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Automated subject-specific pixels selection for improved image reconstruction in free-running coronary MRA using SIMBA

Automated Superstructure-based Segmentation of Ascending Arousal Network Nuclei for Diffusion Tractography

Automated tuning of gate driver circuit using eGaN FETs

Author:Natalia Gudino  

Session Type:Digital Poster  

Session Date:Wednesday, 11 May 2022  

Topic:Module 32: New Systems & Devices  

Session Name:New (RF) Devices & High-Field MR I  

Program Number:1999  

Room Session:Exhibition Hall:S8 & S9  

Institution:NIH  

Automated volumetry of amygdala subregions in Parkinson’sdiseasepatients

Automated 3D MRI Decision Tree to guide referral and diagnosis of parkinsonian disorders

Automated cardiac bi-ventricular segmentation and motion analysis in a monocrotaline rat model of pulmonary hypertension

Automated compensation of respiratory motion and bulk patient movement in free-running whole-heart 4D MRI

Automated compensation of respiratory motion and bulk patient movement in free-running whole-heart 4D MRI

Automatic 3D bladder segmentation from low-field MR images using 3D U-Net

Automatic detection of spatio-temporal patterns of interictal epileptic activity with fMRI

Automatic detection of the anterior choroidal artery in TOF-MRA and its trajectory through the hippocampus and its sub-regions

AUTOMATIC EVALUATION OF HIP ABDUCTOR MUSCLE QUALITY IN HIP OSTEOARTHRITIS

Automatic lung segmentation for hyperpolarized gas MRI using transferred generative adversarial network and three-view aggregation

Automatic Off-Resonance Correction for Spiral Imaging with a Convolutional Neural Network

Author:Quan Dou  Zhixing Wang  Xue Feng  Craig Meyer  

Session Type:Online Gather.town Pitches  

Session Date:Thursday, 12 May 2022  

Topic:Module 15: Data Acquisition & Artifacts  

Session Name:Data Acquisition & Artefacts II  

Program Number:5022  

Room Session:1  

Institution:University of Virginia  

Automatic Prostate Tumor Segmentation: Does the Convolutional Neural Network Learn How the Tumor Looks, or What the Radiologist Sees?

Automatic Quantification of Enlarged Perivascular Space aided with Super-resolution 2D T2 images

Automatic reconstruction of arbitrary MRI sequences based on phase distribution graphs

Automatic segmentation and reconstruction of liver vascular structure on MRI with a deep learning model

Automatic segmentation of prostate gland on multiparametric MR images using deep learning convolutional neural network: a multi-center study

Author:Lili Xu  Gumuyang Zhang  Li Mao  Xiuli Li  Hao Sun  Zhengyu Jin  

Session Type:Online Gather.town Pitches  

Session Date:Tuesday, 10 May 2022  

Topic:Module 19: Genitourinary & Women's Imaging  

Session Name:Body: GU & Breast II  

Program Number:3677  

Room Session:2  

Institution:Deepwise AI Lab  Peking Union Medical College Hospital  

Automatic Segmentation of the Great Arteries for Robust Hemodynamic Assessment

Automatic segmentation of the hip bony structures on 3D Dixon MRI datasets using transfer learning from a neural network developed for the shoulder

Automatic Segmentation of Twin Regions in Mo-Di Placentae Based on Geometric Analysis of Spatiotemporal BOLD MRI Signals

Automatic segmentation of whole-body MRI using UnnU-Net: Feasibility of whole-skeleton ADC evaluation in plasma cell disorders

Automatic selection of the optimal kernel size for Helmholtz-based EPT

Automatic fibroglandular tissue segmentation in breast MRI using a deep learning approach

Author:Fares Ouadahi  Anais Bernard  Lucile Brun  Julien Rouyer  

Session Type:Digital Poster  

Session Date:Wednesday, 11 May 2022  

Topic:Module 22: Processing & Analysis  

Session Name:Processing & Analysis: Segmentation II  

Program Number:2226  

Room Session:Exhibition Hall:S8 & S9  

Institution:Olea Medical  

Automatic segmentation of bladder cancer on MRI using a convolutional neural network and reproducibility of radiomics features.

An AutomaticAbdomenMR-Quantificationbased onaSimultaneous Multi-ParameterMappingwithin 3 Breath-holdsand deep-learning Segmentation

Automatically determine an optimal smoothing level in fMRI data analysis.

Autonomic Function Regulates the Default-Mode Network in Rats

Author:Jiayue Cao  Xiaokai Wang  Zhongming Liu  

Session Type:Power Pitch  

Session Date:Tuesday, 10 May 2022  

Topic:Module 1: fMRI  

Session Name:Pitch: High-Resolution fMRI & Functional Connectivity  

Program Number:0269  

Room Session:Power Pitch Theatre 1  

Institution:University of Michigan  

Autonomic Function Regulates the Default-Mode Network in Rats

Author:Jiayue Cao  Xiaokai Wang  Zhongming Liu  

Session Type:Power Pitch Poster  

Session Date:Tuesday, 10 May 2022  

Topic:

Session Name:Poster: High-Resolution fMRI & Functional Connectivity  

Program Number:0269  

Room Session:Power Pitch Theatre 1  

Institution:University of Michigan  

AVA Diagnostics - multimodality computer assisted aneurysm management tool

Axial T2-weighted MR imaging of the cervical spine using PROPELLER with deep learning reconstruction to improve image quality

B0 field distortions monitoring and correction for 3D non-Cartesian fMRI acquisitions using a field camera: Application to 3D-SPARKLING at 7T

B0 Inhomogeneity Characterization and Correction on an open bore MRI-Linac

B0 inhomogeneity in the abdominal subcutaneous fat at 3T

B0 shimming in human brain using rosette encoding at 7T

B0 shimming for 7T cardiac T2*-weighted MRI in large animals: practical demands and hardware limitations.

B1 field flattening and length control of half-wave dipole antenna with discrete dielectric coating

Author:Aditya Bhosale  Divya Gawande  Xiaoliang Zhang  

Session Type:Online Gather.town Pitches  

Session Date:Tuesday, 10 May 2022  

Topic:Module 24: RF Coils, Technologies & Sequences  

Session Name:RF Coils, Technologies & Sequences III  

Program Number:4104  

Room Session:6  

Institution:University at Buffalo