Benjamin Gutierrez Becker

 benjamin

About me.

I am a Postdoctoral Research. I have previously done my PhD studies at the Chair of Computer Aided Procedures under the supervision of Nassir Navab. My main research topics are focused on the application of Machine Learning techniques for the analysis and processing of medical images.

Research Interests.

  • Machine Learning for Medical Image Processing
  • Reinforcement Learning applied to Dataset Optimization
  • Statistical Shape Modelling
  • Age Estimation from MR images

Awards.

  • Student Travel Award MICCAI 2016
  • Young Investigator Award MICCAI 2016
  • Student Travel Award MICCAI 2017

Publications

Benjamin ; Sarasua Ignacio ; Wachinger Gutierrez-Becker, Christian

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

In: Medical Image Analysis, 67 , pp. 101852, 2020.

Abstract | Links | BibTeX

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

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

In: Adolescent Brain Cognitive Development Neurocognitive Prediction Challenge (ABCD-NP-Challenge), 2019.

Abstract | Links | BibTeX

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

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

In: Adolescent Brain Cognitive Development Neurocognitive Prediction Challenge (ABCD-NP-Challenge), 2019.

Abstract | Links | BibTeX

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

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

In: Data and Machine Learning Advances with Multiple Views Workshop, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2019.

Abstract | Links | BibTeX

Wachinger, Christian; Becker, Benjamin Gutierrez; Rieckmann, Anna; Pölsterl, Sebastian

Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference Incollection

In: Medical Image Computing and Computer Aided Intervention, 2019.

Abstract | Links | BibTeX

Gutiérrez-Becker, Benjamin; Wachinger, Christian

Learning a Conditional Generative Model for Anatomical Shape Analysis Inproceedings

In: International Conference on Information Processing in Medical Imaging (IPMI), pp. 505–516, Springer 2019.

Links | BibTeX

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

Deep Shape Analysis on Abdominal Organs for Diabetes Prediction Inproceedings

In: International Workshop on Shape in Medical Imaging, pp. 223–231, Springer 2018.

Links | BibTeX

Gutierrez-Becker, Benjamin; Klein, Tassilo; Wachinger, Christian

Deep Multi-Structural Shape Analysis: Application to Neuroanatomy Conference Forthcoming

MICCAI 2018, Forthcoming.

Abstract | Links | BibTeX

Gutierrez-Becker, Benjamin; Klein, Tassilo; Wachinger, Christian

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

In: NeuroImage, 2018.

Abstract | Links | BibTeX

Gutierrez-Becker, Benjamin; Peter, Loic; Klein, Tassilo; Wachinger, Christian

A Multi-Armed Bandit to Smartly Select a Training Set from Big Medical Data Conference

Proceedings of MICCAI 2017, Elsevier, 2017.

Abstract | Links | BibTeX

Gutierrez-Becker, Benjamin; Mateus, Diana; Peter, Loic; Navab, Nassir

Guiding Multimodal Registration with Learned Optimization Updates Journal Article

In: Medical Image Analysis, 2017.

Links | BibTeX

Riva, Marco; Hennersperger, Christoph; Milletari, Fausto; Katouzian, Amin; Pessina, Federico; Gutierrez-Becker, Benjamin; Castellano, Antonella; Navab, Nassir; Bello, Lorenzo

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

In: International Journal of Computer Assisted Radiology and Surgery, pp. 1–15, 2017.

BibTeX

Dubost, Florian; Peter, Loic; Rupprecht, Christian; Gutierrez-Becker, Benjamin; Navab, Nassir

Hands-Free Segmentation of Medical Volumes via Binary Inputs Proceeding

Springer International Publishing 2016.

Links | BibTeX

Gutierrez-Becker, Benjamin; Mateus, Diana; Peter, Loic; Navab, Nassir

Learning Optimization Updates for Multimodal Registration Proceeding

Springer 2016.

Links | BibTeX

Simonovsky, Martin; Gutierrez-Becker, Benjamin; Mateus, Diana; Navab, Nassir; Komodakis, Nikos

A Deep Metric for Multimodal Registration Proceeding

Springer 2016.

Links | BibTeX

Gutierrez-Becker, Benjamin; Mateus, Diana; Shiban, Ehab; Meyer, Bernhard; Lehmberg, Jens; Navab, Nassir

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

IEEE 2014.

BibTeX

Gutierrez-Becker, Benjamin; Cosio, Fernando Arambula; Huerta, Mario E Guzman; Benavides-Serralde, Jesus Andres; Camargo-Marin, Lisbeth; Medina Banuelos, Veronica journal=Medical & biological engineering & computing

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

In: 51 (9), pp. 1021–1030, 2013.

BibTeX

Gutierrez-Becker, Benjamin; Arambula, Fernando; Guzman, Mario; Benavides, Jesus

Automatic segmentation of the cerebellum of fetuses on 3D ultrasound images, using a 3D Point Distribution Model Proceeding

IEEE 2010.

BibTeX