Jie Tian

Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer

First-in-human liver-tumour surgery guided by multispectral fluorescence imaging in the visible and near-infrared-I/II windows

The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges

Radiomics Signature: A Potential Biomarker for the Prediction of Disease-Free Survival in Early-Stage (I or II) Non—Small Cell Lung Cancer

DNA Origami as an <i>In Vivo</i> Drug Delivery Vehicle for Cancer Therapy

Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification

Radiomics Features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal Carcinoma

Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study

Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation

Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning

Development and validation of an individualized nomogram to identify occult peritoneal metastasis in patients with advanced gastric cancer

Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study