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1H-MRS and machine learning for predicting voxel-wise histopathology of tumor cells in newly-diagnosed glioma patients

Author:Nate Tran  Jacob Ellison  Oluwaseun Adegbite  James Golden  Yan Li  Joanna Phillips  Devika Nair  Anny Shai  Annette Molinaro  Valentina Pedoia  Javier Villanueva-Meyer  Mitchel Berger  Shawn Hervey-Jumper  Aghi Manish  Susan Chang  J Lupo  

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:3463  

Room Session:5  

Institution:University of California, San Francisco  

A 3D-FiLM-cGAN Architecture for the Synthesis of Cerebral Blood Flow Maps

Author:Michael Stritt  Matthias Günther  Johannes Gregori  Daniel Mensing  Henk-Jan Mutsaerts  Klaus Eickel  

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:4815  

Room Session:2  

Institution:Amsterdam University Medical Center  mediri GmbH  Universität Bremen  Darmstadt University of Applied Sciences  Fraunhofer MEVIS  

7T MRI prediction from 3T MRI via a high frequency generative adversarial network

Author:Yuxiang Dai  Wei Tang  Ying-Hua Chu  Chengyan Wang  He Wang  

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:4350  

Room Session:2  

Institution:Human Phenome Institute, Fudan University  Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University  Siemens Healthineers Ltd.  

A data-driven method for automatic regularization selection in a hybrid DL-SENSE reconstruction

Author:Zahra Hosseini  Thorsten Feiweier  John Conklin  Stephan Kannengießer  Marcel Nickel  Min Lang  Azadeh Tabari  Augusto Filho  Wei-Ching Lo  Maria Longo  Michael Lev  Pamela Schaefer  Otto Rapalino  Susie Huang  Stephen Cauley  B Clifford  

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:1052  

Room Session:Exhibition Hall:S8 & S9  

Institution:Massachusetts General Hospital  Massachusetts General Hospital, Harvard Medical School  Siemens Healthcare GmbH  Siemens Medical Solutions USA  

A Deep Learning Neural Network for Quantifying Metabolite Concentrations by Multi-echo MRS

Author:Yan Zhang  Jun Shen  

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:4809  

Room Session:2  

Institution:National Institute of Mental Health  

A multi-output deep learning algorithm to improve brain lesion segmentation by enhancing the resistance of variabilities in tissue contrast

Author:Yi-Tien Li  Hsiao-Wen Chung  David Chen  

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:4333  

Room Session:3  

Institution:National Taiwan University  Taipei Medical University  Taipei Medical University - Shuang Ho Hospital  Taipei Medical University Hospital  

Accelerate MR imaging by anatomy-driven deep learning image reconstruction

Author:Vick Lau  Christopher Man  Yilong Liu  Alex T. L. Leong  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:4356  

Room Session:2  

Institution:The University of Hong Kong  

Accelerated 2D Cardiac MRF Using a Self-Supervised Deep Image Prior Reconstruction

Author:Jesse Hamilton  

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:0551  

Room Session:N11 (Breakout B)  

Institution:University of Michigan  

Accelerated MR screenings with direct k-space classification

Author:Raghav Singhal  Mukund Sudarshan  Luke Ginocchio  Angela Tong  Hersh Chandarana  Daniel Sodickson  Rajesh Ranganath  Sumit Chopra  

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:4804  

Room Session:2  

Institution:New York University Grossman School of Medicine  New York University  

Accelerated respiratory-resolved 4D-MRI with separable spatio-temporal neural networks

Author:Maarten Terpstra  Matteo Maspero  Joost Verhoeff  Cornelis van den Berg  

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:0305  

Room Session:Power Pitch Theatre 2  

Institution:University Medical Center Utrecht  

Accelerating MR Elastography using Deep Learning-Reconstruction of Undersampled Data

Author:Robin Bugge  Jon Andre Ottesen  Elies Fuster  Atle Bjørnerud  Kyrre Emblem  

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:1056  

Room Session:Exhibition Hall:S8 & S9  

Institution:Oslo University Hospital  Universitat Polite`cnica de Vale`ncia  

Advancing RAKI Parallel Imaging Reconstruction with Virtual Conjugate Coil and Enhanced Non-Linearity

Author:Christopher Man  Zheyuan Yi  Vick Lau  Jiahao Hu  Yujiao Zhao  Linfang Xiao  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:4355  

Room Session:2  

Institution:The University of Hong Kong  

Amide Proton Transfer (APT) Mapping from Undersampled Z-spectra in the Brain Using Deep Learning

Author:Karandeep Cheema  Pei Han  Hui Han  Yibin Xie  Anthony Christodoulou  Debiao Li  

Session Type:Digital Poster  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quantitative Imaging I  

Program Number:2524  

Room Session:Exhibition Hall:S8 & S9  

Institution:Cedars Sinai Medical Center  University of California, Los Angeles (UCLA)  

Analysing The Role Of Model Uncertainty in Flourine-19 MRI using Markov Chain Monte Carlo methods

Author:Masoumeh Javanbakhat  Ludger Starke  Sonia Waiczies  Christoph Lippert  

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:1793  

Room Session:Exhibition Hall:S8 & S9  

Institution:Hasso Plattner Institute  Max Delbrück Centre for Moleculare Medicine in the Helmholtz Association  

Application-specific structural brain MRI harmonization

Author:Lijun An  Pansheng Chen  Jianzhong Chen  Christopher Chen  Juan Helen Zhou  B.T. Thomas Yeo  

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:4352  

Room Session:2  

Institution:National University of Singapore  Massachusetts General Hospital  

Applying advanced denoisers to enhance highly undersampled MRI reconstruction under plug-and-play ADMM framework

Author:Kang Yan  Zhixing Wang  Quan Dou  Sheng Chen  Craig Meyer  

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:1163  

Room Session:Exhibition Hall:S8 & S9  

Institution:University of Virginia  

Assessment of resolution and noise in MR images reconstructed by data driven approaches

Author:Katja Lauer  Jonas Kleineisel  Alfio Borzì  Thorsten Bley  Herbert Köstler  Tobias Wech  

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:0303  

Room Session:Power Pitch Theatre 2  

Institution:University Hospital Würzburg  University of Würzburg  

Automated Adipose Tissue Segmentation using 3D Attention-Based Competitive Dense Networks and Volumetric Multi-Contrast MRI

Author:Sevgi Kafali  Shu-Fu Shih  Xinzhou Li  Shilpy Chowdhury  Spencer Loong  Samuel Barnes  Zhaoping Li  Holden Wu  

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:0553  

Room Session:N11 (Breakout B)  

Institution:Loma Linda University Medical Center  Loma Linda University School of Mental Health  University of California, Los Angeles  

Automated classification of intramedullary spinal cord tumors and inflammatory demyelinating lesions using deep learning

Author:Zhizheng Zhuo  Jie Zhang  Yunyun Duan  Xianchang Zhang  Yaou Liu  

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:4340  

Room Session:3  

Institution:Beijing Tiantan Hospital, Capital Medical University  Siemens Healthineers Ltd  

Automated IDH genotype prediction pipeline using multimodal domain adaptive segmentation (MDAS) model

Author:Hailong Zeng  Lina Xu  Zhen Xing  Wanrong Huang  Yan Su  Zhong Chen  Dairong Cao  Zhigang Wu  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:4329  

Room Session:3  

Institution:Philips Healthcare  The First Affiliated Hospital of Fujian Medical University  Xiamen University  

An Automated Pose and Motion Estimation Pipeline in Dynamic 3D Fetal MRI

Author:Junshen Xu  Molin Zhang  Lana Vasung  Esra Abaci Turk  Borjan Gagoski  Polina Golland  P. Ellen Grant  Elfar Adalsteinsson  

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:4806  

Room Session:2  

Institution:Boston Children’s Hospital  Massachusetts Institute of Technology  Harvard Medical School  

Automated Quantification of Ventilation Defects and Heterogeneity in 3D Isotropic 129Xe MRI

Author:Tuneesh Ranota  Fumin Guo  Tingting Wu  Matthew Fox  Alexei Ouriadov  

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:3513  

Room Session:4  

Institution:Lawson Health Research Institute  The University of Western Ontario  University of Toronto  

Automated Sequence Design using Neural Architecture Search

Author:Hongjun An  Sooyeon Ji  Sehong Oh  Jiye Kim  Dongmyung Shin  Jongho Lee  

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:0052  

Room Session:N11 (Breakout A)  

Institution:Hankuk University of Foreign Studies  Seoul National University  

AUTOMATIC EVALUATION OF HIP ABDUCTOR MUSCLE QUALITY IN HIP OSTEOARTHRITIS

Author:Alyssa Bird  Francesco Caliva  Sharmila Majumdar  Valentina Pedoia  Richard Souza  

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:3521  

Room Session:4  

Institution:University of California, San Francisco  

Benchmarking Accelerated MRI: A Head-to-Head Comparison of Deep Learning Reconstruction and Super-Resolution Techniques

Author:Eric Gibbons  Zhongnan Fang  Arjun Desai  Christopher Sandino  Garry Gold  Brian Hargreaves  Akshay Chaudhari  

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:1873  

Room Session:Exhibition Hall:S8 & S9  

Institution:Lvis Corporation  Stanford University  Weber State University  

Better Inter-observer agreement for Stroke Segmentation on DWI in Deep Learning Models than Human Experts

Author:Shao Chieh Lin  Chun-Jung Juan  Ya-Hui Li  Ming-Ting Tsai  Chang-Hsien Liu  Hsu-Hsia Peng  Teng-Yi Huang  Yi-Jui Liu  Chia-Ching Chang  

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:4353  

Room Session:2  

Institution:China Medical University Hsinchu Hospital  Feng Chia University  National Taiwan University of Science and Technology  National Tsing Hua University  China Medical University  National Yang Ming Chiao Tung University  National Taiwan University  

Brain MR image super resolution using simulated data to perform in real-world MRI

Author:Aymen Ayaz  Kirsten Lukassen  Cristian Lorenz  Juergen Weese  Marcel Breeuwer  

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:1057  

Room Session:Exhibition Hall:S8 & S9  

Institution:Eindhoven University of Technology  Philips Research Laboratories  Philips Healthcare  

Brain MRI acceleration with deep modular networks (BRACELET)

Author:Anthony Mekhanik  Robert Young  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:1162  

Room Session:Exhibition Hall:S8 & S9  

Institution:Memorial Sloan Kettering Cancer Center  

Coil to Coil: Self-supervised denoising using phased-array coil images

Author:Juhyung Park  Dongwon Park  Hyeong-Geol Shin  Eun-Jung Choi  Dongmyung Shin  Se Yong Chun  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:1157  

Room Session:Exhibition Hall:S8 & S9  

Institution:Seoul National University  Ulsan National Institute of Science and Technology  

Comparison of machine learning methods for detection of prostate cancer using bpMRI radiomics features

Author:Ethan Ulrich  Jasser Dhaouadi  Robben Schat  Benjamin Spilseth  Randall Jones  

Session Type:Digital Poster  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quantitative Imaging II  

Program Number:2606  

Room Session:Exhibition Hall:S8 & S9  

Institution:Bot Image  University of Minnesota  

Comparison of Self-Supervised Image Reconstruction Methods for Undersampled Image Reconstruction: Validation in a Realistic Setting

Author:Thomas Yu  Tom Hilbert  Gian Franco Piredda  Erick Canales-Rodriguez  Tobias Kober  Jean-Philippe Thiran  

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:0304  

Room Session:Power Pitch Theatre 2  

Institution:Signal Processing Lab 5 (LTS5), Ecole Polytechnique Fédérale de Lausanne  Advanced Clinical Imaging Technology, Siemens Healthcare  Department of Radiology, Lausanne University Hospital and University of Lausanne  Medical Image Analysis Laboratory, Center  

Complex graph convolutional neural networks compared to GRAPPA for reconstruction of undersampled non-Cartesian MRSI

Author:Paul Weiser  Stanislav Motyka  Wolfgang Bogner  Georg Langs  

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:1058  

Room Session:Exhibition Hall:S8 & S9  

Institution:Computational Imaging Research Lab - Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna  High Field MR Center - Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna  

Concept of a symmetry-guided single-layer neural network for image reconstruction of undersampled radial-MRI k-space data.

Author:Sjoerd Ypma  Ivo Maatman  Matthan Caan  Dimitris Karkalousos  Marnix Maas  Tom Scheenen  

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:1055  

Room Session:Exhibition Hall:S8 & S9  

Institution:Amsterdam UMC, Biomedical Engineering and Physics, University of Amsterdam  Radboud UMC, Radiology and Nuclear Medicine, University of Nijmegen  

Contrastive Learning of Inter-domain Similarity for Unsupervised Multi-modality Deformable Registration

Author:Neel Dey  Jo Schlemper  Seyed Salehi  Bo Zhou  Michal Sofka  

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:3467  

Room Session:5  

Institution:Hyperfine  New York University  Yale University  

Convolutional Neuronal Network Inception-v3 detects Partial Volume Artifacts on 2D MR-Images of the Lung for Automated Quality Control

Author:Andreas Voskrebenzev  Cristian Crisosto  Maximilian Zubke  Frank Wacker  Jens Vogel-Claussen  

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:1790  

Room Session:Exhibition Hall:S8 & S9  

Institution:Institute of Diagnostic and Interventional Radiology, Hannover Medical School  Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH)  

Correlated and specific features fusion based on attention mechanism for grading hepatocellular carcinoma with Contrast-enhanced MR

Author:Shangxuan Li  Guangyi Wang  Lijuan Zhang  Wu Zhou  

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:4331  

Room Session:3  

Institution:Guangdong General Hospital  Guangzhou University of Chinese Medicine  Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences  

Cortical thickness predicts pain sensitivity in a multi-centre cohort: a machine learning approach

Author:Raviteja Kotikalapudi  Balint Kincses  Kevin Hoffschlag  Matthias Zunhammer  Tobias Schmidt-Wilcke  Zsigmond Kincses  Ulrike Bingel  Tamas Spisak  

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:1872  

Room Session:Exhibition Hall:S8 & S9  

Institution:Heinrich Heine University  University Hospital Essen  University of Szeged  District Hospital Mainkofen, Mainkofen  

Cycle-Consistent Adversarial Transformers for Unpaired MR Image Translation

Author:Onat Dalmaz  Mahmut Yurt  Salman Dar  Tolga Çukur  

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:0552  

Room Session:N11 (Breakout B)  

Institution:Bilkent University  Stanford University  National Magnetic Resonance Research Center (UMRAM), Bilkent University  Neuroscience Program, Aysel Sabuncu Brain Research Center, Bilkent University  

Data scarcity mitigation approaches in deep learning reconstruction of undersampled low field MR images

Author:Tobias Senft  Reina Ayde  Najat Salameh  Mathieu Sarracanie  

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:1054  

Room Session:Exhibition Hall:S8 & S9  

Institution:University of Basel  

DCE-DRONE: Perfusion MRI Parameter Estimation using a DRONE Neural Network

Author:Soudabeh Kargar  Ouri Cohen  Ricardo Otazo  

Session Type:Digital Poster  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quantitative Imaging I  

Program Number:2529  

Room Session:Exhibition Hall:S8 & S9  

Institution:MSKCC  

Deep generative model for learning tractography streamline embeddings based on a Convolutional Variational Autoencoder

Author:Yixue Feng  Bramsh Chandio  Tamoghna Chattopadhyay  Sophia Thomopoulos  Conor Owens-Walton  Neda Jahanshad  Eleftherios Garyfallidis  Paul Thompson  

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:3458  

Room Session:5  

Institution:Indiana University Bloomington  University of Southern California  

A Deep Learning Approach to Improve 7T MRI Anatomical Image Quality Deterioration Due mainly to B1+ Inhomogeneity

Author:Thai Akasaka  Koji Fujimoto  Yasutaka Fushimi  Dinh Ha Duy Thuy  Atsushi Shima  Nobukatsu Sawamoto  Yuji Nakamoto  Tadashi Isa  Tomohisa Okada  

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:4349  

Room Session:2  

Institution:Kyoto University  

Deep learning framework for accelerating revised-NODDI parameter estimation with tensor-valued diffusion encoding

Author:Michele Guerreri  Hojjat Azadbakht  Hui Zhang  

Session Type:Digital Poster  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quantitative Imaging I  

Program Number:2527  

Room Session:Exhibition Hall:S8 & S9  

Institution:AINOSTICS  University College London  

Deep learning reconstruction enables accelerated acquisitions with consistent volumetric measurements

Author:R. Marc Lebel  Suryanarayanan Kaushik  Trevor Kolupar  Nate White  Weidong Luo  Suchandrima Banerjee  

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:1060  

Room Session:Exhibition Hall:S8 & S9  

Institution:Cortechs  GE Healthcare  

Deep learning-accelerated T2-weighted imaging of the female pelvis: reduced acquisition times and improved image quality

Author:Jing Ren  Yonglan He  Chong Liu  Shifei Liu  Jinxia Zhu  Marcel Dominik Nickel  Zhengyu Jin  Huadan Xue  

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:4351  

Room Session:2  

Institution:MR Application Predevelopment, Siemens Healthcare GmbH  MR collaboration, Siemens Healthineers Ltd.  Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences  

Deep learning-based brain MRI reconstruction with realistic noise

Author:Quan Dou  Xue Feng  Craig Meyer  

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:3470  

Room Session:5  

Institution:University of Virginia  

Deep Learning-Based Receiver Coil Sensitivity Map Estimation for SENSE Reconstruction using Transfer Learning

Author:Madiha Arshad  Mahmood Qureshi  Omair Inam  Hammad Omer  

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:1158  

Room Session:Exhibition Hall:S8 & S9  

Institution:Comsats University  

A deep learning-based
quality control system for co-registration of prostate MR images

Author:Mohammed R. S. Sunoqrot  Kirsten M. Selnæs  Bendik S. Abrahamsen  Alexandros Patsanis  Gabriel A. Nketiah  Tone F. Bathen  Mattijs Elschot  

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:1877  

Room Session:Exhibition Hall:S8 & S9  

Institution:Norwegian University of Science and Technology (NTNU)  St. Olavs Hospital, Trondheim University Hospital  

The deep SECRET to accelerated first-pass perfusion cardiac MRI

Author:Elena Martín-González  Ebraham Alskaf  Amedeo Chiribiri  Pablo Casaseca-de-la-Higuera  Carlos Alberola-López  Rita G. Nunes  Teresa Correia  

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:0299  

Room Session:Power Pitch Theatre 2  

Institution:Institute for Systems and Robotics  King’s College London  Universidad de Valladolid  Centre for Marine Sciences - CCMAR  Universidade de Lisboa  

Deep CNNs with Physical Constraints for simultaneous Multi-tissue Segmentation and Multi-parameter Quantification (MSMQ-Net) of Knee

Author:Xing Lu  Yajun Ma  Kody Xu  Saeed Jerban  Hyungseok Jang  Chun-Nan Hsu  Amilcare Gentili  Eric Chang  Jiang Du  

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:3462  

Room Session:5  

Institution:University of California, San Diego  Veterans Affairs San Diego Healthcare System