Area of research
Computer Vision and Pattern Recognition · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Convolutional neural network, Computer science, Artificial intelligence, Pattern recognition (psychology), Convolution (computer science), and Astrophysics.
A set of distinctive properties ruling the prompt emission of GRB 230307A and other long γ-ray bursts from compact object mergers
Taming large language models to implement diagnosis and evaluating the generation of LLMs at the semantic similarity level in acupuncture and moxibustion
Nanomechanical Analysis of Living Small Extracellular Vesicles to Identify Gastric Cancer Cell Malignancy Based on a Biomimetic Peritoneum
Automated pericardium segmentation and epicardial adipose tissue quantification from computed tomography images
Deep Learning With Radiomics for Disease Diagnosis and Treatment: Challenges and Potential
Segmentation of lung airways based on deep learning methods
Automated vessel segmentation in lung CT and CTA images via deep neural networks
Analysis of segmentation of lung parenchyma based on deep learning methods
Identification of crop diseases using improved convolutional neural networks
Cascaded Conditional Generative Adversarial Networks With Multi-Scale Attention Fusion for Automated Bi-Ventricle Segmentation in Cardiac MRI