Characterizing the ADPKD-IFT140 Phenotypic Signature With Deep Learning and Advanced Imaging Biomarkers
We provide a detailed characterization of the ADPKD<i>-IFT140</i> phenotype that can be distinguished using a practical or deep-learning segmentation model applicable in diverse clinical settings.
Authors
- Peter C. Harris (ORCID: https://orcid.org/0000-0002-5304-6593)
- Abdul Hamid Borghol
- Abdul Basit (ORCID: https://orcid.org/0000-0002-1164-5520)
- Timothy L. Kline (ORCID: https://orcid.org/0000-0002-7917-9853)
- Adriana Gregory (ORCID: https://orcid.org/0000-0001-9760-5302)
- Nikola Zagorec (ORCID: https://orcid.org/0000-0002-6816-5587)
- Fouad T. Chebib (ORCID: https://orcid.org/0000-0002-3949-5720)
- Neera K. Dahl (ORCID: https://orcid.org/0000-0001-5809-9961)
- Byron H. Smith (ORCID: https://orcid.org/0000-0001-9318-2437)
- Mikhail D. Antoun
- Vicente E. Torres (ORCID: https://orcid.org/0000-0003-2008-1576)
- Nader D. Nader (ORCID: https://orcid.org/0000-0002-5744-7319)
- Christian Hanna (ORCID: https://orcid.org/0000-0002-9956-8696)
- Hana Yang (ORCID: https://orcid.org/0000-0002-7008-6837)
- Amanda L. Tapia (ORCID: https://orcid.org/0000-0001-7348-7372)
- Émilie Cornec-Le Gall (ORCID: https://orcid.org/0000-0003-1958-4459)
- Ahmad Ghanem (ORCID: https://orcid.org/0000-0002-4925-2677)
- S. Paul (ORCID: https://orcid.org/0000-0003-0001-7294)
- Fadi George Munairdjy Debeh (ORCID: https://orcid.org/0009-0001-0581-1211)
- R. Schauer
- Bassel Alkhatib
Institutions
- Mayo Clinic (US)
- University Hospital Dubrava (HR)
- Mayo Clinic in Florida (US)
Publication Details
- Journal
- Kidney International Reports
- Published
- 2025-05-08
- DOI
- https://doi.org/10.1016/j.ekir.2025.04.062
- Citations
- 2
- Primary Topic
- Genetic and Kidney Cyst Diseases
- Type
- article
- Field-Weighted Citation Impact
- 3.63