Isfahan Artificial Intelligence Event 2023: Reflux Detection Competition
This article outlines the datasets provided to participants and offers an overview of the competition results.
Authors
- Farnoush Kiyanpour (ORCID: https://orcid.org/0000-0002-2048-6488)
- Ahmadreza Montazerolghaem (ORCID: https://orcid.org/0000-0003-4968-2375)
- Mehdi Ghatee (ORCID: https://orcid.org/0000-0002-9558-8286)
- Maryam Soheilipour (ORCID: https://orcid.org/0000-0001-6382-9543)
- Mehdi Tofighi
- Asghar Rahmani (ORCID: https://orcid.org/0009-0007-7450-952X)
- Hossein Rabbani (ORCID: https://orcid.org/0000-0002-0551-3636)
- Peyman Adibi (ORCID: https://orcid.org/0000-0001-6411-5235)
- Safiyeh Rezaei
- Mohammad Hossein Vafaie (ORCID: https://orcid.org/0000-0002-5231-8614)
- Zahra Zojaji (ORCID: https://orcid.org/0000-0003-0921-0170)
- Behnam Yousefimehr (ORCID: https://orcid.org/0009-0003-0954-635X)
- Mohammad Yasin Fakhar
- Azra Rasouli Kenari (ORCID: https://orcid.org/0000-0003-1995-1917)
- Mojtaba Tahernia
- Hamidreza Besharatnezhad
- Vahid Rahimi Bafrani
- Mahdi Kalani
- Mohamad Kiani-Abari
Institutions
- Isfahan University of Medical Sciences (IR)
- Amirkabir University of Technology (IR)
- University of Isfahan (IR)
- Iran University of Science and Technology (IR)
Publication Details
- Journal
- Journal of Medical Signals & Sensors
- Published
- 2025-02-01
- DOI
- https://doi.org/10.4103/jmss.jmss_46_24
- Primary Topic
- Gastroesophageal reflux and treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00