Benjamín Gutiérrez-Becker | DeepAI

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∙ 10/02/2020

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

We introduce deep neural networks for the analysis of anatomical shapes ...

0 Benjamín Gutiérrez-Becker, et al. ∙

∙ 09/09/2019

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

We introduce a wide and deep neural network for prediction of progressio...

0 Sebastian Pölsterl, et al. ∙

∙ 07/09/2019

Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference

Neuroimaging datasets keep growing in size to address increasingly compl...

0 Christian Wachinger, et al. ∙

∙ 08/06/2018

Deep Shape Analysis on Abdominal Organs for Diabetes Prediction

Morphological analysis of organs based on images is a key task in medica...

0 Benjamín Gutiérrez-Becker, et al. ∙

∙ 06/04/2018

Deep Multi-Structural Shape Analysis: Application to Neuroanatomy

We propose a deep neural network for supervised learning on neuroanatomi...

0 Benjamín Gutiérrez-Becker, et al. ∙

∙ 04/28/2018

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

Neuroimaging datasets keep growing in size to address increasingly compl...

0 Christian Wachinger, et al. ∙

∙ 04/04/2018

Gaussian Process Uncertainty in Age Estimation as a Measure of Brain Abnormality

Multivariate regression models for age estimation are a powerful tool fo...

0 Benjamín Gutiérrez-Becker, et al. ∙

∙ 09/20/2016

Hands-Free Segmentation of Medical Volumes via Binary Inputs

We propose a novel hands-free method to interactively segment 3D medical...

0 Florian Dubost, et al. ∙

∙ 09/17/2016

A Deep Metric for Multimodal Registration

Multimodal registration is a challenging problem in medical imaging due ...

0 Martin Simonovsky, et al. ∙

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