Deep learning-based frame synthesis enables radiation dose reduction in digital subtraction angiography imaging: a multicenter study.
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| Title: | Deep learning-based frame synthesis enables radiation dose reduction in digital subtraction angiography imaging: a multicenter study. |
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| Authors: | Liu R; College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China.; Department of Neurosurgery, General Hospital of Northern Theater Command, Shenyang, China., Zhang R; College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China.; Department of Neurosurgery, General Hospital of Northern Theater Command, Shenyang, China., Qian W; College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China., Liang G; Department of Neurosurgery, General Hospital of Northern Theater Command, Shenyang, China., Chu G; Department of Neurosurgery, General Hospital of Northern Theater Command, Shenyang, China., Han Y; Department of Neurosurgery, General Hospital of Northern Theater Command, Shenyang, China., Xu X; Neurointerventional Department, 242 Hospital Affiliated to Shenyang Medical College, Shenyang, China., Jin H; Department of Neurosurgery, General Hospital of Northern Theater Command, Shenyang, China., Chen L; Department of Neurosurgery, General Hospital of Northern Theater Command, Shenyang, China., Li J; Department of Neurology, The Fourth Affiliated Hospital of China Medical University, Shenyang, China., Ma H; College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China. |
| Source: | Frontiers in medicine [Front Med (Lausanne)] 2026 May 15; Vol. 13, pp. 1793962. Date of Electronic Publication: 2026 May 15 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101648047 Publication Model: eCollection Cited Medium: Print ISSN: 2296-858X (Print) Linking ISSN: 2296858X NLM ISO Abbreviation: Front Med (Lausanne) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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