1. University College London

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    1. Mentioned In 199 Articles

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

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

      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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    4. Swept‐source optical coherence tomography angiography features of subretinal fibrosis in neovascular age‐related macular degeneration

      Swept‐source optical coherence tomography angiography features of subretinal fibrosis in neovascular age‐related macular degeneration
      Importance The study highlights the role of Optical Coherence Angiography in the management of patients with neovascular age‐related macular degeneration who have developed subretinal fibrosis. Background Development of subretinal fibrosis in the context of neovascular age‐related macular degeneration is known to adversely affect visual function. The aim of this study is to assess structure and flow features obtained through swept‐source optical coherence tomography angiography in patients with ...
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    5. All-optical dual photoacoustic and optical coherence tomography intravascular probe

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

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

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

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

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

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

      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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  2. About University College London

    University College London

    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).