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researcher

Chloé Najac

3 papers here

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

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • physics.med-ph2
  • eess.IV1
ORCID 0000-0002-7804-2281

identity via Semantic Scholar / OpenAlex

most citedDiffusion-weighted MR spectroscopy: consensus, recommendations and resources from acquisition to modelling

8 citations · 9 across the 3 of their papers we have counts for

collaborators

3 papers

physics.med-ph2025

Physics-Informed Deep Unrolled Network for Portable MR Image Reconstruction

Efe Ilıcak, Chinmay Rao, Chloé Najac +6

Magnetic resonance imaging (MRI) is the gold standard imaging modality for numerous diagnostic tasks, yet its usefulness is tempered due to its high cost and infrastructural requir…

eess.IV2025★ 1 cited

Deep learning of personalized priors from past MRI scans enables fast, quality-enhanced point-of-care MRI with low-cost systems

Tal Oved, Beatrice Lena, Chloé F. Najac +4

Magnetic resonance imaging (MRI) offers superb-quality images, but its accessibility is limited by high costs, posing challenges for patients requiring longitudinal care. Low-field…

physics.med-ph2023★ 8 cited

Diffusion-weighted MR spectroscopy: consensus, recommendations and resources from acquisition to modelling

Clémence Ligneul, Chloé Najac, André Döring +24

Brain cell structure and function reflect neurodevelopment, plasticity and ageing, and changes can help flag pathological processes such as neurodegeneration and neuroinflammation.…

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