25 citations · 63 across the 4 of their papers we have counts for
4 papers
Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge
Gongning Luo, Kuanquan Wang, Jun Liu +27
Efficient automatic segmentation of multi-level (i.e. main and branch) pulmonary arteries (PA) in CTPA images plays a significant role in clinical applications. However, most exist…
MMMNA-Net for Overall Survival Time Prediction of Brain Tumor Patients
Wen Tang, Haoyue Zhang, Pengxin Yu +2
Overall survival (OS) time is one of the most important evaluation indices for gliomas situations. Multimodal Magnetic Resonance Imaging (MRI) scans play an important role in the s…
RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans
Pengxin Yu, Haoyue Zhang, Han Kang +3
In clinical practice, anisotropic volumetric medical images with low through-plane resolution are commonly used due to short acquisition time and lower storage cost. Nevertheless,…
Transformer Lesion Tracker
Wen Tang, Han Kang, Haoyue Zhang +3
Evaluating lesion progression and treatment response via longitudinal lesion tracking plays a critical role in clinical practice. Automated approaches for this task are motivated b…