2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2019★ 2 cited
Internal-transfer Weighting of Multi-task Learning for Lung Cancer Detection
Yiyuan Yang, Riqiang Gao, Yucheng Tang +6
Recently, multi-task networks have shown to both offer additional estimation capabilities, and, perhaps more importantly, increased performance over single-task networks on a "main…
cs.CV2019
Deep Multi-task Prediction of Lung Cancer and Cancer-free Progression from Censored Heterogenous Clinical Imaging
Riqiang Gao, Lingfeng Li, Yucheng Tang +6
Annual low dose computed tomography (CT) lung screening is currently advised for individuals at high risk of lung cancer (e.g., heavy smokers between 55 and 80 years old). The reco…
cs.CV2019★ 2 cited
Lung Cancer Detection using Co-learning from Chest CT Images and Clinical Demographics
Jiachen Wang, Riqiang Gao, Yuankai Huo +6
Early detection of lung cancer is essential in reducing mortality. Recent studies have demonstrated the clinical utility of low-dose computed tomography (CT) to detect lung cancer…