Bilde av Tafavvoghi, Masoud
Bilde av Tafavvoghi, Masoud
Department of Community Medicine masoud.tafavvoghi@uit.no Tromsø You can find me here

Masoud Tafavvoghi


Job description

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.


  • Nikita, Anders, Masoud, Lill-Tove Rasmussen, Stig Manfred, Kajsa et al.:
    Fast TILs—A pipeline for efficient TILs estimation in non-small cell lung cancer
    Journal of Pathology Informatics 01. abril 2025 DOI
  • Mehrdad, Masoud, Biagio, Joao V, Alessio, Fabrizio et al.:
    Deep Learning Model for Predicting Immunotherapy Response in Advanced Non-Small Cell Lung Cancer
    JAMA Oncology 2024 DOI / ARKIV
  • Masoud, Anders, Mehrdad, Nikita, Lars Ailo Aslaksen, Lill-Tove Rasmussen et al.:
    Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images
    Journal of Pathology Informatics 2024 DOI / ARKIV
  • Masoud, Lars Ailo Aslaksen, Nikita, Lill-Tove Rasmussen, Kajsa :
    Publicly available datasets of breast histopathology H&E whole-slide images: A scoping review
    Journal of Pathology Informatics 2024 DOI / ARKIV
  • Mehrdad, Sigve, K., Erna-Elise, Thomas Karsten, Lill-Tove Rasmussen et al.:
    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 DOI / ARKIV
  • Masoud, Kajsa :
    Machine Learning for the Analysis of Breast Cancer Histopathology Images
    UiT Norges arktiske universitet 03. octubre 2025
  • Elio, falah, Masoud, Amin, Elias Bou, Harvey J. et al.:
    Deep learning–powered analysis of tumor-infiltrating lymphocytes (TILs) in colorectal cancer
    2025
  • Mohsen Gamal Saad, Masoud, Lars, Lars Ailo, Kristian :
    Using machine learning methods to predict all-cause somatic hospitalizations in adults: A systematic review
    PLOS ONE 2024 DOI / ARKIV
  • Elio, falah, Masoud, Amin, Lill-Tove Rasmussen, Tom et al.:
    Artificial Intelligence-powered analysis of the tumor immune microenvironment in primary and metastatic colorectal cancer
    2024
  • falah, Sigve, Erna-Elise, Masoud, Elin Helmine, Sissel Gyrid Freim et al.:
    Integrating Artificial intelligence (AI)-based lymphocytic infiltration assessment in early-stage NSCLC: A sub-study of the TNM-I trial
    2024
  • Kajsa, Lars Ailo, Masoud :
    Cancer detection for white urban Americans
    2023 ARKIV
  • Mehrdad, Masoud, Elio, Biagio, Joao, Alessio et al.:
    Artificial intelligence algorithm developed to predict immune checkpoint inhibitors efficacy in non–small-cell lung cancer
    2023

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    Research interests

    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.



    MH øst L11.232


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