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“Medical image analysis using deep learning” – Guest Talk

  • 2018-12-14
  • Research

Oge Marques (Florida Atlantic University, USA) highlights the growing impact of increasingly popular deep learning techniques.

A professor of Computer Science and Engineering, Oge Marques presents highlights of the most recent and impacting research results in this field, including high-profile articles describing the design and implementation of intelligent medical imaging-based diagnosis systems capable of outperforming human experts – and the associated controversy. It also provides a technical overview of representative deep learning architectures, technical challenges, datasets, and public competitions. Just as importantly, it explains the context in which these advancements are taking place, and the main obstacles to their widespread adoption by the medical community at large.

Biography

Oge Marques, PhD is Professor of Computer Science and Engineering at the College of Engineering and Computer Science at Florida Atlantic University (FAU) (Boca Raton, Florida, USA). He is Tau Beta Pi Eminent Engineer, ACM Distinguished Speaker, and the author of more than 100 publications in the area of intelligent processing of visual information – which combines the fields of image processing, computer vision, image retrieval, machine learning, serious games, and human visual perception –, including the textbook “Practical Image and Video Processing Using MATLAB” (Wiley-IEEE Press). Professor Marques is Senior Member of both the IEEE (Institute of Electrical and Electronics Engineers) and the ACM (Association for Computing Machinery) and member of the honor societies of Sigma Xi, Phi Kappa Phi and Upsilon Pi Epsilon. He has more than 30 years of teaching and research experience in different countries (USA, Austria, Brazil, France, India, Spain, Serbia, and the Netherlands).

Speakers

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