Workshop Program

The workshop will be held on Zoom, and it is open to everyone interested!
https://partners.zoom.us/j/87304439088

Please find a tentative program of the workshop which will be held on September 7 – 9 below:

Day1

1500 – 1715 UTCNovel Reconstruction – IModerators: Jon Tamir, Tae Hyung Kim
1500 UTCLearning data consistency for dynamic MR imagingJing Cheng
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
1505 UTCBayesian Image Reconstruction with a Learned PriorGuanxiong Luo
Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen
1510 UTCCompressed sensing MRI with Variable Density Approximate Message Passing (VDAMP)Charles Millard
University of Oxford
1515 UTCProgressively Volumetrized Deep Generative Models for Contextual MRIMahmut Yurt
Bilkent University
1520 UTCOne-heartbeat cardiac CINE: exploiting non-rigid motion correction to improve motion-resolved imagingGastao Cruz
Biomedical Engineering Department, King’s College London
1525 UTCJoint reconstruction of diffusion imaging acquired using time-division multiplexing sequence with complementary k-space samplingLipeng Ning
Brigham and Women’s Hospital
1530 UTCTowards High-Resolution Sodium Imaging with Model-Assisted Deep PriorsYibo Zhao
UIUC
1535 UTCLow-Rank and Framelet Based Sparsity Decomposition for Interventional MRI ReconstructionZhao He
Shanghai Jiao Tong University
1540 UTC25 min brainstorm session
1605 UTCAccelerated MRI reconstruction using LORAKS: Leveraging k-space linear predictability and structured low-rank modeling to predict missing samplesRodrigo A. Lobos
University of Southern California
1610 UTCUntrained neural networks for k-space based reconstructionArghya Pal
Brigham and Women’s Hospital
1615 UTCSelf-supervised and zero-shot deep learning without ground truth data for accelerating MRIBurhaneddin Yaman
University of Minnesota
1620 UTCJoint Magnitude and Phase Constrained Reconstruction for Self-Navigated Cartesian Echo-Planar Time Resolved (scEPTI) Diffusion MRIErpeng Dai
Stanford University
1625 UTCThe 2020 fastMRI Reconstruction Challenge: An overviewBruno Riemenschneider
NYU Department of Radiology and FAU Department of Artificial Intelligence in Biomedical Engineering
1630 UTCRobust Compressed Sensing MRI with Deep Generative PriorsMarius Arvinte
The University of Texas at Austin
1635 UTCSubtle inverse crimes – Naïve usage of Big Data could give rise to biased machine-learning MRI reconstruction algorithmsEfrat Shimron
UC Berkeley
1640 UTCWave-Encoded Model-based Deep Learning for Highly Accelerated 3D ImagingJaejin Cho
MGH
1645 UTCJoint Frequency and Image Space Learning for MRI Reconstruction and Artifact CorrectionNalini Singh
MIT
1650 UTC25 min brainstorm session
15 min break
1730 – 1855 UTC Artifact Mitigation – IModerators: Susie Huang, Erpeng Dai
1730 UTCSlab Boundary Artifact Correction in Multi-slab DWI Using CNN-enabled Inversion for Slab Profile Encoding (CPEN)Jieying Zhang
Tsinghua University
1735 UTCSimultaneous lumen and vessel wall imaging in clinical applicationsCamila Munoz
Biomedical Engineering Department, King’s College London
1740 UTCImproved temporal stability of 3D multi-shot EPI by structured low-rank reconstructionXi Chen
University of Oxford
1745 UTCDynamic Realtime z-Shimming for Ghosting Reduction in Spinal Cord MRIEva Alonso Ortiz
Polytechnique Montreal
1750 UTCDeep learning field map estimation with model-based image reconstruction for off resonance correction of spiral fMRI dataMelissa Haskell
University of Michigan
1755 UTCRadiofrequency scattering and respiratory monitoringDaniel Papp
Polytechnique Montreal
1800 UTCVolumetric and Multispectral Diffusion Weighted Imaging Near Metallic Implants using a Non-Linear Phase CPMG Diffusion PreparationPhilip Lee
Stanford University
1805 UTCDistortion-Free Diffusion MRI Using Self-Navigated Cartesian Echo-Planar Time Resolved Acquisition
(scEPTI)
Erpeng Dai
Stanford University
1810 UTCUniversal Sampling Denoising (USD) of non-Cartesian MRIHong-Hsi Lee
MGH
1815 UTCShimming-Toolbox: An open-source software package for realtime B0 shimming experimentsAlexandre D’Astous
Polytechnique Montreal
1820 UTCDesigning and Implementing Optimized Gradient Waveforms with GrOpt and PulseqMichael Loecher
Stanford University
1825 UTCScan-specific Artifact Reduction in K-space improves wave-encoded reconstructionsYamin Arefeen
MIT
1830 UTC30 min brainstorm session

Day2

1500 – 1715 UTC Novel AcquisitionModerators: Lipeng Ning, Guanhua Wang
1500 UTCWhole-brain 3D diffusion MRI using simultaneous multi-slab (SMSlab) acquisitionSimin Liu
Tsinghua University
1505 UTCHigh-fidelity fast volumetric brain MRI using a hybrid denoising generative adversarial network (HDnGAN)Ziyu Li
MGH
1510 UTCInvestigating spiral perfusion imaging using Pulseq at 7TRuoyun Emily Ma
Maastricht University, The Netherlands
1515 UTCSuper-resolution with SSFPPeter Lally
Imperial College / University of Oxford
1520 UTCNonlinear RF encoding at low-field using the Bloch-Siegert shiftKartiga Selvaganesan
Yale University
1525 UTCIn Vivo Multiphoton Excitation MRIVictor Han
UC Berkeley
1530 UTCLow rank reconstructions for high-speed 3D isotropic speech MRIRiwei Jin
UIUC
1535 UTCVendor-neutral acquisitions improve multicenter reproducibilityAgah Karakuzu
École Polytechnique, University of Montreal
1540 UTC30 min brainstorm session
1610 UTCSelf-calibrating spiral GRAPPA for real-time, multi-slice cardiac imagingDominique Franson
University of Michigan
1615 UTCReduction of reconstruction and calibration latency in Radial GRAPPA with Coil Compression and Multipoint ReconstructionJames Ahad
University of Michigan
1620 UTCAccelerated 3D FRONSACYanitza Rodriguez
Yale University
1625 UTCAccelerated relaxation-diffusion imaging by integrating time-division multiplexing (TDM)Yang Ji
Brigham and Women’s Hospital
1630 UTCDisplacement Spectrum as a New Approach to Flow and Perfusion ImagingEkin Karasan
UC Berkeley
1635 UTCDifferentiable MRI: Joint Optimization Of Non-Cartesian Sampling Trajectory, Physics-informed Reconstruction, and MoreGuanhua Wang
University of Michigan
1640 UTCOn the Feasibility of Hybrid-State based Quantitative MRI at 0.55TSebastian Flassbeck
NYU Department of Radiology and FAU Department of Artificial Intelligence in Biomedical Engineering
1645 UTC30 min brainstorm session
15 min break
1730 – 1900 UTC Artifact mitigation – II, RF Pulse Design & Novel HardwareModerators: Emine Ulku Saritas, Jaejin Cho
1730 UTCSimultaneous super-resolution and motion artifact removal in MRI using unsupervised deep learningHyungjin Chung
Korea Advanced Institute of Science and Technology
1735 UTCReduced FOV Imaging with Unlimited Slice Coverage and Enhanced Off-resonance Robustness using Sheared 2D RF ExcitationBahadir Alp Barlas
Bilkent University
1740 UTCMultiphoton Excitation Pulse DesignVictor Han
UC Berkeley
1745 UTCA Deep Learning Approach for the Correction of Susceptibility Artifacts in Diffusion Weighted MRI ImagesAbdallah Zaid Alkinali
Bilkent University
1750 UTCAcquisition and reconstruction challenges of layer-fMRI VASO in the auditory cortex: A user perspectiveLonike Faes
Maastricht University, The Netherlands
1755 UTCNon-Linear Droop Compensation for Current Waveforms in MRI Gradient SystemsReza Babaloo
Bilkent University
1800 UTCSpace Analysis of Class-E RF Amplifiers for a Transmit Array SystemZiba Arghiani
Bilkent University
1805 UTCDiffusion imaging using a nonlinear gradient coil for prostate MRINahla Elsaid
Yale University
1810 UTCDesign of RF systems for nonlinear encoding at low fieldYonghyun Ha
Yale University
1815 UTCReducing signal dropouts on 7 T Terra through pTx and dielectric padsAaron Anderson
UIUC
1820 UTCField Map Combination of Phase-Cycled Balanced SSFPAnjali Datta
Stanford University
1825 UTC35 min brainstorm session

Day3


1500 – 1715 UTC
Novel Reconstruction – II Moderators: Akshay Chaudhari, Yamin Arefeen
1500 UTCSMS-EPI Reconstruction without SMS Reference: Demonstration Using 7T HCP-style Diffusion AcquisitionZiyi Pan
Tsinghua University
1505 UTCDeep Low-rank plus Sparse Network for Dynamic MR ImagingWenqi Huang
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
1510 UTCEvaluating Wave-CAIPI reconstruction with LORAKSAlejandro Monreal
Maastricht University, The Netherlands
1515 UTCUnsupervised MRI Reconstruction with Generative Vision TransformersSalman UH Dar
Bilkent University
1520 UTCBeyond MSE and SSIM: New Instruments for More Comprehensive Performance Evaluation of Advanced Image Reconstruction MethodsChin-Cheng Chan
University of Southern California
1525 UTCLearning Optimal K-Space Acquisition for Accelerated MRIWei Peng
MGH
1530 UTCNoise2Recon: A Semi-Supervised Framework for Joint MRI Reconstruction and Denoising in Data Limited SettingsArjun Desai
Stanford University, Department of Radiology
1535 UTC20 min brainstorm session
1555 UTCDeep learning reconstruction enables highly accelerated biparametric MR imaging of the prostatePatricia Johnson
NYU Department of Radiology and FAU Department of Artificial Intelligence in Biomedical Engineering
1600 UTCLearn to Better Regularize Constrained ReconstructionYue Guan
Shanghai Jiaotong University
1605 UTCHigh-Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching LossKe Wang
UC Berkeley
1610 UTCCombining the ConvDecoder architecture with model-based regularization for dynamic MR image reconstruction in quantitative imagingKalina Slavkova
Computational Sensing and Imaging Lab, The University of Texas at Austin
1615 UTCAn MR-Multitasking driven integrated imaging framework for MR-guided online adaptive radiotherapyJunzhou Chen
University of Southern California
1620 UTCConstrained MRSI Reconstruction Using Physics-Driven Low-Dimensional Model LearningYahang Li
UIUC
1625 UTCImproving Synthetic MRI from Estimated Quantitative Maps with Deep LearningSidharth Kumar
Computational Sensing and Imaging Lab, The University of Texas at Austin
1630 UTCMulti-shot EPI ghost correction in high-spatial resolution, high-gradient-strength dMRI with advanced k-space reconstructionGabriel Ramos Llorden
MGH
1635 UTC15 min brainstorm session
15 min break
1705 – 1900 UTCQuantitative ImagingModerators: Audrey Fan, Fan Lam
1705 UTCModel-based reconstruction with automatic differentiation for single-shot myocardial T1 mapping using radial MOLLI with FLASH readoutXiaoqing Wang
Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen
1710 UTCHighly Accelerated Free-running 3D T1/T2 Myocardial Mapping using Non-rigid Cardiac Motion CorrectionAndrew Phair
Biomedical Engineering Department, King’s College London
1715 UTCPerformance Analysis of Diffusion Metrics for Undersampled Multi-Shell Diffusion MRIElif Aygun
Bilkent University
1720 UTCFree-breathing fat and R2* mapping using multi-echo radial FLASH and model-based reconstructionZhengguo Tan
Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen
1725 UTCDiffusion-Relaxation Correlation Spectroscopic Imaging: From Experiment Design to Spatial Mapping of MicrostructureDaeun Kim
University of Southern California
1730 UTCHigh-Resolution Quantitative Diffusion-Weighted MRSI Using Subspace ImagingZepeng Wang
UIUC
1735 UTCDynamic vascular magnetic resonance fingerprinting of cerebral physiologyGreg Wheeler
UC Davis
1740 UTCSubvoxel Susceptibility Composition of QSM using DECOMPOSEJingjia Chen
UC Berkeley
1745 UTC20 min brainstorm session
1805 UTCQuantitative BOLD modeling of brain oxygenation during vasodilationLinh Le
UC Davis
1810 UTCProspective Evaluation of a Deep Learning-Based Reconstruction Framework for Highly Accelerated 2D Phase Contrast MRIMatthew J. Middione
Stanford
1815 UTCReproducibility of multi-parametric R2’ measurements to assess cerebrovascular diseaseDenise Zhong
UC Davis
1820 UTCT1, T2, and R2* mapping with Rosette MRFEvan Cummings
University of Michigan
1825 UTCQuantitative parameter mapping from single contrast imaging using bilinearly constrained minimizationNahla Elsaid
Yale University
1830 UTCT1 mapping : promise and pitfallsMathieu Boudreau
École Polytechnique, University of Montreal
1835 UTCQuantifying exchange using optimized small-tip fast recovery (STFR) sequencesNaveen Murthy
University of Michigan
1840 UTCMR parameter mapping with unsupervised scan-specific neural networksTae Hyung Kim
MGH
1845 UTC15 min brainstorm session & closing