Bilde av Tafavvoghi, Masoud
Bilde av Tafavvoghi, Masoud
Stipendiat Institutt for samfunnsmedisin masoud.tafavvoghi@uit.no +4777649169 Her finner du meg

Masoud Tafavvoghi


Stillingsbeskrivelse

Masoud Tafavvoghi is a PhD candidate in computational pathology, with the PhD project: "Machine learning/statistical methods for histopathological images." Masoud is affiliated with the research group Systems Epidemiology.


  • Masoud Tafavvoghi, Lars Ailo Aslaksen Bongo, Nikita Shvetsov, Lill-Tove Rasmussen Busund, Kajsa Møllersen :
    Publicly available datasets of breast histopathology H&E whole-slide images: A scoping review
    Journal of Pathology Informatics 2024 ARKIV / DOI
  • Mehrdad Rakaee, Sigve Andersen, K. Giannikou, Erna-Elise Paulsen, Thomas Karsten Kilvær, Lill-Tove Rasmussen Busund m.fl.:
    Machine learning-based immune phenotypes correlate with STK11/KEAP1 co-mutations and prognosis in resectable NSCLC: a sub-study of the TNM-I trial
    Annals of Oncology 2023 ARKIV / DOI
  • Mohsen Gamal Saad Askar, Masoud Tafavvoghi, Lars Småbrekke, Lars Ailo Bongo, Kristian Svendsen :
    Using machine learning methods to predict all-cause somatic hospitalizations in adults: A systematic review
    PLOS ONE 2024 DOI
  • Elio Adib, falah jabar, Masoud Tafavvoghi, Amin Nassar, Lill-Tove Rasmussen Busund, Tom Dønnem m.fl.:
    Artificial Intelligence-powered analysis of the tumor immune microenvironment in primary and metastatic colorectal cancer
    2024
  • falah jabar, Sigve Andersen, Erna-Elise Paulsen, Masoud Tafavvoghi, Elin Helmine Richardsen, Sissel Gyrid Freim Wahl m.fl.:
    Integrating Artificial intelligence (AI)-based lymphocytic infiltration assessment in early-stage NSCLC: A sub-study of the TNM-I trial
    2024
  • Mehrdad Rakaee, Masoud Tafavvoghi, Elio Adib, Biagio Ricciuti, Joao Alessi, Alessio Cortellini m.fl.:
    Artificial intelligence algorithm developed to predict immune checkpoint inhibitors efficacy in non–small-cell lung cancer
    2023
  • Kajsa Møllersen, Lars Ailo Bongo, Masoud Tafavvoghi :
    Cancer detection for white urban Americans
    2023 ARKIV

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    Forskningsinteresser

    Forskningsinteresser

    • Maskinlæring
    • Dyp læring
    • Beregningspatologi
    • Medisinsk avbildning
    • Bioinformatikk
    • Biostatistikk

     

    Undervisning

    • HEL-8002: Logistisk regresjon og statistisk analyse av overlevelsesdata
    • HEL-8030: Anvendt lineær regresjonsanalyse
    • HEL-8047: Statistiske modeller, konklusjoner og usikkerhet for vitenskapelig dataanalyse
    • HEL-3006: Innføring i epidemiologi og biostatistikk
    • HEL-3070: Biostatistikk II
    • MED-1501: Medisin 1. studieår (statistikk)
    • Veileder et sommerprosjekt for en MPH-masterstudent om histologibilder.