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TransforMesh: A Transformer Network for Longitudinal modeling of Anatomical Meshes


Sep 01, 2021
Ignacio Sarasua, Sebastian Polsterl, Christian Wachinger


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Alzheimer's Disease Diagnosis via Deep Factorization Machine Models


Aug 12, 2021
Raphael Ronge, Kwangsik Nho, Christian Wachinger, Sebastian Pölsterl

* Accepted at International Workshop on Machine Learning in Medical Imaging (MLMI) 2021 

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Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data


Jul 13, 2021
Sebastian Pölsterl, Christina Aigner, Christian Wachinger

* Accepted at 2021 International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 

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Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform


Jul 13, 2021
Sebastian Pölsterl, Tom Nuno Wolf, Christian Wachinger

* Accepted at 2021 International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 

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The Medical Segmentation Decathlon


Jun 10, 2021
Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, AnnetteKopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick F. Christ, Richard K. G. Do, Marc J. Gollub, Stephan H. Heckers, Henkjan Huisman, William R. Jarnagin, Maureen K. McHugo, Sandy Napel, Jennifer S. Goli Pernicka, Kawal Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, Henkjan Huisman, James A. Meakin, Sebastien Ourselin, Manuel Wiesenfarth, Pablo Arbelaez, Byeonguk Bae, Sihong Chen, Laura Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, Beomhee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso


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STRUDEL: Self-Training with Uncertainty Dependent Label Refinement across Domains


Apr 23, 2021
Fabian Gröger, Anne-Marie Rickmann, Christian Wachinger


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Geometric Deep Learning on Anatomical Meshes for the Prediction of Alzheimer's Disease


Apr 20, 2021
Ignacio Sarasua, Jonwong Lee, Christian Wachinger


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Recalibration of Neural Networks for Point Cloud Analysis


Nov 25, 2020
Ignacio Sarasua, Sebastian Poelsterl, Christian Wachinger


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Semi-Structured Deep Piecewise Exponential Models


Nov 11, 2020
Philipp Kopper, Sebastian Pölsterl, Christian Wachinger, Bernd Bischl, Andreas Bender, David Rügamer

* 8 pages, 3 figures 

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Discriminative and Generative Models for Anatomical Shape Analysison Point Clouds with Deep Neural Networks


Oct 02, 2020
Benjamin Gutierrez Becker, Ignacio Sarasua, Christian Wachinger

* Accepted for publication in the Medical Image Analysis journal 

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Controlling for Unknown Confounders in Neuroimaging


Jun 23, 2020
Sebastian Pölsterl, Christian Wachinger


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Importance Driven Continual Learning for Segmentation Across Domains


Apr 30, 2020
Sinan Ă–zgĂĽr Ă–zgĂĽn, Anne-Marie Rickmann, Abhijit Guha Roy, Christian Wachinger


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Recalibrating 3D ConvNets with Project & Excite


Feb 25, 2020
Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Christian Wachinger

* Accepted for publication at IEEE Transactions on Medical Imaging 

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Detect and Correct Bias in Multi-Site Neuroimaging Datasets


Feb 12, 2020
Christian Wachinger, Anna Rieckmann, Sebastian Pölsterl


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A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data


Sep 09, 2019
Sebastian Pölsterl, Ignacio Sarasua, Benjamín Gutiérrez-Becker, Christian Wachinger

* Data and Machine Learning Advances with Multiple Views Workshop, ECML-PKDD 2019 

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Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference


Jul 09, 2019
Christian Wachinger, Benjamin Gutierrez Becker, Anna Rieckmann, Sebastian Pölsterl

* MICCAI 2019 

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`Project & Excite' Modules for Segmentation of Volumetric Medical Scans


Jun 12, 2019
Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Nassir Navab, Christian Wachinger

* Accepted for International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2019 

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Likelihood-Free Inference and Generation of Molecular Graphs


May 24, 2019
Sebastian Pölsterl, Christian Wachinger


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BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning


May 16, 2019
Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl, Nassir Navab, Christian Wachinger


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'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images


Feb 04, 2019
Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl, Nassir Navab, Christian Wachinger

* Submitted to Medical Image Analysis MICCAI 2018 Special Issue 

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Data Augmentation with Manifold Exploring Geometric Transformations for Increased Performance and Robustness


Jan 14, 2019
Magdalini Paschali, Walter Simson, Abhijit Guha Roy, Muhammad Ferjad Naeem, Rüdiger Göbl, Christian Wachinger, Nassir Navab

* Under Review for the 26th International Conference on Information Processing in Medical Imaging (IPMI) 2019 

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Bayesian QuickNAT: Model Uncertainty in Deep Whole-Brain Segmentation for Structure-wise Quality Control


Nov 24, 2018
Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger

* Under Review in NeuroImage 

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InfiNet: Fully Convolutional Networks for Infant Brain MRI Segmentation


Oct 11, 2018
Shubham Kumar, Sailesh Conjeti, Abhijit Guha Roy, Christian Wachinger, Nassir Navab

* Kumar, Shubham, et al. ISBI, IEEE (2018)(pp. 145-148) 
* 4 pages, 3 figures, conference, IEEE ISBI, 2018 

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Recalibrating Fully Convolutional Networks with Spatial and Channel 'Squeeze & Excitation' Blocks


Aug 23, 2018
Abhijit Guha Roy, Nassir Navab, Christian Wachinger

* Accepted for publication in IEEE Transactions on Medical Imaging. arXiv admin note: text overlap with arXiv:1803.02579 

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Deep Shape Analysis on Abdominal Organs for Diabetes Prediction


Aug 06, 2018
Benjamin Gutierrez-Becker, Sergios Gatidis, Daniel Gutmann, Annette Peters, Christopher Schlett Fabian Bamberg, Christian Wachinger

* Accepted for publication at the ShapeMI MICCAI Workshop 2018 

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Keypoint Transfer for Fast Whole-Body Segmentation


Jun 22, 2018
Christian Wachinger, Matthew Toews, Georg Langs, William Wells, Polina Golland

* Accepted for publication at IEEE Transactions on Medical Imaging 

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Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks


Jun 08, 2018
Abhijit Guha Roy, Nassir Navab, Christian Wachinger

* Accepted at MICCAI 2018 

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Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling


Jun 08, 2018
Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger

* Accepted at MICCAI 2018 

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Deep Multi-Structural Shape Analysis: Application to Neuroanatomy


Jun 04, 2018
Benjamin Gutierrez-Becker, Christian Wachinger

* Accepted at MICCAI 2018 

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Detect, Quantify, and Incorporate Dataset Bias: A Neuroimaging Analysis on 12,207 Individuals


Apr 28, 2018
Christian Wachinger, Benjamin Gutierrez Becker, Anna Rieckmann


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