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Benjamín Gutiérrez Becker
Benjamín Gutiérrez Becker
Roche
Verified email at tum.de
Title
Cited by
Cited by
Year
Training and deploying a deep learning model for endoscopic severity grading in ulcerative colitis using multicenter clinical trial data
BG Becker, F Arcadu, A Thalhammer, CG Serna, O Feehan, F Drawnel, ...
Therapeutic advances in gastrointestinal endoscopy 14, 2021
3732021
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
2772016
Re-thinking the etiological framework of neurodegeneration
X Castillo, S Castro-Obregón, B Gutiérrez-Becker, G Gutiérrez-Ospina, ...
Frontiers in neuroscience 13, 463358, 2019
742019
Gaussian process uncertainty in age estimation as a measure of brain abnormality
BG Becker, T Klein, C Wachinger, ...
NeuroImage 175, 246-258, 2018
612018
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
472017
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
342020
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
282019
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
Guiding multimodal registration with learned optimization updates
B Gutierrez-Becker, D Mateus, L Peter, N Navab
Medical image analysis 41, 2-17, 2017
262017
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
252016
Deep multi-structural shape analysis: application to neuroanatomy
B Gutiérrez-Becker, C Wachinger
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
242018
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
242010
Discriminative and generative models for anatomical shape analysis on point clouds with deep neural networks
B Gutierrez-Becker, I Sarasua, C Wachinger
Medical Image Analysis 67, 101852, 2021
172021
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
132017
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
112018
Detecting liver cirrhosis in computed tomography scans using clinically-inspired and radiomic features
K Kotowski, D Kucharski, B Machura, S Adamski, BG Becker, A Krason, ...
Computers in Biology and Medicine 152, 106378, 2023
102023
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
102014
Learning a conditional generative model for anatomical shape analysis
B Gutiérrez-Becker, C Wachinger
Information Processing in Medical Imaging: 26th International Conference …, 2019
72019
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
62018
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
62016
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