Area of research
Radiology, Nuclear Medicine and Imaging · Computer Vision and Pattern Recognition
Research interest
Research interests include Computer science, Segmentation, Artificial intelligence, Convolutional neural network, Dice, and Metric (unit).
DeepISLES: a clinically validated ischemic stroke segmentation model from the ISLES'22 challenge
USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging
Reversibility of Diffusion-Weighted Imaging Lesions in Patients With Ischemic Stroke in the WAKE-UP Trial
Deep learning-based dental implant recognition using synthetic X-ray images
Cross-Modal Distillation to Improve MRI-Based Brain Tumor Segmentation With Missing MRI Sequences
Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index
Towards fully automated third molar development staging in panoramic radiographs
Whole liver segmentation based on deep learning and manual adjustment for clinical use in SIRT
Effect of Lower Third Molar Segmentations on Automated Tooth Development Staging using a Convolutional Neural Network