A5022668103- Medical Image Segmentation Techniques
- Image Processing and 3D Reconstruction
- AI in cancer detection
- Image and Object Detection Techniques
- Advanced Image and Video Retrieval Techniques
- Ultrasound and Hyperthermia Applications
- Orthopedic Infections and Treatments
- Orthopaedic implants and arthroplasty
- Color Science and Applications
- Multiple Sclerosis Research Studies
- Computer Graphics and Visualization Techniques
- Advanced Vision and Imaging
- Cell Image Analysis Techniques
- Image Retrieval and Classification Techniques
- Total Knee Arthroplasty Outcomes
- Visual perception and processing mechanisms
- Image Enhancement Techniques
- Electromagnetic Fields and Biological Effects
- 3D Shape Modeling and Analysis
- Optical measurement and interference techniques
- Image Processing Techniques and Applications
Queen Mary University of London
2020
University College London
2015-2020
National Hospital for Neurology and Neurosurgery
2020
Federico II University Hospital
2020
National Institute for Health Research
2020
Amsterdam UMC Location Vrije Universiteit Amsterdam
2020
To identify pathologic correlates of magnetization transfer ratio (MTR) in multiple sclerosis (MS) an MRI-pathology study.We acquired MTR maps at 3T from 16 fixed MS brains and 4 controls, immunostained 100 tissue blocks for neuronal neurofilaments, myelin (SMI94), macrophages (CD68), microglia (IBA1), B-lymphocytes, T-lymphocytes, cytotoxic astrocytes (glial fibrillary acidic protein), mitochondrial damage (COX4, VDAC). We defined regions interest lesions, normal-appearing white matter...
We propose a method for geometric calibration of multi-focus plenoptic cameras using raw images. Multi-focus feature several types micro-lenses spatially aligned in front the camera sensor to generate micro-images at different magnifications. This multi-lens arrangement provides computational-photography benefits but complicates calibration. Our methodology achieves detection type micro-lenses, retrieval their spatial arrangement, and estimation intrinsic extrinsic parameters therefore fully...
This paper presents a method for correcting erratic pairwise registrations when reconstructing volume from 2D histology slices. Due to complex and unpredictable alterations of the content images, rigid registration between two adjacent slices may fail systematically. Conversely, neighbouring registration, which potentially involves one these slices, will work. grounds our approach: using correct spatial correspondences established through account direct failures. We propose search best...
Colour constancy algorithms range from image statisticsbased pixel intensity manipulation to gamut-mapping methods, and are generally independent of specific contents. In previous work, we have demonstrated that natural polychromatic surfaces possess distinct chromatic signatures in conecontrast space may be exploited for colour constancy, human vision, is improved such objects. Here set out use the specific, recognisable, ubiquitous content skin images drive a gamut mapping method...
Image registration between histology and magnetic resonance imaging (MRI) is a challenging task due to differences in structural content contrast. Too thick wide specimens cannot be processed all at once must cut into smaller pieces. This dramatically increases the complexity of problem, since each piece should individually manually pre-aligned. To best our knowledge, no automatic method can reliably locate such tissue within its respective whole MRI slice, align it without any prior...
Metal-on-metal (MoM) hip arthroplasties have been utilised over the last 15 years to restore function for 1.5 million patients worldwide. Althoug widely used, this arthroplasty releases metal wear debris which lead muscle atrophy. The degree of wastage differs across ranging from mild severe. longterm outcomes with MoM are reduced increasing degrees atrophy, highlighting need automatically segment pathological muscles. automated segmentation soft tissues is challenging as these lack distinct...
Image registration between histology and magnetic resonance imaging (MRI) is a challenging task due to differences in structural content contrast. Too thick wide specimens cannot be processed all at once must cut into smaller pieces. This dramatically increases the complexity of problem, since each piece should individually manually pre-aligned. To best our knowledge, no automatic method can reliably locate such tissue within its respective whole MRI slice, align it without any prior...