Area of research
Media Technology · Computer Vision and Pattern Recognition
Research interest
Research focused on Contouring and Artificial intelligence, with related work in Segmentation, ADME, Crop simulation model. Notable publications include 'Fully automatic multi‐organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks', 'Recent progresses in the exploration of machine learning methods as in-silico ADME prediction tools', and 'Shape constrained fully convolutional DenseNet with adversarial training for multiorgan segmentation on head and neck CT and low‐field MR images'.
Dominant sources of prediction uncertainty in wheat crop models vary by simulation outputs
Shape constrained fully convolutional DenseNet with adversarial training for multiorgan segmentation on head and neck <scp>CT</scp> and low‐field <scp>MR</scp> images
Fully automatic multi‐organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks
Recent progresses in the exploration of machine learning methods as in-silico ADME prediction tools