4 papers
A Multiple Decoder CNN for Inverse Consistent 3D Image Registration
Abdullah Nazib, Clinton Fookes, Olivier Salvado +1
The recent application of deep learning technologies in medical image registration has exponentially decreased the registration time and gradually increased registration accuracy w…
Dense Deformation Network for High Resolution Tissue Cleared Image Registration
Abdullah Nazib, Clinton Fookes, Dimitri Perrin
The recent application of deep learning in various areas of medical image analysis has brought excellent performance gains. In particular, technologies based on deep learning in me…
A Comparative Analysis of Registration Tools: Traditional vs Deep Learning Approach on High Resolution Tissue Cleared Data
Abdullah Nazib, Clinton Fookes, Dimitri Perrin
Image registration plays an important role in comparing images. It is particularly important in analyzing medical images like CT, MRI, PET, etc. to quantify different biological sa…
Performance of Image Registration Tools on High-Resolution 3D Brain Images
Abdullah Nazib, James Galloway, Clinton Fookes +1
Recent progress in tissue clearing has allowed for the imaging of entire organs at single-cell resolution. These methods produce very large 3D images (several gigabytes for a whole…