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.
Falah Jabar Rahim,
Lill-Tove Rasmussen Busund,
Biagio Ricciuti,
Masoud Tafavvoghi,
Thomas Karsten Kilvær,
David J. Pinato
et al.:
Fully Automatic Content-Aware Tiling Pipeline for Pathology Whole Slide Images
Intelligence-Based Medicine 01. November 2025 DOI
Bernhard Scheiner,
Pasquale Lombardi,
Antonio D’Alessio,
Gwangil Kim,
Masoud Tafavvoghi,
Oleksandr Petrenko
et al.:
Preliminary qualification of a machine learning-based assessment of the tumor immune infiltrate as a predictor of outcome in patients with hepatocellular carcinoma treated with atezolizumab plus bevacizumab
Journal for ImmunoTherapy of Cancer (JITC) 05. October 2025 DOI
Nikita Shvetsov,
Thomas Karsten Kilvær,
Masoud Tafavvoghi,
Anders Sildnes,
Kajsa Møllersen,
Lill-Tove Rasmussen Busund
et al.:
A lightweight and extensible cell segmentation and classification model for H&E-stained cancer whole slide images
Computers in Biology and Medicine 01. December 2025 DOI
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. April 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,
Erna-Elise Paulsen,
Falah Jabar Rahim,
Sigve Andersen,
Ana Paola Lombardi,
Elin Richardsen
et al.:
51P Deep learning-based detection of non-angiogenic growth patterns in early-stage lung cancer
ESMO Real World Data and Digital Oncology 01. November 2025 DOI
Masoud Tafavvoghi,
Falah Jabar Rahim,
Sigve Andersen,
Erna-Elise Paulsen,
A. Cortellini,
P. Lombardi
et al.:
219P Benchmarking state-of-the-art deep learning models for tumor-infiltrating lymphocytes (TILs) quantification
ESMO Real World Data and Digital Oncology 01. November 2025 DOI
Masoud Tafavvoghi,
Elio Adib,
Elias Bou Farhat,
Falah Jabar Rahim,
Amin Nassar,
Åslaug Helland
et al.:
Single-slide histology-based deep learning model for mismatch repair deficiency prediction in colorectal cancer.
Journal of Clinical Oncology 01. June 2025 DOI
Mehrdad Rakaee,
Solfrid Thunold,
Masoud Tafavvoghi,
Åsa Kristina Öjlert,
Krinio Giannikou,
Elio Adib
et al.:
Multiomics profiling for prediction of immunotherapy response in advanced pleural mesothelioma: Sub-study of the NIPU trial.
Journal of Clinical Oncology 01. June 2025 DOI
Mehrdad Rakaee,
Masoud Tafavvoghi,
A. Cortellini,
Sigve Andersen,
Falah Jabar Rahim,
L. Brunetti
et al.:
P1.11.62 Deep Learning Histopathology Model for PD-L1 (TPS) and Immunotherapy Outcome Prediction in Non-Small Cell Lung Cancer
Journal of Thoracic Oncology 01. October 2025 DOI
Masoud Tafavvoghi,
Kajsa Møllersen
:
Machine Learning for the Analysis of Breast Cancer Histopathology Images
UiT Norges arktiske universitet 03. October 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
Journal of Clinical Oncology 01. February 2025 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
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
Annals of Oncology 01. September 2024 DOI
Falah Jabar Rahim,
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
Annals of Oncology 01. September 2024 DOI
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
Journal of Clinical Oncology 01. June 2023 DOI
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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.
