Rapid patient-specific neural networks for intraoperative X-ray to volume registration.

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Bibliographic Details
Title: Rapid patient-specific neural networks for intraoperative X-ray to volume registration.
Authors: Gopalakrishnan V; Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA.; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA.; Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA., Dey N; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA., Chlorogiannis DD; Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA., Abumoussa A; Department of Neurosurgery, University of North Carolina School of Medicine, Chapel Hill, NC, USA., Larson AM; Department of Interventional Neuroradiology, Boston Children's Hospital, Boston, MA, USA., Orbach DB; Department of Interventional Neuroradiology, Boston Children's Hospital, Boston, MA, USA., Frisken S; Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA., Golland P; Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA.; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA.
Source: ArXiv [ArXiv] 2025 Mar 20. Date of Electronic Publication: 2025 Mar 20.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101759493 Publication Model: Electronic Cited Medium: Internet ISSN: 2331-8422 (Electronic) Linking ISSN: 23318422 NLM ISO Abbreviation: ArXiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2331-8422