Benjamín Gutiérrez Becker
Benjamín Gutiérrez Becker
Roche
Verified email at tum.de
Title
Cited by
Cited by
Year
A deep metric for multimodal registration
M Simonovsky, B Gutiérrez-Becker, D Mateus, N Navab, N Komodakis
International conference on medical image computing and computer-assisted …, 2016
1092016
Automatic segmentation of the fetal cerebellum on ultrasound volumes, using a 3D statistical shape model
B Gutiérrez-Becker, FA Cosío, MEG Huerta, JA Benavides-Serralde, ...
Medical & biological engineering & computing 51 (9), 1021-1030, 2013
242013
3D intra-operative ultrasound and MR image guidance: pursuing an ultrasound-based management of brainshift to enhance neuronavigation
M Riva, C Hennersperger, F Milletari, A Katouzian, F Pessina, ...
International journal of computer assisted radiology and surgery 12 (10 …, 2017
222017
Automatic segmentation of the cerebellum of fetuses on 3D ultrasound images, using a 3D Point Distribution Model
BG Becker, FA Cosío, MEG Huerta, JA Benavides-Serralde
2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010
192010
Gaussian process uncertainty in age estimation as a measure of brain abnormality
BG Becker, T Klein, C Wachinger, ...
NeuroImage 175, 246-258, 2018
152018
Learning optimization updates for multimodal registration
B Gutiérrez-Becker, D Mateus, L Peter, N Navab
International Conference on Medical Image Computing and Computer-Assisted …, 2016
152016
Guiding multimodal registration with learned optimization updates
B Gutierrez-Becker, D Mateus, L Peter, N Navab
Medical image analysis 41, 2-17, 2017
102017
Deep multi-structural shape analysis: application to neuroanatomy
B Gutiérrez-Becker, C Wachinger
International Conference on Medical Image Computing and Computer-Assisted …, 2018
82018
Hands-free segmentation of medical volumes via binary inputs
F Dubost, L Peter, C Rupprecht, BG Becker, N Navab
Deep Learning and Data Labeling for Medical Applications, 259-268, 2016
72016
A multi-armed bandit to smartly select a training set from big medical data
B Gutiérrez, L Peter, T Klein, C Wachinger
International Conference on Medical Image Computing and Computer-Assisted …, 2017
52017
A sparse approach to build shape models with routine clinical data
B Gutierrez, D Mateus, E Shiban, B Meyer, J Lehmberg, N Navab
2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 258-261, 2014
52014
Re-thinking the etiological framework of neurodegeneration
X Castillo, S Castro-Obregón, B Gutierrez Becker, G Gutiérrez-Ospina, ...
Frontiers in neuroscience 13, 728, 2019
42019
Quantifying confounding bias in neuroimaging datasets with causal inference
C Wachinger, BG Becker, A Rieckmann, S Pölsterl
International Conference on Medical Image Computing and Computer-Assisted …, 2019
32019
Detect, Quantify, and Incorporate Dataset Bias: A Neuroimaging Analysis on 12,207 Individuals
C Wachinger, BG Becker, A Rieckmann
arXiv preprint arXiv:1804.10764, 2018
22018
Spatial compounding of 3-D fetal brain ultrasound using probabilistic maps
J Perez-Gonzalez, F Arámbula-Cosío, M Guzmán, L Camargo, ...
Ultrasound in medicine & biology 44 (1), 278-291, 2018
22018
Automatic segmentation of the fetal cerebellum on 3D ultrasound.
BG Becker, FA Cosío, MEG Huerta, J Andrés
Simposio Mexicano en Cirugía Asistida por Computadora y Procesamiento de …, 2011
22011
An AutoML Approach for the Prediction of Fluid Intelligence from MRI-Derived Features
S Pölsterl, B Gutiérrez-Becker, I Sarasua, AG Roy, C Wachinger
Challenge in Adolescent Brain Cognitive Development Neurocognitive …, 2019
12019
P212 Deep learning video analysis for a fully automated per-frame grading of ulcerative colitis
B GUTIERREZ BECKER, C Gamez Serna, A Thalhammer, Y Oh, ...
Journal of Crohn's and Colitis 14 (Supplement_1), S246-S247, 2020
2020
Prediction of Fluid Intelligence from T1-Weighted Magnetic Resonance Images
S Pölsterl, B Gutiérrez-Becker, I Sarasua, AG Roy, C Wachinger
Challenge in Adolescent Brain Cognitive Development Neurocognitive …, 2019
2019
A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data
S Pölsterl, I Sarasua, B Gutiérrez-Becker, C Wachinger
arXiv preprint arXiv:1909.03890, 2019
2019
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