Masoud Tafavvoghi
Scholar

Masoud Tafavvoghi

Google Scholar ID: xH8C0LoAAAAJ
UiT The Arctic University of Norway
computational pathologymachine learningdeep learningmedical imaging
Citations & Impact
All-time
Citations
100
 
H-index
4
 
i10-index
4
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • - Fast TILs—A pipeline for efficient TILs estimation in non-small cell lung cancer, Journal of Pathology Informatics, April 2025
  • - Deep Learning Model for Predicting Immunotherapy Response in Advanced Non-Small Cell Lung Cancer, JAMA Oncology, 2024
  • - Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images, Journal of Pathology Informatics, 2024
  • - Publicly available datasets of breast histopathology H&E whole-slide images: A scoping review, Journal of Pathology Informatics, 2024
  • - Machine Learning for the Analysis of Breast Cancer Histopathology Images, UiT Norges arktiske universitet
Research Experience
  • Involved in several research projects concerning non-small cell lung cancer, classification of breast cancer molecular subtypes, and predicting response to immunotherapy in advanced non-small cell lung cancer.
Education
  • Pursuing his PhD at UiT The Arctic University of Norway; affiliated with the System Epidemiology research group.
Background
  • PhD candidate in computational pathology focusing on machine learning/statistical methods for histopathological images.
Co-authors
0 total
Co-authors: 0 (list not available)