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Displaying 1 - 12 of 12

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**3D-CAIPI-BUDA and Joint Hankel Low-Rank Reconstruction Enable Rapid and Distortion-free High-Resolution T2* Mapping and QSM**

Author:Zhifeng Chen Congyu Liao Xiaozhi Cao Benedikt Poser Zhongbiao Xu Wei-Ching Lo Manyi Wen Jaejin Cho Qiyuan Tian Yaohui Wang Yanqiu Feng Wufan Chen Ling Xia Feng Liu Berkin Bilgic

Session Type:Online Gather.town Pitches

Session Date:Monday, 09 May 2022

Topic:Module 14: Image Reconstruction

Session Name:Novel Image Reconstruction Techniques II

Program Number:3446

Room Session:3

Institution:Chinese Academy of Sciences Guangdong Provincial People's Hospital & Guangdong Academy of Medical Science Massachusetts General Hospital Siemens Medical Solutions Southern Medical University Stanford University The Chinese University of Hong Kong T

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Diffusion MRI data analysis using brain segmentation from anatomical images synthesized from diffusion data by deep learning(DeepAnat)

Author:Ziyu Li Qiuyun Fan Berkin Bilgic Guangzhi Wang Jonathan Polimeni Susie Huang Qiyuan Tian

Session Type:Oral

Session Date:Wednesday, 11 May 2022

Topic:Module 21: Machine Learning and Artificial Intelligence

Session Name:Deep/Machine Learning-Based Quantitative Imaging & Modeling

Program Number:0437

Room Session:N11 (Breakout A)

Institution:Massachusetts General Hospital Tsinghua University University of Oxford Harvard Medical School

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Diffusion Time Dependence of SANDI Analysis using High Gradient Diffusion MRI Data

Author:Tanxin Dong Jie Song Hong-Hsi Lee Qiyuan Tian Susie Y. Huang Qiuyun Fan

Session Type:Online Gather.town Pitches

Session Date:Thursday, 12 May 2022

Topic:Module 16: Diffusion

Session Name:Diffusion & Susceptibility II

Program Number:4722

Room Session:4

Institution:Harvard Medical School Massachusetts General Hospital Tianjin Huanhu Hospital Tianjin University Massachusetts Institute of Technology

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Distortion- and ghosting-free high b-value ex vivo human brain diffusion MRI achieved with spatiotemporal magnetic field monitoring

Author:Gabriel Ramos-Llorden Daniel Park Christian Mirkes Cameron M. Cushing Paul Weavers Hong-Hsi Lee Qiyuan Tian Alina Scholz Boris Keil Berkin Bilgic Anastasia Yendiki Thomas Witzel Susie Y. Huang

Session Type:Oral

Session Date:Tuesday, 10 May 2022

Topic:Module 15: Data Acquisition & Artifacts

Session Name:Field & Eddy Current Mapping & Compensation

Program Number:0232

Room Session:S11 (Breakout B)

Institution:Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School Institute of Medical Physics and Radiation Protection Q Bio Inc, Skope Magnetic Resonance Inc Skope Magnetic Resonance Technologies AG Harvard

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Evaluation of Scout Accelerated Motion Estimation and Reduction (SAMER) for measurement of brain volume and cortical thickness

Author:Wei-Ching Lo John Conklin Bryan Clifford Qiyuan Tian Daniel Polak Daniel Splitthoff ?Maria Gabriela Longo? Azadeh Tabari Stephen Cauley Susie Huang

Session Type:Digital Poster

Session Date:Wednesday, 11 May 2022

Topic:Module 28: Pediatrics, Normal Development & Aging

Session Name:Normal Development & Aging: Poster Session I

Program Number:1949

Room Session:Exhibition Hall:S8 & S9

Institution:A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital Siemens Healthcare GmbH Siemens Medical Solutions Harvard Medical School Massachusetts Institute of Technology

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Improving the accessibility of deep learning-based denoising for MRI using transfer learning and self-supervised learning

Author:Qiyuan Tian Ziyu Li Wei-Ching Lo Berkin Bilgic Jonathan Polimeni Susie Huang

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:4811

Room Session:2

Institution:Massachusetts General Hospital, Harvard Medical School Siemens Medical Solutions University of Oxford

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In vivo demonstration of generalized anisotropy profiles for resolving boundaries between subcortical gray and white matter

Author:Robert Jones Chiara Maffei Qiyuan Tian Susie Huang Vaanathi Sundaresan Anastasia Yendiki

Session Type:Oral

Session Date:Monday, 09 May 2022

Topic:Module 22: Processing & Analysis

Session Name:Data Analysis in the Brain

Program Number:0162

Room Session:N11 (Breakout A)

Institution:Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital & Harvard Medical School

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In vivo demonstration of generalized anisotropy profiles for resolving boundaries between subcortical gray and white matter

Author:Robert Jones Chiara Maffei Qiyuan Tian Susie Huang Vaanathi Sundaresan Anastasia Yendiki

Session Type:Oral

Session Date:Thursday, 12 May 2022

Topic:

Session Name:Outstanding Abstracts from the Annual Meeting

Program Number:0162

Room Session:ICC Capital Hall 2

Institution:Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital & Harvard Medical School

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Noise2Average: deep learning based denoising without high-SNR training data using iterative residual learning

Author:Zihan Li Berkin Bilgic Ziyu Li Kui Ying Jonathan Polimeni Susie Huang Qiyuan Tian

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:4338

Room Session:3

Institution:Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital Department of Biomedical Engineering, Tsinghua University Department of Engineering Physics, Tsinghua University Nuffield Department of Clinica

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Quantifying the uncertainty of neural networks using Monte Carlo dropout
for safer and more accurate deep learning based quantitative MRI

Author:Mehmet Avci Ziyu Li Qiuyun Fan Susie Huang Berkin Bilgic Qiyuan Tian

Session Type:Online Gather.town Pitches

Session Date:Thursday, 12 May 2022

Topic:Module 29: Processing & Analysis

Session Name:Processing & Analysis III

Program Number:4978

Room Session:2

Institution:Athinoula A. Martinos Center for Biomedical Imaging Bogazici University University of Oxford Harvard Medical School Tianjin University

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Rapid Quantitative Imaging Using Wave-Encoded Model-Based Deep Learning for Joint Reconstruction

Author:Jaejin Cho Borjan Gagoski Tae Hyung Kim Qiyuan Tian Robert Frost Itthi Chatnuntawech Berkin Bilgic

Session Type:Oral

Session Date:Wednesday, 11 May 2022

Topic:Module 21: Machine Learning and Artificial Intelligence

Session Name:Deep/Machine Learning-Based Quantitative Imaging & Modeling

Program Number:0435

Room Session:N11 (Breakout A)

Institution:Athinoula A. Martinos Center for Biomedical Imaging Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children’s Hospital National Nanotechnology Center Harvard Medical School Harvard/MIT Health Sciences and Technology

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Revealing diffusion time-dependence and exchange effect in the in vivo human brain gray matter by using high gradient diffusion MRI

Author:Hong Hsi Lee Jonas Olesen Qiyuan Tian Gabriel Ramos Llorden Sune Jespersen Susie Huang

Session Type:Oral

Session Date:Tuesday, 10 May 2022

Topic:Module 16: Diffusion

Session Name:Diffusion MRI in Gray Matter: Exchange & Restriction

Program Number:0254

Room Session:N11 (Breakout A)

Institution:Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital Center of Functionally Integrative Neuroscience (CFIN) and MINDLab, Department of Clinical Medicine, Aarhus University Aarhus University Harvard Medical School

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Displaying 1 - 12 of 12

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**3D-CAIPI-BUDA and Joint Hankel Low-Rank Reconstruction Enable Rapid and Distortion-free High-Resolution T2* Mapping and QSM**

Diffusion MRI data analysis using brain segmentation from anatomical images synthesized from diffusion data by deep learning(DeepAnat)

Diffusion Time Dependence of SANDI Analysis using High Gradient Diffusion MRI Data

Distortion- and ghosting-free high b-value ex vivo human brain diffusion MRI achieved with spatiotemporal magnetic field monitoring

Evaluation of Scout Accelerated Motion Estimation and Reduction (SAMER) for measurement of brain volume and cortical thickness

Improving the accessibility of deep learning-based denoising for MRI using transfer learning and self-supervised learning

In vivo demonstration of generalized anisotropy profiles for resolving boundaries between subcortical gray and white matter

In vivo demonstration of generalized anisotropy profiles for resolving boundaries between subcortical gray and white matter

Noise2Average: deep learning based denoising without high-SNR training data using iterative residual learning

Quantifying the uncertainty of neural networks using Monte Carlo dropout
for safer and more accurate deep learning based quantitative MRI

Rapid Quantitative Imaging Using Wave-Encoded Model-Based Deep Learning for Joint Reconstruction

Revealing diffusion time-dependence and exchange effect in the in vivo human brain gray matter by using high gradient diffusion MRI

Current Filters

TITLE

Author:

Filter

3D-CAIPI-BUDA and Joint Hankel Low-Rank Reconstruction Enable Rapid and Distortion-free High-Resolution T2* Mapping and QSM

Diffusion MRI data analysis using brain segmentation from anatomical images synthesized from diffusion data by deep learning(DeepAnat)

Diffusion Time Dependence of SANDI Analysis using High Gradient Diffusion MRI Data

Distortion- and ghosting-free high b-value ex vivo human brain diffusion MRI achieved with spatiotemporal magnetic field monitoring

Evaluation of Scout Accelerated Motion Estimation and Reduction (SAMER) for measurement of brain volume and cortical thickness

Improving the accessibility of deep learning-based denoising for MRI using transfer learning and self-supervised learning

In vivo demonstration of generalized anisotropy profiles for resolving boundaries between subcortical gray and white matter

In vivo demonstration of generalized anisotropy profiles for resolving boundaries between subcortical gray and white matter

Noise2Average: deep learning based denoising without high-SNR training data using iterative residual learning

Quantifying the uncertainty of neural networks using Monte Carlo dropout for safer and more accurate deep learning based quantitative MRI

Rapid Quantitative Imaging Using Wave-Encoded Model-Based Deep Learning for Joint Reconstruction

Revealing diffusion time-dependence and exchange effect in the in vivo human brain gray matter by using high gradient diffusion MRI

**3D-CAIPI-BUDA and Joint Hankel Low-Rank Reconstruction Enable Rapid and Distortion-free High-Resolution T2* Mapping and QSM**

Quantifying the uncertainty of neural networks using Monte Carlo dropout
for safer and more accurate deep learning based quantitative MRI