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Deep Learning Myocardial Segmentation in 3D Whole-Heart Joint T1/T2 Mapping: Comparison of nnU-Net and MA-SAM.

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Bibliographic Details
Title:	Deep Learning Myocardial Segmentation in 3D Whole-Heart Joint T1/T2 Mapping: Comparison of nnU-Net and MA-SAM.
Authors:	Rivera GC; IMPACT, Center of Interventional Medicine for Precision and Advanced Cellular Therapy, Santiago, Chile.; Millennium Institute for Intelligent Healthcare Engineering iHEALTH, Santiago, Chile.; Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile., Hua A; School of Biomedical Engineering, King's College London, London, UK., Botnar RM; IMPACT, Center of Interventional Medicine for Precision and Advanced Cellular Therapy, Santiago, Chile.; Millennium Institute for Intelligent Healthcare Engineering iHEALTH, Santiago, Chile.; Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile.; School of Biomedical Engineering, King's College London, London, UK.; School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile., Prieto C; IMPACT, Center of Interventional Medicine for Precision and Advanced Cellular Therapy, Santiago, Chile.; Millennium Institute for Intelligent Healthcare Engineering iHEALTH, Santiago, Chile.; School of Biomedical Engineering, King's College London, London, UK.; School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile.
Source:	NMR in biomedicine [NMR Biomed] 2026 Apr; Vol. 39 (4), pp. e70252.
Publication Type:	Journal Article; Comparative Study
Journal Info:	Publisher: Wiley Country of Publication: England NLM ID: 8915233 Publication Model: Print Cited Medium: Internet ISSN: 1099-1492 (Electronic) Linking ISSN: 09523480 NLM ISO Abbreviation: NMR Biomed Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1099-1492
DOI:	10.1002/nbm.70252