallel 2  

    Predicting brain function from anatomy with geometric deep learning using high-resolution MRI data

    Author:Fernanda Ribeiro  Steffen Bollmann  Alexander Puckett  

    Institution:University of Queensland  

    Session Type:Oral  

    Session Live Q&A Date:Thursday, 13 August 2020  

    Topic:Brain-Gut Axis and AI in Neuroimaging  

    Session Name:AI Applications in Neuroimaging: High Novelty & Impact  

    Program Number:1285  

    Room Live Q&A Session:Thursday Parallel 2  

    Quantification of Non-Water-Suppressed Proton Spectroscopy using Deep Neural Networks

    Toward a site and scanner-generic deep learning model for reduced gadolinium dose in contrast-enhanced brain MRI

    Author:Srivathsa Pasumarthi Venkata  Jonathan Tamir  Enhao Gong  Greg Zaharchuk  Tao Zhang  

    Institution:Subtle Medical Inc.  

    Session Type:Oral  

    Session Live Q&A Date:Thursday, 13 August 2020  

    Topic:Brain-Gut Axis and AI in Neuroimaging  

    Session Name:AI Applications in Neuroimaging: High Novelty & Impact  

    Program Number:1286  

    Room Live Q&A Session:Thursday Parallel 2