Univerza na Primorskem Fakulteta za matematiko, naravoslovje in informacijske tehnologije
SI | EN

petek, 20. maj 2022 prof. Amira ŠERIFOVIĆ TRBALIĆ: Applications of deep learning for the medical data analysis

V ponedeljek, 23. maja 2022, bo ob 16.00 uri v predavalnici FAMNIT-VP2 izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 23. maj 2022 ob 16.00 v FAMNIT-VP2

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PREDAVATELJICA: prof. Amira ŠERIFOVIĆ TRBALIĆ
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Amira Šerifović Trbalić was born in Tuzla, Bosnia and Herzegovina in 1978. She received her B.Sc. degree from the Faculty of Electrical Engineering, University of Tuzla, Bosnia and Herzegovina in 2002. In 2006, she received the M.Sc. degree in computer science at the Faculty of Electrical Engineering, University of Tuzla. She finished her doctoral thesis on medical image registration at the University of Tuzla in 2011. Research for the doctoral dissertation was conducted within the framework of the joint research project with the Computer Vision Lab, ETH Zurich, Switzerland. In 2012, she became an Assistant Professor at the University of Tuzla and was promoted to Associate Professor in 2018. Her research interests include image processing and analysis, pattern recognition, computer vision and artificial intelligence. As a principal investigator or as a participant, she was involved in many projects in these areas and published over 40 research papers, books and book chapter.

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NASLOV: Applications of deep learning for the medical data analysis
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POVZETEK:

This talk will present an overview of deep learning (DL) and discuss some recent successful applications in medicine. It will provide examples of how deep learning can be used in different problem areas and frameworks in both clinical and research settings, including medical image analysis, time series analysis, medical data synthesis and pre-processing operations. The talk will conclude with a discussion of relevant deep learning methods and their strengths and limitations.

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Seminar bo potekal v angleškem jeziku.

Vabljeni!