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Multi-Resolution 3D Convolutional Neural Networks for Automatic Coronary Centerline Extraction in Cardiac CT Angiography Scans


Oct 02, 2020
Zohaib Salahuddin, Matthias Lenga, Hannes Nickisch


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Intelligent Chest X-ray Worklist Prioritization by CNNs: A Clinical Workflow Simulation


Jan 23, 2020
Ivo M. Baltruschat, Leonhard Steinmeister, Hannes Nickisch, Axel Saalbach, Michael Grass, Gerhard Adam, Harald Ittrich, Tobias Knopp


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Learning a sparse database for patch-based medical image segmentation


Jun 25, 2019
Moti Freiman, Hannes Nickisch, Holger Schmitt, Pal Maurovich-Horvat, Patrick Donnelly, Mani Vembar, Liran Goshen

* Wu G., Munsell B., Zhan Y., Bai W., Sanroma G., Coup\'e P. (eds) Patch-Based Techniques in Medical Imaging. Patch-MI 2017. Lecture Notes in Computer Science, vol 10530. Springer, Cham 

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Improving CCTA based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation


Jun 24, 2019
Moti Freiman, Hannes Nickisch, Sven Prevrhal, Holger Schmitt, Mani Vembar, Pál Maurovich-Horvat, Patrick Donnelly, Liran Goshen

* Medical Physics 44: 1040-1049, 2017 

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Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction


Oct 30, 2018
William Herlands, Daniel B. Neill, Hannes Nickisch, Andrew Gordon Wilson


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When does Bone Suppression and Lung Field Segmentation Improve Chest X-Ray Disease Classification?


Oct 17, 2018
Ivo M. Baltruschat, Leonhard Steinmeister, Harald Ittrich, Gerhard Adam, Hannes Nickisch, Axel Saalbach, Jens von Berg, Michael Grass, Tobias Knopp


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State Space Gaussian Processes with Non-Gaussian Likelihood


Jul 05, 2018
Hannes Nickisch, Arno Solin, Alexander Grigorievskiy


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Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification


Mar 06, 2018
Ivo M. Baltruschat, Hannes Nickisch, Michael Grass, Tobias Knopp, Axel Saalbach

* submitted 

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Scalable Log Determinants for Gaussian Process Kernel Learning


Nov 09, 2017
Kun Dong, David Eriksson, Hannes Nickisch, David Bindel, Andrew Gordon Wilson

* Advances in Neural Information Processing Systems 30 (NIPS), 2017 
* Appears at Advances in Neural Information Processing Systems 30 (NIPS), 2017 

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Can Pretrained Neural Networks Detect Anatomy?


Dec 18, 2015
Vlado Menkovski, Zharko Aleksovski, Axel Saalbach, Hannes Nickisch

* NIPS 2015 Workshop on Machine Learning in Healthcare 

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Scalable Gaussian Processes for Characterizing Multidimensional Change Surfaces


Nov 13, 2015
William Herlands, Andrew Wilson, Hannes Nickisch, Seth Flaxman, Daniel Neill, Wilbert van Panhuis, Eric Xing

* 18 pages, 8 figures 

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Thoughts on Massively Scalable Gaussian Processes


Nov 05, 2015
Andrew Gordon Wilson, Christoph Dann, Hannes Nickisch

* 25 pages, 9 figures 

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Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP)


Mar 03, 2015
Andrew Gordon Wilson, Hannes Nickisch

* 19 pages, 4 figures 

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Multiple Kernel Learning: A Unifying Probabilistic Viewpoint


Jun 07, 2012
Hannes Nickisch, Matthias Seeger


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Additive Gaussian Processes


Dec 19, 2011
David Duvenaud, Hannes Nickisch, Carl Edward Rasmussen

* Appearing in Neural Information Processing Systems 2011 

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Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference


Dec 16, 2010
Matthias W. Seeger, Hannes Nickisch

* 16 pages, 3 figures, submitted for conference publication 

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Large Scale Variational Inference and Experimental Design for Sparse Generalized Linear Models


Aug 12, 2010
Matthias W. Seeger, Hannes Nickisch

* 34 pages, 6 figures, technical report (submitted) 

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Gaussian Mixture Modeling with Gaussian Process Latent Variable Models


Jul 13, 2010
Hannes Nickisch, Carl Edward Rasmussen

* 11 pages, 2 figures, 3 tables 

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Learning an Interactive Segmentation System


Dec 13, 2009
Hannes Nickisch, Pushmeet Kohli, Carsten Rother

* 11 pages, 7 figures, 4 tables 

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