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 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
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.
