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    1. Mentioned In 197 Articles

    2. Clinically applicable deep learning for diagnosis and referral in retinal disease

      Explore Nature Publishing Group Ophthalmology
      Clinically applicable deep learning for diagnosis and referral in retinal disease
      The volume and complexity of diagnostic imaging is increasing at a pace faster than the availability of human expertise to interpret it. Artificial intelligence has shown great promise in classifying two-dimensional photographs of some common diseases and typically relies on databases of millions of annotated images. Until now, the challenge of reaching the performance of expert clinicians in a real-world clinical pathway with three-dimensional diagnostic scans has remained unsolved. Here ...
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      Mentions: University College London Adnan Tufail Pearse A. Keane

    3. Now Google's DeepMind's AI can spot eye disease just as well as your doctor

      Explore WIRED UK Ophthalmology
      Now Google's DeepMind's AI can spot eye disease just as well as your doctor
      When Pearse Keane started using optical coherence tomography (OCT) scanners to peer to the back of a person's eye in Los Angeles a decade ago, the machines were relatively crude. "The devices were lower resolution, they had much slower image acquisition speeds," says Keane, a consultant ophthalmic surgeon at Moorfields Eye Hospital and researcher at University College, London. From 2007, Keane spent two years studying scans from OCT machines ...
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      Mentions: University College London Pearse A. Keane

    7. All-optical dual photoacoustic and optical coherence tomography intravascular probe

      Explore ScienceDirect Cardiology , Probes
      All-optical dual photoacoustic and optical coherence tomography intravascular probe
      Intravascular imaging in percutaneous coronary interventions can be an invaluable tool in the treatment of coronary artery disease. It is of significant interest to provide molecular imaging contrast that is complementary to structural contrast provided by optical coherence tomography (OCT) and intravascular ultrasound imaging (IVUS). In this study, we developed a dual-modality intravascular imaging probe comprising a commercial OCT catheter and a high sensitivity fiber optic ultrasound sensor, to provide ...
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      Mentions: University College London

    8. Two PhD Studentships in Medical Physics & Biomedical Engineering at the University College London

      Explore Optical Coherence Tomography News Jobs & Studentships
      Two PhD Studentships in Medical Physics & Biomedical Engineering at the University College London
      A four year PhD studentship funded by the Royal Society is available to embark on an exciting project developing a computational platform for application in cutting edge biomedical imaging techniques, including optical coherence tomography and photoacoustic tomography. This project has two primary aims: to significantly increase the volumes of tissue within which light propagation can be modelled and to apply this model to address current challenges in biomedical imaging. The ...
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      Mentions: University College London

    9. Feature Of The Week 07/08/2018: Retinal Nerve Fibre Layer Thickness & Cognition - Results from UK Biobank

      Explore Optical Coherence Tomography News Neurology , Ophthalmology
      Feature Of The Week 07/08/2018: Retinal Nerve Fibre Layer Thickness & Cognition - Results from UK Biobank
      Importance: Identifing potential screening tests for future cognitive decline is a priority for developing treatments for and the prevention of dementia. Objective: To examine the potential of retinal nerve fiber layer (RNFL) thickness measurement in identifying those at greater risk of cognitive decline in a large community cohort of healthy people. Design, Setting, and Participants: UK Biobank is a prospective, multicenter, community-based study of UK residents aged 40 to 69 ...
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      Mentions: University College London Topcon Medical Systems Oxford University

    10. DRUNET: a dilated-residual U-Net deep learning network to segment optic nerve head tissues in optical coherence tomography images

      Explore OSA | OSA Publishing Ophthalmology
      DRUNET: a dilated-residual U-Net deep learning network to segment optic nerve head tissues in optical coherence tomography images
      Given that the neural and connective tissues of the optic nerve head (ONH) exhibit complex morphological changes with the development and progression of glaucoma, their simultaneous isolation from optical coherence tomography (OCT) images may be of great interest for the clinical diagnosis and management of this pathology. A deep learning algorithm (custom U-NET) was designed and trained to segment 6 ONH tissue layers by capturing both the local (tissue texture ...
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      Mentions: University College London Singapore Eye Research Institute National University of Singapore

    12. Association of Retinal Nerve Fiber Layer Thinning With Current and Future Cognitive Decline A Study Using Optical Coherence Tomography

      Explore The JAMA Network Neurology , Ophthalmology
      Association of Retinal Nerve Fiber Layer Thinning With Current and Future Cognitive Decline A Study Using Optical Coherence Tomography
      Importance Identifing potential screening tests for future cognitive decline is a priority for developing treatments for and the prevention of dementia. Objective To examine the potential of retinal nerve fiber layer (RNFL) thickness measurement in identifying those at greater risk of cognitive decline in a large community cohort of healthy people. Design, Setting, and Participants UK Biobank is a prospective, multicenter, community-based study of UK residents aged 40 to 69 ...
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      Mentions: University College London Praveen J. Patel Axel Petzold

    13. Realistic simulation and experiment reveals the importance of scatterer microstructure in optical coherence tomography image formation

      Explore OSA | OSA Publishing
      Realistic simulation and experiment reveals the importance of scatterer microstructure in optical coherence tomography image formation
      Realistic simulation of image formation in optical coherence tomography, based on Maxwells equations, has recently been demonstrated for sample volumes of practical significance. Yet, there remains a limitation whereby reducing the size of cells used to construct a computational grid, thus allowing for a more realistic representation of scatterer microstructure, necessarily reduces the overall sample size that can be modelled. This is a significant problem since, as is well known ...
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      Mentions: University College London David D. Sampson Nicolaus Copernicus University

    14. Use of a Binocular Optical Coherence Tomography System to Evaluate Strabismus in Primary Position

      Explore The JAMA Network Ophthalmology
      Use of a Binocular Optical Coherence Tomography System to Evaluate Strabismus in Primary Position
      Importance Current clinical methods for assessing strabismus can be prone to error. Binocular optical coherence tomography (OCT) has the potential to assess and quantify strabismus objectively and in an automated manner. Objective To evaluate the use of a binocular OCT prototype to assess the presence and size of strabismus. Design, Setting, and Participants Fifteen participants with strabismus were recruited in 2016 as part of the EASE study from Moorfields Eye ...
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      Mentions: National Institutes of Health University College London Pearse A. Keane

    15. All-optical intravascular probe for dual-mode photoacoustic imaging and optical coherence tomography

      Explore SPIE Digital Library Cardiology
      All-optical intravascular probe for dual-mode photoacoustic imaging and optical coherence tomography
      Intravascular (IV) imaging in percutaneous coronary interventions can be invaluable to treat coronary artery disease, to facilitate decision making and to guide stent placement. Intravascular ultrasound (IVUS) and optical coherence tomography (OCT) are both established IV imaging modalities. However, achieving contrast for specific structures such as lipid plaques can be challenging; with OCT, visualisation is typically limited to tissue depths less than 2 mm. Photoacoustic (PA) imaging provides contrast that ...
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      Mentions: University College London

    16. Multicenter reliability of semiautomatic retinal layer segmentation using OCT

      Explore Neurology Neurology , Ophthalmology
      Multicenter reliability of semiautomatic retinal layer segmentation using OCT
      Objective To evaluate the inter-rater reliability of semiautomated segmentation of spectral domain optical coherence tomography (OCT) macular volume scans. Methods Macular OCT volume scans of left eyes from 17 subjects (8 patients with MS and 9 healthy controls) were automatically segmented by Heidelberg Eye Explorer (v1.9.3.0) beta-software (Spectralis Viewing Module v6.0.0.7), followed by manual correction by 5 experienced operators from 5 different academic centers ...
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      Mentions: University College London UCSF Friedemann Paul
    17. 1-15 of 197 1 2 3 4 ... 11 12 13 »
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    University College London is the oldest multi-faculty constituent college of the University of London and is one of the two original founding colleges. With 21,800 staff and students, UCL is one of the largest colleges of the University and is larger than most other universities in the United Kingdom. The Department of Medical Physics and Bioengineering has been for many years a joint department of University College London (UCL) and the UCL Hospitals Trust (UCLH).

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