Jakub Ceranka is a biomedical research engineer and postdoctoral researcher at the Department of Electronics and Informatics (ETRO.RDI) at the Vrije Universiteit Brussel (VUB), and a scientist at the imec research institute (Leuven, Belgium).
He received his BSc degree in Biomedical Engineering in 2012 from the Lodz University of Technology (Poland), including a one-year exchange programme in medical imaging at Eindhoven University of Technology (The Netherlands). He obtained his MSc in Biomedical Engineering from the University of Groningen (The Netherlands) in 2014. Since 2014, he has been affiliated with the ETRO-MIT research group, where he earned his PhD in the field of medical image analysis and artificial intelligence. Since 2021, he has continued his work at VUB as a postdoctoral researcher.
During his PhD, Jakub collaborated closely with the radiology departments of UZ Brussel and Saint-Luc University Hospital, focusing on the development of computer-aided diagnosis systems for advanced prostate cancer patients with bone metastases. His research also included the design of image processing techniques to improve the quality of whole-body MRI and the application of deep learning methods for cancer detection and segmentation in multimodal medical imaging.
As a postdoctoral researcher, Jakub’s work continues to center on medical image analysis, particularly in the domains of whole-body MRI, image enhancement, and AI-driven clinical decision support. His current research involves the development of weakly supervised deep learning pipelines using GANs, transformers, and latent diffusion models for anomaly detection and artifact suppression in CT and MRI data. He also contributes to projects focused on dimensionality enhancement, aiming to reconstruct high-resolution anatomical structures from sparse or low-dimensional imaging data.