Koenraad Van Leemput

Jean Augustinack, Kristen Huber, Allison Stevens, Michelle Roy, Matthew P. Frosch, André J. W. van der Kouwe, Lawrence L. Wald, Koen Van Leemput, Ann C. McKee, Bruce Fischl: Predicting the location of human perirhinal cortex, Brodmann's area 35, from MRI. NeuroImage 64: 32-42 (2013)

Mert R. Sabuncu, Koen Van Leemput: The Relevance Voxel Machine (RVoxM): A Self-Tuning Bayesian Model for Informative Image-Based Prediction. IEEE Trans. Med. Imaging 31(12): 2290-2306 (2012)

Juan Eugenio Iglesias, Mert R. Sabuncu, Koen Van Leemput: A generative model for multi-atlas segmentation across modalities. ISBI 2012: 888-891

Juan Eugenio Iglesias, Mert R. Sabuncu, Koen Van Leemput: Incorporating Parameter Uncertainty in Bayesian Segmentation Models: Application to Hippocampal Subfield Volumetry. MICCAI (3) 2012: 50-57

Juan Eugenio Iglesias, Mert R. Sabuncu, Koen Van Leemput: A Generative Model for Probabilistic Label Fusion of Multimodal Data. MBIA 2012: 115-133

Bjoern H. Menze, Koen Van Leemput, Antti Honkela, Ender Konukoglu, Marc-André Weber, Nicholas Ayache, Polina Golland: A Generative Approach for Image-Based Modeling of Tumor Growth. IPMI 2011: 735-747

Mert R. Sabuncu, Koen Van Leemput: The Relevance Voxel Machine (RVoxM): A Bayesian Method for Image-Based Prediction. MICCAI (3) 2011: 99-106

Kris Laukens, Jens Hollunder, Thanh Hai Dang, Geert De Jaeger, Martin Kuiper, Erwin Witters, Alain Verschoren, Koenraad Van Leemput: Flexible network reconstruction from relational databases with Cytoscape and CytoSQL. BMC Bioinformatics 11: 360 (2010)

Tammy Riklin-Raviv, Koen Van Leemput, Bjoern H. Menze, William M. Wells III, Polina Golland: Segmentation of image ensembles via latent atlases. Medical Image Analysis 14(5): 654-665 (2010)

Mert R. Sabuncu, B. T. Thomas Yeo, Koenraad Van Leemput, Bruce Fischl, Polina Golland: A Generative Model for Image Segmentation Based on Label Fusion. IEEE Trans. Med. Imaging 29(10): 1714-1729 (2010)

Bjoern H. Menze, Koenraad Van Leemput, Danial Lashkari, Marc-André Weber, Nicholas Ayache, Polina Golland: A Generative Model for Brain Tumor Segmentation in Multi-Modal Images. MICCAI (2) 2010: 151-159

Bruce Fischl, Allison Stevens, Niranjini Rajendran, B. T. Thomas Yeo, Douglas N. Greve, Koen Van Leemput, Jonathan R. Polimeni, Sita Kakunoori, Randy L. Buckner, Jennifer L. Pacheco, David H. Salat, Jennifer Melcher, Matthew P. Frosch, Bradley T. Hyman, P. Ellen Grant, Bruce R. Rosen, André J. W. van der Kouwe, Graham Wiggins, Lawrence L. Wald, Jean Augustinack: Predicting the location of entorhinal cortex from MRI. NeuroImage 47(1): 8-17 (2009)

Koen Van Leemput: Encoding Probabilistic Brain Atlases Using Bayesian Inference. IEEE Trans. Med. Imaging 28(6): 822-837 (2009)

Tammy Riklin Raviv, Koen Van Leemput, William M. Wells III, Polina Golland: Joint Segmentation of Image Ensembles via Latent Atlases. MICCAI (1) 2009: 272-280

Mert R. Sabuncu, B. T. Thomas Yeo, Koen Van Leemput, Tom Vercauteren, Polina Golland: Asymmetric Image-Template Registration. MICCAI (1) 2009: 565-573

Mert R. Sabuncu, B. T. Thomas Yeo, Koen Van Leemput, Bruce Fischl, Polina Golland: Supervised Nonparametric Image Parcellation. MICCAI (1) 2009: 1075-1083

Koenraad Van Leemput, Tim Van den Bulcke, Thomas Dhollander, Bart De Moor, Kathleen Marchal, Piet van Remortel: Exploring the Operational Characteristics of Inference Algorithms for Transcriptional Networks by Means of Synthetic Data. Artificial Life 14(1): 49-63 (2008)

Thanh Hai Dang, Koenraad Van Leemput, Alain Verschoren, Kris Laukens: Prediction of kinase-specific phosphorylation sites using conditional random fields. Bioinformatics 24(24): 2857-2864 (2008)

Koen Van Leemput, Akram Bakkour, Thomas Benner, Graham Wiggins, Lawrence L. Wald, Jean Augustinack, Bradford C. Dickerson, Polina Golland, Bruce Fischl: Model-Based Segmentation of Hippocampal Subfields in Ultra-High Resolution In Vivo MRI. MICCAI (1) 2008: 235-243

Adrian Kuhn, Bart Van Rompaey, Lea Haensenberger, Oscar Nierstrasz, Serge Demeyer, Markus Gälli, Koenraad Van Leemput: JExample: Exploiting Dependencies between Tests to Improve Defect Localization. XP 2008: 73-82

Tom Michoel, Steven Maere, Eric Bonnet, Anagha Joshi, Yvan Saeys, Tim Van den Bulcke, Koenraad Van Leemput, Piet van Remortel, Martin Kuiper, Kathleen Marchal, Yves Van de Peer: Validating module network learning algorithms using simulated data. BMC Bioinformatics 8(S-2) (2007)

Tim Van den Bulcke, Koen Van Leemput, Bart Naudts, Piet van Remortel, Hongwu Ma, Alain Verschoren, Bart De Moor, Kathleen Marchal: SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms. BMC Bioinformatics 7: 43 (2006)

Koen Van Leemput: Probabilistic Brain Atlas Encoding Using Bayesian Inference. MICCAI (1) 2006: 704-711

Michal J. Okoniewski, Koen Van Leemput, Piotr Gawrysiak: Incorporation of quantitative knowledge into genetic information systems. Intelligent Information Systems 2004: 557-564

Koen Van Leemput, Janne Hämäläinen: A Cross-Platform Software Framework for Medical Image Processing. MICCAI (2) 2004: 1091-1092

Koen Van Leemput, Frederik Maes, Dirk Vandermeulen, Paul Suetens: A Unifying Framework for Partial Volume Segmentation of Brain MR Images. IEEE Trans. Med. Imaging 22(1): 105-119 (2003)

Nathan Moon, Elizabeth Bullitt, Koen Van Leemput, Guido Gerig: Model-Based Brain and Tumor Segmentation. ICPR (1) 2002: 528-531

Nathan Moon, Elizabeth Bullitt, Koen Van Leemput, Guido Gerig: Automatic Brain and Tumor Segmentation. MICCAI (1) 2002: 372-379

Koen Van Leemput, Frederik Maes, Dirk Vandermeulen, Alan C. F. Colchester, Paul Suetens: Automated Segmentation of Multiple Sclerosis Lesions by Model Outlier Detection. IEEE Trans. Med. Imaging 20(8): 677-688 (2001)

Koen Van Leemput, Frederik Maes, Dirk Vandermeulen, Paul Suetens: A Statistical Framework for Partial Volume Segmentation. MICCAI 2001: 204-212

Siddharth Srivastava, Koen Van Leemput, Frederik Maes, Dirk Vandermeulen, Paul Suetens: Validation of Nonlinear Spatial Filtering to Improve Tissue Segmentation of MR Brain Images. MICCAI 2001: 507-515

Koen Van Leemput, Frederik Maes, Dirk Vandermeulen, Paul Suetens: Automated model-based bias field correction of MR images of the brain. IEEE Trans. Med. Imaging 18(10): 885-896 (1999)

Koen Van Leemput, Frederik Maes, Dirk Vandermeulen, Paul Suetens: Automated Model-Based Tissue Classification of MR Images of the Brain. IEEE Trans. Med. Imaging 18(10): 897-908 (1999)

Koen Van Leemput, Frederik Maes, Fernando Bello, Dirk Vandermeulen, Alan C. F. Colchester, Paul Suetens: Automated Segmentation of MS Lesions from Multi-channel MR Images. MICCAI 1999: 11-21

Frederik Maes, Koen Van Leemput, Lynn E. DeLisi, Dirk Vandermeulen, Paul Suetens: Quantification of Cerebral Grey and White Matter Asymmetry from MRI. MICCAI 1999: 348-357

Koen Van Leemput, Frederik Maes, Dirk Vandermeulen, Paul Suetens: Automatic Segmentation of Brain Tissues and MR Bias Field Correction Using a Cigital Brain Atlas. MICCAI 1998: 1222-1229