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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)

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Visualization of neural networks using saliency maps., , , , , , , and . ICNN, page 2085-2090. IEEE, (1995)A multi-centre evaluation of eleven clinically feasible brain PET/MRI attenuation correction techniques using a large cohort of patients., , , , , , , , , and 18 other author(s). NeuroImage, (2017)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)Combined PET/MR imaging in neurology: MR-based attenuation correction implies a strong spatial bias when ignoring bone., , , , , , , , and . NeuroImage, (2014)A Neuro Fuzzy Rule Based Allocation System., and . EUROSIM, page 243-249. Elsevier, (1994)Brain Tumor Segmentation Using a Generative Model with an RBM Prior on Tumor Shape., , , , and . Brainles@MICCAI, volume 9556 of Lecture Notes in Computer Science, page 168-180. Springer, (2015)The G-algorithm for extraction of robust decision rules children's postoperative intra-atrial arrhythmia case study., , and . IEEE Trans. Information Technology in Biomedicine, 5 (3): 225-235 (2001)