Nikita,
Anders,
Masoud,
Lill-Tove Rasmussen,
Stig Manfred,
Kajsa
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,
Masoud,
Biagio,
Joao V,
Alessio,
Fabrizio
et al.:
Deep Learning Model for Predicting Immunotherapy Response in Advanced Non-Small Cell Lung Cancer
Masoud,
Anders,
Mehrdad,
Nikita,
Lars Ailo Aslaksen,
Lill-Tove Rasmussen
et al.:
Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images
Journal of Pathology Informatics 2024
DOI /
ARKIV
Masoud,
Lars Ailo Aslaksen,
Nikita,
Lill-Tove Rasmussen,
Kajsa
:
Publicly available datasets of breast histopathology H&E whole-slide images: A scoping review
Journal of Pathology Informatics 2024
DOI /
ARKIV
Mehrdad,
Sigve,
K.,
Erna-Elise,
Thomas Karsten,
Lill-Tove Rasmussen
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,
Kajsa
:
Machine Learning for the Analysis of Breast Cancer Histopathology Images
UiT Norges arktiske universitet 03. Oktober 2025
Elio,
falah,
Masoud,
Amin,
Elias Bou,
Harvey J.
et al.:
Deep learning–powered analysis of tumor-infiltrating lymphocytes (TILs) in colorectal cancer
2025
Mohsen Gamal Saad,
Masoud,
Lars,
Lars Ailo,
Kristian
:
Using machine learning methods to predict all-cause somatic hospitalizations in adults: A systematic review
Elio,
falah,
Masoud,
Amin,
Lill-Tove Rasmussen,
Tom
et al.:
Artificial Intelligence-powered analysis of the tumor immune microenvironment in primary and metastatic colorectal cancer
2024
falah,
Sigve,
Erna-Elise,
Masoud,
Elin Helmine,
Sissel Gyrid Freim
et al.:
Integrating Artificial intelligence (AI)-based lymphocytic infiltration assessment in early-stage NSCLC: A sub-study of the TNM-I trial
2024
Kajsa,
Lars Ailo,
Masoud
:
Cancer detection for white urban Americans
Mehrdad,
Masoud,
Elio,
Biagio,
Joao,
Alessio
et al.:
Artificial intelligence algorithm developed to predict immune checkpoint inhibitors efficacy in non–small-cell lung cancer
2023