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pro vyhledávání: '"Pedersen, Jesper H"'
Autor:
Selvan, Raghavendra, Kipf, Thomas, Welling, Max, Juarez, Antonio Garcia-Uceda, Pedersen, Jesper H, Petersen, Jens, de Bruijne, Marleen
Graph refinement, or the task of obtaining subgraphs of interest from over-complete graphs, can have many varied applications. In this work, we extract trees or collection of sub-trees from image data by, first deriving a graph-based representation o
Externí odkaz:
http://arxiv.org/abs/1811.08674
In this work, we adapt a method based on multiple hypothesis tracking (MHT) that has been shown to give state-of-the-art vessel segmentation results in interactive settings, for the purpose of extracting trees. Regularly spaced tubular templates are
Externí odkaz:
http://arxiv.org/abs/1806.08981
Autor:
Selvan, Raghavendra, Kipf, Thomas, Welling, Max, Pedersen, Jesper H., Petersen, Jens, de Bruijne, Marleen
We present extraction of tree structures, such as airways, from image data as a graph refinement task. To this end, we propose a graph auto-encoder model that uses an encoder based on graph neural networks (GNNs) to learn embeddings from input node f
Externí odkaz:
http://arxiv.org/abs/1804.04436
We present tree extraction in 3D images as a graph refinement task, of obtaining a subgraph from an over-complete input graph. To this end, we formulate an approximate Bayesian inference framework on undirected graphs using mean field approximation (
Externí odkaz:
http://arxiv.org/abs/1804.03348
Segmenting tree structures is common in several image processing applications. In medical image analysis, reliable segmentations of airways, vessels, neurons and other tree structures can enable important clinical applications. We present a framework
Externí odkaz:
http://arxiv.org/abs/1708.02096
Knowledge of airway tree morphology has important clinical applications in diagnosis of chronic obstructive pulmonary disease. We present an automatic tree extraction method based on multiple hypothesis tracking and template matching for this purpose
Externí odkaz:
http://arxiv.org/abs/1611.08131
Autor:
Hoyer, Nils, Wille, Mathilde M.W., Thomsen, Laura H., Wilcke, Torgny, Dirksen, Asger, Pedersen, Jesper H., Saghir, Zaigham, Ashraf, Haseem, Shaker, Saher B.
Publikováno v:
In Respiratory Medicine March 2018 136:77-82
Autor:
Hoyer, Nils, Thomsen, Laura H, Wille, Mathilde M W, Wilcke, Torgny, Dirksen, Asger, Pedersen, Jesper H, Saghir, Zaigham, Ashraf, Haseem, Shaker, Saher B
Publikováno v:
BMC Pulmonary Medicine. 2020 Mar 19;20(1):67
Externí odkaz:
http://hdl.handle.net/10852/74180
https://www.duo.uio.no/bitstream/handle/10852/74180/1/12890_2020_Article_1107.pdf
https://www.duo.uio.no/bitstream/handle/10852/74180/1/12890_2020_Article_1107.pdf
Autor:
Hoyer, Nils, Thomsen, Laura H., Wille, Mathilde M. W., Wilcke, Torgny, Dirksen, Asger, Pedersen, Jesper H., Zaigham Saghir, Haseem Ashraf, Shaker, Saher B.
Additional file 1: Supplementary Figure 1. Flowchart of inclusion of patients in the follow-up study. DLCST. Danish lung cancer screening trial. Supplementary Figure 2. Expected number of hospital admissions in participants with ILA and without ILA r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8dfa95cd4ea951d9e4bdb57707d0355c
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