Hua-Chieh Shao

Implicit neural representations (INRs) enable continuous, resolution-agnostic modeling of complex anatomical motion and have shown remarkable promise for deformation-driven, instance-specific real-time volumetric MRI estimation from a prior MRI. However, trai...

Time-resolved volumetric MRI reconstructed from minimal k-space samples is critical for motion-adaptive radiotherapy to capture real-time deformable motion. We propose a Gaussian representation-based one-shot learning framework that models patient anatomy and...

Existing volumetric MRI techniques are constrained by the trade-off between acquisition time and image quality, limiting accuracy in motion-impacted sites such as the liver. To enable fast and high-quality volumetric imaging with sufficient spatiotemporal res...

Positron emission tomography (PET) is essential for image-guided radiotherapy by enabling accurate tumor localization and delineation. For sites affected by respiration, time-resolved PET is needed to resolve motion but challenged by very low counts per timef...

Real-time liver motion tracking is essential in image-guided radiotherapy to enable precise tumor targeting. We developed a conditional latent point cloud diffusion model (Latent-Liver) for real-time deformable liver motion tracking and tumor localization usi...