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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  

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  

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  

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  

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  

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  

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  

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  

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

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  

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