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

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

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  

Hybrid structure-function connectome predicts individual cognitive abilities

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