6 papers
Bridging cone-beam CT and MRI to stopping power ratio maps: a modality-agnostic Brownian bridge approach to support robust adaptive proton therapy
Yuhao Yan, Qisheng He, Minglei Kang +4
Purpose: Adaptive proton therapy (APT) relies on routine offline CT simulations for updated anatomy. We present a modality-agnostic regularized Brownian bridge (rBBrg) framework to…
Deterministic Image-to-Image Translation via Denoising Brownian Bridge Models with Dual Approximators
Bohan Xiao, Peiyong Wang, Qisheng He +1
Image-to-Image (I2I) translation involves converting an image from one domain to another. Deterministic I2I translation, such as in image super-resolution, extends this concept by…
Modality-AGnostic Image Cascade (MAGIC) for Multi-Modality Cardiac Substructure Segmentation
Nicholas Summerfield, Qisheng He, Alex Kuo +9
Cardiac substructure delineation is emerging in treatment planning to minimize the risk of radiation-induced heart disease. Deep learning offers efficient methods to reduce contour…
Deterministic Medical Image Translation via High-fidelity Brownian Bridges
Qisheng He, Nicholas Summerfield, Peiyong Wang +2
Recent studies have shown that diffusion models produce superior synthetic images when compared to Generative Adversarial Networks (GANs). However, their outputs are often non-dete…
Modality-Agnostic Learning for Medical Image Segmentation Using Multi-modality Self-distillation
Qisheng He, Nicholas Summerfield, Ming Dong +1
Medical image segmentation of tumors and organs at risk is a time-consuming yet critical process in the clinic that utilizes multi-modality imaging (e.g, different acquisitions, da…
Learning Pruned Structure and Weights Simultaneously from Scratch: an Attention based Approach
Qisheng He, Weisong Shi, Ming Dong
As a deep learning model typically contains millions of trainable weights, there has been a growing demand for a more efficient network structure with reduced storage space and imp…