Masoud Tafavvoghi
Stillingsbeskrivelse
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.
Falah Jabar Rahim,
Lill-Tove Rasmussen Busund,
Biagio Ricciuti,
Masoud Tafavvoghi,
Thomas Karsten Kilvær,
David J. Pinato
m.fl.:
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
m.fl.:
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. oktober 2025 DOI
Nikita Shvetsov,
Thomas Karsten Kilvær,
Masoud Tafavvoghi,
Anders Sildnes,
Kajsa Møllersen,
Lill-Tove Rasmussen Busund
m.fl.:
A lightweight and extensible cell segmentation and classification model for H&E-stained cancer whole slide images
Computers in Biology and Medicine 01. desember 2025 DOI
Nikita Shvetsov,
Anders Sildnes,
Masoud Tafavvoghi,
Lill-Tove Rasmussen Busund,
Stig Manfred Dalen,
Kajsa Møllersen
m.fl.:
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
m.fl.:
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
m.fl.:
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
m.fl.:
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
m.fl.:
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
m.fl.:
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
m.fl.:
Single-slide histology-based deep learning model for mismatch repair deficiency prediction in colorectal cancer.
Journal of Clinical Oncology 01. juni 2025 DOI
Mehrdad Rakaee,
Solfrid Thunold,
Masoud Tafavvoghi,
Åsa Kristina Öjlert,
Krinio Giannikou,
Elio Adib
m.fl.:
Multiomics profiling for prediction of immunotherapy response in advanced pleural mesothelioma: Sub-study of the NIPU trial.
Journal of Clinical Oncology 01. juni 2025 DOI
Mehrdad Rakaee,
Masoud Tafavvoghi,
A. Cortellini,
Sigve Andersen,
Falah Jabar Rahim,
L. Brunetti
m.fl.:
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. oktober 2025 DOI
Masoud Tafavvoghi,
Kajsa Møllersen
:
Machine Learning for the Analysis of Breast Cancer Histopathology Images
UiT Norges arktiske universitet 03. oktober 2025
Elio Adib,
falah jabar,
Masoud Tafavvoghi,
Amin Nassar,
Elias Bou Farhat,
Harvey J. Mamon
m.fl.:
Deep learning–powered analysis of tumor-infiltrating lymphocytes (TILs) in colorectal cancer
Journal of Clinical Oncology 01. februar 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
m.fl.:
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
m.fl.:
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
m.fl.:
Artificial intelligence algorithm developed to predict immune checkpoint inhibitors efficacy in non–small-cell lung cancer
Journal of Clinical Oncology 01. juni 2023 DOI
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Forskningsinteresser
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.
