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ORCIDBenjamín Gutiérrez-Becker
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2020 – today
- 2024
[j7]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: 102401 (2024)- [c13]Krzysztof Kotowski, Bartosz Machura, Damian Kucharski, Benjamín Gutiérrez-Becker, Agata Krason, Jean Tessier, Jakub Nalepa:
Automated Hepatocellular Carcinoma Analysis in Multi-phase CT with Deep Learning. CaPTion@MICCAI 2024: 93-103 - 2023
- [j6]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: 106378 (2023) - [i11]Heming Yao, Jérôme Lüscher, Benjamín Gutiérrez-Becker, Josep Arús-Pous, Tommaso Biancalani, Amelie Bigorgne, David Richmond:
Unsupervised Segmentation of Colonoscopy Images. CoRR abs/2312.12599 (2023) - 2021
- [j5]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: 101852 (2021) - 2020
- [i10]Benjamín Gutiérrez-Becker, Ignacio Sarasua, Christian Wachinger:
Discriminative and Generative Models for Anatomical Shape Analysison Point Clouds with Deep Neural Networks. CoRR abs/2010.00820 (2020)
2010 – 2019
- 2019
- [c12]Benjamín Gutiérrez-Becker, Christian Wachinger:
Learning a Conditional Generative Model for Anatomical Shape Analysis. IPMI 2019: 505-516 - [c11]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: 35-46 - [c10]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: 99-107 - [c9]Christian Wachinger, Benjamín Gutiérrez-Becker, Anna Rieckmann, Sebastian Pölsterl:
Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference. MICCAI (4) 2019: 484-492 - [c8]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: 453-464 - [i9]Christian Wachinger, Benjamín Gutiérrez-Becker, Anna Rieckmann, Sebastian Pölsterl:
Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference. CoRR abs/1907.04102 (2019) - [i8]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 abs/1909.03890 (2019) - 2018
- [j4]Benjamín Gutiérrez-Becker, Tassilo Klein, Christian Wachinger:
Gaussian process uncertainty in age estimation as a measure of brain abnormality. NeuroImage 175: 246-258 (2018) - [c7]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: 223-231 - [c6]Benjamín Gutiérrez-Becker, Christian Wachinger:
Deep Multi-structural Shape Analysis: Application to Neuroanatomy. MICCAI (3) 2018: 523-531 - [i7]Benjamín Gutiérrez-Becker, Tassilo Klein, Christian Wachinger:
Gaussian Process Uncertainty in Age Estimation as a Measure of Brain Abnormality. CoRR abs/1804.01296 (2018) - [i6]Christian Wachinger, Benjamín Gutiérrez-Becker, Anna Rieckmann:
Detect, Quantify, and Incorporate Dataset Bias: A Neuroimaging Analysis on 12, 207 Individuals. CoRR abs/1804.10764 (2018) - [i5]Benjamín Gutiérrez-Becker, Christian Wachinger:
Deep Multi-Structural Shape Analysis: Application to Neuroanatomy. CoRR abs/1806.01069 (2018) - [i4]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 abs/1808.01946 (2018) - 2017
- [j3]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): 1711-1725 (2017) - [j2]Benjamín Gutiérrez-Becker, Diana Mateus, Loïc Peter, Nassir Navab:
Guiding multimodal registration with learned optimization updates. Medical Image Anal. 41: 2-17 (2017) - [c5]Benjamín Gutiérrez, Loïc Peter, Tassilo Klein, Christian Wachinger:
A Multi-armed Bandit to Smartly Select a Training Set from Big Medical Data. MICCAI (3) 2017: 38-45 - [i3]Benjamín Gutiérrez, Loïc Peter, Tassilo Klein, Christian Wachinger:
A Multi-Armed Bandit to Smartly Select a Training Set from Big Medical Data. CoRR abs/1705.08111 (2017) - 2016
- [c4]Martin Simonovsky, Benjamín Gutiérrez-Becker, Diana Mateus, Nassir Navab, Nikos Komodakis:
A Deep Metric for Multimodal Registration. MICCAI (3) 2016: 10-18 - [c3]Benjamín Gutiérrez-Becker, Diana Mateus, Loïc Peter, Nassir Navab:
Learning Optimization Updates for Multimodal Registration. MICCAI (3) 2016: 19-27 - [c2]Florian Dubost, Loïc Peter, Christian Rupprecht, Benjamín Gutiérrez-Becker, Nassir Navab:
Hands-Free Segmentation of Medical Volumes via Binary Inputs. LABELS/DLMIA@MICCAI 2016: 259-268 - [i2]Martin Simonovsky, Benjamín Gutiérrez-Becker, Diana Mateus, Nassir Navab, Nikos Komodakis:
A Deep Metric for Multimodal Registration. CoRR abs/1609.05396 (2016) - [i1]Florian Dubost, Loïc Peter, Christian Rupprecht, Benjamín Gutiérrez-Becker, Nassir Navab:
Hands-Free Segmentation of Medical Volumes via Binary Inputs. CoRR abs/1609.06192 (2016) - 2014
- [c1]Benjamín Gutiérrez, Diana Mateus, Ehab Shiban, Bernhard Meyer, Jens Lehmberg, Nassir Navab:
A sparse approach to build shape models with routine clinical data. ISBI 2014: 258-261 - 2013
- [j1]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): 1021-1030 (2013)
Coauthor Index
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