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

Author:Ingo Hermann  Alena-Kathrin Golla  Eloy Martinez-Heras  Ralf Schmidt  Elisabeth Solana  Sara Llufriu  Achim Gass  Lothar Schad  Sebastian Weingärtner  Frank Zöllner  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:2180  

Room Session:Concurrent 1  

Institution:Delft University of Technology  Universitat de Barcelona  University Heidelberg  

Deep Learning Segmentation of Lenticulostriate Arteries Using 3T and 7T 3D Black-Blood MRI

Author:Samantha Ma  Mona Sharifi Sarabi  Kai Wang  Wenli Tan  Huiting Wu  Lei Hao  Yulan Dong  Hong Zhou  Lirong Yan  Yonggang Shi  Danny Wang  

Session Type:Oral  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Program Number:0603  

Room Session:Concurrent 6  

Institution:Siemens Medical Solutions USA, Inc.  The First Affiliated Hospital of University of South China  University of Southern California  

Deep Learning Segmentation of Rectal Cancer on MRI

Author:Endre Grøvik  Darvin Yi  Franziska Knuth  Sebastian Meltzer  Anne Negård  Kathrine Røe Redalen  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Cancer in the Body  

Session Name:GI & Pancreas Cancers  

Program Number:2333  

Room Session:Concurrent 5  

Institution:Akershus University Hospital  Norwegian University of Science and Technology  Oslo University Hospital  University of Illinois at Chicago  University of South-Eastern Norway  

Deep learning super-resolution for sub-50-micron MRI of genetically engineered mouse embryos

Author:Zihao Chen  Yuhua Chen  Ankur Saini  William Devine  Yibin Xie  Cecilia Lo  Debiao Li  Yijen Wu  Anthony Christodoulou  

Session Type:Oral  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Program Number:0601  

Room Session:Concurrent 6  

Institution:Cedars-Sinai Medical Center  University of Pittsburgh  UCLA  

Deep learning super-resolution MR spectroscopic imaging to map tumor metabolism in mutant IDH glioma patients

Author:Xianqi Li  Bernhard Strasser  Kourosh Jafari-Khouzani  Daniel P Cahill  Jorg Dietrich  Tracy T Batchelor  Martin Bendszus  Ulf Neuberger  Philipp Vollmuth  Ovidiu Andronesi  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Cutting-Edge MR & the Brain Tumor Microenvironment  

Session Name:Advanced Brain Tumor Imaging  

Program Number:3907  

Room Session:Concurrent 6  

Institution:Massachusetts General Hospital,  Heidelberg University Hospital  IBM Watson Health  Massachusetts General Hospital  

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

Author:Abidemi Adebayo  Keshav Datta  Ronald Watkins  Shie-Chau Liu  Ralph Hurd  Daniel Spielman  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Spectroscopy: Acq/Recon/Analysis  

Session Name:Spectroscopy: Analysis/Quantification  

Program Number:2017  

Room Session:Concurrent 2  

Institution:Stanford University  

Deep learning-based 4D synthetic CT for lung radiotherapy

Author:Matteo Maspero  Kirsten Kerkering  Tom Bruijnen  Mark Savenije  Joost Verhoeff  Christoph Kolbitsch  Cornelis van den Berg  

Session Type:Combined Educational & Scientific Session  

Session Date:Thursday, 20 May 2021  

Topic:Interventional & Low-Field MRI  

Session Name:Interventional & Low-Field MRI  

Program Number:0798  

Room Session:Concurrent 3  

Institution:Physikalisch-Technische Bundesanstalt (PTB)  UMC Utrecht  

Deep Learning-based Adaptive Image Combination for Signal-Dropout Suppression in Liver DWI

Author:Fasil Gadjimuradov  Thomas Benkert  Marcel Nickel  Andreas Maier  

Session Type:Oral  

Session Date:Wednesday, 19 May 2021  

Topic:(Artificial) Intelligence in the Body  

Session Name:(Artificial) Intelligence in the Body  

Program Number:0534  

Room Session:Concurrent 5  

Institution:Friedrich-Alexander-Universität Erlangen-Nürnberg  Siemens Healthcare GmbH  

Deep Learning-based Automatic Detection and Segmentation of Brain Metastases Using Multi-Task Learning with 3D Black-Blood and GRE Imaging

Author:Yohan Jun*  Yae Won Park*  Yangho Lee  Kyunghwa Han  Chansik An  Seung-Koo Lee  Sung Soo Ahn**  Dosik Hwang**  

Session Type:Combined Educational & Scientific Session  

Session Date:Wednesday, 19 May 2021  

Topic:Emerging Applications of AI in Neuroimaging  

Session Name:Emerging Applications of AI in Neuroimaging  

Program Number:0662  

Room Session:Concurrent 6  

Institution:National Health Insurance Service Ilsan Hospital  Yonsei University  Yonsei University College of Medicine  

Deep learning-based Cerebral Microbleeds detection on quantitative susceptibility mapping(QSM) for Stroke Cohort

Author:Peng Xia  Zuojun Wang  Han Yu  Fan Huang  Henry MAK  Edward Hui  Peng Cao  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Emerging Applications of AI in Neuroimaging  

Session Name:Emerging Applications of AI in Neuroimaging for CES I  

Program Number:3491  

Room Session:Concurrent 6  

Institution:The Hong Kong Polytechnic University  The University of Hong Kong  

Deep learning-based detection of liver disease using MRI

Author:Mark Pinnock  Yipeng Hu  Alan Bainbridge  David Atkinson  Rajeshwar Mookerjee  Stuart Taylor  Dean Barratt  Manil Chouhan  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:(Artificial) Intelligence in the Body  

Session Name:Even More (Artificial) Intelligence in the Body  

Program Number:2988  

Room Session:Concurrent 5  

Institution:University College London  University College London Hospitals NHS Foundation Trust  

Deep learning-based DWI Denoising method that suppressed the "instability" problem

Author:Hayato Nozaki  Yasuhiko Tachibana  Yujiro Otsuka  Wataru Uchida  Yuya Saito  Koji Kamagata  Shigeki Aoki  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Diffusion: Encoding & Estimation  

Session Name:Diffusion: Encoding, Estimation & Machine Learning  

Program Number:2442  

Room Session:Concurrent 3  

Institution:Department of Molecular Imaging and Theranostics National Institute of Radiological Sciences National Institutes for Quantum and Radiological Science and Technology  Department of Radiology, Graduate School of Medicine, Juntendo University  Miliman  Graduate School of Human Health Sciences, Tokyo Metropolitan University  

Deep Learning-Based ESPIRiT Reconstruction for Accelerated 2D Phase Contrast MRI: Analysis of the Impactof Reconstruction Induced Phase Errors

Author:Matthew Middione  Julio Oscanoa  Michael Loecher  Christopher Sandino  Shreyas Vasanawala  Daniel Ennis  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging II  

Program Number:2658  

Room Session:Concurrent 2  

Institution:Stanford University  

Deep Learning-based high-resolution pseudo-CT to detect cranial bone abnormalities for pediatric patients using MRI

Author:Parna Eshraghi Boroojeni  Yasheng Chen  Paul Commean  Cihat Eldeniz  Udayabhanu Jammalamadaka  Gary Skolnick  Kamlesh Patel  Hongyu An  

Session Type:Oral  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Program Number:0607  

Room Session:Concurrent 6  

Institution:Washington University in St. Louis  

Deep Learning-based image reconstruction improves CEST MRI

Author:Shu Zhang  Xinzeng Wang  F. William Schuler  R. Marc Lebel  Mitsuharu Miyoshi  Ersin Bayram  Elena Vinogradov  Jason Johnson  Jingfei Ma  Mark Pagel  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:CEST, MT & T1?  

Session Name:CEST  

Program Number:1457  

Room Session:Concurrent 4  

Institution:GE Healthcare  GE Healthcare Japan  MD Anderson Cancer Center  UT Southwestern Medical Center  

Deep Learning-Based Liver Fat and R2* Mapping with Uncertainty Estimation using Self-Gated Free-Breathing Stack-of-Radial MRI

Author:Shu-Fu Shih  Sevgi Kafali  Tess Armstrong  Xiaodong Zhong  Kara Calkins  Holden Wu  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Fat & Metabolism  

Session Name:Fat & Metabolism I  

Program Number:3847  

Room Session:Concurrent 4  

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

Deep Learning-based MR-only Radiation Therapy Planning for Head&Neck and Pelvis

Author:Florian Wiesinger  Sandeep Kaushik  Mathias Engström  Mika Vogel  Graeme McKinnon  Maelene Lohezic  Vanda Czipczer  Bernadett Kolozsvári  Borbála Deák-Karancsi  Renáta Czabány  Bence Gyalai  Dorottya Hajnal  Zsófia Karancsi  Steven Petit  Juan Hernandez Tamames  Marta Capala  Gerda Verduijn  Jean-Paul Kleijnen  Hazel Mccallum  Ross Maxwell  Jonathan Wyatt  Rachel Pearson  Katalin Hideghéty  Emoke Borzasi  Zsófia Együd  Renáta Kószó  Viktor Paczona  Zoltán Végváry  Suryanarayanan Kaushik  Xinzeng Wang  Cristina Cozzini  László Ruskó  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Interventional, Multimodal & Auxiliary Engineering  

Session Name:MR-Guided Interventions: Methods  

Program Number:4248  

Room Session:Concurrent 3  

Institution:Erasmus MC  GE Healthcare  Newcastle University  University of Szeged  

Deep Learning-Based Needle Tracking Trained on Bloch-Simulated Data and Evaluated on Clinical Real-Time bSSFP Images

Author:Ralf Vogel  Dieter Ritter  Jonathan Weine  Jonas Faust  Elodie Breton  Julien Garnon  Afshin Gangi  Andreas Maier  Florian Maier  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Interventional, Multimodal & Auxiliary Engineering  

Session Name:MR-Guided Interventions: Methods  

Program Number:4247  

Room Session:Concurrent 3  

Institution:Friedrich-Alexander-Universität Erlangen-Nürnberg  Siemens Healthcare  TU Dortmund  Universität Heidelberg  University of Strasbourg, CNRS, FMTS  Hôpitaux Universitaires de Strasbourg  

Deep learning-based reconstruction for 3D coronary MR angiography with a 3D variational neural network (3D-VNN)

Author:Ioannis Valasakis  Haikun Qi  Kerstin Hammernik  Gastao Cruz  Daniel Rueckert  Claudia Prieto  Rene Botnar  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging II  

Program Number:2660  

Room Session:Concurrent 2  

Institution:Imperial College London  King's College London  Technical University of Munich  

Deep learning-based reconstruction of highly-accelerated 3D MRI MPRAGE images

Author:Sangtae Ahn  Uri Wollner  Graeme McKinnon  Rafi Brada  John Huston  J. DeMarco  Robert Shih  Joshua Trzasko  Dan Rettmann  Isabelle Heukensfeldt Jansen  Christopher Hardy  Thomas Foo  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning to Reconstruct Accelerated Scans  

Program Number:1973  

Room Session:Concurrent 1  

Institution:GE Healthcare  GE Research  Mayo Clinic College of Medicine  Walter Reed National Military Medical Center  Uniformed Services University of the Health Sciences  

Deep Learning-Based Respiratory Navigator Echo (DLnav) for Robust Free-Breathing Abdominal MRI

Author:Yuji Iwadate  Atsushi Nozaki  Shigeo Okuda  Tetsuya Wakayama  Masahiro Jinzaki  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:Motion Correction Strategies  

Session Name:Motion: Methods  

Program Number:1356  

Room Session:Concurrent 1  

Institution:GE Healthcare Japan  Keio University School of Medicine  

Deep Learning-Based Rigid-Body Motion Correction in MRI using Multichannel Data

Author:Miriam Hewlett  Ivailo Petrov  Maria Drangova  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:Motion Correction Strategies  

Session Name:Motion: Methods  

Program Number:1357  

Room Session:Concurrent 1  

Institution:Robarts Research Institute  Western University  

Deep Learning-based Semi-supervised Meniscus Segmentation with Uncertainty Estimation

Author:Siyue LI  Shutian ZHAO  Yongcheng YAO  Weitian CHEN  

Session Type:Oral  

Session Date:Thursday, 20 May 2021  

Topic:Artificial Intelligence Applied to MSK MRI  

Session Name:Artificial Intelligence Applied to MSK MRI  

Program Number:0803  

Room Session:Concurrent 4  

Institution:AI in Radiology Laboratory, Department of Imaging and Interventioanl Radiology, The Chinese University of Hong Kong  

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

Author:Suphachart Leewiwatwong  Junlan Lu  David Mummy  Isabelle Dummer  Kevin Yarnall  Ziyi Wang  Bastiaan Driehuys  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:0391  

Room Session:Concurrent 1  

Institution:Duke University  McGill University  

Deep Learning-Driven Automatic Scan Plane Alignment for Needle Tracking in MRI-Guided Interventions

Author:Xinzhou Li  Yu-Hsiu Lee  David Lu  Tsu-Chin Tsao  Holden Wu  

Session Type:Oral  

Session Date:Thursday, 20 May 2021  

Topic:Interventional, Multimodal & Auxiliary Engineering  

Session Name:Interventional, Multimodal & Auxiliary Engineering  

Program Number:0861  

Room Session:Concurrent 3  

Institution:University of California, Los Angeles  

Deep Linear Modeling of Hierarchical Functional Connectivity in the Human Brain

Author:Wei Zhang  Eva Palacios  Pratik Mukherjee  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Functional Connectivity Across Species  

Session Name:Functional Connectivity Methods  

Program Number:3134  

Room Session:Concurrent 3  

Institution:UCSF  

Deep Low-rank plus Sparse Network for Dynamic MR Imaging

Author:Wenqi Huang  Ziwen Ke  Zhuo-Xu Cui  Jing Cheng  Zhilang Qiu  Sen Jia  Yanjie Zhu  Dong Liang  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Data Acquisition & Image Reconstruction  

Session Name:Machine Learning for Data Acquisition & Image Reconstruction  

Program Number:0225  

Room Session:Concurrent 1  

Institution:Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences  Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences  

Deep Manifold Learning for Dynamic MR Imaging

Author:Ziwen Ke  Zhuo-Xu Cui  Jing Cheng  Leslie Ying  Xin Liu  Hairong Zheng  Yanjie Zhu  Dong Liang  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:1945  

Room Session:Concurrent 1  

Institution:Shenzhen Institutes of Advanced Technology  University at Buffalo, The State University of New York  

Deep Multiple Sclerosis Lesion Segmentation with Anatomical Convolution and Lesion-wise Loss

Author:Hang Zhang  Jinwei Zhang  Pascal Spincemaille  Thanh Nguyen  Yi Wang  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Multiple Sclerosis  

Session Name:MS: Myelin & Lesion Characterization  

Program Number:2811  

Room Session:Concurrent 6  

Institution:Cornell University  

Deep phenotyping of individuals with arrhythmogenic cardiomyopathy-associated genetic variants using myocardial T1 and T2 mapping

Author:Eric Carruth  Samuel Fielden  Amro Alsaid  Brandon Fornwalt  Christopher Haggerty  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging I  

Program Number:2639  

Room Session:Concurrent 2  

Institution:Geisinger  

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

Author:Jinwei Zhang  Hang Zhang  Pascal Spincemaille  Mert Sabuncu  Thanh Nguyen  Ilhami Kovanlikaya  Yi Wang  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:2166  

Room Session:Concurrent 1  

Institution:Cornell University  Weill Cornell Medical College  

Deep, Deep Learning with BART

Author:Moritz Blumenthal  Martin Uecker  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Data Acquisition & Image Reconstruction  

Session Name:Machine Learning for Data Acquisition & Image Reconstruction  

Program Number:1754  

Room Session:Concurrent 1  

Institution:University Medical Center Göttingen  DZHK (German Centre for Cardiovascular Research)  University of Göttingen  

Deep, intermediate and superficial layers of patella cartilage assessment using T2 mapping in patients with chondromalacia.

Author:Elena Voronkova  Petr Menshchikov  Ilya Melnikov  Andrei Manzhurtsev  Maxim Ublinskii  Denis Vorobyev  Dmitriy Kupriyanov  Tolib Akhadov  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Bone, Cartilage & Joint MRI  

Session Name:Cartilage I  

Program Number:2965  

Room Session:Concurrent 4  

Institution:Clinical and Research Institute of Emergency Pediatric Surgery and Trauma  Philips Healthcare  Emanuel Institute of Biochemical Physics of RAS  National Research Nuclear University MEPhI  

DeepCEST: 7T Chemical exchange saturation transfer MRI contrast inferred from 3T data via deep learning with uncertainty quantification

Author:Leonie Hunger  Alexander German  Felix Glang  Katrin Khakzar  Nam Dang  Angelika Mennecke  Andreas Maier  Frederik Laun  Moritz Zaiss  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:CEST, MT & T1?  

Session Name:CEST  

Program Number:1451  

Room Session:Concurrent 4  

Institution:Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)  Friedrich-Alexander-University Erlangen-Nürnberg  Max Planck Institute for Biological Cybernetics  

DeepControl: AI-powered slice flip-angle homogenization by 2DRF pulses

Author:Mads Vinding  Christoph Aigner  Jason Stockmann  Bastien Guérin  Sebastian Schmitter  Torben Lund  

Session Type:Oral  

Session Date:Thursday, 20 May 2021  

Topic:New strategies in RF Pulse Design  

Session Name:New Strategies in RF Pulse Design  

Program Number:0785  

Room Session:Concurrent 1  

Institution:Aarhus University  Harvard Medical School  Physikalisch-Technische Bundesanstalt (PTB)  Massachusetts General Hospital  University of Minnesota  

Deep-Learning Based Image Reconstruction for Lumbar Spine MRI at 3T: Clinical Feasibility

Author:Emma Bahroos  Misung Han  Cynthia Chin  David Shin  Javier Villanueva-Meyer  Thomas Link  Valentina Pedoia  Sharmila Majumdar  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Artificial Intelligence Applied to MSK MRI  

Session Name:Artificial Intelligence  

Program Number:4052  

Room Session:Concurrent 4  

Institution:GE Healthcare  University of California San Francisco  

Deep-learning based super-resolution reconstruction for 3D isotropic coronary MR angiography in a one-minute scan

Author:Thomas Küstner  Alina Psenicny  Camila Munoz  Niccolo Fuin  Aurelien Bustin  Haikun Qi  Radhouene Neji  Karl Kunze  Reza Hajhosseiny  Claudia Prieto  René Botnar  

Session Type:Oral  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging  

Program Number:0450  

Room Session:Concurrent 2  

Institution:IXICO  King's College London  Université de Bordeaux, INSERM, Centre de recherche Cardio-Thoracuique de Bordeaux  Siemens Healthcare Limited  University Hospital of Tübingen  

Deep-learning cardiac MRI for quantitative assessment of ventricular volumes

Author:Yifan Qi  Fusheng Wang  J. Jane Cao  Yulee Li  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Real-Time Cardiac MRI  

Session Name:Towards Real-Time Cardiac MRI  

Program Number:2871  

Room Session:Concurrent 2  

Institution:St. Francis Hospital, DeMatteis Center for Cardiac Research and Education  Stony Brook University  

Deep-Learning epicardial fat quantification using 4-chambers Cardiac MRI segmentation, comparison with total epicardial fat volume

Author:Pierre Daudé  Patricia Ancel  Sylviane Confort-Gouny  Anne Dutour  Bénédicte Gaborit  Stanislas Rapacchi  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging I  

Program Number:2648  

Room Session:Concurrent 2  

Institution:Aix-Marseille Univ, CNRS, CRMBM  APHM, Hôpital Universitaire Timone, Service d’Endocrinologie  

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

Author:Nalini Singh  Juan Iglesias  Elfar Adalsteinsson  Adrian Dalca  Polina Golland  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Data Acquisition & Image Reconstruction  

Session Name:Machine Learning for Data Acquisition & Image Reconstruction  

Program Number:1758  

Room Session:Concurrent 1  

Institution:Massachusetts Institute of Technology  Massachusetts General Hospital  University College London  

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.  

Deep-learning-based noise reduction incorporating inhomogeneous spatial distribution of noise in parallel MRI imaging

Author:Atsuro Suzuki  Chizue Ishihara  Yukio Kaneko  Tomoki Amemiya  Yoshitaka Bito  Toru Shirai  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:New Frontiers of AI in Neuroimaging  

Program Number:3264  

Room Session:Concurrent 6  

Institution:Hitachi, Ltd.  

DeepPain: Uncovering Associations Between Data-Driven Learned qMRI Biomarkers and Chronic Pain

Author:Alejandro Morales Martinez  Jinhee Lee  Francesco Caliva  Claudia Iriondo  Sarthak Kamat  Sharmila Majumdar  Valentina Pedoia  

Session Type:Oral  

Session Date:Thursday, 20 May 2021  

Topic:Artificial Intelligence Applied to MSK MRI  

Session Name:Artificial Intelligence Applied to MSK MRI  

Program Number:0806  

Room Session:Concurrent 4  

Institution:UCSF  

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

Author:Hongjun An  Hyeong-Geol Shin  Sooyeon Ji  Woojin Jung  Sehong Oh  Dongmyung Shin  Juhyung Park  Jongho Lee  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:Motion Correction Strategies  

Session Name:Motion: Methods  

Program Number:1352  

Room Session:Concurrent 1  

Institution:Hankuk University of Foreign Studies  Seoul National University  

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

Author:Juhyung Park  Dongmyung Shin  Hyeong-Geol Shin  Jiye Kim  Jongho Lee  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Data Acquisition & Image Reconstruction  

Session Name:Machine Learning for Data Acquisition & Image Reconstruction  

Program Number:1759  

Room Session:Concurrent 1  

Institution:Seoul National University  

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

Author:Hwihun Jeong  Hyeong-Geol Shin  Sooyeon Ji  Jinhee Jang  Hyun-Soo Lee  Yoonho Nam  Jongho Lee  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:0328  

Room Session:Concurrent 1  

Institution:Hankuk University of Foreign Studies  Seoul National University  Siemens healthineers Ltd  The Catholic University of Korea  

Defacing and Refacing Brain MRI Using a Cycle Generative Adversarial Network

Author:Zuojun Wang  Peng Xia  Wenming Cao  Kui Kai, Gary Lau  Henry Ka Fung Mak  Peng Cao  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:New Frontiers of AI in Neuroimaging  

Program Number:3252  

Room Session:Concurrent 6  

Institution:Department of Diagnostic Radiology, HKU  

Deflazacort & prednisone/prednisolone treatment in Duchenne muscular dystrophy: Disease trajectory differences modeled using MR biomarkers

Author:Ishu Arpan  William Rooney  Rebecca Willcocks  Alison Barnard  Sean Forbes  William Triplett  Eric Baetscher  Michael Daniels  Glenn Walter  Krista Vandenborne  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Fat & Metabolism  

Session Name:Fat & Metabolism I  

Program Number:3833  

Room Session:Concurrent 4  

Institution:Oregon Health & Science University  University of Florida  

Delayed mapping of 2H-labeled choline using Deuterium Metabolic Imaging (DMI) reveals active choline metabolism in rat glioblastoma.

Author:Henk De Feyter  Monique Thomas  Kevan Ip  Kevin Behar  Robin de Graaf  

Session Type:Oral  

Session Date:Monday, 17 May 2021  

Topic:Cancer: Contrast Agents & MRS  

Session Name:Cancer: Contrast Agents & MRS  

Program Number:0016  

Room Session:Concurrent 2  

Institution:Yale University