Mattijs Elschot

Mattijs Elschot is an Associate Professor at the Norwegian University of Science and Technology (NTNU) within the Faculty of Medicine and Health Sciences. His research focuses on advancing medical imaging through the integration of artificial intelligence, with a particular emphasis on MRI and PET/MRI for prostate cancer diagnosis and treatment optimization. He actively contributes to the technical development of imaging protocols, reconstruction algorithms, and image analysis methods, bridging medical physics and clinical practice.

• Key Research Areas: Medical Imaging, Artificial Intelligence, Prostate Cancer, MRI, PET/MRI, Radiation Dosimetry, Image Processing, Machine Learning.

His recent publications highlight trends in AI-driven prostate MRI segmentation, federated learning for cancer detection, and the clinical utility of advanced imaging techniques like MR Fingerprinting and attenuation correction. Elschot collaborates extensively with international teams to improve diagnostic accuracy and reduce unnecessary biopsies. He also develops tools such as CROPro for automated prostate MRI processing and explores radiomics reproducibility in clinical settings.