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Explainability-informed benchmarking of two deep learning models for organ-at-risk segmentation in MR-guided adaptive radiotherapy.

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Title: Explainability-informed benchmarking of two deep learning models for organ-at-risk segmentation in MR-guided adaptive radiotherapy.
Authors: Sekkat H; Laboratory of Sciences and Engineering of Biomedicals, Biophysics and Health, Higher Institute of Health Sciences, Hassan 1st University, Settat, Morocco; Higher Institute of Nursing Professions and Health Techniques, Rabat, Morocco. Electronic address: sekkat.isss@uhp.ac.ma., Khallouqi A; Laboratory of Sciences and Engineering of Biomedicals, Biophysics and Health, Higher Institute of Health Sciences, Hassan 1st University, Settat, Morocco; Public Hospital of Mediouna, Department of Radiology, Mediouna, Morocco; Private Hospital of Hay Mouhamadi, Department of Radiology, Casablanca, Morocco., Hammouga Y; Laboratory of Sciences and Engineering of Biomedicals, Biophysics and Health, Higher Institute of Health Sciences, Hassan 1st University, Settat, Morocco., Halimi A; Laboratory of Sciences and Engineering of Biomedicals, Biophysics and Health, Higher Institute of Health Sciences, Hassan 1st University, Settat, Morocco., El Mouden O; Laboratory of Sciences and Engineering of Biomedicals, Biophysics and Health, Higher Institute of Health Sciences, Hassan 1st University, Settat, Morocco; International Hospital of Settat, Department of Radiotherapy, Settat, Morocco., Bannan A; Laboratory of Sciences and Engineering of Biomedicals, Biophysics and Health, Higher Institute of Health Sciences, Hassan 1st University, Settat, Morocco; International Hospital of Settat, Department of Radiotherapy, Settat, Morocco., Berrada Y; International Hospital of Settat, Department of Radiotherapy, Settat, Morocco; Faculty of Medicine and Pharmacy, Hassan II University of Casablanca, Casablanca, Morocco., El Rhazouani O; Laboratory of Sciences and Engineering of Biomedicals, Biophysics and Health, Higher Institute of Health Sciences, Hassan 1st University, Settat, Morocco.
Source: Journal of medical imaging and radiation sciences [J Med Imaging Radiat Sci] 2026 May; Vol. 57 (3), pp. 102200. Date of Electronic Publication: 2026 Feb 13.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 101469694 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1876-7982 (Electronic) Linking ISSN: 18767982 NLM ISO Abbreviation: J Med Imaging Radiat Sci Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Explainability-informed benchmarking of two deep learning models for organ-at-risk segmentation in MR-guided adaptive radiotherapy.
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  Data: <searchLink fieldCode="AU" term="%22Sekkat+H%22">Sekkat H</searchLink>; Laboratory of Sciences and Engineering of Biomedicals, Biophysics and Health, Higher Institute of Health Sciences, Hassan 1st University, Settat, Morocco; Higher Institute of Nursing Professions and Health Techniques, Rabat, Morocco. Electronic address: sekkat.isss@uhp.ac.ma.<br /><searchLink fieldCode="AU" term="%22Khallouqi+A%22">Khallouqi A</searchLink>; Laboratory of Sciences and Engineering of Biomedicals, Biophysics and Health, Higher Institute of Health Sciences, Hassan 1st University, Settat, Morocco; Public Hospital of Mediouna, Department of Radiology, Mediouna, Morocco; Private Hospital of Hay Mouhamadi, Department of Radiology, Casablanca, Morocco.<br /><searchLink fieldCode="AU" term="%22Hammouga+Y%22">Hammouga Y</searchLink>; Laboratory of Sciences and Engineering of Biomedicals, Biophysics and Health, Higher Institute of Health Sciences, Hassan 1st University, Settat, Morocco.<br /><searchLink fieldCode="AU" term="%22Halimi+A%22">Halimi A</searchLink>; Laboratory of Sciences and Engineering of Biomedicals, Biophysics and Health, Higher Institute of Health Sciences, Hassan 1st University, Settat, Morocco.<br /><searchLink fieldCode="AU" term="%22El+Mouden+O%22">El Mouden O</searchLink>; Laboratory of Sciences and Engineering of Biomedicals, Biophysics and Health, Higher Institute of Health Sciences, Hassan 1st University, Settat, Morocco; International Hospital of Settat, Department of Radiotherapy, Settat, Morocco.<br /><searchLink fieldCode="AU" term="%22Bannan+A%22">Bannan A</searchLink>; Laboratory of Sciences and Engineering of Biomedicals, Biophysics and Health, Higher Institute of Health Sciences, Hassan 1st University, Settat, Morocco; International Hospital of Settat, Department of Radiotherapy, Settat, Morocco.<br /><searchLink fieldCode="AU" term="%22Berrada+Y%22">Berrada Y</searchLink>; International Hospital of Settat, Department of Radiotherapy, Settat, Morocco; Faculty of Medicine and Pharmacy, Hassan II University of Casablanca, Casablanca, Morocco.<br /><searchLink fieldCode="AU" term="%22El+Rhazouani+O%22">El Rhazouani O</searchLink>; Laboratory of Sciences and Engineering of Biomedicals, Biophysics and Health, Higher Institute of Health Sciences, Hassan 1st University, Settat, Morocco.
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  Data: <searchLink fieldCode="JN" term="%22101469694%22">Journal of medical imaging and radiation sciences</searchLink> [J Med Imaging Radiat Sci] 2026 May; Vol. 57 (3), pp. 102200. <i>Date of Electronic Publication: </i>2026 Feb 13.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101469694 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1876-7982 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2218767982%22">18767982 </searchLink><i>NLM ISO Abbreviation: </i>J Med Imaging Radiat Sci <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.jmir.2026.102200
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        Text: English
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              Text: 2026 May
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