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Noise2DWI: Accelerating Diffusion Tensor Imaging with Self-Supervision and Fine Tuning

Author:Phillip Martin  Maria Altbach  Ali Bilgin  

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:3517  

Room Session:4  

Institution:University of Arizona  

On the importance of fetal brain numerical models for domain adaptation strategies in fetal brain MRI tissue segmentation

Author:Priscille de Dumast  Hamza Kebiri  Meritxell Bach Cuadra  Hélène Lajous  

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:1876  

Room Session:Exhibition Hall:S8 & S9  

Institution:CIBM Center for Biomedical Imaging  Lausanne University Hospital and University of Lausanne  

A Ontology-guided Attribute Partitioning Ensemble Learning Model for Early Prediction of Cognitive Deficits using sMRI in Very Preterm Infants

Author:Zhiyuan Li  Hailong Li  Nehal Parikh  Lili He  Adebayo Braimah  Jonathan Dillman  

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:3520  

Room Session:4  

Institution:Cincinnati Children's Hospital Medical Center  University of Cincinnati  

Paired CycleGAN-based Cross Vendor Harmonization

Author:Joonhyeok Yoon  Sooyeon Ji  Eun-Jung Choi  Hwihun Jeong  Jongho Lee  

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:1881  

Room Session:Exhibition Hall:S8 & S9  

Institution:Seoul National University  

Patch-based AUTOMAP image reconstruction of low SNR 1.5 T human brain MR k-space

Author:Neha Koonjoo  Bo Zhu  Danyal Bhutto  Suresh Joel  Matthew Rosen  

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:3514  

Room Session:4  

Institution:A.A Martinos Center for Biomedical Imaging / MGH  GE Healthcare  Harvard Medical School  Boston University  Harvard University  

Perivascular Space Quantification with Deep Learning synthesized T2 from T1w and FLAIR images

Author:Jiehua Li  Pan Su  Rao Gullapalli  Jiachen Zhuo  

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:3471  

Room Session:5  

Institution:University of Maryland School of Medicine  Siemens Medical Solutions USA, Inc.  

Predicting artifacts in maximum intensity projections of high b-value DWI of the breast using neural networks.

Author:Andrzej Liebert  Lorenz Kapsner  Lukas Folle  Hannes Schreiter  Badhan Das  Sabine Ohlmeyer  Andreas Maier  Evelyn Wenkel  Frederik Laun  Michael Uder  Sebastian Bickelhaupt  

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:1788  

Room Session:Exhibition Hall:S8 & S9  

Institution:Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)  Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander University Erlangen Nuremberg  

Predicting Breath-Hold Liver Diffusion MRI from Free-Breathing Datausing a Convolutional Neural Network (CNN)

Author:Emmanuelle Weber  Xucheng Zhu  Patrick Koon  Anja Brau  Shreyas Vasanawala  Jennifer McNab  

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:3465  

Room Session:5  

Institution:GE Healthcare  Stanford  

Predicting isocitrate dehydrogenase mutation status using contrastive learning and graph neural networks

Author:Yiran Wei  Chao Li  Stephen Price  

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:1156  

Room Session:Exhibition Hall:S8 & S9  

Institution:University of Cambridge  

Predicting PDFF and R2* from Magnitude-Only Two-Point Dixon MRI Using Generative Adversarial Networks

Author:Nicolas Basty  Marjola Thanaj  Madeleine Cule  Elena Sorokin  E. Thomas  Jimmy Bell  Brandon Whitcher  

Session Type:Digital Poster  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quantitative Imaging I  

Program Number:2521  

Room Session:Exhibition Hall:S8 & S9  

Institution:Calico Life Sciences LLC  University of Westminster  

Predicting Perfusion Augmentation Using Deep Learning without Vasodilators

Author:Moss Zhao  Ramy Hussein  Michael Moseley  Greg Zaharchuk  

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:1789  

Room Session:Exhibition Hall:S8 & S9  

Institution:Stanford University  

Prediction of new diffusion MRI data is feasible using robust machine learning algorithms for multi-shell HARDI in a clinical setting

Author:Cayden Murray  Olayinka Oladosu  Yunyan Zhang  

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:4805  

Room Session:2  

Institution:University of Calgary  

Preserving Privacy While Maintaining Consistent Postprocessing Results: Fast and Effective Anonymous Refacing using a 3D cGAN

Author:Nataliia Molchanova  Bénédicte Maréchal  Jean-Philippe Thiran  Tobias Kober  Jonas Richiardi  Till Huelnhagen  

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:3523  

Room Session:4  

Institution:Advanced Clinical Imaging Technology, Siemens Healthcare AG  Lausanne University Hospital and University of Lausanne  Signal Processing Laboratory (LTS 5), Ecole Polytechnique Fédérale de Lausanne (EPFL)  

Prior-knowledge MRS Metabolite Quantification using Deep Learning Frameworks: A proof-of-concept

Author:Federico Turco  Johannes Slotboom  

Session Type:Digital Poster  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quantitative Imaging I  

Program Number:2523  

Room Session:Exhibition Hall:S8 & S9  

Institution:Institute of Diagnostic and Interventional Neuroradiology  

Protocol harmonization using a generative adversarial network decreases morphometry variability

Author:Veronica Ravano  Jean-François Démonet  Daniel Damian  Reto Meuli  Gian Franco Piredda  Till Huelnhagen  Bénédicte Maréchal  Jean-Philippe Thiran  Tobias Kober  Jonas Richiardi  

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:1050  

Room Session:Exhibition Hall:S8 & S9  

Institution:Ecole Polytechnique Fédérale de Lausanne (EPFL)  Lausanne University Hospital and University of Lausanne  Siemens Healthcare AG  

QC of image registration using a DL network trained using only synthetic images

Author:Yiheng Li  

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:1880  

Room Session:Exhibition Hall:S8 & S9  

Institution:Subtle Medical  

Quantifying Domain Shift for Deep Learning Based Synthetic CT Generation with Uncertainty Predictions

Author:Matt Hemsley  Liam Lawrence  Rachel Chan  Brige Chuge  Angus Lau  

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:4812  

Room Session:2  

Institution:Sunnybrook Health Sciences Centre  Sunnybrook Research Insitute  University of Toronto  Ryerson University  

Quantitative MRI parameter estimation with supervised deep learning: MLE-derived labels outperform groundtruth labels

Author:Sean Epstein  Timothy Bray  Margaret Hall-Craggs  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:2530  

Room Session:Exhibition Hall:S8 & S9  

Institution:University College London  

Quantitative Radiomic Features of Deep Learning Image Reconstruction in MRI

Author:Edward Peake  Andy Priest  Martin Graves  

Session Type:Digital Poster  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quantitative Imaging II  

Program Number:2604  

Room Session:Exhibition Hall:S8 & S9  

Institution:Cambridge University Hospitals NHS Foundation Trust  University of Cambridge  

Radiomics to Predict Pathological Complete Response in Patients with Triple Negative Breast Cancer

Author:Michael Hirano  Anum Kazerouni  Mladen Zecevic  Laura Kennedy  Shaveta Vinayak  Habib Rahbar  Matthew Nyflot  Suzanne Dintzis  Savannah Partridge  

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:3464  

Room Session:5  

Institution:University of Washingon  University of Washington  Vanderbilt University  

Rapid myelin water fraction mapping through the combination of artificial neural network and under sampled mcDESPOT data

Author:Zhaoyuan Gong  Nikkita Khattar  Matthew Kiely  Curtis Triebswetter  Maryam Alsameen  Mustapha Bouhrara  

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:4813  

Room Session:2  

Institution:National Institute on Aging  Yale University  

Rapid reconstruction of Blip up-down circular EPI (BUDA-cEPI) for distortion-free dMRI using an Unrolled Network with U-Net as Priors

Author:Uten Yarach  Itthi Chatnuntawech  Congyu Liao  Surat Teerapittayanon  Siddharth Srinivasan Iyer  Tae Hyung Kim  Jaejin Cho  Berkin Bilgic  Yuxin Hu  Brian Hargreaves  Kawin Setsompop  

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:4348  

Room Session:2  

Institution:Athinoula A. Martinos Center for Biomedical Imaging  Faculty of Associated Medical Science, Chiang Mai University  National Nanotechnology Center (NANOTEC), National Science and Technology Development Agency (NSTDA)  Stanford University  Stanford Universi  

Real-time High-quality Multi-parametric 4D-MRI Using Deep Learning-based Motion Estimation from Ultra-undersampled Radial K-space

Author:Haonan Xiao  Yat Lam Wong  Wen Li  Chenyang Liu  Shaohua Zhi  Weiwei Liu  Weihu Wang  Yibao Zhang  Hao Wu  Ho-Fun Victor Lee  Lai-Yin Andy Cheung  Hing-Chiu Charles Chang  Tian Li  Jing 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 III  

Program Number:4354  

Room Session:2  

Institution:Department of Clinical Oncology, Queen Mary Hospital  Department of Clinical Oncology, The University of Hong Kong  Department of Radiology, The University of Hong Kong  Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Be  

Registration and quantification net (RQnet) for IVIM-DKI analysis

Author:Wonil Lee  Giyong Choi  Jongyeon Lee  Hyunwook Park  

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:0556  

Room Session:N11 (Breakout B)  

Institution:KAIST  

Residual Non-local Attention Graph Learning (PNAGL) Neural Networks for Accelerating 4D-MRI

Author:Bei Liu  Huajun She  Yufei Zhang  Zhijun Wang  Yiping Du  

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:4332  

Room Session:3  

Institution:Shanghai Jiao Tong University  

A residual-spatial feature based MR motion artifact detection model with better generalization

Author:Xiaolan Liu  Yaan Ge  Qingyu Dai  Kun 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 IV  

Program Number:4335  

Room Session:3  

Institution:GE Healthcare  

ResoNet: Physics Informed Deep Learning based Off-Resonance Correction Trained on Synthetic Data

Author:Alfredo De Goyeneche  Shreya Ramachandran  Ke Wang  Ekin Karasan  Stella Yu  Michael Lustig  

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:0555  

Room Session:N11 (Breakout B)  

Institution:University of California, Berkeley  

Resting-state functional connectivity predicts subsequent pain-related threat learning

Author:Balint Kincses  Katarina Forkmann  Katharina Schmidt  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 I  

Program Number:1794  

Room Session:Exhibition Hall:S8 & S9  

Institution:University Hospital Essen  

Revised-NODDI with conventional dMRI data enabled by deep learning

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:2528  

Room Session:Exhibition Hall:S8 & S9  

Institution:AINOSTICS  University College London  

Sampling Pattern Optimization for Joint Acceleration of Multi-contrast MRI using Deep Learning

Author:Sunghun Seo  Huan Minh Luu  Seung Hong Choi  Sung-Hong Park  

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:1166  

Room Session:Exhibition Hall:S8 & S9  

Institution:Korea Advanced Institute of Science and Technology  Seoul National University Hospital, Seoul National University College of Medicine  

Self-supervised and physics informed deep learning model for prediction of multiple tissue parameters from MR Fingerprinting data

Author:Richard Adams  Yong Chen  Pew-Thian Yap  Dan Ma  

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:3472  

Room Session:5  

Institution:Case Western Reserve University  University of North Carolina  

Self-Supervised Deep Learning for Highly Accelerated 3D Ultrashort Echo Time Pulmonary MRI

Author:Zachary Miller  Kevin Johnson  

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:3516  

Room Session:4  

Institution:University of Wisconsin-Madison  

Self-supervised learning for multi-center MRI harmonization without traveling phantoms: application for cervical cancer classification

Author:Xiao Chang  Xin Cai  Yibo Dan  Yang Song  Qing Lu  Guang Yang  Shengdong Nie  

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:4342  

Room Session:3  

Institution:East China Normal University  Shanghai Jiao Tong University  University of Shanghai for Science and Technology  

Signal prediction in echo dimension of multi-echo gradient echo using multi-layer seq2seq model

Author:Jisu Yun  Seul Lee  Muyul Park  Dong-Hyun Kim  

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:1059  

Room Session:Exhibition Hall:S8 & S9  

Institution:Department of Electrical and Electronic Engineering, Yonsei University  

Single-Shot Adaptation using Score-Based Models for MRI Reconstruction

Author:Marius Arvinte  Ajil Jalal  Giannis Daras  Eric Price  Alex Dimakis  Jonathan Tamir  

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:1061  

Room Session:Exhibition Hall:S8 & S9  

Institution:The University of Texas at Austin  

SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation

Author:Arjun Desai  Andrew Schmidt  Elka Rubin  Christopher Sandino  Marianne Black  Valentina Mazzoli  Kathryn Stevens  Robert Boutin  Christopher Ré  Garry Gold  Brian Hargreaves  Akshay Chaudhari  

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:0048  

Room Session:N11 (Breakout A)  

Institution:Stanford University  

SMILR - Subspace MachIne Learning Reconstruction

Author:Siddharth Iyer  Christopher Sandino  Mahmut Yurt  Xiaozhi Cao  Congyu Liao  Sophie Schauman  Kawin Setsompop  

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:3466  

Room Session:5  

Institution:Massachusetts Institute of Technology  Stanford University  

Solving T2-blurring: Joint Optimization of Flip Angle Design and DenseNet Parameters for Reduced T2 Blurring in TSE Sequences

Author:Hoai Nam Dang  Jonathan Endres  Felix Glang  Simon Weinmüller  Alexander Loktyushin  Klaus Scheffler  Arnd Doerfler  Andreas Maier  Moritz Zaiss  

Session Type:Digital Poster  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quantitative Imaging II  

Program Number:2602  

Room Session:Exhibition Hall:S8 & S9  

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

Spherical-CNN based diffusion MRI parameter estimation is robust to gradient schemes and equivariant to rotation

Author:Tobias Goodwin-Allcock  Robert Gray  Parashkev Nachev  Jason McEwan  Hui Zhang  

Session Type:Digital Poster  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quantitative Imaging II  

Program Number:2605  

Room Session:Exhibition Hall:S8 & S9  

Institution:Kagenova Limited  UCL  

SSFD: Self-Supervised Feature Distance Outperforms Conventional MR Image Reconstruction Quality Metrics

Author:Philip Adamson  Jeffrey Dominic  Arjun Desai  Christian Bluethgen  Jeff Wood  Ali Syed  Robert Boutin  Kathryn Stevens  Daniel Spielman  Shreyas Vasanawala  John Pauly  Akshay Chaudhari  Beliz Gunel  

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:1870  

Room Session:Exhibition Hall:S8 & S9  

Institution:Austin Radiological Association  Stanford University  

Super Resolution of MR Images with Deep Learning Based k-space Interpolation

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:1161  

Room Session:Exhibition Hall:S8 & S9  

Institution:Comsats University  

SUPER-IVIM-DC, A supervised deep-learning with data consistency approach for IVIM model parameter estimation from Diffusion-Weighted MRI data

Author:Elad Rotman  Onur Afacan  Sila Kurugol  Simon Warfield  Moti Freiman  

Session Type:Digital Poster  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quantitative Imaging I  

Program Number:2531  

Room Session:Exhibition Hall:S8 & S9  

Institution:Harvard Medical School  Technion-IIT  

Super-resolution MRI using Novel Slice-profile Based Transformation for Multi-slice 2D TSE Imaging

Author:Jiahao Lin  Miao Qi  Chuthaporn Surawech  Steven Raman  Holden Wu  Kyunghyun Sung  

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:3468  

Room Session:5  

Institution:University of California, Los Angeles  Chulalongkorn University  The First Affiliated Hospital of China Medical University  King Chulalongkorn Memorial Hospital  

SVoRT: Slice-to-volume Registration for Fetal Brain MRI Reconstruction with Transformers

Author:Junshen Xu  Daniel Moyer  P. Ellen Grant  Polina Golland  Juan Eugenio Iglesias  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:4807  

Room Session:2  

Institution:Boston Children’s Hospital  Massachusetts Institute of Technology  Harvard Medical School  University College London  Massachusetts General Hospital  

T2-deblurred deep learning super-resolution for turbo spin echo MRI

Author:Zihao Chen  Yibin Xie  Debiao Li  Yijen Wu  Anthony Christodoulou  

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:0302  

Room Session:Power Pitch Theatre 2  

Institution:Cedars-Sinai Medical Center  University of Pittsburgh  University of California, Los Angeles  

Through-plane diffusion MRI super-resolution with autoencoders: validation on outlier replacement scheme for pre-term baby brains

Author:Hamza Kebiri  Erick Canales-Rodríguez  Priscille de Dumast  Athena Taymourtash  Hélène Lajous  Yasser Alemán-Gómez  Georg Langs  Meritxell Bach Cuadra  

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:0300  

Room Session:Power Pitch Theatre 2  

Institution:CIBM Center for Biomedical Imaging  Computational Imaging Research Lab, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna  Department of Radiology, Lausanne University Hospital and University of Lausanne  Signal Proce  

Toward a 1-minute high-resolution brain exam - MR Fingerprinting with fast reconstruction andML-synthesized contrasts

Author:Sophie Schauman  Siddharth Iyer  Mahmut Yurt  Xiaozhi Cao  Congyu Liao  Zheng Zhong  Guanhua Wang  Greg Zaharchuk  Shreyas Vasanawala  Kawin Setsompop  

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:0053  

Room Session:N11 (Breakout A)  

Institution:Massachusetts Institute of Technology  Stanford University  University of Michigan  

Transformer based Self-supervised learning for content-based image retrieval

Author:Deepa Anand  Chitresh Bhushan  Dattesh Shanbhag  

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:4339  

Room Session:3  

Institution:GE Global Research  GE Healthcare  

Tumor Aware Temporal Deep Learning (TAP-DL) for Prediction of Early Recurrence in Hepatocellular Carcinoma Patients after Ablation using MRI

Author:Yuze Li  Chao An  Huijun 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:4330  

Room Session:3  

Institution:First Affiliated Hospital of Chinese PLA General Hospital  Tsinghua University  

Ultra-thin slice Time-of-Flight MR angiography for brain with a deep learning constrained Compressed SENSE reconstruction

Author:Jihun Kwon  Takashige Yoshida  Masami Yoneyama  Johannes Peeters  Marc Cauteren  

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:4358  

Room Session:2  

Institution:Philips Healthcare  Philips Japan  Tokyo Metropolitan Police Hospital