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A deep learning network for low-field MRI denoising using group sparsity information and a Noise2Noise method

Author:Yuan Lian  Xinyu Ye  Hai Luo  Ziyue Wu  Hua Guo  

Session Type:Online Gather.town Pitches  

Session Date:Wednesday, 11 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Machine Learning & Artificial Intelligence III  

Program Number:4345  

Room Session:2  

Institution:Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University  Marvel Stone Healthcare Co., Ltd.  

Deeping-Learningbasedacceleration for Serial MRimagingusing Transformer (SMR-Transformer): Comparison with CNNonThree Datasets

Author:Chuyu Liu  Shuo Chen  Yibing Chen  Rui Li  Xiaolei Song  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quality Assessment & Data Harmonization I  

Program Number:1796  

Room Session:Exhibition Hall:S8 & S9  

Institution:Northwest University  Tsinghua University  

Deep-learning based brain tumor segmentation using quantitative MRI

Author:Iulian Tampu  Ida Blystad  Neda Haj-Hosseini  Anders Eklund  

Session Type:Digital Poster  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quantitative Imaging II  

Program Number:2603  

Room Session:Exhibition Hall:S8 & S9  

Institution:Linkoping University  Region Östergötland, Center for Diagnostics  

Deep-learning-based raw data generation for deep-learning-based image reconstruction

Author:Frank Zijlstra  Peter While  

Session Type:Oral  

Session Date:Monday, 09 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Deep/Machine Learning-Based Image Acquisition & Reconstruction  

Program Number:0049  

Room Session:N11 (Breakout A)  

Institution:St. Olav's University Hospital  NTNU - Norwegian University of Science and Technology  

Denoising Diffusion MRI with Self-supervised Learning on Coresets via Matrix Sketching

Author:Shreyas Fadnavis  Agniva Chowdhury  Petros Drineas  Eleftherios Garyfallidis  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Deep/Machine Learning-Based Image Acquisition & Reconstruction II  

Program Number:1160  

Room Session:Exhibition Hall:S8 & S9  

Institution:Indiana University Bloomington  Purdue University  

Developing pattern recognition models to extract longitudinal network-based measures at an individual level

Author:Elisa Colato  Claudia Wheeler-Kingshott  Douglas Arnold  Frederik Barkhof  Olga Ciccarelli  Declan Chard  Arman Eshaghi  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quality Assessment & Data Harmonization I  

Program Number:1795  

Room Session:Exhibition Hall:S8 & S9  

Institution:McGill University  University College London (UCL)  C. Mondino National Neurological Institute  University College London Hospitals (UCLH) Biomedical Research Centre (BRC)  University of Pavia  VU medical centre  

Differentiation between glioblastoma and solitary brain metastasis using mean apparent propagator-MRI: a Radiomics analysis

Author:Xiaoyue Ma  Guohua Zhao  Eryuan Gao  Jinbo Qi  Kai Zhao  Ankang Gao  Jie Bai  Huiting Zhang  Xu Yan  Guang Yang  Jingliang Cheng  

Session Type:Online Gather.town Pitches  

Session Date:Wednesday, 11 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Machine Learning & Artificial Intelligence IV  

Program Number:4341  

Room Session:3  

Institution:MR Scientific Marketing, Siemens Healthineers  Shanghai Key Laboratory of Magnetic Resonance, East China Normal University  The First Affiliated Hospital of Zhengzhou University  

DL2: Robustness of Deep Learning Processing on Deep Learning reconstructed Lumbar Spine MRI

Author:Madeline Hess  Emma Bahroos  Misung Han  Kenneth Gao  Valentina Pedoia  Sharmila Majumdar  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Deep/Machine Learning-Based Image Acquisition & Reconstruction II  

Program Number:1164  

Room Session:Exhibition Hall:S8 & S9  

Institution:University of California, San Francisco  

DL-MOTIF:DeepLearning BasedMotionTransformationIntegratedForward-Fourier Reconstruction for Free-Breathing Liver DCE-MRI

Author:Sihao Chen  Weijie Gan  Cihat Eldeniz  Ulugbek Kamilov  Tyler Fraum  Hongyu An  

Session Type:Online Gather.town Pitches  

Session Date:Monday, 09 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Machine Learning & Artificial Intelligence II  

Program Number:3469  

Room Session:5  

Institution:Washington University in St. Louis  

Efficient Network for Diffusion-Weighted Image Interpolation and Accelerated Shell Sampling

Author:Eric Pierre  Kieran O'Brien  Thorsten Feiweier  Josef Pfeuffer  Daniel Staeb  

Session Type:Online Gather.town Pitches  

Session Date:Monday, 09 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Machine Learning & Artificial Intelligence I  

Program Number:3522  

Room Session:4  

Institution:Siemens Healthcare GmbH  Siemens Healthcare Pty Ltd  The Florey Institute of Neuroscience  

Efficient six-direction DTI tensor estimation using model-based deep learning

Author:Jialong Li  Qiqi Lu  Qiang Liu  Yanqiu Feng  Xinyuan Zhang  

Session Type:Online Gather.town Pitches  

Session Date:Wednesday, 11 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Machine Learning & Artificial Intelligence IV  

Program Number:4337  

Room Session:3  

Institution:Southern Medical University  

An End-to-End Segmentation Pipeline for Dixon Adipose and Muscle by Neural Nets (DAMNN)

Author:Karl Landheer  Jonathan Marchini  Benjamin Geraghty  Prodromos Parasoglou  Stefanie Hectors  Farshid Sepehrband  Nicholas Gale  Andrew Murphy  Johnathon Walls  Mary Germino  

Session Type:Oral  

Session Date:Wednesday, 11 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Deep/Machine Learning-Based Image Analysis  

Program Number:0554  

Room Session:N11 (Breakout B)  

Institution:Regeneron Pharmaceuticals, Inc  

Exploring the potential of StyleGAN projection for quantitative maps from diffusion-weighted MR images

Author:Daniel Güllmar  Wei-Chan Hsu  Stefan Ropele  Jürgen Reichenbach  

Session Type:Online Gather.town Pitches  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Machine Learning & Artificial Intelligence V  

Program Number:4814  

Room Session:2  

Institution:Jena University Hospital  Medical University Graz  Michael Stifel Center Jena for Data-Driven and Simulation Science  

Fast and Calibrationless Low-Rank Reconstruction through Deep Learning Estimation of Multi-Channel Spatial Support

Author:Zheyuan Yi  Yujiao Zhao  Linfang Xiao  Yilong Liu  Christopher Man  Jiahao Hu  Vick Lau  Alex Leong  Fei Chen  Ed X. Wu  

Session Type:Online Gather.town Pitches  

Session Date:Wednesday, 11 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Machine Learning & Artificial Intelligence III  

Program Number:4344  

Room Session:2  

Institution:Southern University of Science and Technology  The University of Hong Kong  

Fast and High-Resolution T2* weighted and susceptibility-based MRI using 3D-EPI with Deep Learning Reconstruction

Author:Brice Fernandez  R. Marc Lebel  Xinzeng Wang  Arnaud Guidon  Suchandrima Banerjee  Stefan Skare  Tim Sprenger  

Session Type:Digital Poster  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quantitative Imaging I  

Program Number:2522  

Room Session:Exhibition Hall:S8 & S9  

Institution:GE Healthcare  Karolinska University Hospital  Karolinska Institutet  

Fully Connected Deep Neural Network combined with Segmented Least Square Fitting for improved extraction of IVIM Parameters

Author:Alfonso Mastropietro  Elisa Scalco  Daniele Procissi  Nicola Bertolino  Giovanna Rizzo  

Session Type:Digital Poster  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quantitative Imaging I  

Program Number:2525  

Room Session:Exhibition Hall:S8 & S9  

Institution:Consiglio Nazionale delle Ricerche  Northwestern University  

GRASPNET: Spatiotemporal deep learning reconstruction of golden-angle radial data for free-breathing dynamic contrast-enhanced MRI

Author:Ramin Jafari  Richard Do  Maggie Fung  Ersin Bayram  Ricardo Otazo  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Deep/Machine Learning-Based Image Acquisition & Reconstruction II  

Program Number:1159  

Room Session:Exhibition Hall:S8 & S9  

Institution:GE Healthcare  Memorial Sloan Kettering Cancer Center  

Grey Matter Connectome Data Analysis and Classification of Multiple Sclerosis Clinical Profiles

Author:Berardino Barile  Claudio Stamile  Sabine Van Huffel  Dominique Sappey-Marinier  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quality Assessment & Data Harmonization I  

Program Number:1792  

Room Session:Exhibition Hall:S8 & S9  

Institution:KU Leuven  R&D Department CGnal Milan, Italy  Université Claude Bernard-Lyon1 & INSA-Lyon, France  

High efficient Bloch simulation of MRI sequences based on deep learning

Author:Haitao Huang  Qinqin Yang  Zhigang Wu  Jianfeng Bao  Jingliang Cheng  Shuhui Cai  Congbo Cai  

Session Type:Online Gather.town Pitches  

Session Date:Wednesday, 11 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Machine Learning & Artificial Intelligence IV  

Program Number:4336  

Room Session:3  

Institution:Philips Healthcare  Xiamen University  Zhengzhou University  

High-quality Reconstruction of Volumetric Diffusion Kurtosis Metrics via Residual Learning Network and Perceptual Loss

Author:Min Feng  Qiqi Tong  Yingying Li  Bo Dong  Jianhui Zhong  Hongjian He  

Session Type:Online Gather.town Pitches  

Session Date:Wednesday, 11 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Machine Learning & Artificial Intelligence III  

Program Number:4346  

Room Session:2  

Institution:University of Rochester  Zhejiang Lab  Zhejiang University  

A Hybrid Dual Domain Deep Learning Framework for Cardiac MR Image Reconstruction

Author:Rameesha Khawaja  Amna Ammar  Madiha Arshad  Faisal Najeeb  Hammad Omer  

Session Type:Online Gather.town Pitches  

Session Date:Wednesday, 11 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Machine Learning & Artificial Intelligence III  

Program Number:4357  

Room Session:2  

Institution:Comsats University  

Hybrid supervised and self-supervised deep learning for quantitative mapping from weighted images using low-resolution labels

Author:Shihan Qiu  Anthony Christodoulou  Yibin Xie  Debiao Li  

Session Type:Digital Poster  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quantitative Imaging II  

Program Number:2609  

Room Session:Exhibition Hall:S8 & S9  

Institution:Biomedical Imaging Research Institute, Cedars-Sinai Medical Center  UCLA  

Hypergraph learning-based convolutional neural network for classification of brain functional connectome

Author:Junqi Wang  Hailong Li  Gang Qu  Jonathan Dillman  Nehal Parikh  Lili He  

Session Type:Online Gather.town Pitches  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Machine Learning & Artificial Intelligence V  

Program Number:4803  

Room Session:2  

Institution:Cincinnati Children's Hospital Medical Center  Tulane University  University of Cincinnati College of Medicine  

Image enhancement of Quasi-Diffusion Imaging using a fully connected neural network

Author:Ian Storey  Catherine Spilling  Xujiong Ye  Thomas Barrick  Franklyn Howe  

Session Type:Digital Poster  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quantitative Imaging II  

Program Number:2608  

Room Session:Exhibition Hall:S8 & S9  

Institution:King's College London  St George's, University of London  University of Lincoln  

Image Quality Transfer improves the potential clinical value of low-field MRI

Author:Matteo Figini  Hongxiang Lin  Felice D'Arco  Godwin Ogbole  Maria Rossi Espagnet  Olalekan Oyinloye  Joseph Yaria  Donald Nzeh  Mojisola Atalabi  Lisa Ronan  David Carmichael  Judith Cross  Ikeoluwa Lagunju  Delmiro Fernandez-Reyes   Alexande  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quality Assessment & Data Harmonization II  

Program Number:1874  

Room Session:Exhibition Hall:S8 & S9  

Institution:College of Medicine, University of Ibadan  Great Ormond Street Hospital for Children  King's College London  Sapienza University  UCL Great Ormond Street Institute of Child Health  University College Hospital Ibadan  University College London  University  

Impact Of MR Intensity Normalization For Different MR Sequences In MRI Based Radiomics Studies

Author:Patrick Salome  Francesco Sforazzini  Andreas Kudak  Matthias Dostal  Nina Bougatf  Jürgen Debus  Maximilian Knoll  Amir Abdollahi  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quality Assessment & Data Harmonization II  

Program Number:1871  

Room Session:Exhibition Hall:S8 & S9  

Institution:German Cancer Research Center (DKFZ)  Heidelberg Ion-Beam Therapy Center (HIT)  Heidelberg University Hospital  German Cancer Consortium (DKTK) Core Center  National Center for Tumor Diseases (NCT)  

Improved detection of multiple kidney pH compartments by deep learning in MRS and MRSI with hyperpolarized 13C-labelled zymonic acid

Author:Martin Grashei  Wai-Yan Ryana Fok  Jason Skinner  Bjoern Menze  Franz Schilling  

Session Type:Digital Poster  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quantitative Imaging I  

Program Number:2526  

Room Session:Exhibition Hall:S8 & S9  

Institution:Technical University of Munich  TUM School of Medicine, Klinikum Rechts der Isar, Technical University of Munich  

Improving Across-Dataset Brain Tissue Segmentation Using Transformer

Author:Vishwanatha Rao  Zihan Wan  David Ma  Ye Tian  Jia Guo  

Session Type:Online Gather.town Pitches  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Machine Learning & Artificial Intelligence V  

Program Number:4817  

Room Session:2  

Institution:Columbia University  

Improving the accessibility of deep learning-based denoising for MRI using transfer learning and self-supervised learning

Author:Qiyuan Tian  Ziyu Li  Wei-Ching Lo  Berkin Bilgic  Jonathan Polimeni  Susie Huang  

Session Type:Online Gather.town Pitches  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Machine Learning & Artificial Intelligence V  

Program Number:4811  

Room Session:2  

Institution:Massachusetts General Hospital, Harvard Medical School  Siemens Medical Solutions  University of Oxford  

Improving Synthetic MRI from Estimated Quantitative Maps with Deep Learning

Author:Sidharth Kumar  Jonathan Tamir  

Session Type:Online Gather.town Pitches  

Session Date:Monday, 09 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Machine Learning & Artificial Intelligence I  

Program Number:3512  

Room Session:4  

Institution:University of Texas at Austin  

Inter-scanner harmonization of T1-weighted brain images using 3D CycleGAN

Author:Vincent Roca  Grégory Kuchcinski  Morgan Gautherot  Xavier Leclerc  Jean-Pierre Pruvo  Renaud Lopes  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quality Assessment & Data Harmonization II  

Program Number:1882  

Room Session:Exhibition Hall:S8 & S9  

Institution:Univ Lille, UMS 2014 – US 41 – PLBS – Plateformes Lilloises en Biologie & Santé  Univ Lille, Inserm, Lille Neuroscience & Cognition  

Intrinsic reproducibility issues in deep learning-based MR reconstruction

Author:Chungseok Oh  Woojin Jung  Jongho Lee  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Deep/Machine Learning-Based Image Acquisition & Reconstruction II  

Program Number:1165  

Room Session:Exhibition Hall:S8 & S9  

Institution:AIRS Medical Inc.  Seoul National University  

Investigating complex-valued neural networks applied to phase-cycled bSSFP for multi-parametric quantitative tissue characterization

Author:Florian Birk  Julius Steiglechner  Klaus Scheffler  Rahel Heule  

Session Type:Digital Poster  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quantitative Imaging I  

Program Number:2532  

Room Session:Exhibition Hall:S8 & S9  

Institution:Max Planck Institute for Biological Cybernetics  University of Tübingen  

Isolating cardiac-related pulsatility in blood oxygenation level-dependent MRI with deep learning

Author:Jake Valsamis  Nicholas Luciw  Nandinee Haq  Sarah Atwi  Simon Duchesne  William Cameron  Bradley MacIntosh  

Session Type:Digital Poster  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quantitative Imaging II  

Program Number:2607  

Room Session:Exhibition Hall:S8 & S9  

Institution:Laval University  Sunnybrook Research Institute  Quebec City Mental Health Institute  University of Toronto  

Iterative RAKI with complex-valued convolution for improved image reconstruction with limited training samples

Author:Peter Dawood  Martin Blaimer  Felix Breuer  Paul Burd  István Homolya  Peter Jakob  Johannes Oberberger  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Deep/Machine Learning-Based Image Acquisition & Reconstruction I  

Program Number:1053  

Room Session:Exhibition Hall:S8 & S9  

Institution:Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits IIS, Division Development Center X-Ray Technology  Research Centre for Natural Sciences  University Hospital Würzburg  University of Würzburg  Budapest University of Technology and Economics  

k-Space Interpolation for Accelerated MRI Using Deep Generative Models

Author:Zhuo-Xu Cui  Sen Jia  Zhilang Qiu  Qingyong Zhu  Yuanyuan Liu  Jing Cheng  Leslie Ying  Yanjie Zhu  Dong Liang  

Session Type:Online Gather.town Pitches  

Session Date:Wednesday, 11 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Machine Learning & Artificial Intelligence IV  

Program Number:4334  

Room Session:3  

Institution:Department of Biomedical Engineering and the Department of Electrical Engineering, The State University of New York  Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences  Natio  

A k-space transformer network for undersampled radial MRI

Author:Chang Gao  Shu-Fu Shih  Vahid Ghodrati  Paul Finn  Peng Hu  Xiaodong Zhong  

Session Type:Online Gather.town Pitches  

Session Date:Monday, 09 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Machine Learning & Artificial Intelligence I  

Program Number:3515  

Room Session:4  

Institution:Siemens Medical Solutions USA, Inc.  University of California Los Angeles  

LeaRning nonlineAr representatIon and projectIon for faSt constrained MRSI rEconstruction (RAIISE)

Author:Yahang Li  Loreen Ruhm  Anke Henning  Fan Lam  

Session Type:Online Gather.town Pitches  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Machine Learning & Artificial Intelligence V  

Program Number:4808  

Room Session:2  

Institution:University of Illinois Urbana-Champaign  University of Texas Southwestern Medical Center (UTSW)  Beckman Institute for Advanced Science and Technology  Max Planck Institute for Biological Cybernetics  Cancer Center at Illinois  

Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks

Author:Wei Peng  Li Feng  Guoying Zhao  Fang Liu  

Session Type:Oral  

Session Date:Monday, 09 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Deep/Machine Learning-Based Image Acquisition & Reconstruction  

Program Number:0050  

Room Session:N11 (Breakout A)  

Institution:Harvard Medical School  Icahn School of Medicine at Mount Sinai  University of Oulu  

Low-rank Parallel Imaging Reconstruction Imbedded with a Deep Learning Prior Module

Author:Linfang Xiao  Yilong Liu  Zheyuan Yi  Yujiao Zhao  Alex Leong  Ed Wu  

Session Type:Online Gather.town Pitches  

Session Date:Wednesday, 11 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Machine Learning & Artificial Intelligence III  

Program Number:4347  

Room Session:2  

Institution:Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong  Department of Electrical and Electronic Engineering, The University of Hong Kong  

Machine Enhanced Reconstruction Learning and Interpretation Networks (MERLIN)

Author:Kerstin Hammernik  Thomas Küstner  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Deep/Machine Learning-Based Image Acquisition & Reconstruction I  

Program Number:1051  

Room Session:Exhibition Hall:S8 & S9  

Institution:Technical University of Munich  University Hospital of Tuebingen  Imperial College London  

Mammography Lesion ROI Drawing Guided by Breast MRI MIP to Extract Features from Corresponding Lesions to Build Radiomics Diagnostic Models

Author:Yan-Lin Liu  Zhongwei Chen  Youfan Zhao  Yang Zhang  Jiejie Zhou  Jeon-Hor Chen  Ke Nie  Meihao Wang  Min-Ying Su  

Session Type:Online Gather.town Pitches  

Session Date:Monday, 09 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Machine Learning & Artificial Intelligence II  

Program Number:3461  

Room Session:5  

Institution:Rutgers-Cancer Institute of New Jersey, Robert Wood Johnson Medical School  The First Affiliated Hospital of Wenzhou Medical University  University of California  

A Microstructural Estimation Transformer with Sparse Coding for NODDI (METSCN)

Author:Tianshu Zheng  Yi-Cheng Hsu  Yi Sun  Yi Zhang  Chuyang Ye  Dan Wu  

Session Type:Online Gather.town Pitches  

Session Date:Wednesday, 11 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Machine Learning & Artificial Intelligence IV  

Program Number:4343  

Room Session:3  

Institution:Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, Zhejiang, China  MR Collaboration, Siemens Healthineers Ltd., Shanghai, China  School of Information and Electronics, Beijing Inst  

Mitigating synthetic T2-FLAIR artifacts in 2D MAGiC using keyhole and deep learning based image reconstruction

Author:Sudhanya Chatterjee  Naoyuki Takei  Rohan Patil  Sugmin Gho  Suchandrima Banerjee  Florian Wiesinger  Dattesh Shanbhag  

Session Type:Power Pitch  

Session Date:Tuesday, 10 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Pitch: Image Acquisition, Reconstruction & Modeling  

Program Number:0306  

Room Session:Power Pitch Theatre 2  

Institution:GE Healthcare  

The More the Merrier? - On the Number of Trainable Parameters in Iterative Neural Networks for Image Reconstruction

Author:Andreas Kofler  Tobias Schaeffter  Christoph Kolbitsch  

Session Type:Oral  

Session Date:Monday, 09 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Deep/Machine Learning-Based Image Acquisition & Reconstruction  

Program Number:0051  

Room Session:N11 (Breakout A)  

Institution:Physikalisch-Technische Bundesanstalt  King's College London  Technische Universität Berlin  

Motion2Recon: A Motion-Robust Semi-Supervised Framework for MR Reconstruction

Author:Harris Beg  Beliz Gunel  Batu Ozturkler  Christopher Sandino  John Pauly  Shreyas Vasanawala  Akshay Chaudhari  Arjun Desai  

Session Type:Power Pitch  

Session Date:Tuesday, 10 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Pitch: Image Acquisition, Reconstruction & Modeling  

Program Number:0301  

Room Session:Power Pitch Theatre 2  

Institution:California Institute of Technology  Stanford University  

Motion-robust dynamic abdominal MRI using k-t GRASP and dynamic dual-channel training of super-resolution U-Net (DDoS-UNet)

Author:Chompunuch Sarasaen  Soumick Chatterjee  Georg Rose  Andreas Nürnberger  Oliver Speck  

Session Type:Online Gather.town Pitches  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Machine Learning & Artificial Intelligence V  

Program Number:4816  

Room Session:2  

Institution:Otto von Guericke University  German Center for Neurodegenerative Disease  Center for Behavioral Brain Sciences  Leibniz Institute for Neurobiology  

MR image enhancement using a multi-task neural network trained using only synthetic data

Author:Kevin Blansit  Zhehao Hu  Greg Zaharchuk  Enhao Gong  Keshav Datta  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quality Assessment & Data Harmonization II  

Program Number:1878  

Room Session:Exhibition Hall:S8 & S9  

Institution:Subtle Medical  

Multi-Scale Evaluation of Uncertainty Quantification Techniques for Deep Learning based MRI Segmentation

Author:Benjamin Lambert  Florence Forbes  Alan Tucholka  Senan Doyle  Michel Dojat  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quality Assessment & Data Harmonization I  

Program Number:1791  

Room Session:Exhibition Hall:S8 & S9  

Institution:Pixyl, Research and Development Laboratory, 38000  Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LJK, 38000  Univ. Grenoble Alpes, Inserm, U1216, Grenoble Institut Neurosciences, GIN, 38000  

Noise2Average: deep learning based denoising without high-SNR training data using iterative residual learning

Author:Zihan Li  Berkin Bilgic  Ziyu Li  Kui Ying  Jonathan Polimeni  Susie Huang  Qiyuan Tian  

Session Type:Online Gather.town Pitches  

Session Date:Wednesday, 11 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Machine Learning & Artificial Intelligence IV  

Program Number:4338  

Room Session:3  

Institution:Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital  Department of Biomedical Engineering, Tsinghua University  Department of Engineering Physics, Tsinghua University  Nuffield Department of Clinica