Seminario 20 de Mayo 2025

INTERNATIONAL INVITED SPEAKER
ILKAY OKSUZ

Associate Professor
Computer Engineering Department
Istanbul Technical University

TITLE: “Detection and Correction of Medical Image Quality Issues Using Deep Learning”

ABSTRACT: Good quality of medical images is a prerequisite for the success of subsequent image analysis pipelines. Quality assessment of medical images is therefore an essential activity and for large population studies such as the UK Biobank, manual identification of artefacts such as those caused by unanticipated motion is tedious and time-consuming. In this talk, recent work on detection of wrong cardiac planning, cardiac motion artefacts, prostate MRI quality issues and correct mammography positioning using deep learning techniques will be described. The details of deep learning architectures and machine learning methodologies will be given with a certain focus on synthetic k-space corruption and curriculum learning techniques. In the last part of the talk, the mechanisms to correct image artefacts will be discussed alongside their influence on achieving high segmentation accuracy with reinforcement learning setups.

SHORT BIO: Dr. Ilkay Oksuz  is currently an Associate Prof. in the Computer Engineering Department of Istanbul Technical University. His current research interests are in machine learning and deep learning, with a focus on medical image quality assessment, medical image reconstruction and segmentation. He has been working as  a member of the King's College London Biomedical Engineering Department under mentorship of Dr. Andrew King and Prof. Julia Schnabel since  August 2017. He got his Ph.D. degree in Computer, Decision and Systems Science from IMT School for Advanced Studies Lucca, under supervision of Prof. Sotirios Tsaftaris. In 2017, he worked as a visiting researcher in IDCOM lab of The University of Edinburgh. In 2016, he was a postgraduate fellow at Diagnostic Radiology Department of Yale University under mentorship of Prof. Xenios Papademetris.

iHEALTH SPEAKER
BRUNO ARAYA

Master’s student
Magíster en Ciencias de la Ingeniería, mención Eléctrica
Universidad de Chile

TITLE: "Detection of focal cortical dysplasia in brain magnetic resonance images"

SHORT BIO: Bruno is Electric Engineer and Master’s Student of Science in from Universidad de Chile. 

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