Bo Zhou

Bo Zhou is a Research Professor in Radiology at Northwestern University's Feinberg School of Medicine, specializing in medical imaging and artificial intelligence. He holds a PhD from Yale University (2024) and focuses on advancing deep learning techniques for low-dose PET/SPECT imaging, including denoising, attenuation correction, and federated learning applications. His work bridges cutting-edge computational methods with clinical radiology to improve diagnostic accuracy and reduce radiation exposure.

• Education: PhD in Radiology, Yale University (2024)
• Affiliations: Member of RSNA, IEEE, American Heart Association, and SPIE Medical Imaging

His research interests emphasize developing AI-driven solutions for nuclear medicine challenges, such as optimizing cardiac imaging protocols and enhancing image quality through diffusion models and federated learning. Notable contributions include noise-aware PET denoising frameworks and population-prior-aided networks for low-count imaging.

Recent publications highlight advancements in PET reconstruction, federated learning for medical imaging, and motion-correction techniques. He has been recognized with the IEEE Bruce Hasegawa Young Investigator Award (2024) for his contributions to medical imaging science.