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Daniel Rückert: Federated Disentanglement
Manage episode 347054845 series 2997170
Content provided by Anirban Mukhopadhyay, Henry Krumb, Anirban Mukhopadhyay, and Henry Krumb. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Anirban Mukhopadhyay, Henry Krumb, Anirban Mukhopadhyay, and Henry Krumb or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Professor Rückert’s field of research is the area of Artificial Intelligence (AI) and Machine Learning and their application to medicine and healthcare. His research focuses on (1) the development of innovative algorithms for biomedical image acquisition, image analysis and image interpretation – especially in the areas of image reconstruction, registration, segmentation, tracking and modelling; (2) AI for extracting clinically useful information from biomedical images – especially for computer-assisted diagnosis and prognosis. Since 2020, Daniel Rückert is Alexander von Humboldt Professor for AI in Medicine and Healthcare at the Technical University of Munich. He is also a Professor at Imperial College London.
Federated disentangled representation learning for unsupervised brain anomaly detection
71 episodes
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Manage episode 347054845 series 2997170
Content provided by Anirban Mukhopadhyay, Henry Krumb, Anirban Mukhopadhyay, and Henry Krumb. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Anirban Mukhopadhyay, Henry Krumb, Anirban Mukhopadhyay, and Henry Krumb or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Professor Rückert’s field of research is the area of Artificial Intelligence (AI) and Machine Learning and their application to medicine and healthcare. His research focuses on (1) the development of innovative algorithms for biomedical image acquisition, image analysis and image interpretation – especially in the areas of image reconstruction, registration, segmentation, tracking and modelling; (2) AI for extracting clinically useful information from biomedical images – especially for computer-assisted diagnosis and prognosis. Since 2020, Daniel Rückert is Alexander von Humboldt Professor for AI in Medicine and Healthcare at the Technical University of Munich. He is also a Professor at Imperial College London.
Federated disentangled representation learning for unsupervised brain anomaly detection
71 episodes
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Similar to AI-ready Healthcare
PT Inquest is an online journal club. Hosted by Jason Tuori, Megan Graham, and Chris Juneau, the show looks at an article every week and discusses how it applies to current physical therapy practice.
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continue reading
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…
continue reading
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…
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