activity
20202026
most citedPASTA: Pathology-Aware MRI to PET Cross-Modal Translation with Diffusion Models

19 citations · 28 across the 16 of their papers we have counts for

collaborators
Showing 2026Show all

6 papers · 1 filter

cs.CV2026

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…

cs.RO2026

SimWeaver: Zero-Shot RGB Sim-to-Real for Deformable Manipulation

Wenkang Hu, Haoran Wang, Yitong Li +10

RGB sim-to-real for deformable manipulation has remained largely unsolved without real-world fine-tuning. We present SimWeaver, which trains zero-shot RGB VLA policies on 200 simul…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…