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Amir Salehi
Contact
E-mail
amir.salehi@umu.se
Phone
Works at
Affiliation
Affiliated as other position at
Department of Medical Biosciences
Location
By 6M, Sjukhusområdet
Umeå universitet, 901 85 Umeå
Publications
Publications
Mentions
Mentions
2024
Patients with oral tongue squamous cell carcinoma and co‑existing diabetes exhibit lower recurrence rates and improved survival: implications for treatment
Oncology Letters
, Spandidos Publications 2024, Vol. 27, (4)
Salehi, Amir M.; Wang, Lixiao; Gu, Xiaolian; et al.
2023
Early detection of squamous cell carcinoma of the oral tongue using multidimensional plasma protein analysis and interpretable machine learning
Journal of Oral Pathology & Medicine
, John Wiley & Sons 2023, Vol. 52, (7) : 637-643
Gu, Xiaolian; Salehi, Amir M.; Wang, Lixiao; et al.
2023
Clinical investigation and application of Artificial Intelligence in diagnosis and prognosis of squamous cell carcinoma of the head and neck
Umeå University medical dissertations
, 2227
Salehi, Amir M.
2022
Reiterative modeling of combined transcriptomic and proteomic features refines and improves the prediction of early recurrence in squamous cell carcinoma of head and neck
Computers in Biology and Medicine
, Elsevier 2022, Vol. 149
Salehi, Amir M.; Wang, Lixiao; Coates, Philip J.; et al.
2021
Variation in Plasma Levels of TRAF2 Protein During Development of Squamous Cell Carcinoma of the Oral Tongue
Frontiers in Oncology
, Frontiers Media S.A. 2021, Vol. 11
Gu, Xiaolian; Coates, Philip; Wang, Lixiao; et al.
2020
Comparison of Preoperative Positron Emission Tomography/Computed Tomography with Panscopy and Ultrasound in Patients with Head and Neck Cancer
Oncology
, S. Karger 2020, Vol. 98, (12) : 889-892
Salehi, Amir M.; Norberg-Spaak, Lena; Vallin, Simon; et al.
2020
Comparison of Quality of Life among Patients with Oro-Hypopharyngeal Cancer after Tonsillectomy and Panscopy Using Transoral Robotic Surgery: A Pilot Study
Case Reports in Oncology
, S. Karger 2020, Vol. 13, (3) : 1295-1303
Salehi, Amir M.; Norberg-Spaak, Lena; Wilms, Torben; et al.
Using clinical data,statistics and machine learning to predict recurrence of squamous cell carcinoma of the oral tongue shows that patients with coexisting diabetes have better survival than non-diabetics
Salehi, Amir M.
View publications in DiVA
Published: 12 Jun, 2023
AI effective in diagnosis of head and neck cancer
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