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 Shvetsov,
Anders Sildnes,
Masoud Tafavvoghi,
Lill-Tove Rasmussen Busund,
Stig Manfred Dalen,
Kajsa Møllersen
et al.:
Fast TILs—A pipeline for efficient TILs estimation in non-small cell lung cancer
Journal of Pathology Informatics 01. avril 2025 DOI
Mehrdad Rakaee,
Masoud Tafavvoghi,
Biagio Ricciuti,
Joao V Alessi,
Alessio Cortellini,
Fabrizio Citarella
et al.:
Deep Learning Model for Predicting Immunotherapy Response in Advanced Non-Small Cell Lung Cancer
Masoud Tafavvoghi,
Anders Sildnes,
Mehrdad Rakaee,
Nikita Shvetsov,
Lars Ailo Aslaksen Bongo,
Lill-Tove Rasmussen Busund
et al.:
Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images
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
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
Masoud Tafavvoghi,
Kajsa Møllersen
:
Machine Learning for the Analysis of Breast Cancer Histopathology Images
UiT Norges arktiske universitet 03. octobre 2025
Elio Adib,
falah jabar,
Masoud Tafavvoghi,
Amin Nassar,
Elias Bou Farhat,
Harvey J. Mamon
et al.:
Deep learning–powered analysis of tumor-infiltrating lymphocytes (TILs) in colorectal cancer
2025
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
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
Kajsa Møllersen,
Lars Ailo Bongo,
Masoud Tafavvoghi
:
Cancer detection for white urban Americans
2023 ARKIV
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
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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.
