424 citations · 477 across the 9 of their papers we have counts for
10 papers
An Adversarial Approach to Register Extreme Resolution Tissue Cleared 3D Brain Images
Abdullah Naziba, Clinton Fookes, Dimitri Perrin
We developed a generative patch based 3D image registration model that can register very high resolution images obtained from a biochemical process name tissue clearing. Tissue cle…
Piecewise Deterministic Markov Processes for Bayesian Neural Networks
Ethan Goan, Dimitri Perrin, Kerrie Mengersen +1
Inference on modern Bayesian Neural Networks (BNNs) often relies on a variational inference treatment, imposing violated assumptions of independence and the form of the posterior.…
The Coming of Age of Nucleic Acid Vaccines during COVID-19
Halie M. Rando, Ronan Lordan, Likhitha Kolla +8
In the 21st century, several emergent viruses have posed a global threat. Each pathogen has emphasized the value of rapid and scalable vaccine development programs. The ongoing SAR…
Application of Traditional Vaccine Development Strategies to SARS-CoV-2
Halie M. Rando, Ronan Lordan, Alexandra J. Lee +7
Over the past 150 years, vaccines have revolutionized the relationship between people and disease. During the COVID-19 pandemic, technologies such as mRNA vaccines have received at…
Molecular and Serologic Diagnostic Technologies for SARS-CoV-2
Halie M. Rando, Christian Brueffer, Ronan Lordan +10
The COVID-19 pandemic has presented many challenges that have spurred biotechnological research to address specific problems. Diagnostics is one area where biotechnology has been c…
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…
Neural network an1alysis of sleep stages enables efficient diagnosis of narcolepsy
Jens B. Stephansen, Alexander N. Olesen, Mads Olsen +27
Analysis of sleep for the diagnosis of sleep disorders such as Type-1 Narcolepsy (T1N) currently requires visual inspection of polysomnography records by trained scoring technician…