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Esther Alberts
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2010 – 2019
- 2019
- [b1]Esther Alberts:
Multi-modal Multi-temporal Brain Tumor Segmentation, Growth Analysis and Texture-based Classification (Multispektrale, multitemporale Bildanalyse zur Segmentierung, Wachstumsanalyse und Klassifizierung von Gerhirntumoren). Technical University of Munich, Germany, 2019 - [j2]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
:
Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference. IEEE Trans. Medical Imaging 38(8): 1875-1884 (2019) - 2018
- [i2]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:
Personalized Radiotherapy Planning for Glioma Using Multimodal Bayesian Model Calibration. CoRR abs/1807.00499 (2018) - [i1]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.:
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. CoRR abs/1811.02629 (2018) - 2017
- [c4]Marie Bieth, Esther Alberts, Markus Schwaiger, Bjoern H. Menze
:
From Large to Small Organ Segmentation in CT Using Regional Context. MLMI@MICCAI 2017: 1-9 - [c3]Esther Alberts, Giles Tetteh, Stefano Trebeschi, Marie Bieth, Alexander Valentinitsch, Benedikt Wiestler
, Claus Zimmer, Bjoern H. Menze
:
Multi-modal Image Classification Using Low-Dimensional Texture Features for Genomic Brain Tumor Recognition. GRAIL/MFCA/MICGen@MICCAI 2017: 201-209 - 2016
- [j1]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:
A Generative Probabilistic Model and Discriminative Extensions for Brain Lesion Segmentation - With Application to Tumor and Stroke. IEEE Trans. Medical Imaging 35(4): 933-946 (2016) - [c2]Esther Alberts, Markus Rempfler, Georgina Alber, Thomas Huber, Jan Kirschke, Claus Zimmer, Bjoern H. Menze
:
Uncertainty quantification in brain tumor segmentation using CRFs and random perturbation models. ISBI 2016: 428-431 - 2015
- [c1]Esther Alberts, Guillaume Charpiat, Yuliya Tarabalka, Thomas Huber, Marc-André Weber, Jan S. Bauer, Claus Zimmer, Bjoern H. Menze
:
A Nonparametric Growth Model for Brain Tumor Segmentation in Longitudinal MR Sequences. Brainles@MICCAI 2015: 69-79
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