1 | Discriminative and generative models for anatomical shape analysis on point clouds with deep neural networks | 1ᵉʳ autor: Gutiérrez-Becker B., Sarasua I., Wachinger C. | 2021 | MED IMAGE ANAL | WoS-id: 000598892100009 Scopus-id: 2-s2.0-85093915610
| 11 | 14 |
2 | Training and deploying a deep learning model for endoscopic severity grading in ulcerative colitis using multicenter clinical trial data | 1ᵉʳ autor: Gutierrez Becker B., Arcadu F., Thalhammer A., Gamez Serna C., et al. | 2021 | Therapeutic Advances In Gastrointestinal Endoscopy | WoS-id: 000625017800001 Scopus-id: 2-s2.0-85101804968
| 42 | 47 |
3 | A wide and deep neural network for survival analysis from anatomical shape and tabular clinical data | Coautor: Gutiérrez-Becker B., Pölsterl S., Sarasua I., Wachinger C. | 2020 | Communications in Computer and Information Science | WoS-id: 000718585100037 Scopus-id: 2-s2.0-85083734255
| 20 | 20 |
4 | Learning a Conditional Generative Model for Anatomical Shape Analysis | 1ᵉʳ autor: Gutiérrez-Becker B., Wachinger C. | 2019 | Lecture Notes in Computer Science | WoS-id: 000493380900039 Scopus-id: 2-s2.0-85066135651
| 6 | 5 |
5 | Prediction of Fluid Intelligence from T1-Weighted Magnetic Resonance Images | 2ᵒ autor: Gutiérrez-Becker B., Pölsterl S., Sarasua I., Guha Roy A., et al. | 2019 | Lecture Notes in Computer Science | Scopus-id: 2-s2.0-85075693304
| 0 | 3 |
6 | An AutoML Approach for the Prediction of Fluid Intelligence from MRI-Derived Features | 2ᵒ autor: Gutiérrez-Becker B., Pölsterl S., Sarasua I., Guha Roy A., et al. | 2019 | Lecture Notes in Computer Science | Scopus-id: 2-s2.0-85075694535
| 0 | 4 |
7 | Gaussian process uncertainty in age estimation as a measure of brain abnormality | 1ᵉʳ autor: Gutierrez Becker B., Klein T., Wachinger C., for the Alzheimer's Disease Neuroimaging Initiative and the Australian Imaging B | 2018 | Neuroimage | WoS-id: 000432949000021 Scopus-id: 2-s2.0-85045453584
| 33 | 38 |
8 | Deep multi-structural shape analysis: Application to neuroanatomy | 1ᵉʳ autor: Gutiérrez-Becker B., Wachinger C. | 2018 | Lecture Notes in Computer Science | WoS-id: 000477769700060 Scopus-id: 2-s2.0-85053879446
| 12 | 14 |
9 | Deep Shape Analysis on Abdominal Organs for Diabetes Prediction | 1ᵉʳ autor: Gutiérrez-Becker B., Gatidis S., Gutmann D., Peters A., et al. | 2018 | Lecture Notes in Computer Science | WoS-id: 000922632100021 Scopus-id: 2-s2.0-85057380560
| 1 | 1 |
10 | Learning optimization updates for multimodal registration | 1ᵉʳ autor: Gutiérrez-Becker, B., Mateus, D., Peter, L., Navab, N. | 2016 | Lecture Notes in Computer Science | Scopus-id: 2-s2.0-84996481357
| 0 | 15 |
11 | A deep metric for multimodal registration | 2ᵒ autor: Gutiérrez-Becker, B., Simonovsky, M., Mateus, D., Navab, N., et al. | 2016 | Lecture Notes in Computer Science | Scopus-id: 2-s2.0-84996598572
| 0 | 192 |
12 | Automatic segmentation of the fetal cerebellum on ultrasound volumes, using a 3D statistical shape model | 1ᵉʳ autor: Gutiérrez-Becker B., Cosio, FA, Huerta, MEG, Benavides-Serralde J.A., et al. | 2013 | MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING | WoS-id: 000322739200008 Scopus-id: 2-s2.0-84882249966
| 21 | 27 |
13 | Automatic segmentation of the cerebellum of fetuses on 3D ultrasound images, using a 3D Point Distribution Model. | 1ᵉʳ autor: Gutierrez Becker B., Arambula Cosio F., Guzman Huerta M.E., Benavides-Serralde J.A. | 2010 | IEEE Engineering in Medicine and Biology Society Conference Proceedings | WoS-id: 000287964005031 Scopus-id: 2-s2.0-84903806521
| 11 | 5 |