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ARANet: Adaptive Resolution Attention Network for Precise MRI-Based Segmentation and Quantification of Fetal Size and Amniotic Fluid Volume.

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Title: ARANet: Adaptive Resolution Attention Network for Precise MRI-Based Segmentation and Quantification of Fetal Size and Amniotic Fluid Volume.
Authors: Alkhadrawi, Adham M.1, adhamalk@hawaii.edu, Peña-Trujillo, Valeria2, vpenatrujillo@mgh.harvard.edu, Gallo-Bernal, Sebastian2, sebgal1230@gmail.com, Gee, Michael S.1, msgee@mgh.harvard.edu, Cobos, Camilo E. Jaimes2, cjaimescobos@mgb.org, Kim, Kyungsu3,4, kyskim@snu.ac.kr, Langarica, Saul1,5, salangarica@uc.cl, Kim, Young-Tak1, ytkim@mgh.harvard.edu, Victoria, Teresa2, tvictoria1@mgh.harvard.edu, Do, Synho1,6,7, sdo@mgh.harvard.edu
Source: Journal of Imaging Informatics in Medicine; Apr2026, Vol. 39 Issue 2, p1202-1216, 15p
Database: Applied Science & Technology Source
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An: 193167809
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Imaging+Informatics+in+Medicine%22">Journal of Imaging Informatics in Medicine</searchLink>; Apr2026, Vol. 39 Issue 2, p1202-1216, 15p
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        Value: 10.1007/s10278-025-01556-w
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      – TitleFull: ARANet: Adaptive Resolution Attention Network for Precise MRI-Based Segmentation and Quantification of Fetal Size and Amniotic Fluid Volume.
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            – D: 01
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              Text: Apr2026
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              Y: 2026
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