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AutoSON: Automated Sequence Optimization by joint training with a Neural network

Bayesian deep learning-based 1H-MRS of the brain: Metabolite quantification with uncertainty estimation using Monte Carlo dropout

BUDA-SAGE with unsupervised denoising enables fast, distortion-free, high-resolution T2, T2*, iron and myelin susceptibility mapping

ChEST: A novel model measuring both Chemical Exchange and Susceptibility Tensor from resonance frequency shift

Consistency, ablation, and scalability studies of DeepRF

Author:Dongmyung Shin  Jiye Kim  Juhyung Park  Jongho Lee  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:New strategies in RF Pulse Design  

Session Name:RF Pulses  

Program Number:3959  

Room Session:Concurrent 1  

Institution:Seoul National University  

DeepResp: Deep Neural Network for respiration-induced artifact correction in 2D multi-slice GRE

DeepRF-Grad: Simultaneous design of RF pulse and slice selective gradient using self-learning machine

Author:Jiye Kim  Dongmyung Shin  Juhyung Park  Hwihun Jeong  Jongho Lee  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:New strategies in RF Pulse Design  

Session Name:RF Pulses  

Program Number:3957  

Room Session:Concurrent 1  

Institution:Seoul National University  

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

DIFFnet: Diffusion parameter mapping network generalized for input diffusion gradient directions and b-values

DTI and NODDI assessment of posterior optic pathway function in sellar and parasellar tumor patients

Generalization of deep learning-based QSM by expanding the diversity of spatial gradient in training data

High neuromelanin contrast achieved using sandwiched flow saturation RF pulses: sandwich-fsNM imaging

Magnetic susceptibility source separation: validation with Monte-Carlo simulation & application tohuman brain with histological comparison

Myelin Water Fraction Imaging in Patients with Alzheimer's Disease and Mild Cognitive Impairment

Necessity for a common dataset for a fair comparison between deep neural networks for QSM

Neuromelanin Sensitive MRI and QSM of the Substantia Nigra in Parkinson's-Linked Asian LRRK2 Carriers

Probing Microstructure from Afar: Magnitude & Phase

Author:Jongho Lee  

Session Type:Plenary Session  

Session Date:Wednesday, 19 May 2021  

Topic:Wednesday Plenary  

Session Name:Microstructure: Richness of Scales & Contrasts  

Program Number:

Room Session:Concurrent 1  

Institution:Seoul National University  

    Unsupervised anomaly detection using generative adversarial networks in 1H-MRS of the brain