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Displaying 1 - 15 of 15

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Brain Growth and Folding Processes Using Deep Neural Networks

Author:Yanchen Guo Poorya Chavoshnejad Mir Razavi Weiying Dai

Session Type:Online Gather.town Pitches

Session Date:Tuesday, 10 May 2022

Topic:Module 21: Machine Learning and Artificial Intelligence

Session Name:Machine Learning/Artificial Intelligence III

Program Number:3918

Room Session:1

Institution:State University of New York at Binghamton

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Bridging Structural MRI with Cognitive Function for Individual Level Classification of Early Psychosis via Deep Learning

Author:Yang Wen Chuan Zhou Leiting Chen Yu Deng Martine Cleusix Raoul Jenni Philippe Conus Kim Do Lijing Xin

Session Type:Online Gather.town Pitches

Session Date:Tuesday, 10 May 2022

Topic:Module 21: Machine Learning and Artificial Intelligence

Session Name:Machine Learning/Artificial Intelligence III

Program Number:3926

Room Session:1

Institution:Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne (UNIL) Ecole Polytechnique Fédérale de Lausanne (EPFL) King's College London University of Electronic Science and Technology of China

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Classification of Schizophrenia with Structural MRI Using 3D-MIGR Transformer

Author:Ye Tian Junhao Zhang Xuemin Zhu Pin-Yu Lee Vishwanatha Rao Zhuoyao Xin Andrew Laine Scott Small Jia Guo

Session Type:Online Gather.town Pitches

Session Date:Tuesday, 10 May 2022

Topic:Module 21: Machine Learning and Artificial Intelligence

Session Name:Machine Learning/Artificial Intelligence III

Program Number:3916

Room Session:1

Institution:Columbia University

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Deep learning-based slice resolution for improved slice coverage in abdominal T₂ mapping

Author:Eze Ahanonu Zhiyang Fu Kevin Johnson Rohit Philip Diego Martin Maria Altbach Ali Bilgin

Session Type:Online Gather.town Pitches

Session Date:Tuesday, 10 May 2022

Topic:Module 21: Machine Learning and Artificial Intelligence

Session Name:Machine Learning/Artificial Intelligence III

Program Number:3922

Room Session:1

Institution:Houston Methodist Hospital University of Arizona

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Detection and prediction of background parenchymal enhancement on breast MRI using deep learning

Author:Badhan Kumar Das Lorenz A. Kapsner Sabine Ohlmeyer Frederik B. Laun Andreas Maier Michael Uder Evelyn Wenkel Sebastian Bickelhaupt Andrzej Liebert

Session Type:Online Gather.town Pitches

Session Date:Tuesday, 10 May 2022

Topic:Module 21: Machine Learning and Artificial Intelligence

Session Name:Machine Learning/Artificial Intelligence III

Program Number:3927

Room Session:1

Institution:Friedrich-Alexander University Erlangen-Nürnberg (FAU) University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg (FAU)

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Exploration of vision transformer models in medical images synthesis

Author:Weijie Chen Seyed Iman Zare Estakhraji Alan McMillan

Session Type:Online Gather.town Pitches

Session Date:Tuesday, 10 May 2022

Topic:Module 21: Machine Learning and Artificial Intelligence

Session Name:Machine Learning/Artificial Intelligence III

Program Number:3921

Room Session:1

Institution:Department of Radiology and Medical Physics University of Wisconsin-Madison

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Improved Padding in CNNs for Quantitative Susceptibility Mapping

Author:Juan Liu

Session Type:Online Gather.town Pitches

Session Date:Tuesday, 10 May 2022

Topic:Module 21: Machine Learning and Artificial Intelligence

Session Name:Machine Learning/Artificial Intelligence III

Program Number:3923

Room Session:1

Institution:Yale University

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Improving Motion-Robust Structural Imaging at 7T with Deep Learning-Based PROPELLER Reconstruction

Author:Daniel Litwiller Xinzeng Wang R Lebel Baolian Yang Jeffrey McGovern Brian Burns Suchandrima Banerjee

Session Type:Online Gather.town Pitches

Session Date:Tuesday, 10 May 2022

Topic:Module 21: Machine Learning and Artificial Intelligence

Session Name:Machine Learning/Artificial Intelligence III

Program Number:3920

Room Session:1

Institution:GE Healthcare

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Increased Brain Age Gap Estimate (BrainAGE) in APOE4 carriers with Alzheimer’s disease

Author:Xuemin Zhu Pin-Yu Lee Ye Tian Andrew Laine Tal Nuriel Jia Guo

Session Type:Online Gather.town Pitches

Session Date:Tuesday, 10 May 2022

Topic:Module 21: Machine Learning and Artificial Intelligence

Session Name:Machine Learning/Artificial Intelligence III

Program Number:3924

Room Session:1

Institution:Columbia University Taub Institute Zuckerman Institute

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Learning to segment with limited annotations: Self-supervised pretraining with Regression and Contrastive loss in MRI

Author:Lavanya Umapathy Zhiyang Fu Rohit Philip Diego Martin Maria Altbach Ali Bilgin

Session Type:Online Gather.town Pitches

Session Date:Tuesday, 10 May 2022

Topic:Module 21: Machine Learning and Artificial Intelligence

Session Name:Machine Learning/Artificial Intelligence III

Program Number:3914

Room Session:1

Institution:Houston Methodist Hospital University of Arizona

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MRI protocol recommendation using deep metric learning

Author:Mohamad Abdi Yu Zhao Sepehr Farhand Ke Zeng Mahesh Ranganath Yoshihisa Shinagawa Gerardo Hermosillo

Session Type:Online Gather.town Pitches

Session Date:Tuesday, 10 May 2022

Topic:Module 21: Machine Learning and Artificial Intelligence

Session Name:Machine Learning/Artificial Intelligence III

Program Number:3925

Room Session:1

Institution:Siemens Healthineers

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Predicting Selective Inversion Recovery Myelin Images from Routine Clinical Images and a Simple Linear Model

Author:Nicholas Sisco Francesca Bagnato Ashley Stokes Richard Dortch

Session Type:Online Gather.town Pitches

Session Date:Tuesday, 10 May 2022

Topic:Module 21: Machine Learning and Artificial Intelligence

Session Name:Machine Learning/Artificial Intelligence III

Program Number:3917

Room Session:1

Institution:Barrow Neurological Institute Vanderbilt University Medical Center

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Robust Diffusion-Weighted Imaging with Deep Learning-Based DW PROPELLER Reconstruction

Author:Xinzeng Wang Ali Ersoz Daniel Litwiller Jingfei Ma Jason Stafford Ersin Bayram

Session Type:Online Gather.town Pitches

Session Date:Tuesday, 10 May 2022

Topic:Module 21: Machine Learning and Artificial Intelligence

Session Name:Machine Learning/Artificial Intelligence III

Program Number:3919

Room Session:1

Institution:GE Healthcare MD Anderson Cancer Center

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Synthetic MRI aids in glioblastoma survival prediction

Author:Rafael Navarro-González Elisa Moya-Sáez Rodrigo de Luis-García Santiago Aja-Fernández Carlos Alberola-López

Session Type:Online Gather.town Pitches

Session Date:Tuesday, 10 May 2022

Topic:Module 21: Machine Learning and Artificial Intelligence

Session Name:Machine Learning/Artificial Intelligence III

Program Number:3928

Room Session:1

Institution:University of Valladolid

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T2 Mapping of the Prostate with a Convolutional Neural Network

Author:Sara Saunders Mitchell Gross Gregory Metzger Patrick Bolan

Session Type:Online Gather.town Pitches

Session Date:Tuesday, 10 May 2022

Topic:Module 21: Machine Learning and Artificial Intelligence

Session Name:Machine Learning/Artificial Intelligence III

Program Number:3915

Room Session:1

Institution:University of Minnesota

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Displaying 1 - 15 of 15

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Brain Growth and Folding Processes Using Deep Neural Networks

Bridging Structural MRI with Cognitive Function for Individual Level Classification of Early Psychosis via Deep Learning

Classification of Schizophrenia with Structural MRI Using 3D-MIGR Transformer

Deep learning-based slice resolution for improved slice coverage in abdominal T₂ mapping

Detection and prediction of background parenchymal enhancement on breast MRI using deep learning

Exploration of vision transformer models in medical images synthesis

Improved Padding in CNNs for Quantitative Susceptibility Mapping

Improving Motion-Robust Structural Imaging at 7T with Deep Learning-Based PROPELLER Reconstruction

Increased Brain Age Gap Estimate (BrainAGE) in APOE4 carriers with Alzheimer’s disease

Learning to segment with limited annotations: Self-supervised pretraining with Regression and Contrastive loss in MRI

MRI protocol recommendation using deep metric learning

Predicting Selective Inversion Recovery Myelin Images from Routine Clinical Images and a Simple Linear Model

Robust Diffusion-Weighted Imaging with Deep Learning-Based DW PROPELLER Reconstruction

Synthetic MRI aids in glioblastoma survival prediction

T2 Mapping of the Prostate with a Convolutional Neural Network

Current Filters

TITLE

Session Name:

Filter

Brain Growth and Folding Processes Using Deep Neural Networks

Bridging Structural MRI with Cognitive Function for Individual Level Classification of Early Psychosis via Deep Learning

Classification of Schizophrenia with Structural MRI Using 3D-MIGR Transformer

Deep learning-based slice resolution for improved slice coverage in abdominal T2 mapping

Detection and prediction of background parenchymal enhancement on breast MRI using deep learning

Exploration of vision transformer models in medical images synthesis

Improved Padding in CNNs for Quantitative Susceptibility Mapping

Improving Motion-Robust Structural Imaging at 7T with Deep Learning-Based PROPELLER Reconstruction

Increased Brain Age Gap Estimate (BrainAGE) in APOE4 carriers with Alzheimer’s disease

Learning to segment with limited annotations: Self-supervised pretraining with Regression and Contrastive loss in MRI

MRI protocol recommendation using deep metric learning

Predicting Selective Inversion Recovery Myelin Images from Routine Clinical Images and a Simple Linear Model

Robust Diffusion-Weighted Imaging with Deep Learning-Based DW PROPELLER Reconstruction

Synthetic MRI aids in glioblastoma survival prediction

T2 Mapping of the Prostate with a Convolutional Neural Network

Deep learning-based slice resolution for improved slice coverage in abdominal T₂ mapping