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Displaying 1 - 11 of 11

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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Displaying 1 - 11 of 11

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

Brain MRI acceleration with deep modular networks (BRACELET)

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

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

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

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

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

Intrinsic reproducibility issues in deep learning-based MR reconstruction

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

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

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

Current Filters

TITLE

Session Name:

Filter

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

Brain MRI acceleration with deep modular networks (BRACELET)

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

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

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

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

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

Intrinsic reproducibility issues in deep learning-based MR reconstruction

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

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

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

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