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researcher

V. Gudnason

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.IV2
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20182022
most citedAutomated femur segmentation from computed tomography images using a deep neural network

6 citations · 7 across the 2 of their papers we have counts for

collaborators

3 papers

cs.LG2022★ 1 cited

A New Hip Fracture Risk Index Derived from FEA-Computed Proximal Femur Fracture Loads and Energies-to-Failure

Xuewei Cao, Joyce H Keyak, Sigurdur Sigurdsson +7

Hip fracture risk assessment is an important but challenging task. Quantitative CT-based patient specific finite element analysis (FEA) computes the force (fracture load) to break…

eess.IV2021★ 6 cited

Automated femur segmentation from computed tomography images using a deep neural network

P. A. Bjornsson, B. Helgason, H. Palsson +3

Osteoporosis is a common bone disease that occurs when the creation of new bone does not keep up with the loss of old bone, resulting in increased fracture risk. Adults over the ag…

eess.IV2018

Unsupervised brain lesion segmentation from MRI using a convolutional autoencoder

Hans E. Atlason, Askell Love, Sigurdur Sigurdsson +2

Lesions that appear hyperintense in both Fluid Attenuated Inversion Recovery (FLAIR) and T2-weighted magnetic resonance images (MRIs) of the human brain are common in the brains of…

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