Area of research
Analytical Chemistry · Biomedical Engineering
Research interest
Research focused on Artificial intelligence and Hyperspectral imaging, with related work in Necroptosis, Cancellous bone, Pattern recognition (psychology). Notable publications include 'Developing deep learning based regression approaches for determination of chemical compositions in dry black goji berries (Lycium ruthenicum Murr.) using near-infrared...', 'Wheat Kernel Variety Identification Based on a Large Near-Infrared Spectral Dataset and a Novel Deep Learning-Based Feature Selection Method', and 'Hyperspectral imaging with shallow convolutional neural networks (SCNN) predicts the early herbicide stress in wheat cultivars'.
Molecular mechanisms and therapeutic strategies of GPX4 regulation in acute kidney injury
Deep learning-based computer-aided diagnostic system for lumbar degenerative diseases classification using MRI
Stem–Leaf segmentation and phenotypic trait extraction of individual plant using a precise and efficient point cloud segmentation network
A multicenter bladder cancer MRI dataset and baseline evaluation of federated learning in clinical application
Osteoking promotes bone formation and bone defect repair through ZBP1–STAT1–PKR–MLKL-mediated necroptosis
Osteoking Promotes Bone Formation and Bone Defect Repair through ZBP1-STAT1-PKR-MLKL-mediated Necroptosis
Hyperspectral imaging with shallow convolutional neural networks (SCNN) predicts the early herbicide stress in wheat cultivars
Developing deep learning based regression approaches for determination of chemical compositions in dry black goji berries (Lycium ruthenicum Murr.) using near-infrared hyperspectral imaging
Wheat Kernel Variety Identification Based on a Large Near-Infrared Spectral Dataset and a Novel Deep Learning-Based Feature Selection Method