• Ørsteds Plads, 349, 124

    2800 Kgs. Lyngby

    Denmark

20062020

Research output per year

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Research Output

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Article in proceedings
2020

Semi-supervised variational autoencoder for survival prediction

Pálsson, S., Cerri, S., Dittadi, A. & Leemput, K. V., 1 Jan 2020, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. Crimi, A. & Bakas, S. (eds.). Springer, p. 124-134 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11993 LNCS).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Open Access
File
12 Downloads (Pure)
2019

Fast Nonparametric Mutual-Information-based Registration and Uncertainty Estimation

Agn, M. & Leemput, K., 2019, Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures. CLIP 2019, UNSURE 2019. Springer, p. 42-51 (Lecture Notes in Computer Science, Vol. 11840).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Relevance Vector Machines for Harmonization of MRI Brain Volumes Using Image Descriptors

Meyer, M. I., Rosa, E., Leemput, K. & Sima, D., 2019, OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging: Proceedings of Second International Workshop, OR 2.0 2019, and Second International Workshop, MLCN 2019. Springer, p. 77-85 (Lecture Notes in Computer Science, Vol. 11796).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

2018

An Automatically Generated Texture-based Atlas of the Lungs

Cid, Y. D., Puonti, O., Platon, A., Van Leemput, K., Mueller, H. & Poletti, P-A., 2018, Medical Imaging 2018: Computer-Aided Diagnosis. SPIE - International Society for Optical Engineering, Vol. 10575. 8 p. 105753A

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

CT metal artifact reduction using MR image patches

Nielsen, J. S., Edmund, J. M. & Van Leemput, K., 2018, Proceedings of SPIE. SPIE - International Society for Optical Engineering, Vol. 10573. 10 p. 105730P . (Proceedings of SPIE, the International Society for Optical Engineering).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Open Access
File
379 Downloads (Pure)

Skull segmentation from MR scans using a higher-order shape model based on convolutional restricted Boltzmann machines

Puonti, O., Van Leemput, K., Nielsen, J. D., Bauer, C., Siebner, H. R., Madsen, K. H. & Thielscher, A., 2018, Medical Imaging 2018: Image Processing. E. D. A. & B. A. L. (eds.). SPIE - International Society for Optical Engineering, Vol. 10574. 8 p. (Proceedings of SPIE, the International Society for Optical Engineering).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Open Access
File
78 Downloads (Pure)
2016

A generative model for segmentation of tumor and organs-at-risk for radiation therapy planning of glioblastoma patients

Agn, M., Law, I., Munck Af Rosenschöld, P. & Van Leemput, K., 2016, SPIE Medical Imaging 2016: Image Processing. SPIE - International Society for Optical Engineering, Vol. 9784. 9 p. 97841D. (Proceedings of SPIE, the International Society for Optical Engineering, Vol. 9784).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Open Access
File
303 Downloads (Pure)

Brain Tumor Segmentation Using a Generative Model with an RBM Prior on Tumor Shape

Agn, M., Puonti, O., Rosenschöld, P. M. A., Law, I. & Van Leemput, K., 2016, 1st International Workshop on Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries (Brainles 2015): Revised Selected Papers. Springer, p. 168-180 (Lecture Notes in Computer Science, Vol. 9556).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Computed tomography synthesis from magnetic resonance images in the pelvis using multiple random forests and auto-context features

Andreasen, D., Morgenthaler Edmund, J., Zografos, V., Menze, B. H. & Van Leemput, K., 2016, Proceedings of SPIE. Styner, M. A. & Angelini, E. D. (eds.). SPIE - International Society for Optical Engineering, Vol. 9784. 8 p. 978417

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Open Access
File
475 Downloads (Pure)

Simultaneous Whole-Brain Segmentation and White Matter Lesion Detection Using Contrast-Adaptive Probabilistic Models

Puonti, O. & Van Leemput, K., 2016, 1st International Workshop on Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries (Brainles 2015): Revised Selected Papers. Springer, p. 9-20 (Lecture Notes in Computer Science, Vol. 9556).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

2014

A Cautionary Analysis of STAPLE Using Direct Inference of Segmentation Truth

Van Leemput, K. & Sabuncu, M. R., 2014, Proceedings of the 17th International Conference Medical Image Computing and Computer-Assisted Intervention (MICCAI 2014): Part I. Springer, p. 398-406 (Lecture Notes in Computer Science, Vol. 8673).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

An Inference Language for Imaging

Pedemonte, S., Catana, C. & Van Leemput, K., 2014, Revised Selected Papers of the 1st International Workshop on Bayesian and grAphical Models for Biomedical Imaging (BAMBI 2014). Springer, p. 61-72 (Lecture Notes in Computer Science, Vol. 8677).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Improved resolution and reliability in dynamic PET using Bayesian regularization of MRTM2

Agn, M., Svarer, C., Frokjaer, V. G., Greve, D. N., Knudsen, G. M. & Van Leemput, K., 2014, Proceedings of the 11th IEEE International Symposium on Biomedical Imaging (ISBI 2014 ). IEEE, p. 955-658

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

N3 Bias Field Correction Explained as a Bayesian Modeling Method

Larsen, C. T., Iglesias, J. E. & Van Leemput, K., 2014, Bayesian and Graphical Models for Biomedical Imaging: Revised Selected Papers of the first International Workshop on Bayesian and Grahical Models for Biomedical Imaging, BAMBI 2014. Springer, p. 1-12 (Lecture Notes in Computer Science; No. 8677).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

2013

An Improved Optimization Method for the Relevance Voxel Machine

Ganz, M., Sabuncu, M. R. & Van Leemput, K., 2013, Machine Learning in Medical Imaging: 4th International Workshop, MLMI 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013. Proceedings. Springer, p. 147-154 (Lecture Notes in Computer Science, Vol. 8184).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

A Probabilistic, Non-parametric Framework for Inter-modality Label Fusion

Iglesias, J. E., Sabuncu, M. R. & Van Leemput, K., 2013, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013: 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part III. Springer, p. 576-583 (Lecture Notes in Computer Science, Vol. 8151).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Fast, Sequence Adaptive Parcellation of Brain MR Using Parametric Models

Puonti, O., Iglesias, J. E. & Van Leemput, K., 2013, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013: 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part I. Springer, p. 727-734 (Lecture Notes in Computer Science, Vol. 8149).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Is Synthesizing MRI Contrast Useful for Inter-modality Analysis?

Iglesias, J. E., Konukoglu, E., Zikic, D., Glocker, B., Van Leemput, K. & Fischl, B., 2013, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013: 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part I. Springer, p. 631-638 (Lecture Notes in Computer Science, Vol. 8149).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

On Feature Relevance in Image-Based Prediction Models: An Empirical Study

Konukoglu, E., Ganz, M., Van Leemput, K. & Sabuncu, M. R., 2013, Machine Learning in Medical Imaging: 4th International Workshop, MLMI 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013. Proceedings. Springer, p. 171-178 (Lecture Notes in Computer Science, Vol. 8184).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

2012

A generative model for multi-atlas segmentation across modalities

Iglesias, J. E., Sabuncu, M. R. & Van Leemput, K., 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI). IEEE, p. 888-891 (International Symposium on Biomedical Imaging. Proceedings).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

A generative model for probabilistic label fusion of multimodal data

Iglesias, J. E., Sabuncu, M. R. & Van Leemput, K., 2012, Multimodal Brain Image Analysis: Second International Workshop, MBIA 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1-5, 2012. Proceedings. Springer, p. 115–133 (Lecture Notes in Computer Science, Vol. 7509).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Incorporating Parameter Uncertainty in Bayesian Segmentation Models: Application to Hippocampal Subfield Volumetry

Iglesias, J. E., Sabuncu, M. R. & Van Leemput, K., 2012, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012: 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part III. Springer, p. 50-57 (Lecture Notes in Computer Science, Vol. 7512).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

2011

A Generative Approach for Image-Based Modeling of Tumor Growth

Menze, B. H., Van Leemput, K., Honkela, A., Konukoglu, E., Weber, M-A., Ayache, N. & Golland, P., 2011, Information Processing in Medical Imaging: 22nd International Conference, IPMI 2011 Kloster Irsee, Germany, July 3-8, 2011 Proceedings. Springer, p. 735-747 (Lecture Notes in Computer Science; No. 6801).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

1 Downloads (Pure)

The Relevance Voxel Machine (RVoxM): A Bayesian Method for Image-Based Prediction

Sabuncu, M. R. & Van Leemput, K., 2011, Medical Image Computing and Computer-Assisted Intervention –MICCAI2011: 14th International Conference Toronto, Canada, September 18-22, 2011 Proceedings. Springer, Vol. 3. p. 99-106 (Lecture Notes in Computer Science; No. 6893).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

2010

A generative model for brain tumor segmentation in multi-modal images

Menze, B. H., Van Leemput, K., Lashkari, D., Weber, M-A., Ayache, N. & Golland, P., 2010, Medical Image Computing and Computer-Assisted Intervention. Springer-verlag Berlin, Vol. 6362. p. 151-159 7 p. (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

2009

Asymmetric image-template registration

Sabuncu, M. R., Yeo, B. T. T., Van Leemput, K., Vercauteren, T. & Golland, P., 2009, Medical Image Computing and Computer-Assisted Intervention. Springer-verlag Berlin, Vol. 5761. p. 565-573 (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Joint segmentation of image ensembles via latent atlases

Riklin Raviv, T., Van Leemput, K., Wells III, W. M. & Golland, P., 2009, Medical Image Computing and Computer-Assisted Intervention. Springer-verlag Berlin, Vol. 5761. p. 272-280 9 p. (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Nonparametric mixture models for supervised image parcellation

Sabuncu, M. R., Yeo, B. T. T., Van Leemput, K., Fischl, B. & Golland, P., 2009, Proceedings of the Medical Image Computing and Computer Assisted Intervention (MICCAI) workshop on Probabilistic Models for Medical Image Analysis (PMMIA). Medical Image Computing and Computer Assisted Intervention, p. 301–313

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Open Access
File
754 Downloads (Pure)

Supervised nonparametric image parcellation

Sabuncu, M. R., Yeo, B. T. T., Van Leemput, K., Fischl, B. & Golland, P., 2009, Medical Image Computing and Computer-Assisted Intervention. Springer-verlag Berlin, Vol. 5762. p. 1075-1083 9 p. (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

2008

Model-based segmentation of hippocampal subfields in ultra-high resolution in vivo MRI

Van Leemput, K., Bakkour, A., Benner, T., Wiggins, G., Wald, L. L., Augustinack, J., Dickerson, B. C., Golland, P. & Fischl, B., 2008, Medical Image Computing and Computer-Assisted Intervention. Springer-verlag Berlin, Vol. 5241. p. 235-243 9 p. (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review