Application of Convolutional Neural Network Denoising to Improve Conebeam CT Myelographic Images.

Saved in:
Bibliographic Details
Title: Application of Convolutional Neural Network Denoising to Improve Conebeam CT Myelographic Images.
Authors: Madhavan AA; From the Department of Radiology, Division of Neuroradiology (A.A.M., Z.Z., J.T., M.L.K., I.T.M., B.A.S., L.U.), Mayo Clinic, Rochester, Minnesota madhavan.ajay@mayo.edu., Zhou Z; From the Department of Radiology, Division of Neuroradiology (A.A.M., Z.Z., J.T., M.L.K., I.T.M., B.A.S., L.U.), Mayo Clinic, Rochester, Minnesota., Thorne J; From the Department of Radiology, Division of Neuroradiology (A.A.M., Z.Z., J.T., M.L.K., I.T.M., B.A.S., L.U.), Mayo Clinic, Rochester, Minnesota., Kodet ML; From the Department of Radiology, Division of Neuroradiology (A.A.M., Z.Z., J.T., M.L.K., I.T.M., B.A.S., L.U.), Mayo Clinic, Rochester, Minnesota., Cutsforth-Gregory JK; Department of Neurology (J.K.C.-G.), Mayo Clinic, Rochester, Minnesota., Schievink WI; Department of Neurosurgery (W.I.S.), Cedars-Sinai Medical Center, Los Angeles, California., Mark IT; From the Department of Radiology, Division of Neuroradiology (A.A.M., Z.Z., J.T., M.L.K., I.T.M., B.A.S., L.U.), Mayo Clinic, Rochester, Minnesota., Schueler BA; From the Department of Radiology, Division of Neuroradiology (A.A.M., Z.Z., J.T., M.L.K., I.T.M., B.A.S., L.U.), Mayo Clinic, Rochester, Minnesota., Yu L; From the Department of Radiology, Division of Neuroradiology (A.A.M., Z.Z., J.T., M.L.K., I.T.M., B.A.S., L.U.), Mayo Clinic, Rochester, Minnesota.
Source: AJNR. American journal of neuroradiology [AJNR Am J Neuroradiol] 2026 Jan 05; Vol. 47 (1), pp. 234-237. Date of Electronic Publication: 2026 Jan 05.
Publication Type: Journal Article
Journal Info: Publisher: American Society of Neuroradiology Country of Publication: United States NLM ID: 8003708 Publication Model: Electronic Cited Medium: Internet ISSN: 1936-959X (Electronic) Linking ISSN: 01956108 NLM ISO Abbreviation: AJNR Am J Neuroradiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1936-959X
DOI:10.3174/ajnr.A8877