The Image-to-Physical Liver Registration Sparse Data Challenge: comparison of state-of-the-art using a common dataset.

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Bibliographic Details
Title: The Image-to-Physical Liver Registration Sparse Data Challenge: comparison of state-of-the-art using a common dataset.
Authors: Heiselman JS; Vanderbilt University, Department of Biomedical Engineering, Nashville, Tennessee, United States.; Memorial Sloan Kettering Cancer Center, Department of Surgery, Hepatopancreatobiliary Unit, New York, New York, United States., Collins JA; Vanderbilt University, Department of Biomedical Engineering, Nashville, Tennessee, United States., Ringel MJ; Vanderbilt University, Department of Biomedical Engineering, Nashville, Tennessee, United States., Peter Kingham T; Memorial Sloan Kettering Cancer Center, Department of Surgery, Hepatopancreatobiliary Unit, New York, New York, United States., Jarnagin WR; Memorial Sloan Kettering Cancer Center, Department of Surgery, Hepatopancreatobiliary Unit, New York, New York, United States., Miga MI; Vanderbilt University, Department of Biomedical Engineering, Nashville, Tennessee, United States.
Source: Journal of medical imaging (Bellingham, Wash.) [J Med Imaging (Bellingham)] 2024 Jan; Vol. 11 (1), pp. 015001. Date of Electronic Publication: 2024 Jan 08.
Publication Type: Journal Article
Journal Info: Publisher: Society of Photo-Optical Instrumentation Engineers Country of Publication: United States NLM ID: 101643461 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2329-4302 (Print) Linking ISSN: 23294302 NLM ISO Abbreviation: J Med Imaging (Bellingham) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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