Benjamín Gutiérrez-Becker

CoRR, 2023

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

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2023

2021

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

[BibT_eX]

[DOI]

Medical Image Anal., 2021

2020

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

[BibT_eX]

[DOI]

CoRR, 2020

2019

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

[BibT_eX]

[DOI]

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

Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference.

[BibT_eX]

[DOI]

Anna Rieckmann

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.

[BibT_eX]

[DOI]

Abhijit Guha Roy

Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019

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

[BibT_eX]

[DOI]

Abhijit Guha Roy

Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019

Learning a Conditional Generative Model for Anatomical Shape Analysis.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2019

2018

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

[BibT_eX]

[DOI]

Tassilo Klein

NeuroImage, 2018

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

[BibT_eX]

[DOI]

Anna Rieckmann

CoRR, 2018

Deep Shape Analysis on Abdominal Organs for Diabetes Prediction.

[BibT_eX]

[DOI]

Proceedings of the Shape in Medical Imaging, 2018

Deep Multi-structural Shape Analysis: Application to Neuroanatomy.

[BibT_eX]

[DOI]

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

2017

Guiding multimodal registration with learned optimization updates.

[BibT_eX]

[DOI]

Diana Mateus

Loïc Peter

Medical Image Anal., 2017

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

[BibT_eX]

[DOI]

Marco Riva

Christoph Hennersperger

Fausto Milletari

Amin Katouzian

Federico Pessina

Antonella Castellano

Lorenzo Bello

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

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

[BibT_eX]

[DOI]

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

2016

A Deep Metric for Multimodal Registration.

[BibT_eX]

[DOI]

Martin Simonovsky

Diana Mateus

Nikos Komodakis

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

Learning Optimization Updates for Multimodal Registration.

[BibT_eX]

[DOI]

Diana Mateus

Loïc Peter

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

Hands-Free Segmentation of Medical Volumes via Binary Inputs.

[BibT_eX]

[DOI]

Florian Dubost

Loïc Peter

Christian Rupprecht

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

2014

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]