Research output per year
Research output per year
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Dive into the research topics where Koen Van Leemput is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Research output
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3D Reconstruction and Segmentation of Dissection Photographs for MRI-Free Neuropathology
Tregidgo, H. F. J., Casamitjana, A., Latimer, C. S., Kilgore, M. D., Robinson, E., Blackburn, E., Van Leemput, K., Fischl, B., Dalca, A. V., Donald, C. L. M., Keene, C. D. & Iglesias, J. E., 2020, Medical Image Computing and Computer Assisted Intervention — MICCAI 2020: 23rd International Conference Lima, Peru, October 4–8, 2020 Proceedings, Part V. Springer, Vol. 12265. p. 204-214 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12265).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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 journal › Journal article › Research › peer-review
Open AccessFile -
A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis
Cerri, S., Puonti, O., Meier, D. S., Wuerfel, J., Mühlau, M., Siebner, H. R. & Van Leemput, K., 2020, In: NeuroImage. 225, 17 p., 117471.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile -
A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis
Cerri, S., Hoopes, A., Greve, D. N., Mühlau, M. & Van Leemput, K., 2020, Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology: Third International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020, Proceedings. Springer, Vol. 12449. p. 119-128 (Lecture Notes in Computer Science, Vol. 12449).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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 proceeding › Article in proceedings › Research › peer-review
Open AccessFile
Projects
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Dual energy CT and PET/CT image registration for visualization of hypoxia
Frøsig, J., Van Leemput, K. & Edmund, J. M.
01/03/2021 → 29/02/2024
Project: PhD
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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
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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
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Computational Imaging Biomarkers of Multiple Sclerosis
Mauri, C., Van Leemput, K. & Mühlau, M.
01/07/2019 → 30/06/2022
Project: PhD
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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