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Deep J-Sense: An unrolled network for jointly estimating the image and sensitivity maps

A Deep k-means Based Tissue Extraction from Reconstructed Human Brain MR Image

Author:Madiha Arshad  Mahmood Qureshi  Omair Inam  Hammad Omer  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:2398  

Room Session:Concurrent 1  

Institution:COMSATS University  

A Deep Learning Approach for Robust Segmentation of Livers with High Iron Content from MR Images of Pediatric Patients

A Deep Learning Approach to QSM Background Field Removal: Simulating Realistic Training Data Using a Reference Scan Ground Truth and Deformations

Author:Oriana Arsenov  Karin Shmueli  Anita Karsa  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Current Trends in MRI Contrast Mechanisms  

Session Name:Contrast Mechanisms: Miscellaneous  

Program Number:1839  

Room Session:Concurrent 3  

Institution:University College London  

Deep learning based denoising for high b-value high resolution diffusion imaging

Deep learning based fully automatic analysis of gastric motility from contrasty-enhanced MRI

Author:Xiaokai Wang  Jiayue Cao  Minkyu Choi  Zhongming Liu  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Digestive, Diabetes & Pancreas  

Session Name:Digestive, Diabetes & Pancreas  

Program Number:0252  

Room Session:Concurrent 5  

Institution:University of Michigan  

Deep Learning Based Joint MR Image Reconstruction and Under-sampling Pattern Optimization

Deep Learning Based Segmentation and Fat Fraction Assessment of the Calf in Diabetic Subjects and Non-Diabetic Controls

Deep Learning Denoising to Accelerate Diffusion-Weighted Imaging of Rectal Cancer

Deep Learning Enhanced T1 Mapping and Reconstruction Framework with Spatial-temporal and Physical Constraint

Deep learning for fast 3D low field MRI

Deep Learning Reconstruction of MR Fingerprinting for simultaneous T1, T2* mapping and generation of WM, GM and WM lesion probability maps

Deep Learning Using Synthetic Data for Signal Denoising and Spectral Fitting in Deuterium Metabolic Imaging

Deep learning-based thoracic cavity segmentation for hyperpolarized 129Xe MRI

Deep unrolled network with optimal sampling pattern to accelerate multi-echo GRE acquisition for quantitative susceptibility mapping

A Deep-Learning Framework for Image Reconstruction of Undersampled and Motion-Corrupted k-space Data

Deep-Learning-Based Motion Correction For Quantitative Cardiac MRI

Author:Alfredo De Goyeneche  Shuyu Tang  Nii Addy  Bob Hu  William Overall  Juan Santos  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:0387  

Room Session:Concurrent 1  

Institution:HeartVista, Inc.  

DeepSlider: Deep learning-powered gSlider for improved robustness and performance

DeepTSE-T2: Deep learning-powered T2 mapping with B1+ estimation using a product double-echo Turbo Spin Echo sequence

Demystifying the effect of field strength on RF heating of conductive leads: A simulation study of SAR in DBS lead models during MRI at 1.5 T - 10.5 T

A Densely Connected Neural Network with Frequency Balancing Loss for Adipose Tissue Segmentation in Children using Free-Breathing Abdominal MRI

Dermal sodium space in controls and Type 2 Diabetes Mellitus patients characterised at histological length scales using 1H/23Na MRS and MRI at 9.4T

Design and Electric Field Analyses of a Shorter and Wider Asymmetric Gradient Coil for Whole Body MRI Scanners: A Comparison with a Symmetric Design

Author:Afis Ajala  Yihe Hua  Desmond Teck Beng Yeo  Mark Vermilyea  Thomas Foo  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Safety & Multinuclear/Preclinical RF  

Session Name:System & Component Safety  

Program Number:2481  

Room Session:Concurrent 4  

Institution:GE Global Research  

Design of a neonatal head and cardiac imaging system and parallel-transmit volume/receive phased array for 7T MRI during early infancy

Design of slice-selective RF pulses using deep learning

Detection and quantification of NAD+ in the human brain at 3 T: Comparison of three different localization techniques

Detection of fibrosis in patients with moderate renal impairment with multiparametric MRI

Detection of ionic bonding using IMMOBILISE MRI and theoretical description of the relayed NOE transfer mechanism

Detection of liver fibrosis in a Rat NASH Model using water specific T1 mapping with Gadoxetic Acid -enhanced MRI

Deuterium Echo-Planar Spectroscopic Imaging (DEPSI) to Dynamically Monitor Deuterated Glucose in the Liver at 7T

Deuterium metabolic imaging (DMI) of glucose metabolism in pregnant preeclamptic mice at 15.2 tesla.

Deuterium metabolic imaging (DMI) of Water, Glucose and Lactate using spectroscopic multi-echo bSSFP: A higher Signal to Noise Approach

Development and Evaluation of a software for Parametric Patlak mapping using PET/MRI input function (CALIPER).

Development of a Deep Learning MRI Phase Unwrapping Technique Using an Exact Unwrap-Rewrap Training Model

Author:Rita Kharboush  Anita Karsa  Barbara Dymerska  Karin Shmueli  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:2411  

Room Session:Concurrent 1  

Institution:University College London  

Development of a multi-turn double helix dipole coil for magnetic resonance microimaging of chemically-fixed human embryos at 7T.

Author:Yuto Murakami  Yasuhiko Terada  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Safety & Multinuclear/Preclinical RF  

Session Name:Multinuclear & Preclinical RF Coils  

Program Number:2514  

Room Session:Concurrent 4  

Institution:University of Tsukuba  

Development of a Numerical Bloch Solver for Low-Field Pulse Sequence Modeling

Development of a simulation method to evaluate T2* shortening due to susceptibility of fat in the liver using the finite element method