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Analysing The Role Of Model Uncertainty in Flourine-19 MRI using Markov Chain Monte Carlo methods

Author:Masoumeh Javanbakhat  Ludger Starke  Sonia Waiczies  Christoph Lippert  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quality Assessment & Data Harmonization I  

Program Number:1793  

Room Session:Exhibition Hall:S8 & S9  

Institution:Hasso Plattner Institute  Max Delbrück Centre for Moleculare Medicine in the Helmholtz Association  

Convolutional Neuronal Network Inception-v3 detects Partial Volume Artifacts on 2D MR-Images of the Lung for Automated Quality Control

Author:Andreas Voskrebenzev  Cristian Crisosto  Maximilian Zubke  Frank Wacker  Jens Vogel-Claussen  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quality Assessment & Data Harmonization I  

Program Number:1790  

Room Session:Exhibition Hall:S8 & S9  

Institution:Institute of Diagnostic and Interventional Radiology, Hannover Medical School  Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH)  

Deeping-Learningbasedacceleration for Serial MRimagingusing Transformer (SMR-Transformer): Comparison with CNNonThree Datasets

Author:Chuyu Liu  Shuo Chen  Yibing Chen  Rui Li  Xiaolei Song  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quality Assessment & Data Harmonization I  

Program Number:1796  

Room Session:Exhibition Hall:S8 & S9  

Institution:Northwest University  Tsinghua University  

Developing pattern recognition models to extract longitudinal network-based measures at an individual level

Author:Elisa Colato  Claudia Wheeler-Kingshott  Douglas Arnold  Frederik Barkhof  Olga Ciccarelli  Declan Chard  Arman Eshaghi  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quality Assessment & Data Harmonization I  

Program Number:1795  

Room Session:Exhibition Hall:S8 & S9  

Institution:McGill University  University College London (UCL)  C. Mondino National Neurological Institute  University College London Hospitals (UCLH) Biomedical Research Centre (BRC)  University of Pavia  VU medical centre  

Grey Matter Connectome Data Analysis and Classification of Multiple Sclerosis Clinical Profiles

Author:Berardino Barile  Claudio Stamile  Sabine Van Huffel  Dominique Sappey-Marinier  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quality Assessment & Data Harmonization I  

Program Number:1792  

Room Session:Exhibition Hall:S8 & S9  

Institution:KU Leuven  R&D Department CGnal Milan, Italy  Université Claude Bernard-Lyon1 & INSA-Lyon, France  

Multi-Scale Evaluation of Uncertainty Quantification Techniques for Deep Learning based MRI Segmentation

Author:Benjamin Lambert  Florence Forbes  Alan Tucholka  Senan Doyle  Michel Dojat  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quality Assessment & Data Harmonization I  

Program Number:1791  

Room Session:Exhibition Hall:S8 & S9  

Institution:Pixyl, Research and Development Laboratory, 38000  Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LJK, 38000  Univ. Grenoble Alpes, Inserm, U1216, Grenoble Institut Neurosciences, GIN, 38000  

Predicting artifacts in maximum intensity projections of high b-value DWI of the breast using neural networks.

Author:Andrzej Liebert  Lorenz Kapsner  Lukas Folle  Hannes Schreiter  Badhan Das  Sabine Ohlmeyer  Andreas Maier  Evelyn Wenkel  Frederik Laun  Michael Uder  Sebastian Bickelhaupt  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quality Assessment & Data Harmonization I  

Program Number:1788  

Room Session:Exhibition Hall:S8 & S9  

Institution:Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)  Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander University Erlangen Nuremberg  

Predicting Perfusion Augmentation Using Deep Learning without Vasodilators

Author:Moss Zhao  Ramy Hussein  Michael Moseley  Greg Zaharchuk  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quality Assessment & Data Harmonization I  

Program Number:1789  

Room Session:Exhibition Hall:S8 & S9  

Institution:Stanford University  

Resting-state functional connectivity predicts subsequent pain-related threat learning

Author:Balint Kincses  Katarina Forkmann  Katharina Schmidt  Ulrike Bingel  Tamas Spisak  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quality Assessment & Data Harmonization I  

Program Number:1794  

Room Session:Exhibition Hall:S8 & S9  

Institution:University Hospital Essen