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Deep Learning-Based Adaptive Noise Reduction for Improving Image Quality of 1.5T MR Images

Deep learning-based B0 inhomogeneities mapping using sparse CEST spectral data

Deep Learning-based Fast Magnetic Resonance Spectroscopy

Deep learning-based partial Fourier reconstruction for improved prostate DWI

Deep Learning-based Perfusion Parameter Mapping (DL-PPM) with Simulated Microvascular Network Data

Deep Learning-based Quantification of Proton Density Fat Fraction and R2* in the Liver

Deep learning-based referenceless distortion correction for single-shot non-Cartesian spatiotemporally encoded MRI

Author:Wei Wang  Jian Wu  Qinqin Yang  Jian Han  Congbo Cai  Shuhui Cai  Zhong Chen  

Institution:Xiamen University  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction 2  

Program Number:3600  

Room Live Q&A Session:

Deep learning-based sCTs with uncertainty estimation from heterogeneous paediatric brain MRI

Author:Matteo Maspero  Laura Bentvelzen  Mark Savenije  Enrica Seravalli  Geert Janssens  Cornelis van den Berg  Marielle Philippens  

Institution:UMC Utrecht  Princess Maxima Center  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Monday, 10 August 2020  

Topic:Pediatric Innovations  

Session Name:Pediatric Head to Toe  

Program Number:0081  

Room Live Q&A Session:Monday Parallel 3  

Deep learning-based target metabolite-specific signal isolation and big data-driven measurement uncertainty estimation in 1H-MRS of the brain

Author:HyeongHun Lee  Hyeonjin Kim  

Institution:Seoul National University  Seoul National University Hospital  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:New Techniques in MRS  

Session Name:MRS Reconstruction & AI  

Program Number:2847  

Room Live Q&A Session:

Deep learning-based thigh muscle segmentation for reproducible fat fraction quantification using fat-water decomposition MRI

Author:Jie Ding  Varut Vardhanabhuti  Eric Lai  Yuan Gao  Sophelia Chan  Peng Cao  

Institution:The University of Hong Kong  

Session Type:Oral  

Session Live Q&A Date:Monday, 10 August 2020  

Topic:Emerging Methods and Machine Learning in Musculoskeletal MRI  

Session Name:Machine Learning in Musculoskeletal  

Program Number:0249  

Room Live Q&A Session:Monday Parallel 4  

Deep Learning-based Single-shot T2* Mapping Using Multiple Overlapping-Echo Detachment Acquisition

Author:Qinqin Yang  Jian Wu  Wei Wang  Jiyang Dong  Shuhui Cai  Congbo Cai  

Institution:Xiamen University  

Session Type:Oral  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Advances in Quantitative MRI  

Session Name:Quantitative Relaxation Parameter Mapping: Better, Faster, Stronger  

Program Number:0894  

Room Live Q&A Session:Wednesday Parallel 5  

Deep Model-based MR Parameter Mapping Network (DOPAMINE) for Fast MR Reconstruction

Author:Yohan Jun  Hyungseob Shin  Taejoon Eo  Taeseong Kim  Dosik Hwang  

Institution:Yonsei University  

Session Type:Oral  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:0988  

Room Live Q&A Session:Wednesday Parallel 5  

A deep network for continuous motion detection during MRI scanning

Author:Isabelle Heukensfeldt Jansen  Sangtae Ahn  Rafi Brada  Michael Rotman  Christopher J. Hardy  

Institution:GE Global Research Center  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Mitigating motion, artifacts and imperfections  

Session Name:Motion Correction: Brain  

Program Number:3364  

Room Live Q&A Session:

A deep network for reconstruction of undersampled fast-spin-echo MR images with suppressed fine-line artifact

Author:Sangtae Ahn  Anne Menini  Christopher Hardy  

Institution:GE Global Research  GE Healthcare  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction 1  

Program Number:3594  

Room Live Q&A Session:

Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction

A deep neural network with convolutional LSTM for brain tumor segmentation in multi-contrast volumetric MRI

Author:Namho Jeong  Byungjai Kim  Jongyeon Lee  HyunWook Park  

Institution:Korea Advanced Institute of Science and Technology  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Image Segmentation  

Program Number:3510  

Room Live Q&A Session:

Deep PET-Prior: MR-derived Zero-Dose PET Prior for Differential Contrast Enhancement of PET

Deep Residual Grappa (DeepGrappa): A General Purpose Self-calibrated AI based MR Reconstruction

Author:Hui Xue  James Moon  Peter Kellman  

Institution:Barts Heart Centre, Barts Health NHS Trust  NHLBI, NIH  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction 4  

Program Number:3640  

Room Live Q&A Session:

Deep Shoulder CT Image Synthesis from MR via Context-aware 2.5D Generative Adversarial Networks

Deep Simultaneous Optimization of Sampling and Reconstruction for Multi-contrast MRI

Author:Xinwen Liu  Jing Wang  Fangfang Tang  Shekhar Chandra  Feng Liu  Stuart Crozier  

Institution:The University of Queensland  Griffith University  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction 3  

Program Number:3619  

Room Live Q&A Session:

Deep subspace learning: Enhancing speed and scalability of deep learning-based reconstruction of dynamic imaging data

Author:Christopher Sandino  Frank Ong  Shreyas Vasanawala  

Institution:Stanford University  

Session Type:Oral  

Session Live Q&A Date:Tuesday, 11 August 2020  

Topic:Novel Pulse Sequences and Reconstruction Techiques  

Session Name:Novel Acquisitions & Reconstructions  

Program Number:0599  

Room Live Q&A Session:Tuesday Parallel 4  

A deep transfer learning model for early prediction of cognitive deficits using brain structural connectome data in very preterm infants

A Deep Transfer Learning Model for Liver Stiffness Classification using Clinical and T2-Weighted MRI Data

A Deep Transfer Learning Model to Predict Patient Outcome in ICH using the Fusion of Clinical and Fluid-Attenuated Inversion Recovery Imaging Data

DeepCEST 3T: Robust neural network prediction of 3T CEST MRI parameters including uncertainty quantification

DeepDTI: Six-direction diffusion tensor MRI using deep learning

DeepECG: Towards 3-D Continuous Cardiac MRI without ECG-Gating - Deep Learning-based R-Wave Classification for Automated Cardiac Phase Binning

DeepHIBRID: How to condense the sampling in the k-q joint space for microstructural diffusion metric estimation empowered by deep learning

A Deep-Learning Based 3D Liver Motion Prediction for MR-guided-Radiotherapy

Deep-learning based motion correction for brain conductivity reconstruction

Author:Jan Hendrik Wuelbern  Ulrich Katscher  Karsten Sommer  Axel Saalbach  Jalal Andre  

Institution:Philips Research Europe  University of Washington  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction 1  

Program Number:3596  

Room Live Q&A Session:

Deep-Learning based Segmentation and Localization of White Matter Hyperintensities on Magnetic Resonance Images

A deep-learning based synthesized T2 weighted imaging with multi-modality information and k-space correction

Deep-learning Diagnosis of Supraspinatus Tendon Tears: Comparison of Multi-sequence Versus Single Sequence Input

Deep-Learning Driven Acceleration of Multi-Parametric Quantitative Phase-Cycled bSSFP Imaging

Deep-learning Methods for Meniscus Segmentation in Knee MRI

Deep-learning reconstruction for 3D Delayed Myocardial Enhancement

Deep-Learning Reconstruction Method for Improved High-Resolution Imaging of the Lateral Rectus-Superior Rectus Band in a Clinical Setting

Author:Patrick Quarterman  Gul Moonis  Marc Lebel  

Institution:Columbia University  GE Healthcare  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Neuroimaging and AI  

Session Name:Neuroimaging & AI: Poster Session 4  

Program Number:1897  

Room Live Q&A Session:

DeepRespi: Retrospective correction for respiration-induced B0 fluctuation artifacts using deep learning

DeepRF: Designing an RF pulse using a self-learning machine

Author:Dongmyung Shin  Jongho Lee  

Institution:Seoul National University  

Session Type:Oral  

Session Live Q&A Date:Tuesday, 11 August 2020  

Topic:Novel Pulse Sequences and Reconstruction Techiques  

Session Name:RF Pulses & Pulse Sequences  

Program Number:0611  

Room Live Q&A Session:Tuesday Parallel 4  

Default mode network connectivity differences in levodopa responsive subtypes of Parkinson’s disease patients with freezing of gait.

Defining the Clinical Needs in Underserved Populations

Author:Susan Sotardi  

Institution:Children's Hospital Philadelphia  

Session Type:Weekday Course  

Session Live Q&A Date:Monday, 10 August 2020  

Topic:Educational Q&A: Value  

Session Name:Value of MRI: A Global Perspective  

Program Number:

Room Live Q&A Session:Monday Parallel 1  

    Definition of Brainstem Nuclei: Ventral Tegmental Area (VTA) and Dorsal Raphe Nucleus (DRN)

    Author:Anna Crawford  Stephen Jones  Mark Lowe  

    Institution:Cleveland Clinic Foundation  

    Session Type:Digital Poster  

    Session Live Q&A Date:Digital Poster (All Week)  

    Topic:Neuro Acquisition and Processing  

    Session Name:Emerging Neuro Brain Imaging 4  

    Program Number:1843  

    Room Live Q&A Session:

    A deflectable positionally-localized Virtual Biopsy “Gun”: Construct and initial testing

    Delayed cerebrovascular response within deep white matter may alter the cortical-subcortical connections in small vessel disease patients

    Delayed urea differential enhancement CEST (dudeCEST)-MRI with T1 correction for monitoring renal urea handling

    Delineating the grey matter-white matter interface directly from diffusion MRI data

    Delineation of language network maturation during infancy with multi-modal perfusion and functional MRI