A Nonparametric Growth Model for Brain Tumor Segmentation in Longitudinal MR Sequences. - Esther Alberts; Guillaume Charpiat; Yuliya Tarabalka; Thomas Huber; Marc-André Weber; Jan S. Bauer; Claus Zimmer; Bjoern H. Menze (Brainles@MICCAI, 2015)

Uncertainty quantification in brain tumor segmentation using CRFs and random perturbation models. - Esther Alberts; Markus Rempfler; Georgina Alber; Thomas Huber; Jan Kirschke; Claus Zimmer; Bjoern H. Menze (ISBI, 2016)

A Generative Probabilistic Model and Discriminative Extensions for Brain Lesion Segmentation - With Application to Tumor and Stroke. - Bjoern H. Menze; Koen Van Leemput; Danial Lashkari; Tammy Riklin-Raviv; Ezequiel Geremia; Esther Alberts; Philipp Gruber; Susanne Wegener; Marc-André Weber; Gábor Székely; Nicholas Ayache; Polina Golland (IEEE Trans. Medical Imaging, 2016)

Multi-modal Image Classification Using Low-Dimensional Texture Features for Genomic Brain Tumor Recognition. - Esther Alberts; Giles Tetteh; Stefano Trebeschi; Marie Bieth; Alexander Valentinitsch; Benedikt Wiestler; Claus Zimmer; Bjoern H. Menze (GRAIL/MFCA/MICGen@MICCAI, 2017)

From Large to Small Organ Segmentation in CT Using Regional Context. - Marie Bieth; Esther Alberts; Markus Schwaiger; Bjoern H. Menze (MLMI@MICCAI, 2017)

Personalized Radiotherapy Planning for Glioma Using Multimodal Bayesian Model Calibration. - Jana Lipková; Panagiotis Angelikopoulos; Stephen Wu 001; Esther Alberts; Benedikt Wiestler; Christian Diehl; Christine Preibisch; Thomas Pyka; Stephanie Combs; Panagiotis E. Hadjidoukas; Koen Van Leemput; Petros Koumoutsakos; et al. (CoRR, 2018)

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. - Spyridon Bakas; Mauricio Reyes 001; András Jakab; Stefan Bauer; Markus Rempfler; Alessandro Crimi; Russell Takeshi Shinohara; Christoph Berger; Sung Min Ha; Martin Rozycki; Marcel Prastawa; Esther Alberts; et al. (CoRR, 2018)

Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference. - Jana Lipková; Panagiotis Angelikopoulos; Stephen Wu 001; Esther Alberts; Benedikt Wiestler; Christian Diehl; Christine Preibisch; Thomas Pyka; Stephanie Combs; Panagiotis E. Hadjidoukas; Koen Van Leemput; Petros Koumoutsakos; et al. (IEEE Trans. Medical Imaging, 2019)

Multi-modal Multi-temporal Brain Tumor Segmentation, Growth Analysis and Texture-based Classification (Multispektrale, multitemporale Bildanalyse zur Segmentierung, Wachstumsanalyse und Klassifizierung von Gerhirntumoren) - Esther Alberts (2019)