We’re excited to launch the third AFRICAI Journal Club – in the series where we come together to critically engage with cutting-edge scientific papers in the field of AI and healthcare. On July 23rd, we are pleased to welcome Sadok Gaied, who will present the following paper:
🧾 A. Mehranian and A. J. Reader (2019), “Model-Based Deep Learning PET Image Reconstruction Using Forward-Backward Splitting Expectation Maximisation” DOI: 10.1109/NSS/MIC42101.2019.9059998
Sadok Gaied is a final-year engineering student at INSAT (the National Institute of Applied Science and Technology in Tunisia), specialized in Computer Networks and Telecommunications. Currently, he is undertaking a research internship at IETR–INSA Rennes (the Electronics and Telecommunications Research Institute at the National Institute of Applied Sciences in France). Previously interned at dB.Sense, a spinoff of the University of Tunis El Manar, specialized in signal processing and AI, focused on audio and acoustic applications.
Event Details
• Date: Wednesday, July 23, 2025
• Time: 14:00 WAT | 15:00 CAT | 15:00 CEST
• Duration: 60 minutes (30-minute talk + 30-minute discussion)
• Location: Online via Zoom (link shared upon registration)Ç
• Register now: this link.
Full article Reference
A. Mehranian and A. J. Reader, “Model-Based Deep Learning PET Image Reconstruction Using Forward-Backward Splitting Expectation Maximisation,” 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Manchester, UK, 2019, pp. 1-4, doi: 10.1109/NSS/MIC42101.2019.9059998. keywords: {Image reconstruction;Lesions;Positron emission tomography;Training;Phantoms;Data models;Optimization}
