Research Output per year
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output
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. 220-237Research output: Contribution to journal › Journal article › Research › peer-review
Open Access
File
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 proceeding › Article in proceedings › Research › peer-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 proceeding › Book chapter › Research › peer-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. 4314-4323Research output: Contribution to journal › Journal article › Research › peer-review
Open Access
File
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 journal › Journal article › Research › peer-review
Open Access
File
Projects
Impact of multi-center/multi-scanner follow-up on the evaluation of the progression of atrophy and lesions in multiple sclerosis
Ferraz Meyer, M. I., Van Leemput, K. & Sima, D. M.
01/09/2019 → 31/07/2021
Project: PhD
Impact of multi-center/multi-scanner follow-up on the evaluation of the progression of atrophy and lesions in multiple sclerosis
Ferraz Meyer, M. I., Van Leemput, K. & Sima, D. M.
01/09/2019 → 31/07/2021
Project: PhD
Computational Imaging Biomarkers of Multiple Sclerosis
Mauri, C., Van Leemput, K. & Mühlau, M.
01/07/2019 → 30/06/2022
Project: PhD
Prediction of tumor grade and tumor recurrence from multimodal imaging data
Pálsson, S., Law, I. & Van Leemput, K.
01/10/2018 → 30/09/2021
Project: PhD
Computational Imaging Biomarkers of Multiple Sclerosis
Cerri, S., Van Leemput, K., Ribbens, A., Siebner, H. R. & Siebner, H. R.
Marie Skłodowska-Curie actions
01/04/2018 → 31/03/2021
Project: PhD