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Masoud Tafavvoghi

Showing results (1-10 of 9) with videos related to

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Plos One|August 23, 2024
Using machine learning methods to predict all-cause somatic hospitalizations in adults: A systematic reviewMohsen Askar, Masoud Tafavvoghi, Lars Småbrekke, et al.
Journal of Pathology Informatics|February 26, 2024
Publicly available datasets of breast histopathology H&E whole-slide images: A scoping reviewMasoud Tafavvoghi, Lars Ailo Bongo, Nikita Shvetsov, et al.
Journal of Pathology Informatics|December 25, 2024
Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide imagesMasoud Tafavvoghi, Anders Sildnes, Mehrdad Rakaee, et al.
Computers in Biology and Medicine|November 28, 2025
A lightweight and extensible cell segmentation and classification model for H&E-stained cancer whole slide imagesNikita Shvetsov, Thomas Karsten Kilvær, Masoud Tafavvoghi, et al.
Journal of Pathology Informatics|April 15, 2025
Fast TILs-A pipeline for efficient TILs estimation in non-small cell Lung cancerNikita Shvetsov, Anders Sildnes, Masoud Tafavvoghi, et al.
Plos One|February 19, 2026
Open-source framework for detecting bias and overfitting for large pathology imagesAnders Sildnes, Nikita Shvetsov, Masoud Tafavvoghi, et al.
JAMA Oncology|February 12, 2026
Ancestry-Associated Performance Variability of Open-Source AI Models for EGFR Prediction in Lung CancerMehrdad Rakaee, Amin H Nassar, Masoud Tafavvoghi, et al.
JAMA Oncology|December 26, 2024
Deep Learning Model for Predicting Immunotherapy Response in Advanced Non-Small Cell Lung CancerMehrdad Rakaee, Masoud Tafavvoghi, Biagio Ricciuti, et al.
Journal for Immunotherapy of Cancer|October 6, 2025
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 bevacizumabBernhard Scheiner, Pasquale Lombardi, Antonio D'Alessio, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Plos One|August 23, 2024
Using machine learning methods to predict all-cause somatic hospitalizations in adults: A systematic reviewMohsen Askar, Masoud Tafavvoghi, Lars Småbrekke, et al.
Journal of Pathology Informatics|February 26, 2024
Publicly available datasets of breast histopathology H&E whole-slide images: A scoping reviewMasoud Tafavvoghi, Lars Ailo Bongo, Nikita Shvetsov, et al.
Journal of Pathology Informatics|December 25, 2024
Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide imagesMasoud Tafavvoghi, Anders Sildnes, Mehrdad Rakaee, et al.
Computers in Biology and Medicine|November 28, 2025
A lightweight and extensible cell segmentation and classification model for H&E-stained cancer whole slide imagesNikita Shvetsov, Thomas Karsten Kilvær, Masoud Tafavvoghi, et al.
Journal of Pathology Informatics|April 15, 2025
Fast TILs-A pipeline for efficient TILs estimation in non-small cell Lung cancerNikita Shvetsov, Anders Sildnes, Masoud Tafavvoghi, et al.
Plos One|February 19, 2026
Open-source framework for detecting bias and overfitting for large pathology imagesAnders Sildnes, Nikita Shvetsov, Masoud Tafavvoghi, et al.
JAMA Oncology|February 12, 2026
Ancestry-Associated Performance Variability of Open-Source AI Models for EGFR Prediction in Lung CancerMehrdad Rakaee, Amin H Nassar, Masoud Tafavvoghi, et al.
JAMA Oncology|December 26, 2024
Deep Learning Model for Predicting Immunotherapy Response in Advanced Non-Small Cell Lung CancerMehrdad Rakaee, Masoud Tafavvoghi, Biagio Ricciuti, et al.
Journal for Immunotherapy of Cancer|October 6, 2025
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 bevacizumabBernhard Scheiner, Pasquale Lombardi, Antonio D'Alessio, et al.
Pageof 1