266 citations · 1.7k across the 136 of their papers we have counts for
9 papers · 1 filter
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…
Physics-Informed Computer Vision: A Review and Perspectives
Chayan Banerjee, Kien Nguyen, Clinton Fookes +1
The incorporation of physical information in machine learning frameworks is opening and transforming many application domains. Here the learning process is augmented through the in…
Uncertainty Driven Bottleneck Attention U-net for Organ at Risk Segmentation
Abdullah Nazib, Riad Hassan, Zahidul Islam +1
Organ at risk (OAR) segmentation in computed tomography (CT) imagery is a difficult task for automated segmentation methods and can be crucial for downstream radiation treatment pl…
CorticalFlow: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability
Rodrigo Santa Cruz, Léo Lebrat, Darren Fu +4
The problem of Cortical Surface Reconstruction from magnetic resonance imaging has been traditionally addressed using lengthy pipelines of image processing techniques like FreeSurf…
Multi-Slice Net: A novel light weight framework for COVID-19 Diagnosis
Harshala Gammulle, Tharindu Fernando, Sridha Sridharan +2
This paper presents a novel lightweight COVID-19 diagnosis framework using CT scans. Our system utilises a novel two-stage approach to generate robust and efficient diagnoses acros…
DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction
Rodrigo Santa Cruz, Leo Lebrat, Pierrick Bourgeat +3
The study of neurodegenerative diseases relies on the reconstruction and analysis of the brain cortex from magnetic resonance imaging (MRI). Traditional frameworks for this task li…
Going deeper with brain morphometry using neural networks
Rodrigo Santa Cruz, Léo Lebrat, Pierrick Bourgeat +5
Brain morphometry from magnetic resonance imaging (MRI) is a consolidated biomarker for many neurodegenerative diseases. Recent advances in this domain indicate that deep convoluti…
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…