Bayesian Personalization of Brain Tumor Growth Model. - Matthieu Lê; Hervé Delingette; Jayashree Kalpathy-Cramer; Elizabeth R. Gerstner; Tracy Batchelor; Jan Unkelbach; Nicholas Ayache (MICCAI (2), 2015)

MRI Based Bayesian Personalization of a Tumor Growth Model. - Matthieu Lê; Hervé Delingette; Jayashree Kalpathy-Cramer; Elizabeth R. Gerstner; Tracy Batchelor; Jan Unkelbach; Nicholas Ayache (IEEE Trans. Medical Imaging, 2016)

Personalized Radiotherapy Planning Based on a Computational Tumor Growth Model. - Matthieu Lê; Hervé Delingette; Jayashree Kalpathy-Cramer; Elizabeth R. Gerstner; Tracy Batchelor; Jan Unkelbach; Nicholas Ayache (IEEE Trans. Medical Imaging, 2017)

Is this good enough? On expert perception of brain tumor segmentation quality. - Katharina Hoebel; Christopher P. Bridge; Sara Ahmed; Oluwatosin Akintola; Caroline Chung; Raymond Y. Huang; Jason Johnson; Albert E. Kim; K. Ina Ly; Ken Chang; Jay B. Patel; Marco Pinho; et al. (Image Perception, Observer Performance, and Technology Assessment, 2022)

Deep-ER: Deep Learning ECCENTRIC Reconstruction for fast high-resolution neurometabolic imaging. - Paul Weiser; Georg Langs; Wolfgang Bogner; Stanislav Motyka; Bernhard Strasser; Polina Golland; Nalini M. Singh; Jorg Dietrich; Erik Uhlmann; Tracy Batchelor; Daniel Cahill; Malte Hoffmann; et al. (NeuroImage, 2025)