news

Nov 09, 2024 Our team “MaGeZ” has won the first PET Rapid Image reconstruction Challenge (PETRIC). A big thanks to my team members Matthias Ehrhardt and Zeljko Kereta.
Jun 04, 2024 Our publication “Exact parameter identification in PET pharmacokinetic modeling using the irreversible two tissue compartment model” was accepted for publication in Phys Med Biol. A big thanks to Erion Morina and Martin Holler from the University of Graz.
May 29, 2024 Invited talk “Machine Learning in PET image reconstruction”, at the 2024 WMLQ workshop in Warsaw on 06 June, 2024. link
May 22, 2024 Invited talk “From Measured Signals to Images: Potential Applications of AI in the Molecular Imaging Chain”, at the BELNUC Seminar: “The power of Artificial Intelligence in Nuclear Medicine – Join the Learning Session!” on June 1st, 2024 link
Feb 29, 2024 I will serve as an instructor at the training school on PET-SPECT-MR reconstruction at the 2024 PSMR conference in Elba, Italy link.
Feb 02, 2024 The benchmark paper on our open source GPU projector paralleproj is published in Frontiers of Nuclear Medicine link.
Nov 07, 2023 Our paper “Resolution enhancement, noise suppression, and joint T2* decay estimation in dual-echo sodium-23 MR imaging using anatomically-guided reconstruction” is accepted for publication in Magnetic Resonance and Medicine and freely available on arxiv.
Nov 06, 2023 Together with Andrew Reader and Kuang Gong, I am teaching the short course “Medical Image Reconstruction: from Foundations to AI” at the IEEE NSS/MIC 2023 in Vancouver. My slides and hands-on examples are here.
Sep 11, 2023 I started a new position as assistant Professor for Molecular Imaging and Analysis at KU Leuven, Belgium.
Jan 03, 2023 The preprint of the benchmark paper on my open source GPU projector paralleproj is now on arxiv.
Nov 12, 2022 My PI from Leuven Johan Nuyts is awarded with the IEEE NPSS and NMISC Edward J Hoffman Medical Imaging Scientist Award. Congratulations Johan!
Aug 01, 2022 I started my year as visiting instructor at the Radiological Sciences Lab at Stanford working with Fernando Boada