Compressed sensing and Bayesian experimental design. - Matthias W. Seeger; Hannes Nickisch (ICML, 2008)

Bayesian Experimental Design of Magnetic Resonance Imaging Sequences. - Matthias W. Seeger; Hannes Nickisch; Rolf Pohmann; Bernhard Schölkopf (NIPS, 2008)

Learning to detect unseen object classes by between-class attribute transfer. - Christoph H. Lampert; Hannes Nickisch; Stefan Harmeling (CVPR, 2009)

Large Scale Variational Inference and Experimental Design for Sparse Generalized Linear Models. - Matthias W. Seeger; Hannes Nickisch (Sampling-based Optimization in the Presence of Uncertainty, 2009)

Convex variational Bayesian inference for large scale generalized linear models. - Hannes Nickisch; Matthias W. Seeger (ICML, 2009)

Learning an Interactive Segmentation System - Hannes Nickisch; Pushmeet Kohli; Carsten Rother (CoRR, 2009)

Gaussian Mixture Modeling with Gaussian Process Latent Variable Models. - Hannes Nickisch; Carl Edward Rasmussen (DAGM-Symposium, 2010)

Learning an interactive segmentation system. - Hannes Nickisch; Carsten Rother; Pushmeet Kohli; Christoph Rhemann (ICVGIP, 2010)

Gaussian Processes for Machine Learning (GPML) Toolbox. - Carl Edward Rasmussen; Hannes Nickisch (J. Mach. Learn. Res., 2010)

Bayesian inference and experimental design for large generalised linear models. - Hannes Nickisch (2010)

Additive Gaussian Processes. - David Duvenaud; Hannes Nickisch; Carl Edward Rasmussen (NIPS, 2011)

Regularized Sparse Kernel Slow Feature Analysis. - Wendelin Böhmer; Steffen Grünewälder; Hannes Nickisch; Klaus Obermayer (ECML/PKDD (1), 2011)

Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference. - Matthias W. Seeger; Hannes Nickisch (AISTATS, 2011)

Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models. - Matthias W. Seeger; Hannes Nickisch (SIAM J. Imaging Sci., 2011)

From Image to Personalized Cardiac Simulation: Encoding Anatomical Structures into a Model-Based Segmentation Framework. - Hannes Nickisch; Hans Barschdorf; Frank M. Weber; Martin W. Krueger; Olaf Dössel; Jürgen Weese (STACOM, 2012)

User-Centric Learning and Evaluation of Interactive Segmentation Systems. - Pushmeet Kohli; Hannes Nickisch; Carsten Rother; Christoph Rhemann (Int. J. Comput. Vis., 2012)

glm-ie: Generalised Linear Models Inference & Estimation Toolbox. - Hannes Nickisch (J. Mach. Learn. Res., 2012)

Generating feature spaces for linear algorithms with regularized sparse kernel slow feature analysis. - Wendelin Böhmer; Steffen Grünewälder; Hannes Nickisch; Klaus Obermayer (Mach. Learn., 2012)

Generating anatomical models of the heart and the aorta from medical images for personalized physiological simulations. - Jürgen Weese; Alexandra Groth; Hannes Nickisch; Hans Barschdorf; Frank M. Weber; Jérôme Velut; Miguel Castro 002; Christine Toumoulin; Jean-Louis Coatrieux; Mathieu De Craene; Gemma Piella; Catalina Tobon-Gomez; et al. (Medical Biol. Eng. Comput., 2013)

Attribute-Based Classification for Zero-Shot Visual Object Categorization. - Christoph H. Lampert; Hannes Nickisch; Stefan Harmeling (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods. - Seth R. Flaxman; Andrew Gordon Wilson; Daniel B. Neill; Hannes Nickisch; Alexander J. Smola (ICML, 2015)

Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP). - Andrew Gordon Wilson; Hannes Nickisch (ICML, 2015)

Learning Patient-Specific Lumped Models for Interactive Coronary Blood Flow Simulations. - Hannes Nickisch; Yechiel Lamash; Sven Prevrhal; Moti Freiman; Mani Vembar; Liran Goshen; Holger Schmitt (MICCAI (2), 2015)

Can Pretrained Neural Networks Detect Anatomy? - Vlado Menkovski; Zharko Aleksovski; Axel Saalbach; Hannes Nickisch (CoRR, 2015)

Thoughts on Massively Scalable Gaussian Processes. - Andrew Gordon Wilson; Christoph Dann; Hannes Nickisch (CoRR, 2015)

Scalable Gaussian Processes for Characterizing Multidimensional Change Surfaces. - William Herlands; Andrew Gordon Wilson; Hannes Nickisch; Seth R. Flaxman; Daniel B. Neill; Wilbert Van Panhuis; Eric P. Xing (AISTATS, 2016)

SVM-based failure detection of GHT localizations. - Thomas Blaffert; Cristian Lorenz; Hannes Nickisch; Jochen Peters; Jürgen Weese (Image Processing, 2016)

Automatic coronary lumen segmentation with partial volume modeling improves lesions' hemodynamic significance assessment. - Moti Freiman; Yechiel Lamash; Guy Gilboa; Hannes Nickisch; Sven Prevrhal; Holger Schmitt; Mani Vembar; Liran Goshen (Image Processing, 2016)

Learning a Sparse Database for Patch-Based Medical Image Segmentation. - Moti Freiman; Hannes Nickisch; Holger Schmitt; Pál Maurovich-Horvat; Patrick Donnelly; Mani Vembar; Liran Goshen (Patch-MI@MICCAI, 2017)

Scalable Log Determinants for Gaussian Process Kernel Learning. - Kun Dong; David Eriksson; Hannes Nickisch; David Bindel; Andrew Gordon Wilson (NIPS, 2017)

State Space Gaussian Processes with Non-Gaussian Likelihood. - Hannes Nickisch; Arno Solin; Alexander Grigorevskiy (ICML, 2018)

Orientation regression in hand radiographs: a transfer learning approach. - Ivo M. Baltruschat; Axel Saalbach; Mattias P. Heinrich; Hannes Nickisch; Sascha Jockel (Image Processing, 2018)

Deep-learning-based CT motion artifact recognition in coronary arteries. - Tanja Elss; Hannes Nickisch; Tobias Wissel; Holger Schmitt; Mani Vembar; Michael M. Morlock; Michael Grass 001 (Image Processing, 2018)

Nearest neighbor 3D segmentation with context features. - Evelin Hristova; Heinrich Schulz; Tom Brosch; Mattias P. Heinrich; Hannes Nickisch (Image Processing, 2018)

Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification. - Ivo M. Baltruschat; Hannes Nickisch; Michael Grass 001; Tobias Knopp 001; Axel Saalbach (CoRR, 2018)

Abstract: Does Bone Suppression and Lung Detection Improve Chest Disease Classification? - Ivo M. Baltruschat; Leonhard Steinmeister; Harald Ittrich; Gerhard Adam; Hannes Nickisch; Axel Saalbach; Jens von Berg; Michael Grass 001; Tobias Knopp 001 (Bildverarbeitung für die Medizin, 2019)

When Does Bone Suppression And Lung Field Segmentation Improve Chest X-Ray Disease Classification? - Ivo M. Baltruschat; Leonhard Steinmeister; Harald Ittrich; Gerhard Adam; Hannes Nickisch; Axel Saalbach; Jens von Berg; Michael Grass 001; Tobias Knopp 001 (ISBI, 2019)

How to Learn from Unlabeled Volume Data: Self-supervised 3D Context Feature Learning. - Maximilian Blendowski; Hannes Nickisch; Mattias P. Heinrich (MICCAI (6), 2019)

Dynamic Pacemaker Artifact Removal (DyPAR) from CT Data using CNNs. - Tanja Lossau; Hannes Nickisch; Tobias Wissel; Samer Hakmi; Clemens Spink; Michael M. Morlock; Michael Grass 001 (MIDL, 2019)

Motion estimation and correction in cardiac CT angiography images using convolutional neural networks. - Tanja Lossau; Hannes Nickisch; Tobias Wissel; Rolf-Dieter Bippus; Holger Schmitt; Michael M. Morlock; Michael Grass 001 (Comput. Medical Imaging Graph., 2019)

Improving CCTA based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation. - Moti Freiman; Hannes Nickisch; Sven Prevrhal; Holger Schmitt; Mani Vembar; Pál Maurovich-Horvat; Patrick Donnelly; Liran Goshen (CoRR, 2019)

Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction. - William Herlands; Daniel B. Neill; Hannes Nickisch; Andrew Gordon Wilson (J. Mach. Learn. Res., 2019)

Motion artifact recognition and quantification in coronary CT angiography using convolutional neural networks. - Tanja Lossau; Hannes Nickisch; Tobias Wissel; Rolf Bippus; Holger Schmitt; Michael M. Morlock; Michael Grass 001 (Medical Image Anal., 2019)

Intelligent Chest X-ray Worklist Prioritization by CNNs: A Clinical Workflow Simulation. - Ivo M. Baltruschat; Leonhard Steinmeister; Hannes Nickisch; Axel Saalbach; Michael Grass 001; Gerhard Adam; Harald Ittrich; Tobias Knopp 001 (CoRR, 2020)

Learning metal artifact reduction in cardiac CT images with moving pacemakers. - Tanja Lossau; Hannes Nickisch; Tobias Wissel; Michael M. Morlock; Michael Grass 001 (Medical Image Anal., 2020)

Multi-Resolution 3D Convolutional Neural Networks for Automatic Coronary Centerline Extraction in Cardiac CT Angiography Scans. - Zohaib Salahuddin; Matthias Lenga; Hannes Nickisch (ISBI, 2021)

Machine-learning-based clinical plaque detection using a synthetic plaque lesion model for coronary CTA. - Nikolas Schnellbächer; Haissam Ragab; Hannes Nickisch; Tobias Wissel; Clemens Spink; Gunnar Lund; Michael Grass 001 (Computer-Aided Diagnosis, 2021)

Delineation of coronary stents in intravascular ultrasound pullbacks. - Tobias Wissel; Katharina A. Riedl; Klaus Schaefers; Hannes Nickisch; Fabian J. Brunner; Nikolas Schnellbächer; Stefan Blankenberg; Moritz Seiffert; Michael Grass 001 (Image-Guided Procedures, 2021)