6 Result(s)
within
Arvid Lundervold
Computer Science
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Chapter and Conference Paper
Brain Tumor Segmentation from Multiparametric MRI Using a Multi-encoder U-Net Architecture
This paper describes our submission to Task 1 of the RSNA-ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2021, where the goal is to segment brain glioblastoma sub-regions in multi-parametric MRI scans....
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Chapter and Conference Paper
Deep Convolutional Neural Networks in Application to Kidney Segmentation in the DCE-MR Images
This paper evaluates three convolutional neural network architectures – U-Net, SegNet, and Fully Convolutional (FC) DenseNets – in application to kidney segmentation in the dynamic contrast-enhanced magnetic r...
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Chapter and Conference Paper
Hypothesis Generation by Interactive Visual Exploration of Heterogeneous Medical Data
High dimensional, heterogeneous datasets are challenging for domain experts to analyze. A very large number of dimensions often pose problems when visual and computational analysis tools are considered. Analys...
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Chapter and Conference Paper
Flow Quantification from 2D Phase Contrast MRI in Renal Arteries Using Clustering
We present an approach based on clustering to segment renal arteries from 2D PC Cine MR images to measure blood velocity and flow. Such information are important in grading renal artery stenosis and support th...
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Chapter and Conference Paper
Level Set Methods for Watershed Image Segmentation
In this work a marker-controlled and regularized watershed segmentation is proposed. Only a few previous studies address the task of regularizing the obtained watershed lines from the traditional marker-contro...
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Chapter and Conference Paper
Diffusion k-tensor Estimation from Q-ball Imaging Using Discretized Principal Axes
A reoccurring theme in the diffusion tensor imaging literature is the per-voxel estimation of a symmetric 3 ×3 tensor describing the measured diffusion. In this work we attempt to generalize this approach by c...
