Conference Paper

2014 Conference Paper

Sparse feature selection by information theory

Guangyao Zhou, Stuart Geman, Joachim M. Buhmann,

2014 IEEE International Symposium on Information Theory,

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2014 Conference Paper

Semi-automatic Crohn’s Disease Severity Estimation on MR Imaging

Peter J. Schüffler, Dwarikanath Mahapatra, Robiel Naziroglu, Zhang Li, Carl A.J. Puylaert, Rado Andriantsimiavona, Franciscus M. Vos, Doug A. Pendsé, C. Yung Nio, Jaap Stoker, Stuart A. Taylor, Joachim M. Buhmann,

6th MICCAI Workshop on Abdominal Imaging: Computational and Clinical Applications (ABDI 2014), 8676

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Computer Vision Crohn S Disease Crohn S Disease Severity Mri

2014 Conference Paper

How informative are Minimum Spanning Tree algorithms?

Alexey Gronskiy, Joachim M. Buhmann,

2014 IEEE International Symposium on Information Theory, ISIT,

Research Collection

2014 Conference Paper

Free Energy Rates for a Class of Very Noisy Optimization Problems

Joachim M. Buhmann, Alexey Gronskiy, Wojciech Szpankowski,

25th International Conference on Probabilistic, Combinatorial and Asymptotic Methods for the Analysis of Algorithms, AofA 2014, BA

Research Collection

Combinatorial Optimization Boltzmann Distribution Free Energy Partition Function

2014 Conference Paper

Fast and Robust Least Squares Estimation in Corrupted Linear Models

Brian McWilliams, Gabriel Krummenacher, Mario Lucic, Joachim M. Buhmann,

28th Annual Conference on Neural Information Processing Systems 2014, 27

Research Collection

2014 Conference Paper

Correlated random features for fast semi-supervised learning

Brian McWilliams, David Balduzzi, Joachim M. Buhmann,

27th Annual Conference on Neural Information Processing Systems (NIPS 2013),

Research Collection

2014 Conference Paper

Convolutional Decision Trees for Feature Learning and Segmentation

Dmitry Laptev, Joachim M. Buhmann,

36th German Conference on Pattern Recognition (GCPR 2014), 8753

Research Collection

2014 Conference Paper

Combining Multiple Expert Annotations Using Semi-Supervised Learning And Graph Cuts For Crohn’s Disease Segmentation

Dwarikanath Mahapatra, Peter J. Schüffler, Jeroen A.W. Tielbeek, Carl A.J. Puylaert, Jesica C. Makanyanga, Alex Menys, Rado Andriantsimiavona, Jaap Stoker, Stuart A. Taylor, Franciscus M. Vos, Joachim M. Buhmann,

6th MICCAI Workshop on Abdominal Imaging: Computational and Clinical Applications, 8676

Research Collection

Graph Cut Crohn S Disease Magnetic Resonance Random Forest Markov Random Field

2014 Conference Paper

Active learning based segmentation of Crohn's disease using principles of visual saliency

Dwarikanath Mahapatra, Peter J. Schüffler, Jeroen A. W. Tielbeek, Jesica C. Makanyanga, Jaap Stoker, Stuart A. Taylor, Franciscus M. Vos, Joachim M. Buhmann,

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI),

Research Collection

2013 Conference Paper

Weakly supervised semantic segmentation of Crohn's disease tissues from abdominal MRI

Dwarikanath Mahapatra, Alexander Vezhnevets, Peter J. Schüffler, Jeroen A.W. Tielbeek, Franciscus M. Vos, Joachim M. Buhmann,

IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013),

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Conference Paper - page 5

Sparse feature selection by information theory

Semi-automatic Crohn’s Disease Severity Estimation on MR Imaging

How informative are Minimum Spanning Tree algorithms?

Free Energy Rates for a Class of Very Noisy Optimization Problems

Fast and Robust Least Squares Estimation in Corrupted Linear Models

Correlated random features for fast semi-supervised learning

Convolutional Decision Trees for Feature Learning and Segmentation

Combining Multiple Expert Annotations Using Semi-Supervised Learning And Graph Cuts For Crohn’s Disease Segmentation

Active learning based segmentation of Crohn's disease using principles of visual saliency

Weakly supervised semantic segmentation of Crohn's disease tissues from abdominal MRI