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Dr. Ali Karaali
Research Fellow, Medical Gerontology

Biography

Dr. Ali Karaali is a Research Fellow in Medical School, Trinity College Dublin, and conducting research on health informatics. His current research involves machine learning, computer vision and deep learning in the domain of medical data and imaging. He collaborates with Dr. Donal J. Sexton, who is a consultant Nephrologist and Kidney Transplant Physician at St James's Hospital Dublin and a Professor at Trinity College Dublin.

He holds a Doctorate of Philosophy degree from the department of Informatics, Federal University of Rio Grande do Sul (UFRGS), RS, Brazil. During his PhD, he mostly worked on signal processing and published top tier peer reviewed publications in journals and conference proceedings e.g. Transactions on Image Processing and International Conference on Image Processing. An up-to-date publication list can be seen at google scholar (https://scholar.google.com/citations?user=AwNEYdcAAAAJ&hl=en).

Publications and Further Research Outputs

Peer-Reviewed Publications

Ali Karaali, Rozenn Dahyot, Donal J. Sexton, DR-VNet: Retinal Vessel Segmentation via Dense Residual UNet, International Conference on Pattern Recognition and Artificial Intelligence, Paris, 2022., 2022 Conference Paper, 2022 URL

A Karaali and N Harte and CR Jung, Deep Multi-Scale Feature Learning for Defocus Blur Estimation, IEEE Transactions on Image Processing, 2022 Journal Article, 2022 DOI

Ali Karaali, Claudio Rosito Jung, SVBR-NET: A Non-Blind Spatially Varying Defocus Blur Removal Network, IEEE International Conference on Image Processing, Bordeaux, France, October 16-19, 2022, 2022 Conference Paper, 2022 URL

A Fernandez-Lopez, A. Karaali, N. Harte, FM. Sukno, CoGANs for Unsupervised Visual Speech Adaptation To New Speakers, IEEE International Conference on Acoustics, Speech and Signal Processing, Barcelona, Spain, 2020 Conference Paper, 2020 DOI

Ali Karaali, Claudio Rosito Jung, Francois Pitie, Temporal Consistency For Still Image Based Defocus Blur Estimation Methods, IEEE International Conference on Image Processing, Athens, Greece, 2018 Conference Paper, 2018 DOI

Laura Dungan, Ali Karaali, Naomi Harte, The Impact Of Reduced Video Quality On Visual Speech Recognition, IEEE International Conference on Image Processing, Athens, Greece, 2018 Conference Paper, 2018 DOI

Ali Karaali, Claudio Rosito Jung, Edge-Based Defocus Blur Estimation with Adaptive Scale Selection, IEEE Transactions on Image Processing, 2018 Journal Article, 2018 DOI

Ali Karaali, Claudio Rosito Jung, Image Retargeting Based on Spatially Varying Defocus Blur, IEEE International Conference on Image Processing, Phoenix, AZ, USA, 2016 Conference Paper, 2016 DOI

Ali Karaali, Claudio Rosito Jung, Adaptive scale selection for multiresolution defocus blur estimation, IEEE International Conference on Image Processing, Paris, France, 2014 Conference Paper, 2014 DOI

Cigdem Eroglu Erdem, Sezer Ulukaya, Ali Karaali, Arif Tanju Erdem,, Combining Haar Feature and skin color based classifiers for face detection, IEEE International Conference on Acoustics, Speech and Signal Processing, Prague, Czech Republic, 2012 Conference Paper, 2012 DOI

Ali Karaali, Cigdem Eroglu Erdem, Sezer Ulukaya,, Multipose Face Detection Using Zernike Moment Invariants, IEEE Signal Processing and Applications Conference, 2012 Conference Paper, 2012

C. Okan Şakar, O. Kurşun, Ali Karaali, Ç. E. Erdem, Feature Extraction for Facial Expression Recognition by Canonical Correlation Analysis, IEEE Signal Processing and Applications Conference, 2012 Conference Paper, 2012

Research Expertise

Keywords

ARTIFICIAL INTELLIGENCE; Computer Vision; deep learning; MACHINE LEARNING; Medical Image Processing ; Signal, Video & Audio Processing