25 citations · 108 across the 7 of their papers we have counts for
7 papers
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…
Yuan 1.0: Large-Scale Pre-trained Language Model in Zero-Shot and Few-Shot Learning
Shaohua Wu, Xudong Zhao, Tong Yu +8
Recent work like GPT-3 has demonstrated excellent performance of Zero-Shot and Few-Shot learning on many natural language processing (NLP) tasks by scaling up model size, dataset s…
Automatic Calcium Scoring in Cardiac and Chest CT Using DenseRAUnet
Jiechao Ma, Rongguo Zhang
Cardiovascular disease (CVD) is a common and strong threat to human beings, featuring high prevalence, disability and mortality. The amount of coronary artery calcification (CAC) i…
Cross-view Relation Networks for Mammogram Mass Detection
Jiechao Ma, Sen Liang, Xiang Li +4
Mammogram is the most effective imaging modality for the mass lesion detection of breast cancer at the early stage. The information from the two paired views (i.e., medio-lateral o…
Group-Attention Single-Shot Detector (GA-SSD): Finding Pulmonary Nodules in Large-Scale CT Images
Jiechao Ma, Xiang Li, Hongwei Li +4
Early diagnosis of pulmonary nodules (PNs) can improve the survival rate of patients and yet is a challenging task for radiologists due to the image noise and artifacts in computed…