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Displaying 1 - 12 of 12

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Application of Litz Wires in MRI Coil Design up to 15 MHz

Author:Robert Kowal Ivan Fomin Marcus Prier Enrico Pannicke Georg Rose Oliver Speck

Session Type:Digital Poster

Session Date:Tuesday, 10 May 2022

Topic:Module 8: Safety, Low-Field, and Interventional

Session Name:Low-Field MRI II

Program Number:1899

Room Session:Exhibition Hall:S8 & S9

Institution:Otto-von-Guericke University

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Development of a Low-Cost B₀ Field Mapping Device

Author:Marcel Eisenmann Ivan Fomin Marcus Prier Georg Rose Oliver Speck

Session Type:Digital Poster

Session Date:Monday, 09 May 2022

Topic:Module 8: Safety, Low-Field, and Interventional

Session Name:Interventional & Low-Field MRI

Program Number:1203

Room Session:Exhibition Hall:S8 & S9

Institution:Otto von Guericke University

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Learning to segment brain tumours using an explainable classifier

Author:Soumick Chatterjee Hadya Yassin Florian Dubost Andreas Nürnberger Oliver Speck

Session Type:Power Pitch

Session Date:Monday, 09 May 2022

Topic:Module 21: Machine Learning and Artificial Intelligence

Session Name:Pitch: Deep/Machine Learning-Based Image Analysis & Application

Program Number:0171

Room Session:Power Pitch Theatre 1

Institution:Otto von Guericke University Magdeburg Stanford University German Centre for NeurodegenerativeDiseases Center for Behavioral Brain Sciences Leibniz Institute for Neurobiology

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Learning to segment brain tumours using an explainable classifier

Author:Soumick Chatterjee Hadya Yassin Florian Dubost Andreas Nürnberger Oliver Speck

Session Type:Power Pitch Poster

Session Date:Monday, 09 May 2022

Topic:

Session Name:Poster: Deep/Machine Learning-Based Image Analysis & Application

Program Number:0171

Room Session:Power Pitch Theatre 1

Institution:Otto von Guericke University Magdeburg Stanford University German Centre for NeurodegenerativeDiseases Center for Behavioral Brain Sciences Leibniz Institute for Neurobiology

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Motion-robust dynamic abdominal MRI using k-t GRASP and dynamic dual-channel training of super-resolution U-Net (DDoS-UNet)

Author:Chompunuch Sarasaen Soumick Chatterjee Georg Rose Andreas Nürnberger Oliver Speck

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:4816

Room Session:2

Institution:Otto von Guericke University German Center for Neurodegenerative Disease Center for Behavioral Brain Sciences Leibniz Institute for Neurobiology

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Multi-scale UNet with Self-Constructing Graph Latent for Deformable Image Registration

Author:Soumick Chatterjee Himanshi Bajaj Mohammad Istiyak Hossain Siddiquee Nandish Subbarayappa Steve Simon Suraj Shashidhar Oliver Speck Andreas Nürnberger

Session Type:Power Pitch

Session Date:Monday, 09 May 2022

Topic:Module 21: Machine Learning and Artificial Intelligence

Session Name:Pitch: Deep/Machine Learning-Based Image Analysis & Application

Program Number:0173

Room Session:Power Pitch Theatre 1

Institution:Otto von Guericke University Magdeburg German Centre for NeurodegenerativeDiseases Center for Behavioral Brain Sciences Leibniz Institute for Neurobiology

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Multi-scale UNet with Self-Constructing Graph Latent for Deformable Image Registration

Author:Soumick Chatterjee Himanshi Bajaj Mohammad Istiyak Hossain Siddiquee Nandish Subbarayappa Steve Simon Suraj Shashidhar Oliver Speck Andreas Nürnberger

Session Type:Power Pitch Poster

Session Date:Monday, 09 May 2022

Topic:

Session Name:Poster: Deep/Machine Learning-Based Image Analysis & Application

Program Number:0173

Room Session:Power Pitch Theatre 1

Institution:Otto von Guericke University Magdeburg German Centre for NeurodegenerativeDiseases Center for Behavioral Brain Sciences Leibniz Institute for Neurobiology

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Resolution-dependency of arterial and venous density estimates and vessel distance maps in deep gray matter

Author:Hendrik Mattern Oliver Speck

Session Type:Digital Poster

Session Date:Monday, 09 May 2022

Topic:Module 29: Processing & Analysis

Session Name:Processing & Analysis: Data Analysis I

Program Number:1251

Room Session:Exhibition Hall:S8 & S9

Institution:Otto von Guericke University German Center for Neurodegenerative Disease Center for Behavioral Brain Sciences Leibniz Institute for Neurobiology

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Respiratory motion affects peak spatial SAR value and location – impact on safety supervision for 7T cardiac imaging

Author:Natalie Schoen Frank Seifert Gregory Metzger Oliver Speck Bernd Ittermann Sebastian Schmitter

Session Type:Digital Poster

Session Date:Thursday, 12 May 2022

Topic:Module 8: Safety, Low-Field, and Interventional

Session Name:MRI Safety I

Program Number:2547

Room Session:Exhibition Hall:S8 & S9

Institution:Otto-von-Guericke University Magdeburg Center for Magnetic Resonance Research, University of Minnesota Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin

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StRegA: Unsupervised Anomaly Detection in Brain MRIs using Compact Context-encoding Variational Autoencoder

Author:Soumick Chatterjee Alessandro Sciarra Max Dünnwald Pavan Tummala Shubham Agrawal Aishwarya Jauhari Aman Kalra Steffen Oeltze-Jafra Oliver Speck Andreas Nürnberger

Session Type:Power Pitch

Session Date:Monday, 09 May 2022

Topic:Module 21: Machine Learning and Artificial Intelligence

Session Name:Pitch: Deep/Machine Learning-Based Image Analysis & Application

Program Number:0172

Room Session:Power Pitch Theatre 1

Institution:Medical Faculty, University Hospital Otto von Guericke University Magdeburg Center for Behavioral Brain Sciences German Centre for NeurodegenerativeDiseases Leibniz Institute for Neurobiology

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StRegA: Unsupervised Anomaly Detection in Brain MRIs using Compact Context-encoding Variational Autoencoder

Author:Soumick Chatterjee Alessandro Sciarra Max Dünnwald Pavan Tummala Shubham Agrawal Aishwarya Jauhari Aman Kalra Steffen Oeltze-Jafra Oliver Speck Andreas Nürnberger

Session Type:Power Pitch Poster

Session Date:Monday, 09 May 2022

Topic:

Session Name:Poster: Deep/Machine Learning-Based Image Analysis & Application

Program Number:0172

Room Session:Power Pitch Theatre 1

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Uncertainty quantification for ground-truth free evaluation of deep learning reconstructions

Author:Soumick Chatterjee Alessandro Sciarra Max Dünnwald Anitha Bhat Talagini Ashoka Mayura Gurjar Cheepinahalli Vasudeva Shudarsan Saravanan Venkatesh Sambandham Steffen Oeltze-Jafra Oliver Speck Andreas Nürnberger

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:1875

Room Session:Exhibition Hall:S8 & S9

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Displaying 1 - 12 of 12

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Application of Litz Wires in MRI Coil Design up to 15 MHz

Development of a Low-Cost B₀ Field Mapping Device

Learning to segment brain tumours using an explainable classifier

Learning to segment brain tumours using an explainable classifier

Motion-robust dynamic abdominal MRI using k-t GRASP and dynamic dual-channel training of super-resolution U-Net (DDoS-UNet)

Multi-scale UNet with Self-Constructing Graph Latent for Deformable Image Registration

Multi-scale UNet with Self-Constructing Graph Latent for Deformable Image Registration

Resolution-dependency of arterial and venous density estimates and vessel distance maps in deep gray matter

Respiratory motion affects peak spatial SAR value and location – impact on safety supervision for 7T cardiac imaging

StRegA: Unsupervised Anomaly Detection in Brain MRIs using Compact Context-encoding Variational Autoencoder

StRegA: Unsupervised Anomaly Detection in Brain MRIs using Compact Context-encoding Variational Autoencoder

Uncertainty quantification for ground-truth free evaluation of deep learning reconstructions

Current Filters

TITLE

Author:

Filter

Application of Litz Wires in MRI Coil Design up to 15 MHz

Development of a Low-Cost B0 Field Mapping Device

Learning to segment brain tumours using an explainable classifier

Learning to segment brain tumours using an explainable classifier

Motion-robust dynamic abdominal MRI using k-t GRASP and dynamic dual-channel training of super-resolution U-Net (DDoS-UNet)

Multi-scale UNet with Self-Constructing Graph Latent for Deformable Image Registration

Multi-scale UNet with Self-Constructing Graph Latent for Deformable Image Registration

Resolution-dependency of arterial and venous density estimates and vessel distance maps in deep gray matter

Respiratory motion affects peak spatial SAR value and location – impact on safety supervision for 7T cardiac imaging

StRegA: Unsupervised Anomaly Detection in Brain MRIs using Compact Context-encoding Variational Autoencoder

StRegA: Unsupervised Anomaly Detection in Brain MRIs using Compact Context-encoding Variational Autoencoder

Uncertainty quantification for ground-truth free evaluation of deep learning reconstructions

Development of a Low-Cost B₀ Field Mapping Device