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Amir Salehi

Kontakt

amir.salehi@umu.se

Verksam vid

Anknuten som forskarstuderande till Institutionen för medicinsk biovetenskap

By 6M, Sjukhusområdet Umeå universitet, 901 85 Umeå

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.

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.

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.

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.

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.

Early detection of squamous cell carcinoma of the oral tongue using multidimensional plasma protein analysis and interpretable machine learning

Gu, Xiaolian; Salehi, Amir M.; Wang, Lixiao; 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.

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Gruppmedlem

Karin Nylander