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cs.CV2026
Physics-Grounded Disentangled Flow Modeling for Brain Disease Progression Trajectory
Jun Wang, Peirong Liu
Forecasting longitudinal brain lesion evolution is critical for disease monitoring and treatment planning. Existing approaches typically learn a direct mapping from a baseline imag…
cs.CV2025
USB: Unified Synthetic Brain Framework for Bidirectional Pathology-Healthy Generation and Editing
Jun Wang, Peirong Liu
Understanding the relationship between pathological and healthy brain structures is fundamental to neuroimaging, connecting disease diagnosis and detection with modeling, predictio…
cs.CV2025
BOSC: A Backdoor-based Framework for Open Set Synthetic Image Attribution
Jun Wang, Benedetta Tondi, Mauro Barni
Synthetic image attribution addresses the problem of tracing back the origin of images produced by generative models. Extensive efforts have been made to explore unique representat…