Esther Alberts

According to our database, Esther Alberts authored at least 9 papers between 2015 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

PhD thesis, 2019

Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference.

Jana Lipková, Panagiotis Angelikopoulos, Stephen Wu, Esther Alberts, Benedikt Wiestler, Christian Diehl, Christine Preibisch, Thomas Pyka, Stephanie Combs, Panagiotis E. Hadjidoukas, Koen Van Leemput, Petros Koumoutsakos, John S. Lowengrub, Bjoern H. Menze

IEEE Trans. Medical Imaging, 2019

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, András Jakab, Stefan Bauer, Markus Rempfler, Alessandro Crimi, Russell Takeshi Shinohara, Christoph Berger, Sung Min Ha, Martin Rozycki, Marcel Prastawa, Esther Alberts, Jana Lipková, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Benedikt Wiestler, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Ujjwal Baid, Dongjin Kwon, Manu Agarwal, Mahbubul Alam, Alberto Albiol, Antonio Albiol, Alex Varghese, Tran Anh Tuan, Tal Arbel, Aaron Avery, Pranjal B., Subhashis Banerjee, Thomas Batchelder, Kayhan N. Batmanghelich, Enzo Battistella, Martin Bendszus, Eze Benson, José Bernal, George Biros, Mariano Cabezas, Siddhartha Chandra, Yi-Ju Chang, et al.

CoRR, 2018

Personalized Radiotherapy Planning for Glioma Using Multimodal Bayesian Model Calibration.

Jana Lipková, Panagiotis Angelikopoulos, Stephen Wu, Esther Alberts, Benedikt Wiestler, Christian Diehl, Christine Preibisch, Thomas Pyka, Stephanie Combs, Panagiotis E. Hadjidoukas, Koen Van Leemput, Petros Koumoutsakos, John S. Lowengrub, Bjoern H. Menze

CoRR, 2018

2017

From Large to Small Organ Segmentation in CT Using Regional Context.

Marie Bieth, Esther Alberts, Markus Schwaiger, Bjoern H. Menze

Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

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

Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017

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

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

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

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

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015