6 papers
Learning Topology-Aware Implicit Field for Unified Pulmonary Tree Modeling with Incomplete Topological Supervision
Ziqiao Weng, Jiancheng Yang, Kangxian Xie +2
Pulmonary trees extracted from CT images frequently exhibit topological incompleteness, such as missing or disconnected branches, which substantially degrades downstream anatomical…
PlaneCycle: Training-Free 2D-to-3D Lifting of Foundation Models Without Adapters
Yinghong Yu, Guangyuan Li, Jiancheng Yang
Large-scale 2D foundation models exhibit strong transferable representations, yet extending them to 3D volumetric data typically requires retraining, adapters, or architectural red…
Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development
Zhongying Deng, Cheng Tang, Ziyan Huang +124
Foundation models have demonstrated remarkable success across diverse domains and tasks, primarily due to the thrive of large-scale, diverse, and high-quality datasets. However, in…
Bonnet: Ultra-fast whole-body bone segmentation from CT scans
Hanjiang Zhu, Pedro Martelleto Rezende, Zhang Yang +5
This work proposes Bonnet, an ultra-fast sparse-volume pipeline for whole-body bone segmentation from CT scans. Accurate bone segmentation is important for surgical planning and an…
Template-Guided Reconstruction of Pulmonary Segments with Neural Implicit Functions
Kangxian Xie, Yufei Zhu, Kaiming Kuang +4
High-quality 3D reconstruction of pulmonary segments plays a crucial role in segmentectomy and surgical planning for the treatment of lung cancer. Due to the resolution requirement…
AortaDiff: A Unified Multitask Diffusion Framework For Contrast-Free AAA Imaging
Yuxuan Ou, Ning Bi, Jiazhen Pan +5
While contrast-enhanced CT (CECT) is standard for assessing abdominal aortic aneurysms (AAA), the required iodinated contrast agents pose significant risks, including nephrotoxicit…