2 papers
eess.IV2025
RealDeal: Enhancing Realism and Details in Brain Image Generation via Image-to-Image Diffusion Models
Shen Zhu, Yinzhu Jin, Tyler Spears +2
We propose image-to-image diffusion models that are designed to enhance the realism and details of generated brain images by introducing sharp edges, fine textures, subtle anatomic…
cs.CV2025
MedIL: Implicit Latent Spaces for Generating Heterogeneous Medical Images at Arbitrary Resolutions
Tyler Spears, Shen Zhu, Yinzhu Jin +2
In this work, we introduce MedIL, a first-of-its-kind autoencoder built for encoding medical images with heterogeneous sizes and resolutions for image generation. Medical images ar…