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Algebraic topology-based machine learning using MRI predicts outcomes in primary sclerosing cholangitis.

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第一作者: Yashbir,Singh
第一单位: Radiology, Mayo Clinic, Rochester, MN, USA.
作者单位: Radiology, Mayo Clinic, Rochester, MN, USA. [1] Radiology, Mayo Clinic, Rochester, MN, USA.;Biomedical Engineering and Physiology Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Rochester, USA. [2] Division of Gastroenterology & Hepatology, Mayo Clinic, Rochester, MN, USA. [3] Department of Medicine, Haraldsplass Deaconess Hospital, and Department of Clinical Science, University of Bergen, Bergen, Norway.;Norwegian PSC Research Center, Department of Transplantation Medicine, Division of Surgery, Inflammatory Medicine and Transplantation, Oslo University Hospital Rikshospitalet, Oslo, Norway. [4] Norwegian PSC Research Center, Department of Transplantation Medicine, Division of Surgery, Inflammatory Medicine and Transplantation, Oslo University Hospital Rikshospitalet, Oslo, Norway. [5] Department of Radiology, Oslo University Hospital, Oslo, Norway. [6] Norwegian PSC Research Center, Department of Transplantation Medicine, Division of Surgery, Inflammatory Medicine and Transplantation, Oslo University Hospital Rikshospitalet, Oslo, Norway.;Department of Gastroenterology, Akershus University Hospital, Nordbyhagen, Norway. [7] Toronto Centre for Liver Disease, University Health Network and Department of Medicine, University of Toronto, Toronto, Ontario, Canada. [8] Department of Radiology, Haukeland University Hospital, Bergen, Norway. [9] Institute of Clinical Medicine, University of Oslo, Oslo, Norway.;Department of Diagnostic Imaging, Akershus University Hospital, Lørenskog, Norway. [10] Radiology, Mayo Clinic, Rochester, MN, USA. bje@mayo.edu. [11]
DOI 10.1186/s41747-022-00312-x
PMID 36396865
发布时间 2024-09-07
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European radiology experimental

European radiology experimental

2022年6卷1期

58页

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