Benjamín Gutiérrez-Becker

28 papers Journal 17Unranked 11
YearRankTypeTitle / Venue / Authors
2024 — conf
Automated Hepatocellular Carcinoma Analysis in Multi-phase CT with Deep Learning.
CaPTion@MICCAI
Krzysztof Kotowski, Bartosz Machura, Damian Kucharski, Benjamín Gutiérrez-Becker, Agata Krason, Jean Tessier, Jakub Nalepa
2024 J jnl
Deep learning ensembles for detecting brain metastases in longitudinal multi-modal MRI studies.
Comput. Medical Imaging Graph.
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
2023 J jnl
Detecting liver cirrhosis in computed tomography scans using clinically-inspired and radiomic features.
Comput. Biol. Medicine
Krzysztof Kotowski, Damian Kucharski, Bartosz Machura, Szymon Adamski, Benjamín Gutiérrez-Becker, Agata Krason, Lukasz Zarudzki, Jean Tessier, Jakub Nalepa
2023 J jnl
Unsupervised Segmentation of Colonoscopy Images.
CoRR
Heming Yao, Jérôme Lüscher, Benjamín Gutiérrez-Becker, Josep Arús-Pous, Tommaso Biancalani, Amelie Bigorgne, David Richmond
2021 J jnl
Discriminative and generative models for anatomical shape analysis on point clouds with deep neural networks.
Medical Image Anal.
Benjamín Gutiérrez-Becker, Ignacio Sarasua, Christian Wachinger
2020 J jnl
Discriminative and Generative Models for Anatomical Shape Analysison Point Clouds with Deep Neural Networks.
CoRR
Benjamín Gutiérrez-Becker, Ignacio Sarasua, Christian Wachinger
2019 — conf
A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data.
PKDD/ECML Workshops (1)
Sebastian Pölsterl, Ignacio Sarasua, Benjamín Gutiérrez-Becker, Christian Wachinger
2019 J jnl
A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data.
CoRR
Sebastian Pölsterl, Ignacio Sarasua, Benjamín Gutiérrez-Becker, Christian Wachinger
2019 — conf
An AutoML Approach for the Prediction of Fluid Intelligence from MRI-Derived Features.
ABCD-NP@MICCAI
Sebastian Pölsterl, Benjamín Gutiérrez-Becker, Ignacio Sarasua, Abhijit Guha Roy, Christian Wachinger
2019 — conf
Learning a Conditional Generative Model for Anatomical Shape Analysis.
IPMI
Benjamín Gutiérrez-Becker, Christian Wachinger
2019 — conf
Prediction of Fluid Intelligence from T1-Weighted Magnetic Resonance Images.
ABCD-NP@MICCAI
Sebastian Pölsterl, Benjamín Gutiérrez-Becker, Ignacio Sarasua, Abhijit Guha Roy, Christian Wachinger
2019 — conf
Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference.
MICCAI (4)
Christian Wachinger, Benjamín Gutiérrez-Becker, Anna Rieckmann, Sebastian Pölsterl
2019 J jnl
Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference.
CoRR
Christian Wachinger, Benjamín Gutiérrez-Becker, Anna Rieckmann, Sebastian Pölsterl
2018 J jnl
Deep Multi-Structural Shape Analysis: Application to Neuroanatomy.
CoRR
Benjamín Gutiérrez-Becker, Christian Wachinger
2018 — conf
Deep Multi-structural Shape Analysis: Application to Neuroanatomy.
MICCAI (3)
Benjamín Gutiérrez-Becker, Christian Wachinger
2018 — conf
Deep Shape Analysis on Abdominal Organs for Diabetes Prediction.
ShapeMI@MICCAI
Benjamín Gutiérrez-Becker, Sergios Gatidis, Daniel Gutmann, Annette Peters, Christopher Schlett, Fabian Bamberg, Christian Wachinger
2018 J jnl
Deep Shape Analysis on Abdominal Organs for Diabetes Prediction.
CoRR
Benjamín Gutiérrez-Becker, Sergios Gatidis, Daniel Gutmann, Annette Peters, Christopher Schlett, Fabian Bamberg, Christian Wachinger
2018 J jnl
Detect, Quantify, and Incorporate Dataset Bias: A Neuroimaging Analysis on 12, 207 Individuals.
CoRR
Christian Wachinger, Benjamín Gutiérrez-Becker, Anna Rieckmann
2018 J jnl
Gaussian Process Uncertainty in Age Estimation as a Measure of Brain Abnormality.
CoRR
Benjamín Gutiérrez-Becker, Tassilo Klein, Christian Wachinger
2018 J jnl
Gaussian process uncertainty in age estimation as a measure of brain abnormality.
NeuroImage
Benjamín Gutiérrez-Becker, Tassilo Klein, Christian Wachinger
2017 J jnl
3D intra-operative ultrasound and MR image guidance: pursuing an ultrasound-based management of brainshift to enhance neuronavigation.
Int. J. Comput. Assist. Radiol. Surg.
Marco Riva, Christoph Hennersperger, Fausto Milletari, Amin Katouzian, Federico Pessina, Benjamín Gutiérrez-Becker, Antonella Castellano, Nassir Navab, Lorenzo Bello
2017 J jnl
Guiding multimodal registration with learned optimization updates.
Medical Image Anal.
Benjamín Gutiérrez-Becker, Diana Mateus, Loïc Peter, Nassir Navab
2016 — conf
A Deep Metric for Multimodal Registration.
MICCAI (3)
Martin Simonovsky, Benjamín Gutiérrez-Becker, Diana Mateus, Nassir Navab, Nikos Komodakis
2016 J jnl
A Deep Metric for Multimodal Registration.
CoRR
Martin Simonovsky, Benjamín Gutiérrez-Becker, Diana Mateus, Nassir Navab, Nikos Komodakis
2016 — conf
Hands-Free Segmentation of Medical Volumes via Binary Inputs.
LABELS/DLMIA@MICCAI
Florian Dubost, Loïc Peter, Christian Rupprecht, Benjamín Gutiérrez-Becker, Nassir Navab
2016 J jnl
Hands-Free Segmentation of Medical Volumes via Binary Inputs.
CoRR
Florian Dubost, Loïc Peter, Christian Rupprecht, Benjamín Gutiérrez-Becker, Nassir Navab
2016 — conf
Learning Optimization Updates for Multimodal Registration.
MICCAI (3)
Benjamín Gutiérrez-Becker, Diana Mateus, Loïc Peter, Nassir Navab
2013 J jnl
Automatic segmentation of the fetal cerebellum on ultrasound volumes, using a 3D statistical shape model.
Medical Biol. Eng. Comput.
Benjamín Gutiérrez-Becker, Fernando Arámbula Cosío, Mario E. Guzmán Huerta, Jesús Andrés Benavides-Serralde, Lisbeth Camargo-Marín, Verónica Médina-Bañuelos