Benjamín Gutiérrez-Becker

According to our database, Benjamín Gutiérrez-Becker authored at least 23 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Deep learning ensembles for detecting brain metastases in longitudinal multi-modal MRI studies.

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

Comput. Medical Imaging Graph., 2024

Automated Hepatocellular Carcinoma Analysis in Multi-phase CT with Deep Learning.

Krzysztof Kotowski, Bartosz Machura, Damian Kucharski, Benjamín Gutiérrez-Becker, Agata Krason, Jean Tessier, Jakub Nalepa

Proceedings of the Cancer Prevention, Detection, and Intervention - Third MICCAI Workshop, 2024

2023

Unsupervised Segmentation of Colonoscopy Images.

Heming Yao, Jérôme Lüscher, Benjamín Gutiérrez-Becker, Josep Arús-Pous, Tommaso Biancalani, Amelie Bigorgne, David Richmond

CoRR, 2023

Detecting liver cirrhosis in computed tomography scans using clinically-inspired and radiomic features.

Krzysztof Kotowski, Damian Kucharski, Bartosz Machura, Szymon Adamski, Benjamín Gutiérrez-Becker, Agata Krason, Lukasz Zarudzki, Jean Tessier, Jakub Nalepa

Comput. Biol. Medicine, 2023

2021

Discriminative and generative models for anatomical shape analysis on point clouds with deep neural networks.

Benjamín Gutiérrez-Becker, Ignacio Sarasua, Christian Wachinger

Medical Image Anal., 2021

2020

Discriminative and Generative Models for Anatomical Shape Analysison Point Clouds with Deep Neural Networks.

Benjamín Gutiérrez-Becker, Ignacio Sarasua, Christian Wachinger

CoRR, 2020

2019

A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data.

Sebastian Pölsterl, Ignacio Sarasua, Benjamín Gutiérrez-Becker, Christian Wachinger

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference.

Christian Wachinger, Benjamín Gutiérrez-Becker, Anna Rieckmann, Sebastian Pölsterl

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

An AutoML Approach for the Prediction of Fluid Intelligence from MRI-Derived Features.

Sebastian Pölsterl, Benjamín Gutiérrez-Becker, Ignacio Sarasua, Abhijit Guha Roy, Christian Wachinger

Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019

Prediction of Fluid Intelligence from T1-Weighted Magnetic Resonance Images.

Sebastian Pölsterl, Benjamín Gutiérrez-Becker, Ignacio Sarasua, Abhijit Guha Roy, Christian Wachinger

Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019

Learning a Conditional Generative Model for Anatomical Shape Analysis.

Benjamín Gutiérrez-Becker, Christian Wachinger

Proceedings of the Information Processing in Medical Imaging, 2019

2018

Gaussian process uncertainty in age estimation as a measure of brain abnormality.

Benjamín Gutiérrez-Becker, Tassilo Klein, Christian Wachinger

NeuroImage, 2018

Detect, Quantify, and Incorporate Dataset Bias: A Neuroimaging Analysis on 12, 207 Individuals.

Christian Wachinger, Benjamín Gutiérrez-Becker, Anna Rieckmann

CoRR, 2018

Deep Shape Analysis on Abdominal Organs for Diabetes Prediction.

Benjamín Gutiérrez-Becker, Sergios Gatidis, Daniel Gutmann, Annette Peters, Christopher Schlett, Fabian Bamberg, Christian Wachinger

Proceedings of the Shape in Medical Imaging, 2018

Deep Multi-structural Shape Analysis: Application to Neuroanatomy.

Benjamín Gutiérrez-Becker, Christian Wachinger

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Guiding multimodal registration with learned optimization updates.

Benjamín Gutiérrez-Becker, Diana Mateus, Loïc Peter, Nassir Navab

Medical Image Anal., 2017

3D intra-operative ultrasound and MR image guidance: pursuing an ultrasound-based management of brainshift to enhance neuronavigation.

Marco Riva, Christoph Hennersperger, Fausto Milletari, Amin Katouzian, Federico Pessina, Benjamín Gutiérrez-Becker, Antonella Castellano, Nassir Navab, Lorenzo Bello

Int. J. Comput. Assist. Radiol. Surg., 2017

A Multi-armed Bandit to Smartly Select a Training Set from Big Medical Data.

Benjamín Gutiérrez, Loïc Peter, Tassilo Klein, Christian Wachinger

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016

A Deep Metric for Multimodal Registration.

Martin Simonovsky, Benjamín Gutiérrez-Becker, Diana Mateus, Nassir Navab, Nikos Komodakis

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Learning Optimization Updates for Multimodal Registration.

Benjamín Gutiérrez-Becker, Diana Mateus, Loïc Peter, Nassir Navab

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Hands-Free Segmentation of Medical Volumes via Binary Inputs.

Florian Dubost, Loïc Peter, Christian Rupprecht, Benjamín Gutiérrez-Becker, Nassir Navab

Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016

2014

A sparse approach to build shape models with routine clinical data.

Benjamín Gutiérrez, Diana Mateus, Ehab Shiban, Bernhard Meyer, Jens Lehmberg, Nassir Navab

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013

Automatic segmentation of the fetal cerebellum on ultrasound volumes, using a 3D statistical shape model.

Benjamín Gutiérrez-Becker, Fernando Arámbula Cosío, Mario E. Guzmán Huerta, Jesús Andrés Benavides-Serralde, Lisbeth Camargo-Marín, Verónica Médina-Bañuelos

Medical Biol. Eng. Comput., 2013