• Ørsteds Plads, 349, 124

    2800 Kgs. Lyngby

    Denmark

20062020

Research output per year

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Research Output

2020

Accurate and robust whole-head segmentation from magnetic resonance images for individualized head modeling

Puonti, O., Van Leemput, K., Saturnino, G. B., Siebner, H. R., Madsen, K. H. & Thielscher, A., 2020, In : NeuroImage. 219, 17 p., 117044.

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File
46 Downloads (Pure)

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

A modality-adaptive method for segmenting brain tumors and organs-at-risk in radiation therapy planning

Agn, M., Munck af Rosenschöld, P., Puonti, O., Lundemann, M. J., Mancini, L., Papadaki, A., Thust, S., Ashburner, J., Law, I. & Van Leemput, K., 1 May 2019, In : Medical Image Analysis. 54, p. 220-237

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File
298 Downloads (Pure)

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

Joint Inference on Structural and Diffusion MRI for Sequence-Adaptive Bayesian Segmentation of Thalamic Nuclei with Probabilistic Atlases

Iglesias, J. E., Van Leemput, K., Golland, P. & Yendiki, A., 2019, Information Processing in Medical Imaging: 26th International Conference, IPMI 2019, Hong Kong, China, June 2–7, 2019, Proceedings. Springer, Vol. 11492. p. 767-779 (Lecture Notes in Computer Science, Vol. 11492).

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

MR-based CT metal artifact reduction for head-and-neck photon, electron, and proton radiotherapy

Nielsen, J. S., Van Leemput, K. & Edmund, J. M., 2019, In : Medical Physics. 46, 10, p. 4314-4323

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File
99 Downloads (Pure)

MR-based CT metal artifact reduction using Bayesian modelling

Nielsen, J. S., Edmund, J. M. & Van Leemput, K., 2019, In : Physics in Medicine and Biology. 64, 20 p., 245012.

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File
67 Downloads (Pure)

Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference

Lipkova, J., Angelikopoulos, P., Wu, S., Alberts, E., Wiestler, B., Diehl, C., Preibisch, C., Pyka, T., Combs, S. E., Hadjidoukas, P., Van Leemput, K., Koumoutsakos, P., Lowengrub, J. & Menze, B., Aug 2019, In : IEEE Transactions on Medical Imaging. 38, 8, p. 1875-1884 8654016.

Research output: Contribution to journalJournal articleResearchpeer-review

PSACNN: Pulse sequence adaptive fast whole brain segmentation

Jog, A., Hoopes, A., Greve, D. N., Van Leemput, K. & Fischl, B., 2019, In : NeuroImage. 199, p. 553-569

Research output: Contribution to journalJournal articleResearchpeer-review

File
7 Downloads (Pure)

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

A probabilistic atlas of the human thalamic nuclei combining ex vivo MRI and histology

Iglesias, J. E., Insausti, R., Lerma-Usabiaga, G., Bocchetta, M., Van Leemput, K., Greve, D. N., van der Kouwe, A., Fischl, B., Caballero-Gaudes, C. & Paz-Alonso, P. M., 2018, In : NeuroImage. 183, p. 314–326

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File
147 Downloads (Pure)

Characterization of highly multiplexed monolithic PET / gamma camera detector modules: Paper

Pierce, L. A., Pedemonte, S., Dewitt, S., Macdonald, L., Hunter, W. C. J., Leemput, V. & Miyaoka, R., 2018, In : Physics in Medicine and Biology. 63, 7, 16 p., 075017.

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File
81 Downloads (Pure)

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)

Impact on proton range estimates using a novel mr-based artifact reduction algorithm

Nielsen, J. S., Van Leemput, K. & Edmund, J. M., 2018, In : Physica Medica. 52, p. 179-180

Research output: Contribution to journalConference abstract in journalResearchpeer-review

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)

Systematic comparison of different techniques to measure hippocampal subfield volumes in ADNI2

Mueller, S. G., Yushkevich, P. A., Das, S., Wang, L., Van Leemput, K., Iglesias, J. E., Alpert, K., Mezher, A., Ng, P., Paz, K. & Weiner, M. W., 2018, In : NeuroImage: Clinical. 17, p. 1006-1018

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File
278 Downloads (Pure)
2017

A machine learning method for fast and accurate characterization of depth-of-interaction gamma cameras: Paper

Pedemonte, S., Pierce, L. & Van Leemput, K., 2017, In : Physics in Medicine and Biology. 62, 21, p. 8376-8401 26 p.

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File
172 Downloads (Pure)

High-resolution magnetic resonance imaging reveals nuclei of the human amygdala: manual segmentation to automatic atlas

Saygin, Z. M., Kliemann, D., Iglesias, J. E., van der Kouwe, A. J. W., Boyd, E., Reuter, M., Stevens, A. A., Van Leemput, K., McKee, S. A., Frosch, M. P., Fischl, B. & Augustinack, J. C., 2017, In : NeuroImage. 155, p. 370-382 13 p.

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File
275 Downloads (Pure)

PET/MRI in the presence of metal implants: Completion of the attenuation map from PET emission data

Fuin, N., Pedemonte, S., Catalano, O. A., Izquierdo-Garcia, D., Soricelli, A., Salvatore, M., Heberlein, K., Hooker, J. M., Van Leemput, K. & Catana, C., 1 May 2017, In : Journal of Nuclear Medicine. 58, 5, p. 840-845 6 p.

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File
187 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)

A Generative Probabilistic Model and Discriminative Extensions for Brain Lesion Segmentation - With Application to Tumor and Stroke

Menze, B. H., Van Leemput, K., Lashkari, D., Riklin-Raviv, T., Geremia, E., Alberts, E., Gruber, P., Wegener, S., Weber, M-A., Székely, G., Ayache, N. & Golland, P., 2016, In : I E E E Transactions on Medical Imaging. 35, 4, p. 933-946

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File
392 Downloads (Pure)

A patch-based pseudo-CT approach for MRI-only radiotherapy in the pelvis

Andreasen, D., Van Leemput, K. & Edmund, J. M., 2016, In : Medical Physics. 43, 8, p. 4742-4752 11 p.

Research output: Contribution to journalJournal articleResearchpeer-review

Bayesian longitudinal segmentation of hippocampal substructures in brain MRI using subject-specific atlases

Iglesias, J. E., Van Leemput, K., Augustinack, J., Insausti, R., Fischl, B. & Reuter, M., 2016, In : NeuroImage. 141, p. 542-555

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File
237 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)

Fast and Sequence-Adaptive Whole-Brain Segmentation Using Parametric Bayesian Modeling

Puonti, O., Iglesias, J. E. & Van Leemput, K., 2016, In : NeuroImage. 143, p. 235–249 20 p.

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File
373 Downloads (Pure)

Regional Hippocampal Atrophy and Higher Levels of Plasma Amyloid-Beta Are Associated With Subjective Memory Complaints in Nondemented Elderly Subjects

Cantero, J. L., Iglesias, J. E., Van Leemput, K. & Atienza, M., 2016, In : Journals of Gerontology. Series A: Biological Sciences & Medical Sciences. 71, 9, p. 1210-1215

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access

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

2015

4-D PET-MR with Volumetric Navigators and Compressed Sensing

Pedemonte, S., Catana, C. & Van Leemput, K., 2015, Computational Methods for Molecular Imaging. Gao, F., Shi, K. & Li, S. (eds.). Springer, p. 93-101 (Lecture Notes in Computational Vision and Biomechanics; No. 22).

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Open Access
File
231 Downloads (Pure)

A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI.

Iglesias, J. E., Augustinack, J. C., Nguyen, K., Player, C. M., Player, A., Wright, M., Roy, N., Frosch, M. P., McKee, A. C., Wald, L. L., Fischl, B. & Van Leemput, K., 2015, In : NeuroImage. 115, p. 117-137

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File
271 Downloads (Pure)

An algorithm for optimal fusion of atlases with different labeling protocols

Eugenio Iglesias, J., Sabuncu, M. R., Aganj, I., Bhatt, P., Casillas, C., Salat, D., Boxer, A., Fischl, B. & Van Leemput, K., 2015, In : NeuroImage. 106, p. 451-463 13 p.

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File
242 Downloads (Pure)

Bayesian segmentation of brainstem structures in MRI

Iglesias, J. E., Van Leemput, K., Bhatt, P., Casillas, C., Dutt, S., Schuff, N., Truran-Sacrey, D., Boxer, A. & Fischl, B., 2015, In : NeuroImage. 113, p. 184-195

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File
319 Downloads (Pure)

Cone beam computed tomography guided treatment delivery and planning verification for magnetic resonance imaging only radiotherapy of the brain

Edmund, J. M., Andreasen, D., Mahmood, F. & Van Leemput, K., 2015, In : Acta Oncologica. 54, 9, p. 1496-1500

Research output: Contribution to journalJournal articleResearchpeer-review

Patch-based generation of a pseudo CT from conventional MRI sequences for MRI-only radiotherapy of the brain

Andreasen, D., Van Leemput, K., Hansen, R. H., Andersen, J. A. L. & Edmund, J. M., 2015, In : Medical Physics. 42, 4, p. 1596-1605

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File
750 Downloads (Pure)

Quantitative Comparison of 21 Protocols for Labeling Hippocampal Subfields and Parahippocampal Cortical Subregions in In Vivo MRI: Towards Developing a Harmonized Segmentation Protocol.

Yushkevich, P. A., Amaral, R. S. C., Augustinack, J. C., Bender, A. R., Bernstein, J. D., Boccardi, M., Bocchetta, M., Burggren, A. C., Carr, V. A., Chakravarty, M. M. & Van Leemput, K., 2015, In : NeuroImage. 111, p. 526-541

Research output: Contribution to journalJournal articleResearchpeer-review

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

Menze, B. H., Jakab, A., Bauer, S., Kalpathy-Cramer, J., Farahani, K., Kirby, J., Burren, Y., Porz, N., Slotboom, J., Wiest, R. & Van Leemput, K., 2015, In : I E E E Transactions on Medical Imaging. 34, 10, p. 1993 - 2024 33 p.

Research output: Contribution to journalJournal articleResearchpeer-review

File
3082 Downloads (Pure)

Tissue Classification

Van Leemput, K. & Puonti, O., 2015, Brain Mapping: An Encyclopedic Reference: Volume 1: Acquisition Methods, Methods and Modeling. Elsevier, Vol. 1. p. 373-381

Research output: Chapter in Book/Report/Conference proceedingEncyclopedia chapterResearchpeer-review

1 Downloads (Pure)
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

A voxel-based investigation for MRI-only radiotherapy of the brain using ultra short echo times

Edmund, J. M., Kjer, H. M., Van Leemput, K., Hansen, R. H., Andersen, J. A. & Andreasen, D., 2014, In : Physics in Medicine and Biology. 59, 23, p. 7501-7519

Research output: Contribution to journalJournal articleResearchpeer-review

1 Downloads (Pure)

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

A unified framework for cross-modality multi-atlas segmentation of brain MRI

Eugenio Iglesias, J., Rory Sabuncu, M. & Van Leemput, K., 2013, In : Medical Image Analysis. 17, 8, p. 1181-1191

Research output: Contribution to journalJournal articleResearchpeer-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

Improved inference in Bayesian segmentation using Monte Carlo sampling: Application to hippocampal subfield volumetry

Iglesias, J. E., Sabuncu, M. R. & Van Leemput, K., 2013, In : Medical Image Analysis. 17, 7, p. 766-778

Research output: Contribution to journalJournal articleResearchpeer-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