19 citations · 28 across the 16 of their papers we have counts for
5 papers · 2 filters
EyeMVP: OCT-Informed Fundus Representation Learning via Paired CFP--OCT Pretraining
Zhuo Deng, Ruiheng Zhang, Ziheng Zhang +23
Color fundus photography (CFP) is the mainstay of large-scale retinal screening, but its diagnostic capacity is limited by the lack of depth-resolved structure, which optical coher…
Generating Reports or Repeating Templates? Measuring and Mitigating Template Collapse in 3D CT Report Generation
Tom Maye-Lasserre, Yitong Li, Bailiang Jian +3
Modern 3D medical vision-language models (VLMs) can generate fluent radiology-style text while exhibit critically low pathology detection and output diversity, collapsing to generi…
Translating MRI to PET through Conditional Diffusion Models with Enhanced Pathology Awareness
Yitong Li, Igor Yakushev, Dennis M. Hedderich +1
Positron emission tomography (PET) is a widely recognized technique for diagnosing neurodegenerative diseases, offering critical functional insights. However, its high costs and ra…
Conditional Diffusion for 3D CT Volume Reconstruction from 2D X-rays
Martin Rath, Morteza Ghahremani, Yitong Li +3
Computed tomography (CT) provides rich 3D anatomical detail but is often constrained by high radiation exposure, substantial costs, and limited availability. Standard chest X-rays…
Cortex-Grounded Diffusion Models for Brain Image Generation
Fabian Bongratz, Yitong Li, Sama Elbaroudy +1
Synthetic neuroimaging data can mitigate critical limitations of real-world datasets, including the scarcity of rare phenotypes, domain shifts across scanners, and insufficient lon…