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Sune Darkner

As seen in: PLOS ONE, MDPI, Cell Press
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Articles

Deep-Learning-Based Segmentation of Individual Tooth and Bone With Periodontal Ligament Interface Details for Simulation Purposes

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By Sune Darkner, Peidi Xu, Torkan Gholamalizadeh, Faezeh Moshfeghifar
| ieeexplore.ieee.org
Accurate segmentation of medical images of a human jaw, such as cone beam computed tomography (CBCT) scans, is crucial in creating patient-specific preoperative and predictive finite element (FE) models that improve the design of implants and treatments [30]. A key aspect in the development of FE models is having a precise geometric representation of anatomical structures [21].
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Collision-constrained deformable image registration framework for discontinuity management

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By Thomas Alscher, Kenny Erleben, Sune Darkner
| paperity.org
PLOS ONE, Aug 2023 Topological changes like sliding motion, sources and sinks are a significant challenge in image registration. This work proposes the use of the alternating direction method of multipliers as a general framework for constraining the registration of separate objects with individual deformation fields from overlapping in image registration.
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Collision-constrained deformable image registration framework for discontinuity management

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By Thomas Alscher, Region Hovedstaden, Kenny Erleben, Sune Darkner
| PLOS ONE
Loading metrics Open Access Peer-reviewed Research Article Citation: Alscher T, Erleben K, Darkner S (2023) Collision-constrained deformable image registration framework for discontinuity management. PLoS ONE 18(8): e0290243. https://doi.org/10.1371/journal.pone.0290243 Editor: Balaji K, VIT University, INDIA Received: August 29, 2022; Accepted: August 3, 2023; Published: August 18, 2023 Copyright: © 2023 Alscher et al.
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