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Disambiguation of "Leemput, Koen Van"

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

, , , , , , , , , , , and . IEEE Trans. Med. Imaging, 35 (4): 933-946 (2016)

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Koen Vanhaegendoren

Koen Stein

Koen Langendoen

Koen Yskout

Koen Claessen

 

Other publications of authors with the same name

PSACNN: Pulse sequence adaptive fast whole brain segmentation., , , , and . NeuroImage, (2019)Fast and sequence-adaptive whole-brain segmentation using parametric Bayesian modeling., , and . NeuroImage, (2016)Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference., , , , , , , , , and 4 other author(s). IEEE Trans. Medical Imaging, 38 (8): 1875-1884 (2019)The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)., , , , , , , , , and 52 other author(s). CoRR, (2023)A Learning Strategy for Contrast-agnostic MRI Segmentation., , , , , and . MIDL, volume 121 of Proceedings of Machine Learning Research, page 75-93. PMLR, (2020)The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa)., , , , , , , , , and 41 other author(s). CoRR, (2023)A Lightweight Causal Model for Interpretable Subject-level Prediction., , , , and . CoRR, (2023)A generative model for segmentation of tumor and organs-at-risk for radiation therapy planning of glioblastoma patients., , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97841D. SPIE, (2016)Encoding Probabilistic Brain Atlases Using Bayesian Inference.. IEEE Trans. Med. Imaging, 28 (6): 822-837 (2009)Model-Based Segmentation of Hippocampal Subfields in Ultra-High Resolution In Vivo MRI., , , , , , , , and . MICCAI (1), volume 5241 of Lecture Notes in Computer Science, page 235-243. Springer, (2008)