Search Results for author: Ran Lu

Found 8 papers, 3 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.

Semantic Segmentation

Large-scale image segmentation based on distributed clustering algorithms

no code implementations21 Jun 2021 Ran Lu, Aleksandar Zlateski, H. Sebastian Seung

Many approaches to 3D image segmentation are based on hierarchical clustering of supervoxels into image regions.

Chunking Semantic Segmentation

Learning and Segmenting Dense Voxel Embeddings for 3D Neuron Reconstruction

no code implementations21 Sep 2019 Kisuk Lee, Ran Lu, Kyle Luther, H. Sebastian Seung

We show dense voxel embeddings learned via deep metric learning can be employed to produce a highly accurate segmentation of neurons from 3D electron microscopy images.

Electron Microscopy Metric Learning

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.

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