64 citations · 66 across the 6 of their papers we have counts for
6 papers
Human and AI collaboration for pulmonary nodule segmentation
Hongqiao Dong, Wenhao Chi, Ruobing Liang +9
Medical expert annotators are scarce, and blind reliance on artificial intelligence (AI) can be misleading, motivating approaches in which humans, particularly junior medical train…
Learning an Interpretable Risk Scoring System for Maximizing Decision Net Benefit
Wenhao Chi, Ş. İlker Birbil
Risk scoring systems are widely used in high-stakes domains to assist decision-making. However, existing approaches often focus on optimizing predictive accuracy or likelihood-base…
Artificial Intelligence-Enhanced Couinaud Segmentation for Precision Liver Cancer Therapy
Liang Qiu, Wenhao Chi, Xiaohan Xing +8
Precision therapy for liver cancer necessitates accurately delineating liver sub-regions to protect healthy tissue while targeting tumors, which is essential for reducing recurrenc…
Alleviating Hyperparameter-Tuning Burden in SVM Classifiers for Pulmonary Nodules Diagnosis with Multi-Task Bayesian Optimization
Wenhao Chi, Haiping Liu, Hongqiao Dong +2
In the field of non-invasive medical imaging, radiomic features are utilized to measure tumor characteristics. However, these features can be affected by the techniques used to dis…
Tau Anomaly Detection in PET Imaging via Bilateral-Guided Deterministic Diffusion Model
Lujia Zhong, Shuo Huang, Jiaxin Yue +4
The emergence of tau PET imaging over the last decade has enabled Alzheimer's disease (AD) researchers to examine tau pathology in vivo and more effectively characterize the diseas…
Evolving the pulmonary nodules diagnosis from classical approaches to deep learning aided decision support: three decades development course and future prospect
Bo Liu, Wenhao Chi, Xinran Li +5
Lung cancer is the commonest cause of cancer deaths worldwide, and its mortality can be reduced significantly by performing early diagnosis and screening. Since the 1960s, driven b…