Area of research
Mechanical Engineering · Materials Chemistry
Research interest
Research interests include Medicine, Nomogram, Thyroid carcinoma, Halide, Superlattice, and Porosity.
Metal-halide porous framework superlattices
Multi-region nomogram for predicting central lymph node metastasis in papillary thyroid carcinoma using multimodal imaging: A multicenter study
Multimodal deep learning: tumor and visceral fat impact on colorectal cancer occult peritoneal metastasis
SCLResNet and DSAF: A self-supervised contrastive learning and deep self-attention fusion-based multimodal network for predicting central lymph node metastasis in papillary thyroid carcinoma
1848MO Phase II study of firmonertinib in patients with previously treated advanced/metastatic non-small cell lung cancer (mNSCLC) with EGFR exon 20 insertion (ex20ins) mutations
Deep Learning-Based Prediction of Microvascular Invasion and Survival Outcomes in Hepatocellular Carcinoma Using Dual-phase CT Imaging of Tumors and Lesser Omental Adipose: A Multicenter Study
Oseltamivir enhances 5-FU sensitivity in esophageal squamous carcinoma with high SPNS1
An Integrated Nomogram Combining Deep Learning and Radiomics for Predicting Malignancy of Pulmonary Nodules Using <scp>CT</scp> ‐Derived Nodules and Adipose Tissue: A Multicenter Study
An ionic covalent organic framework loaded with terbium-based probe for the sensing and removal of chrysolepic acid: Characterization and ratiometric behavior