Overview
Medisip is based at Ghent University (UGent) and specializes in medical imaging and signal processing research.
Key people
In the news
- Congratulations to Dr. Luna Maris on successfully defending her PhD thesis! Her PhD research, titled “Deep Learning Analysis of Micro-PET-CT Images to Support Intraoperative Margin Assessment in Breast-Conserving Surgery”, has real potential to improve surgical decision-making and patient outcomes. 👏 We are proud to celebrate this important milestone with you, Luna, and wish you continued success in your work at XEOS! 🌟 Congratulations, Dr. Maris! Under supervision of: Christian Vanhove, Vincent Keereman, and Koen Van
- New publication alert! The work of Florence M. and colleagues on low-dose attenuation correction for PET imaging has been published in Medical Physics. The paper presents a deep learning approach that combines non-attenuation corrected (NAC) PET images with dual-view scout radiographs to generate accurate surrogate attenuation maps without the need for a full CT, improving quantitative accuracy compared with using NAC PET images alone. The approach was further evaluated through cross-tracer testing, a longitudinal
- We are looking back on a great week at the 27th International Workshop on Radiation Imaging Detectors (IWoRID 2026) in Ghent! 👥 Our team was proud to contribute with: 🎤 An invited talk by Prof. Stefaan Vandenberghe on the Walk-Through PET/CT: a high-throughput and affordable PET/CT scanner. 🎓 Poster presentations by Boris V. and Robine Janssen, both exploring reconstruction methods for two non-standard CT acquisitions for the Walk-Through PET/CT. It was a pleasure to exchange ideas, connect with researchers from around the
- Looking back on a successful collaboration with SIAT! From March to June 2026, Rabia Aziz spent a fruitful research stay at the Shenzhen Institutes of Advanced Technology (SIAT) in China. Her focus was on improving imaging with the Walk-Through PET scanner. Because patient breathing can cause image blurring and quantification errors, Rabia worked on advanced respiratory motion correction techniques, using XCAT phantoms, data-driven gating, and motion-compensated reconstructions to boost image quality. A huge thank you to the team
- Nice to see another valuable international collaboration! 💡 Thibault D'Hulster recently completed a two-month research stay at the Artificial Intelligence and Translational Theranostics (AITT) department at the University of Bern (Inselspital). During this time, he immersed himself in their expertise on CT-less attenuation correction in PET imaging. The stay aided in bringing the Walk-Through PET another step closer to clinical implementation and opened up exciting avenues for low-dose scanning applications. 🌍 A big thank
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