Benjamín Gutiérrez-Becker

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 26

Top Topics

Magnetic Resonance Images

Causal Inference

Top Venues

Medical Image Anal.

Publications

Bartosz Machura, Damian Kucharski, Oskar Bozek, Bartosz Eksner, Bartosz Kokoszka, Tomasz Pekala, Mateusz Radom, Marek Strzelczak, Lukasz Zarudzki, Benjamín Gutiérrez-Becker, Agata Krason, Jean Tessier, Jakub Nalepa
Deep learning ensembles for detecting brain metastases in longitudinal multi-modal MRI studies. Comput. Medical Imaging Graph. 116 (2024)
Heming Yao, Jérôme Lüscher, Benjamín Gutiérrez-Becker, Josep Arús-Pous, Tommaso Biancalani, Amelie Bigorgne, David Richmond
Unsupervised Segmentation of Colonoscopy Images. CoRR (2023)
Krzysztof Kotowski, Damian Kucharski, Bartosz Machura, Szymon Adamski, Benjamín Gutiérrez-Becker, Agata Krason, Lukasz Zarudzki, Jean Tessier, Jakub Nalepa
Detecting liver cirrhosis in computed tomography scans using clinically-inspired and radiomic features. Comput. Biol. Medicine 152 (2023)
Benjamín Gutiérrez-Becker, Ignacio Sarasua, Christian Wachinger
Discriminative and generative models for anatomical shape analysis on point clouds with deep neural networks. Medical Image Anal. 67 (2021)
Benjamín Gutiérrez-Becker, Ignacio Sarasua, Christian Wachinger
Discriminative and Generative Models for Anatomical Shape Analysison Point Clouds with Deep Neural Networks. CoRR (2020)
Sebastian Pölsterl, Ignacio Sarasua, Benjamín Gutiérrez-Becker, Christian Wachinger
A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data. PKDD/ECML Workshops (1) (2019)
Sebastian Pölsterl, Ignacio Sarasua, Benjamín Gutiérrez-Becker, Christian Wachinger
A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data. CoRR (2019)
Sebastian Pölsterl, Benjamín Gutiérrez-Becker, Ignacio Sarasua, Abhijit Guha Roy, Christian Wachinger
Prediction of Fluid Intelligence from T1-Weighted Magnetic Resonance Images. ABCD-NP@MICCAI (2019)
Christian Wachinger, Benjamín Gutiérrez-Becker, Anna Rieckmann, Sebastian Pölsterl
Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference. MICCAI (4) (2019)
Sebastian Pölsterl, Benjamín Gutiérrez-Becker, Ignacio Sarasua, Abhijit Guha Roy, Christian Wachinger
An AutoML Approach for the Prediction of Fluid Intelligence from MRI-Derived Features. ABCD-NP@MICCAI (2019)
Christian Wachinger, Benjamín Gutiérrez-Becker, Anna Rieckmann, Sebastian Pölsterl
Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference. CoRR (2019)
Benjamín Gutiérrez-Becker, Christian Wachinger
Learning a Conditional Generative Model for Anatomical Shape Analysis. IPMI (2019)
Benjamín Gutiérrez-Becker, Sergios Gatidis, Daniel Gutmann, Annette Peters, Christopher Schlett, Fabian Bamberg, Christian Wachinger
Deep Shape Analysis on Abdominal Organs for Diabetes Prediction. CoRR (2018)
Benjamín Gutiérrez-Becker, Tassilo Klein, Christian Wachinger
Gaussian Process Uncertainty in Age Estimation as a Measure of Brain Abnormality. CoRR (2018)
Christian Wachinger, Benjamín Gutiérrez-Becker, Anna Rieckmann
Detect, Quantify, and Incorporate Dataset Bias: A Neuroimaging Analysis on 12, 207 Individuals. CoRR (2018)
Benjamín Gutiérrez-Becker, Sergios Gatidis, Daniel Gutmann, Annette Peters, Christopher Schlett, Fabian Bamberg, Christian Wachinger
Deep Shape Analysis on Abdominal Organs for Diabetes Prediction. ShapeMI@MICCAI (2018)
Benjamín Gutiérrez-Becker, Tassilo Klein, Christian Wachinger
Gaussian process uncertainty in age estimation as a measure of brain abnormality. NeuroImage 175 (2018)
Benjamín Gutiérrez-Becker, Christian Wachinger
Deep Multi-Structural Shape Analysis: Application to Neuroanatomy. CoRR (2018)
Benjamín Gutiérrez-Becker, Christian Wachinger
Deep Multi-structural Shape Analysis: Application to Neuroanatomy. MICCAI (3) (2018)
Marco Riva, Christoph Hennersperger, Fausto Milletari, Amin Katouzian, Federico Pessina, Benjamín Gutiérrez-Becker, Antonella Castellano, Nassir Navab, Lorenzo Bello
3D intra-operative ultrasound and MR image guidance: pursuing an ultrasound-based management of brainshift to enhance neuronavigation. Int. J. Comput. Assist. Radiol. Surg. 12 (10) (2017)
Benjamín Gutiérrez-Becker, Diana Mateus, Loïc Peter, Nassir Navab
Guiding multimodal registration with learned optimization updates. Medical Image Anal. 41 (2017)
Benjamín Gutiérrez-Becker, Diana Mateus, Loïc Peter, Nassir Navab
Learning Optimization Updates for Multimodal Registration. MICCAI (3) (2016)
Martin Simonovsky, Benjamín Gutiérrez-Becker, Diana Mateus, Nassir Navab, Nikos Komodakis
A Deep Metric for Multimodal Registration. MICCAI (3) (2016)
Florian Dubost, Loïc Peter, Christian Rupprecht, Benjamín Gutiérrez-Becker, Nassir Navab
Hands-Free Segmentation of Medical Volumes via Binary Inputs. CoRR (2016)
Martin Simonovsky, Benjamín Gutiérrez-Becker, Diana Mateus, Nassir Navab, Nikos Komodakis
A Deep Metric for Multimodal Registration. CoRR (2016)
Florian Dubost, Loïc Peter, Christian Rupprecht, Benjamín Gutiérrez-Becker, Nassir Navab
Hands-Free Segmentation of Medical Volumes via Binary Inputs. LABELS/DLMIA@MICCAI (2016)
Benjamín Gutiérrez-Becker, Fernando Arámbula Cosío, Mario E. Guzmán Huerta, Jesús Andrés Benavides-Serralde, Lisbeth Camargo-Marín, Verónica Médina-Bañuelos
Automatic segmentation of the fetal cerebellum on ultrasound volumes, using a 3D statistical shape model. Medical Biol. Eng. Comput. 51 (9) (2013)