{"id":371,"date":"2022-08-02T23:53:30","date_gmt":"2022-08-02T23:53:30","guid":{"rendered":"https:\/\/pc-keeper.tech\/index.php\/2022\/08\/02\/tccls-phd-thesis-award-winners\/"},"modified":"2022-08-02T23:53:30","modified_gmt":"2022-08-02T23:53:30","slug":"tccls-phd-thesis-award-winners","status":"publish","type":"post","link":"https:\/\/pc-keeper.tech\/index.php\/2022\/08\/02\/tccls-phd-thesis-award-winners\/","title":{"rendered":"TCCLS PhD Thesis Award Winners"},"content":{"rendered":"

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\"WinnersThe IEEE Technical Community on Computational Life Sciences (TCCLS) has announced the winning recipients of its TCCLS 2021 PhD Thesis Award, who will receive an honorarium of US$800. This award highlights the contributions to aspects of computational methods and tools with applications in the life sciences, including biology, medicine, healthcare services, and informatics, bioinformatics, artificial intelligence, and system biology. Awardees were evaluated on the degree of innovation in their proposed methodology or technology, the potential for application in real-world situations, and potential effectiveness.<\/p>\n

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TCCLS 2021 PhD Thesis Winners<\/h2>\n
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Mara Graziani, University of Gen\u00e8ve<\/h3>\n

\"HeadshotInterpretability of Deep Learning for Medical Image Classification: Improved Understandability and Generalization<\/strong><\/p>\n

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Vajira Thamabawita, OsloMET<\/h3>\n

\"HeadshotDeepsynthbody: The Beginning of the End for Data Deficiency in Medicine<\/strong><\/p>\n

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Award Selection Committee<\/h2>\n
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