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University of Cambridge > Talks.cam > Cambridge MedAI Seminar Series > Short cuts make long delays: Machine Learning for COVID-19 and Medical Imaging
Short cuts make long delays: Machine Learning for COVID-19 and Medical ImagingAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Ines Machado. We are delighted to introduce our fourth speaker Dr Ian Selby. Dr Ian Selby is a Clinical Research Associate and PhD Student at the Department of Radiology, University of Cambridge, and an Honorary Radiology Registrar at Addenbrooke’s Hospital. He is part of the AIX-COVNET collaboration aiming to produce open-source artificial intelligence tools that combine chest imaging with clinical and laboratory data to support diagnosis, triage and treatment planning for respiratory disease, particularly COVID -19. His personal interest focuses on the fairness and generalisability of chest x-ray models and how these might be improved by maximising the quality of data during development. He is also a member of the Radiogenomics and Quantitative Image Analysis group and the DRAGON project. We hope to host seminars on a monthly basis during term times open to all Biomedical Campus staff, students and affiliates. The seminars are intended for a multidisciplinary audience. Presentations last approximately 30 minutes, after which there is plenty of time for questions and discussions. If you have any questions or are interested in presenting your research work, please email Dimitri Kessler (dak50@cam.ac.uk) or Ines Machado (im549@cam.ac.uk). Looking forward to welcoming you soon! Ines Machado and Dimitri Kessler This is a hybrid event so you can also join via Zoom: Topic: AI in Medical Imaging Research Seminar Time: Jan 24, 2023 11:00 London Join Zoom Meeting https://zoom.us/j/97185126906?pwd=cDc5cjlnUW9TRmpOMkdyazk3cHhMUT09 Meeting ID: 971 8512 6906 Passcode: 566562 One tap mobile +441314601196,,97185126906#,,,,566562# United Kingdom +442034815237,,97185126906#,,,,566562# United Kingdom Dial by your location Meeting ID: 971 8512 6906 Passcode: 566562 Find your local number: https://zoom.us/u/abYig86JL3 This talk is part of the Cambridge MedAI Seminar Series series. This talk is included in these lists:
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Tuesday 24 January 2023, 11:00-12:00