A pre-trained foundation model framework for multiplanar MRI classification of extramural vascular invasion and mesorectal fascia invasion in rectal cancer.
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| Title: | A pre-trained foundation model framework for multiplanar MRI classification of extramural vascular invasion and mesorectal fascia invasion in rectal cancer. |
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| Authors: | Zhang Y; The D-Lab, Department of Precision Medicine, GROW - Research Institute for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands., Mali SA; The D-Lab, Department of Precision Medicine, GROW - Research Institute for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands., Khan D; The D-Lab, Department of Precision Medicine, GROW - Research Institute for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands., Amirrajab S; The D-Lab, Department of Precision Medicine, GROW - Research Institute for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands., Ibor-Crespo E; Research & Frontiers in AI Department, Quantitative Imaging Biomarkers in Medicine, Quibim SL, Valencia, Spain., Jimenez-Pastor A; Research & Frontiers in AI Department, Quantitative Imaging Biomarkers in Medicine, Quibim SL, Valencia, Spain., Ribas G; Biomedical Imaging Research Group, La Fe Health Research Institute, Valencia, Spain., Flor-Arnal S; Biomedical Imaging Research Group, La Fe Health Research Institute, Valencia, Spain., Zerunian M; Radiology Unit, Department of Surgical and Medical Sciences and Translational Medicine, Sapienza University of Rome, Sant'Andrea Hospital, Rome, Italy., Aubé C; Laboratoire HIFIH, Université d'Angers, SFR ICAT 4208, Angers, France.; Department of Radiology, CHU Angers, Angers, France., Martí-Bonmatí L; Biomedical Imaging Research Group, La Fe Health Research Institute, Valencia, Spain.; Medical Imaging Department, La Fe University and Polytechnic Hospital, Valencia, Spain., Salahuddin Z; The D-Lab, Department of Precision Medicine, GROW - Research Institute for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands., Lambin P; The D-Lab, Department of Precision Medicine, GROW - Research Institute for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands. philippe.lambin@maastrichtuniversity.nl.; Department of Radiology and Nuclear Medicine, GROW - Research Institute for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands. philippe.lambin@maastrichtuniversity.nl. |
| Source: | Insights into imaging [Insights Imaging] 2026 May 22; Vol. 17 (1). Date of Electronic Publication: 2026 May 22. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: Germany NLM ID: 101532453 Publication Model: Electronic Cited Medium: Print ISSN: 1869-4101 (Print) Linking ISSN: 18694101 NLM ISO Abbreviation: Insights Imaging Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1869-4101 |
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| DOI: | 10.1186/s13244-026-02296-3 |
