KL
Koen van Leemput
cs.CVeess.IVAlgorithmscs.LGMagnetic Resonance ImagingSubtraction TechniqueSegmentationArtificial IntelligencesegmentationBrain
On Valency
published · living versionsW_ctyr365s·v1 · currentpublished
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
with Spyridon Bakas, Mauricio Reyes, Andras Jakab, Stefan Bauer +422
1 version
Preprints & journals
105 papers in the corpus · 1999–2026BINDER: A Latent Variable Model for Probabilistic Medical Image Registration2609.19875v1 · Stefano Cerri, Amirhossein Hassankhani, Yael Balbastre et al.2026 · 0 citationsarXiv
A Contrast-Agnostic Method for Ultra-High Resolution Claustrum Segmentation.40838426 · Mauri, Chiara, Fritz, Ryan, Mora, Jocelyn et al.2025 · 6 citationsHuman brain mapping. 2025;46(12):e70303
RECLAIM-A retrospective, multicenter observational study aimed at enabling the development of artificial intelligence-driven prognostic models for disease progression in multiple sclerosis.40452771 · Praet, Jelle, Anderhalten, Lina, Comi, Giancarlo et al.2025 · 1 citationFrontiers in neurology. 2025;16:1557947
Analysis of the MICCAI Brain Tumor Segmentation -- Metastases (BraTS-METS) 2025 Lighthouse Challenge: Brain Metastasis Segmentation on Pre- and Post-treatment MRI2504.12527v3 · Nazanin Maleki, Raisa Amiruddin, Ahmed W. Moawad et al.2025 · 1 citationarXiv
Hierarchical uncertainty estimation for learning-based registration in neuroimaging.41769306 · Hu, Xiaoling, Gopinath, Karthik, Liu, Peirong et al.2026 · 0 citations... International Conference on Learning Representations. 2025;2025:91200-91216
A lightweight generative model for interpretable subject-level prediction.39793217 · Mauri, Chiara, Cerri, Stefano, Puonti, Oula et al.2025 · 1 citationMedical image analysis. 2025;101:103436
The Brain Tumor Segmentation - Metastases (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI.37396600 · Moawad, Ahmed W, Janas, Anastasia, Baid, Ujjwal et al.2025 · 4 citationsArXiv. 2024
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn).37608932 · Li, Hongwei Bran, Conte, Gian Marco, Hu, Qingqiao et al.2026 · 21 citationsArXiv. 2024
Synthetic data in generalizable, learning-based neuroimaging.39850547 · Gopinath, Karthik, Hoopes, Andrew, Alexander, Daniel C et al.2026 · 29 citationsImaging neuroscience (Cambridge, Mass.). 2024;2:1-22
A future of AI-driven personalized care for people with multiple sclerosis.39224590 · Praet, Jelle, Anderhalten, Lina, Comi, Giancarlo et al.2024 · 26 citationsFrontiers in immunology. 2024;15:1446748
BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 20232407.08855v3 · Anahita Fathi Kazerooni, Nastaran Khalili, Xinyang Liu et al.2024 · 20 citationsMachine.Learning.for.Biomedical.Imaging. 3 (2025)
The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs).37292481 · Kazerooni, Anahita Fathi, Khalili, Nastaran, Liu, Xinyang et al.2026 · 61 citationsArXiv. 2024
Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge2405.09787v2 · Dominic LaBella, Ujjwal Baid, Omaditya Khanna et al.2024 · 11 citationsMachine.Learning.for.Biomedical.Imaging. 3 (2025)
The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)2404.15009v4 · Anahita Fathi Kazerooni, Nastaran Khalili, Xinyang Liu et al.2024 · 11 citationsarXiv
Intensity scaling of conventional brain magnetic resonance images avoiding cerebral reference regions: A systematic review.38483873 · Wiltgen, Tun, Voon, Cuici, Van Leemput, Koen et al.2024 · 6 citationsPloS one. 2024;19(3):e0298642
Machine learning of dissection photographs and surface scanning for quantitative 3D neuropathology.37333251 · Gazula, Harshvardhan, Tregidgo, Henry F J, Billot, Benjamin et al.2024 · 12 citationsbioRxiv : the preprint server for biology. 2024
Assessing individual variability of the entorhinal subfields in health and disease.37700618 · Oltmer, Jan, Greve, Douglas N, Cerri, Stefano et al.2024 · 7 citationsThe Journal of comparative neurology. 2023;531(18):2062-2079
The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI2306.00838v3 · Ahmed W. Moawad, Anastasia Janas, Ujjwal Baid et al.2023 · 40 citationsarXiv
The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa)2305.19369v1 · Maruf Adewole, Jeffrey D. Rudie, Anu Gbadamosi et al.2023 · 41 citationsarXiv
The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa).37396608 · Adewole, Maruf, Rudie, Jeffrey D, Gbdamosi, Anu et al.2026 · 3 citationsArXiv. 2023
The Brain Tumor Segmentation (BraTS) Challenge: Local Synthesis of Healthy Brain Tissue via Inpainting2305.08992v3 · Florian Kofler, Felix Meissen, Felix Steinbauer et al.2023 · 5 citationsarXiv
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)2305.09011v6 · Hongwei Bran Li, Gian Marco Conte, Qingqiao Hu et al.2023 · 21 citationsarXiv
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma.37608937 · LaBella, Dominic, Adewole, Maruf, Alonso-Basanta, Michelle et al.2023 · 27 citationsArXiv. 2023
Accurate Bayesian segmentation of thalamic nuclei using diffusion MRI and an improved histological atlas.37088323 · Tregidgo, Henry F J, Soskic, Sonja, Althonayan, Juri et al.2023 · 28 citationsNeuroImage. 2023;274:120129
SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining.36857946 · Billot, Benjamin, Greve, Douglas N, Puonti, Oula et al.2023 · 657 citationsMedical image analysis. 2023;86:102789
An open-source tool for longitudinal whole-brain and white matter lesion segmentation.36907041 · Cerri, Stefano, Greve, Douglas N, Hoopes, Andrew et al.2023 · 35 citationsNeuroImage. Clinical. 2023;38:103354
Predicting survival of glioblastoma from automatic whole-brain and tumor segmentation of MR images.36396681 · Pálsson, Sveinn, Cerri, Stefano, Poulsen, Hans Skovgaard et al.2022 · 26 citationsScientific reports. 2022;12(1):19744
A robust intensity distribution alignment for harmonization of T1w intensity values10.1101/2022.06.15.496227v1 · Sederevicius, D., Bjornerud, A., Walhovd, K. B. et al.2022 · 4 citationsbioRxiv
Editorial: Computational Neuroimage Analysis Tools for Brain (Diseases) Biomarkers.35250471 · Sima, Diana M, Bach Cuadra, Meritxell, Dyrby, Tim B et al.2023 · 0 citationsFrontiers in neuroscience. 2022;16:841807
Prediction of MGMT Methylation Status of Glioblastoma using Radiomics and Latent Space Shape Features2109.12339v1 · Sveinn P'alsson, Stefano Cerri, Koen Van Leemput2021 · 19 citationsarXiv
A Contrast Augmentation Approach to Improve Multi-Scanner Generalization in MRI.34531715 · Meyer, Maria Ines, de la Rosa, Ezequiel, Pedrosa de Barros, Nuno et al.2022 · 25 citationsFrontiers in neuroscience. 2021;15:708196
Cone beam computed tomography based image guidance and quality assessment of prostate cancer for magnetic resonance imaging-only radiotherapy in the pelvis.34258409 · Edmund, Jens M, Andreasen, Daniel, Van Leemput, Koen2023 · 7 citationsPhysics and imaging in radiation oncology. 2021;18:55-60
Reliability and sensitivity of two whole-brain segmentation approaches included in FreeSurfer - ASEG and SAMSEG.33940143 · Sederevičius, Donatas, Vidal-Piñeiro, Didac, Sørensen, Øystein et al.2021 · 33 citationsNeuroImage. 2021;237:118113
JOINT SEGMENTATION OF MULTIPLE SCLEROSIS LESIONS AND BRAIN ANATOMY IN MRI SCANS OF ANY CONTRAST AND RESOLUTION WITH CNNs.34367472 · Billot, Benjamin, Cerri, Stefano, Van Leemput, Koen et al.2026 · 18 citationsProceedings. IEEE International Symposium on Biomedical Imaging. 2021;2021:1971-1974
An augmentation strategy to mimic multi-scanner variability in MRI2103.12595v1 · Maria Ines Meyer, Ezequiel de la Rosa, Nuno Barros et al.2021 · 1 citationarXiv
A contrast-adaptive method for simultaneous whole-brain and lesion segmentation in multiple sclerosis.33099007 · Cerri, Stefano, Puonti, Oula, Meier, Dominik S et al.2021 · 152 citationsNeuroImage. 2021;225:117471
3D Reconstruction and Segmentation of Dissection Photographs for MRI-free Neuropathology2009.05596v1 · Henry Tregidgo, Adria Casamitjana, Caitlin Latimer et al.2020 · 10 citationsarXiv
A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis2008.05117v2 · Stefano Cerri, Andrew Hoopes, Douglas N. Greve et al.2020 · 7 citationsarXiv
Accurate and robust whole-head segmentation from magnetic resonance images for individualized head modeling.32534963 · Puonti, Oula, Van Leemput, Koen, Saturnino, Guilherme B et al.2021 · 240 citationsNeuroImage. 2020;219:117044
A Learning Strategy for Contrast-agnostic MRI Segmentation2003.01995v3 · Benjamin Billot, Douglas Greve, Koen Van Leemput et al.2020 · 58 citationsProceedings of the Third Conference on Medical Imaging with Deep Learning (2020), vol.121, pp. 75-93
Magnetic resonance-based computed tomography metal artifact reduction using Bayesian modelling.31766033 · Nielsen, Jonathan Scharff, Edmund, Jens Morgenthaler, Van Leemput, Koen2020 · 7 citationsPhysics in medicine and biology. 2019;64(24):245012
Relevance Vector Machines for harmonization of MRI brain volumes using image descriptors1911.04289v1 · Maria Ines Meyer, Ezequiel de la Rosa, Koen Van Leemput et al.2019 · 3 citationsOR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging. OR 2.0 2019, MLCN 2019. Lecture Notes in Computer Science, vol 11796. Springer, Cham
Semi-Supervised Variational Autoencoder for Survival Prediction1910.04488v1 · Sveinn P'alsson, Stefano Cerri, Andrea Dittadi et al.2019 · 3 citationsarXiv
MR-based CT metal artifact reduction for head-and-neck photon, electron, and proton radiotherapy.31332792 · Nielsen, Jonathan Scharff, Van Leemput, Koen, Edmund, Jens Morgenthaler2020 · 12 citationsMedical physics. 2019;46(10):4314-4323
PSACNN: Pulse sequence adaptive fast whole brain segmentation.31129303 · Jog, Amod, Hoopes, Andrew, Greve, Douglas N et al.2020 · 38 citationsNeuroImage. 2019;199:553-569
Joint inference on structural and diffusion MRI for sequence-adaptive Bayesian segmentation of thalamic nuclei with probabilistic atlases.32431481 · Iglesias, Juan Eugenio, Van Leemput, Koen, Golland, Polina et al.2024 · 6 citationsInformation processing in medical imaging : proceedings of the ... conference. 2019;11492:767-779
A modality-adaptive method for segmenting brain tumors and organs-at-risk in radiation therapy planning.30952038 · Agn, Mikael, Munck Af Rosenschöld, Per, Puonti, Oula et al.2020 · 44 citationsMedical image analysis. 2019;54:220-237
Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference.30835219 · Lipkova, Jana, Angelikopoulos, Panagiotis, Wu, Stephen et al.2020 · 172 citationsIEEE transactions on medical imaging. 2019;38(8):1875-1884
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge1811.02629v3 · Spyridon Bakas, Mauricio Reyes, Andras Jakab et al.2018 · 1,441 citationsarXivon Valency
A probabilistic atlas of the human thalamic nuclei combining ex vivo MRI and histology.30121337 · Iglesias, Juan Eugenio, Insausti, Ricardo, Lerma-Usabiaga, Garikoitz et al.2019 · 584 citationsNeuroImage. 2018;183:314-326
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