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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 Pƶlsterl, Christian Wachinger, Bernd Bischl, Andreas Bender, David RĆ¼gamer

* 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 Pƶlsterl, Christian Wachinger


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Importance Driven Continual Learning for Segmentation Across Domains


Apr 30, 2020
Sinan ƖzgĆ¼r ƖzgĆ¼n, 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 Pƶlsterl


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


Sep 09, 2019
Sebastian Pƶlsterl, Ignacio Sarasua, Benjamƭn GutiƩrrez-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 Pƶlsterl

* 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 Pƶlsterl, 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 Pƶlsterl, 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 Pƶlsterl, 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, RĆ¼diger Gƶbl, 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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Gaussian Process Uncertainty in Age Estimation as a Measure of Brain Abnormality


Apr 04, 2018
Benjamin Gutierrez Becker, Tassilo Klein, Christian Wachinger

* Paper accepted in Neuroimage 

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QuickNAT: Segmenting MRI Neuroanatomy in 20 seconds


Jan 12, 2018
Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger

* Under Review 

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ReLayNet: Retinal Layer and Fluid Segmentation of Macular Optical Coherence Tomography using Fully Convolutional Network


Jul 07, 2017
Abhijit Guha Roy, Sailesh Conjeti, Sri Phani Krishna Karri, Debdoot Sheet, Amin Katouzian, Christian Wachinger, Nassir Navab

* Accepted for Publication at Biomedical Optics Express 

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Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data


Jul 02, 2017
Abhijit Guha Roy, Sailesh Conjeti, Debdoot Sheet, Amin Katouzian, Nassir Navab, Christian Wachinger

* Accepted at MICCAI 2017 

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A Multi-Armed Bandit to Smartly Select a Training Set from Big Medical Data


May 29, 2017
BenjamĆ­n GutiĆ©rrez, LoĆÆc Peter, Tassilo Klein, Christian Wachinger

* MICCAI 2017 Proceedings 

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DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy


Feb 27, 2017
Christian Wachinger, Martin Reuter, Tassilo Klein

* Accepted for publication in NeuroImage, special issue "Brain Segmentation and Parcellation", 2017 

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Diverse Landmark Sampling from Determinantal Point Processes for Scalable Manifold Learning


Mar 11, 2015
Christian Wachinger, Polina Golland


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