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Benjamín Gutiérrez Becker
Benjamín Gutiérrez Becker
Roche
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A deep metric for multimodal registration
M Simonovsky, B Gutiérrez-Becker, D Mateus, N Navab, N Komodakis
Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016
2322016
Re-thinking the etiological framework of neurodegeneration
X Castillo, S Castro-Obregón, B Gutiérrez-Becker, G Gutiérrez-Ospina, ...
Frontiers in neuroscience 13, 728, 2019
612019
Gaussian process uncertainty in age estimation as a measure of brain abnormality
BG Becker, T Klein, C Wachinger, ...
NeuroImage 175, 246-258, 2018
542018
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, 1711-1725, 2017
442017
Automatic segmentation of the fetal cerebellum on ultrasound volumes, using a 3D statistical shape model
B Gutiérrez-Becker, F Arámbula Cosío, ME Guzmán Huerta, ...
Medical & biological engineering & computing 51, 1021-1030, 2013
282013
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
252010
Learning optimization updates for multimodal registration
B Gutiérrez-Becker, D Mateus, L Peter, N Navab
Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016
242016
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
Machine Learning and Knowledge Discovery in Databases: International …, 2020
232020
Quantifying confounding bias in neuroimaging datasets with causal inference
C Wachinger, BG Becker, A Rieckmann, S Pölsterl
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
232019
Deep multi-structural shape analysis: application to neuroanatomy
B Gutiérrez-Becker, C Wachinger
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
232018
Guiding multimodal registration with learned optimization updates
B Gutierrez-Becker, D Mateus, L Peter, N Navab
Medical image analysis 41, 2-17, 2017
222017
Training and deploying a deep learning model for endoscopic severity grading in ulcerative colitis using multicenter clinical trial data
B Gutierrez Becker, F Arcadu, A Thalhammer, C Gamez Serna, O Feehan, ...
Therapeutic advances in gastrointestinal endoscopy 14, 2631774521990623, 2021
202021
A multi-armed bandit to smartly select a training set from big medical data
B Gutiérrez, L Peter, T Klein, C Wachinger
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
82017
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: First …, 2016
82016
Learning a conditional generative model for anatomical shape analysis
B Gutiérrez-Becker, C Wachinger
Information Processing in Medical Imaging: 26th International Conference …, 2019
72019
Discriminative and generative models for anatomical shape analysis on point clouds with deep neural networks
B Gutiérrez-Becker, I Sarasua, C Wachinger
Medical Image Analysis 67, 101852, 2021
62021
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
62018
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
62014
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
52018
Deep shape analysis on abdominal organs for diabetes prediction
B Gutiérrez-Becker, S Gatidis, D Gutmann, A Peters, C Schlett, F Bamberg, ...
Shape in Medical Imaging: International Workshop, ShapeMI 2018, Held in …, 2018
22018
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Artikelen 1–20