Mohsen has made significant contributions to various projects within the NPIC programme. In the Big-Picture project, he is responsible for procuring and submitting a vast dataset of 50,000 whole slide images (WSIs) for liver research. Collaborating with the Radboud University, he has investigated the impact of scanner variability on the performance of AI models in breast cancer detection. This work is instrumental in ensuring the reliability and generalizability of AI tools in real-world clinical settings. Additionally, he is a key contributor to the Ensure AI project, which aims to independently evaluate AI tools for prostate cancer grading. He also delivers novel research in quantifying fatty liver disease, which holds promise for improving diagnosis and patient managements.

Mohsen received his PhD in medical image computing from the University of Sheffield in 2018. He has a strong foundation in image processing and statistical data modelling using Python and R. He has 5+ years of expertise in delivering AI solutions across various healthcare domains including digital pathology, musculoskeletal aging, and cardiac hypertrophy.