Area of research
Surgery · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Bladder and Urothelial Cancer Treatments, Urinary and Genital Oncology Studies, Radiomics and Machine Learning in Medical Imaging, and AI in cancer detection.
Engineering CRISPR System‐Based Bacterial Outer Membrane Vesicle Potentiates T Cell Immunity for Enhanced Cancer Immunotherapy
Development and validation of an artificial intelligence-based model for detecting urothelial carcinoma using urine cytology images: a multicentre, diagnostic study with prospective validation
Neoadjuvant gemcitabine–cisplatin plus tislelizumab in persons with resectable muscle-invasive bladder cancer: a multicenter, single-arm, phase 2 trial
Artificial intelligence-based model for lymph node metastases detection on whole slide images in bladder cancer: a retrospective, multicentre, diagnostic study
A multicenter study to develop a non-invasive radiomic model to identify urinary infection stone in vivo using machine-learning
An Artificial Intelligence System for the Detection of Bladder Cancer via Cystoscopy: A Multicenter Diagnostic Study
Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography
Development of a noninvasive tool to preoperatively evaluate the muscular invasiveness of bladder cancer using a radiomics approach
Development and Validation of an MRI-Based Radiomics Signature for the Preoperative Prediction of Lymph Node Metastasis in Bladder Cancer
A Radiomics Nomogram for the Preoperative Prediction of Lymph Node Metastasis in Bladder Cancer
CD103 <sup>+</sup> Tumor Infiltrating Lymphocytes Predict a Favorable Prognosis in Urothelial Cell Carcinoma of the Bladder