Search Results for author: Santiago Estrada

Found 6 papers, 4 papers with code

Automated Olfactory Bulb Segmentation on High Resolutional T2-Weighted MRI

1 code implementation9 Aug 2021 Santiago Estrada, Ran Lu, Kersten Diers, Weiyi Zeng, Philipp Ehses, Tony Stöcker, Monique M. B Breteler, Martin Reuter

The neuroimage analysis community has neglected the automated segmentation of the olfactory bulb (OB) despite its crucial role in olfactory function.

Segmentation Semantic Segmentation +1

FastSurfer -- A fast and accurate deep learning based neuroimaging pipeline

1 code implementation9 Oct 2019 Leonie Henschel, Sailesh Conjeti, Santiago Estrada, Kersten Diers, Bruce Fischl, Martin Reuter

In this work we propose a fast and accurate deep learning based neuroimaging pipeline for the automated processing of structural human brain MRI scans, replicating FreeSurfer's anatomical segmentation including surface reconstruction and cortical parcellation.

Brain Segmentation Segmentation +1

FatSegNet : A Fully Automated Deep Learning Pipeline for Adipose Tissue Segmentation on Abdominal Dixon MRI

1 code implementation3 Apr 2019 Santiago Estrada, Ran Lu, Sailesh Conjeti, Ximena Orozco-Ruiz, Joana Panos-Willuhn, Monique M. B Breteler, Martin Reuter

Purpose: Development of a fast and fully automated deep learning pipeline (FatSegNet) to accurately identify, segment, and quantify abdominal adipose tissue on Dixon MRI from the Rhineland Study - a large prospective population-based study.

Competition vs. Concatenation in Skip Connections of Fully Convolutional Networks

no code implementations20 Jul 2018 Santiago Estrada, Sailesh Conjeti, Muneer Ahmad, Nassir Navab, Martin Reuter

Increased information sharing through short and long-range skip connections between layers in fully convolutional networks have demonstrated significant improvement in performance for semantic segmentation.

Segmentation Semantic Segmentation

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