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Displaying 1 - 15 of 15

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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.

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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

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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

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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

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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

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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

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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

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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.

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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

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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

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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

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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

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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

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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

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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

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Displaying 1 - 15 of 15

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1

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Session Name:

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

Accelerate MR imaging by anatomy-driven deep learning image reconstruction

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

Application-specific structural brain MRI harmonization

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

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

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

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

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

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

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

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

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

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

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

Current Filters

TITLE

Session Name:

Filter

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

Accelerate MR imaging by anatomy-driven deep learning image reconstruction

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

Application-specific structural brain MRI harmonization

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

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

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

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

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

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

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

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

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

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

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

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