Area of research
Radiology, Nuclear Medicine and Imaging · Computer Vision and Pattern Recognition
Research interest
Research focused on Segmentation and Receiver operating characteristic, with related work in Radiomics, Artificial intelligence, Stage (stratigraphy). Notable publications include 'Assessing PD-L1 Expression Level by Radiomic Features From PET/CT in Nonsmall Cell Lung Cancer Patients: An Initial Result', '18F-FDG PET/CT radiomic predictors of pathologic complete response (pCR) to neoadjuvant chemotherapy in breast cancer patients', and 'Predicting EGFR mutation subtypes in lung adenocarcinoma using 18F-FDG PET/CT radiomic features'.
Segmenting the Inferior Alveolar Canal in CBCT Volumes: The ToothFairy Challenge
A Novel Approach to the Technique of Lung Region Segmentation Based on aDeep Learning Model to Diagnose COVID-19 X-ray Images
An artificial intelligence-assisted framework for fast and automatic radiofrequency ablation planning of liver tumors in CT images
Expert consensus on the technical specifications of the in vitro skin penetration test of cosmetic product by Franz diffusion cell
Fetal brain tissue annotation and segmentation challenge results
Deep radiomics-based fusion model for prediction of bevacizumab treatment response and outcome in patients with colorectal cancer liver metastases: a multicentre cohort study
A heuristic method for rapid and automatic radiofrequency ablation planning of liver tumors
Radiomic analysis for predicting prognosis of colorectal cancer from preoperative 18F-FDG PET/CT
Serum Untargeted UHPLC-HRMS-Based Lipidomics to Discover the Potential Biomarker of Colorectal Advanced Adenoma
18F-FDG PET/CT radiomic predictors of pathologic complete response (pCR) to neoadjuvant chemotherapy in breast cancer patients
Predicting EGFR mutation subtypes in lung adenocarcinoma using 18F-FDG PET/CT radiomic features
MMFNet: A multi-modality MRI fusion network for segmentation of nasopharyngeal carcinoma
3-D RoI-Aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation
Assessing PD-L1 Expression Level by Radiomic Features From PET/CT in Nonsmall Cell Lung Cancer Patients: An Initial Result
Design, synthesis and evaluation of a novel fluorescent probe to accurately detect H 2 S in lysosomes
Synthesis, Characterization, and Anti-Inflammatory Activities of Methyl Salicylate Derivatives Bearing Piperazine Moiety