9 citations · 14 across the 14 of their papers we have counts for
5 papers · 1 filter
PhysGen: Physically Grounded 3D Shape Generation for Industrial Design
Yingxuan You, Chen Zhao, Hantao Zhang +2
Existing generative models for 3D shapes can synthesize high-fidelity and visually plausible shapes. For certain classes of shapes that have undergone an engineering design process…
PrIntMesh: Precise Intersection Surfaces for 3D Organ Mesh Reconstruction
Deniz Sayin Mercadier, Hieu Le, Yihong Chen +3
Human organs are composed of interconnected substructures whose geometry and spatial relationships constrain one another. Yet, most deep-learning approaches treat these parts indep…
Limited-Angle Tomography Reconstruction via Projector Guided 3D Diffusion
Zhantao Deng, Mériem Er-Rafik, Anna Sushko +2
Limited-angle electron tomography aims to reconstruct 3D shapes from 2D projections of Transmission Electron Microscopy (TEM) within a restricted range and number of tilting angles…
End-to-End 4D Heart Mesh Recovery Across Full-Stack and Sparse Cardiac MRI
Yihong Chen, Jiancheng Yang, Deniz Sayin Mercadier +3
Reconstructing cardiac motion from CMR sequences is critical for diagnosis, prognosis, and intervention. Existing methods rely on complete CMR stacks to infer full heart motion, li…
DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask Diffusion
Hantao Zhang, Yuhe Liu, Jiancheng Yang +3
Accurate medical image segmentation is crucial for precise anatomical delineation. Deep learning models like U-Net have shown great success but depend heavily on large datasets and…