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Indhold leveret af Anirban Mukhopadhyay, Henry Krumb, Anirban Mukhopadhyay, and Henry Krumb. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Anirban Mukhopadhyay, Henry Krumb, Anirban Mukhopadhyay, and Henry Krumb eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
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Daniel Rückert: Federated Disentanglement

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Manage episode 347054845 series 2997170
Indhold leveret af Anirban Mukhopadhyay, Henry Krumb, Anirban Mukhopadhyay, and Henry Krumb. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Anirban Mukhopadhyay, Henry Krumb, Anirban Mukhopadhyay, and Henry Krumb eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.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

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71 episoder

Artwork
iconDel
 
Manage episode 347054845 series 2997170
Indhold leveret af Anirban Mukhopadhyay, Henry Krumb, Anirban Mukhopadhyay, and Henry Krumb. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Anirban Mukhopadhyay, Henry Krumb, Anirban Mukhopadhyay, and Henry Krumb eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.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

  continue reading

71 episoder

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