Browse All

Current Filters

CLEAR FILTER x

TITLE

Author:

Automated classification of intramedullary spinal cord tumors and inflammatory demyelinating lesions using deep learning

Automated lesion prediction and characterisation of focal cortical abnormalities: a MELD study

Automated machine learning-based brain lesion segmentation on structural MRI acquired from traumatic brain injury patients

Automated Quantification of Ventilation Defects and Heterogeneity in 3D Isotropic 129Xe MRI

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 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

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 no-reference image quality rating metrics in DL-reconstructed image quality assessment and protocol optimization

Author:Yaan Ge  Xiaolan Liu  Qingyu Dai  Kun Wang  

Session Type:Online Gather.town Pitches  

Session Date:Monday, 09 May 2022  

Topic:Module 22: Processing & Analysis  

Session Name:Processing & Analysis II  

Program Number:3165  

Room Session:4  

Institution:GE Healthcare  

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 reconstruction of arbitrary MRI sequences based on phase distribution graphs

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.

Automatically determine an optimal smoothing level in fMRI data analysis.

Axon radii estimation from dMRI data acquired from a non-fancy MRI scanner

Author:Debdut Mandal  Lipeng Ning  Yogesh Rathi  

Session Type:Online Gather.town Pitches  

Session Date:Tuesday, 10 May 2022  

Topic:Module 29: Processing & Analysis  

Session Name:Processing & Analysis I  

Program Number:3804  

Room Session:1  

Institution:Harvard Medical School  Indian Institute of Technology Kharagpur  

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 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  

B1-inhomogeneity Correction of Hyperpolarized 129Xe Lung Ventilation Imaging Using Spiral

Balanced-force shim system for correcting field inhomogeneities due to implantedcardioverter-defibrillators (ICDs): validation in phantoms

Bariatric Surgery increases Cerebral Blood Flow in Women with Obesity

Author:Sudipto Dolui  Ariana Chao  Noel Williams  Thomas Wadden  John Detre  

Session Type:Online Gather.town Pitches  

Session Date:Thursday, 12 May 2022  

Topic:Module 25: Gray Matter & Neurofluids  

Session Name:Gray Matter & Neurofluids II  

Program Number:4851  

Room Session:4  

Institution:University of Pennsylvania  

Basal Ganglia Connectivity as Assessed by Resting-State fMRI in Genetic Parkinson’s Disease

Baseline Correction of 1H MRS for Cerebral Glucose Quantification via Detecting H1-α-Glucose Peak at 7 T

BayesTract: Automated machine learning based brain artery segmentation, anatomical prior annotation and feature-extraction in MR Angiography

BayesTract: Automated machine learning based brain artery segmentation, anatomical prior annotation and feature-extraction in MR Angiography

Beat Phenomena in MRI - Theoretical and Experimental Description of the Impact of Mechanical Resonances on Fast Readouts

Author:Hannes Dillinger  Sebastian Kozerke  

Session Type:Power Pitch  

Session Date:Thursday, 12 May 2022  

Topic:Module 32: New Systems & Devices  

Session Name:Pitch: Novel MR Technology  

Program Number:0642  

Room Session:Power Pitch Theatre 2  

Institution:ETH and University Zurich