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)

A sparse approach to build shape models with routine clinical data. - Benjamín Gutiérrez; Diana Mateus; Ehab Shiban; Bernhard Meyer; Jens Lehmberg; Nassir Navab (ISBI, 2014)

Hands-Free Segmentation of Medical Volumes via Binary Inputs. - Florian Dubost; Loïc Peter; Christian Rupprecht 001; Benjamín Gutiérrez-Becker; Nassir Navab (LABELS/DLMIA@MICCAI, 2016)

Learning Optimization Updates for Multimodal Registration. - Benjamín Gutiérrez-Becker; Diana Mateus; Loïc Peter; Nassir Navab (MICCAI (3), 2016)

A Deep Metric for Multimodal Registration. - Martin Simonovsky; Benjamín Gutiérrez-Becker; Diana Mateus; Nassir Navab; Nikos Komodakis (MICCAI (3), 2016)

A Multi-armed Bandit to Smartly Select a Training Set from Big Medical Data. - Benjamín Gutiérrez; Loïc Peter; Tassilo Klein; Christian Wachinger (MICCAI (3), 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)

Guiding multimodal registration with learned optimization updates. - Benjamín Gutiérrez-Becker; Diana Mateus; Loïc Peter; Nassir Navab (Medical Image Anal., 2017)

Deep Multi-structural Shape Analysis: Application to Neuroanatomy. - Benjamín Gutiérrez-Becker; Christian Wachinger (MICCAI (3), 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 (ShapeMI@MICCAI, 2018)

Detect, Quantify, and Incorporate Dataset Bias: A Neuroimaging Analysis on 12, 207 Individuals. - Christian Wachinger; Benjamín Gutiérrez-Becker; Anna Rieckmann (CoRR, 2018)

Gaussian process uncertainty in age estimation as a measure of brain abnormality. - Benjamín Gutiérrez-Becker; Tassilo Klein; Christian Wachinger (NeuroImage, 2018)

Learning a Conditional Generative Model for Anatomical Shape Analysis. - Benjamín Gutiérrez-Becker; Christian Wachinger (IPMI, 2019)

Prediction of Fluid Intelligence from T1-Weighted Magnetic Resonance Images. - Sebastian Pölsterl; Benjamín Gutiérrez-Becker; Ignacio Sarasua; Abhijit Guha Roy; Christian Wachinger (ABCD-NP@MICCAI, 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 (ABCD-NP@MICCAI, 2019)

Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference. - Christian Wachinger; Benjamín Gutiérrez-Becker; Anna Rieckmann; Sebastian Pölsterl (MICCAI (4), 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 (PKDD/ECML Workshops (1), 2019)

Discriminative and Generative Models for Anatomical Shape Analysison Point Clouds with Deep Neural Networks. - Benjamín Gutiérrez-Becker; Ignacio Sarasua; Christian Wachinger (CoRR, 2020)

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)

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)

Unsupervised Segmentation of Colonoscopy Images. - Heming Yao; Jérôme Lüscher; Benjamín Gutiérrez-Becker; Josep Arús-Pous; Tommaso Biancalani; Amelie Bigorgne; David Richmond (CoRR, 2023)

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 (CaPTion@MICCAI, 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; et al. (Comput. Medical Imaging Graph., 2024)