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A modality-adaptive method for segmenting brain tumors and organs-at-risk in radiation therapy planning., , , , , , , , , and . Medical Image Anal., (2019)Survival of Rats with N29 Brain Tumours after Irradiation with 5 or 15 Gy and Immunization with IFN-gamma Secreting Tumour Cells., , , , , , and . BMEI (2), page 243-247. IEEE Computer Society, (2008)978-0-7695-3118-2.A Modality-Adaptive Method for Segmenting Brain Tumors and Organs-at-Risk in Radiation Therapy Planning., , , , , , , , , and . CoRR, (2018)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)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)Spatially varying Riemannian elasticity regularization: Application to thoracic CT registration in image-guided radiotherapy., , , , , and . ISBI, page 1224-1227. IEEE, (2012)