24 citations · 29 across the 4 of their papers we have counts for
4 papers
Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis
Yankai Jiang, Mingze Sun, Heng Guo +4
Self-supervised learning (SSL) has recently achieved promising performance for 3D medical image analysis tasks. Most current methods follow existing SSL paradigm originally designe…
Med-Query: Steerable Parsing of 9-DoF Medical Anatomies with Query Embedding
Heng Guo, Jianfeng Zhang, Ke Yan +2
Automatic parsing of human anatomies at the instance-level from 3D computed tomography (CT) is a prerequisite step for many clinical applications. The presence of pathologies, brok…
A New Probabilistic V-Net Model with Hierarchical Spatial Feature Transform for Efficient Abdominal Multi-Organ Segmentation
Minfeng Xu, Heng Guo, Jianfeng Zhang +2
Accurate and robust abdominal multi-organ segmentation from CT imaging of different modalities is a challenging task due to complex inter- and intra-organ shape and appearance vari…
X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative Adversarial Networks
Xingde Ying, Heng Guo, Kai Ma +3
Computed tomography (CT) can provide a 3D view of the patient's internal organs, facilitating disease diagnosis, but it incurs more radiation dose to a patient and a CT scanner is…