Khattab, Dina
dina.khattab@cis.asu.edu.eg
Interests: Computer Vision, Machine Learning,
Internal ID: rp12344
- 92 Scopus Citations
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Full Name
Khattab, Dina
ORCID
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Biography
received the B.S. and M.S.
degrees in scientific computing and the Ph.D.
degree in computer vision in the field of 2-D/3-
D segmentations and deformations from the Faculty
of Computer and Information Sciences, Ain
Shams University, Cairo, Egypt, in 2003, 2008,
and 2016, respectively.
From 2010 to 2011, she has collaborated as a
Guest Researcher with the Group of Computer
Graphics, Max-Planck Institut Informatik (MPII),
Saarland University, Saarbrücken, Germany. Since 2016, she has been a
Lecturer with the Department of Scientific Computing, Faculty of Computer
and Information Sciences, Ain Shams University. Her activity was in
image segmentation and human model deformations. She has participated in
the Summer School of Deep Learning, Las Palmas, Gran Canaria, Spain,
in 2022. She is the author of more than 20 publications with more than
160 citations. Her research interests include self-supervised learning representation
and scene graph generation for visual scene understanding. She has
contributed to numerous computer vision researches, ranging from theory to
design and implementation, with a focus on improving AI models quality.
Shewas a Guest Editor of the Journal of Imaging Special Issue on Advancing
Color Image Processing, in 2021.
degrees in scientific computing and the Ph.D.
degree in computer vision in the field of 2-D/3-
D segmentations and deformations from the Faculty
of Computer and Information Sciences, Ain
Shams University, Cairo, Egypt, in 2003, 2008,
and 2016, respectively.
From 2010 to 2011, she has collaborated as a
Guest Researcher with the Group of Computer
Graphics, Max-Planck Institut Informatik (MPII),
Saarland University, Saarbrücken, Germany. Since 2016, she has been a
Lecturer with the Department of Scientific Computing, Faculty of Computer
and Information Sciences, Ain Shams University. Her activity was in
image segmentation and human model deformations. She has participated in
the Summer School of Deep Learning, Las Palmas, Gran Canaria, Spain,
in 2022. She is the author of more than 20 publications with more than
160 citations. Her research interests include self-supervised learning representation
and scene graph generation for visual scene understanding. She has
contributed to numerous computer vision researches, ranging from theory to
design and implementation, with a focus on improving AI models quality.
Shewas a Guest Editor of the Journal of Imaging Special Issue on Advancing
Color Image Processing, in 2021.
Type
Subject
- 1 Brain modeling | Data augmentation | Data augmentation | Data balancing | Deep learning | Deep learning | Image classification | Image Inpainting | Image Segmentation | Image segmentation | Magnetic resonance imaging | Medical Imaging | Mixup strategy | Training | Tumors
- 1 deep learning
- 1 downstream task
- 1 feature extraction
- 1 jigsaw
- 1 LSTM
- 1 Mix-based augmentations
- 1 Non-contrastive learning
- 1 Object detection | | |
- 1 pretext task
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