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David Bouget

3 papers here

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

author position
  • first author1
  • middle author1
  • last author1

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

fields
  • eess.IV2
  • physics.med-ph1
ORCID 0000-0002-5669-9514

identity via Semantic Scholar / OpenAlex

most citedSegmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks

3 citations · 6 across the 3 of their papers we have counts for

collaborators

3 papers

physics.med-ph2023★ 2 cited

Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reporting

David Bouget, Demah Alsinan, Valeria Gaitan +4

For patients suffering from central nervous system tumors, prognosis estimation, treatment decisions, and postoperative assessments are made from the analysis of a set of magnetic…

eess.IV2023★ 3 cited

Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks

Ragnhild Holden Helland, Alexandros Ferles, André Pedersen +30

Extent of resection after surgery is one of the main prognostic factors for patients diagnosed with glioblastoma. To achieve this, accurate segmentation and classification of resid…

eess.IV2021★ 1 cited

Hybrid guiding: A multi-resolution refinement approach for semantic segmentation of gigapixel histopathological images

André Pedersen, Erik Smistad, Tor V. Rise +6

Histopathological cancer diagnostics has become more complex, and the increasing number of biopsies is a challenge for most pathology laboratories. Thus, development of automatic m…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.