Bilde av Tafavvoghi, Masoud
Bilde av Tafavvoghi, Masoud
Stipendiat Department of Community Medicine masoud.tafavvoghi@uit.no +4777649169 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 System 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 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 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 et al.:
    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 et al.:
    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 et al.:
    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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    Research interests

    Research interests

    • Machine learning
    • Deep learning
    • computational pathology
    • Medical imaging
    • Bioinformatics
    • Biostatistics

     

    Teaching

    • HEL-8002:  Logistic Regression and Statistical Analysis of Survival Data
    • HEL-8030: Applied Linear Regression Analysis
    • HEL-8047: Statistical models, conclusions and uncertainty for scientific data analysis
    • HEL-3006: Introduction to Epidemiology and Biostatistics
    • HEL-3070:  Biostatistics II
    • MED-1501: Medicine 1st year of study (statistics)
    • Supervising an MPH master student's summer project on histology images.