Ömer Sümer
YOU?
Author Swipe
View article: Evaluation of a Deep Learning and XAI based Facial Phenotyping Tool for Genetic Syndromes: A Clinical User Study
Evaluation of a Deep Learning and XAI based Facial Phenotyping Tool for Genetic Syndromes: A Clinical User Study Open
Artificial intelligence (AI) tools are increasingly employed in clinical genetics to assist in diagnosing genetic conditions by assessing photographs of patients. For medical uses of AI, explainable AI (XAI) methods offer a promising appro…
View article: Large-scale Self-supervised Video Foundation Model for Intelligent Surgery
Large-scale Self-supervised Video Foundation Model for Intelligent Surgery Open
Computer-Assisted Intervention (CAI) has the potential to revolutionize modern surgery, with surgical scene understanding serving as a critical component in supporting decision-making, improving procedural efficacy, and ensuring intraopera…
View article: Approximating facial expression effects on diagnostic accuracy <i>via</i> generative AI in medical genetics
Approximating facial expression effects on diagnostic accuracy <i>via</i> generative AI in medical genetics Open
Summary Artificial intelligence (AI) is increasingly used in genomics research and practice, and generative AI has garnered significant recent attention. In clinical applications of generative AI, aspects of the underlying datasets can imp…
View article: Comparison of clinical geneticist and computer visual attention in assessing genetic conditions
Comparison of clinical geneticist and computer visual attention in assessing genetic conditions Open
Artificial intelligence (AI) for facial diagnostics is increasingly used in the genetics clinic to evaluate patients with potential genetic conditions. Current approaches focus on one type of AI called Deep Learning (DL). While DL- based f…
View article: ENHANCING PUBLIC SPEAKING SKILLS OF STUDENTS: A TWO-GROUP EXPERIMENTAL STUDY WITH THERAPEUTIC INTERVENTION
ENHANCING PUBLIC SPEAKING SKILLS OF STUDENTS: A TWO-GROUP EXPERIMENTAL STUDY WITH THERAPEUTIC INTERVENTION Open
Public speaking and presentation competence plays an essential role in many areas of social interaction in our educational, professional, and everyday life. Since our intention during a speech can differ from what is actually understood by…
View article: Facial Genetic Syndromes Database
Facial Genetic Syndromes Database Open
This database contains 3544 face images of individuals with 11 genetic conditions and unaffected (without any diagnosed condition). As well as raw images and syndrome labels, we provide face bounding boxes, 5-point facial landmarks on the …
View article: Facial Genetic Syndromes Database
Facial Genetic Syndromes Database Open
This database contains 3544 face images of individuals with 11 genetic conditions and unaffected (without any diagnosed condition). As well as raw images and syndrome labels, we provide face bounding boxes, 5-point facial landmarks on the …
View article: Facial Genetic Syndromes Database
Facial Genetic Syndromes Database Open
This database contains 3544 face images of individuals with 11 genetic conditions and unaffected (without any diagnosed condition). As well as raw images and syndrome labels, we provide face bounding boxes, 5-point facial landmarks on the …
View article: Human and computer attention in assessing genetic conditions
Human and computer attention in assessing genetic conditions Open
Deep learning (DL) and other types of artificial intelligence (AI) are increasingly used in many biomedical areas, including genetics. One frequent use in medical genetics involves evaluating images of people with potential genetic conditi…
View article: Few-Shot Meta-Learning for Recognizing Facial Phenotypes of Genetic Disorders
Few-Shot Meta-Learning for Recognizing Facial Phenotypes of Genetic Disorders Open
Computer vision has useful applications in precision medicine and recognizing facial phenotypes of genetic disorders is one of them. Many genetic disorders are known to affect faces’ visual appearance and geometry. Automated classification…
View article: Improving Deep Facial Phenotyping for Ultra-rare Disorder Verification Using Model Ensembles
Improving Deep Facial Phenotyping for Ultra-rare Disorder Verification Using Model Ensembles Open
Rare genetic disorders affect more than 6% of the global population. Reaching a diagnosis is challenging because rare disorders are very diverse. Many disorders have recognizable facial features that are hints for clinicians to diagnose pa…
View article: Few-Shot Meta Learning for Recognizing Facial Phenotypes of Genetic Disorders
Few-Shot Meta Learning for Recognizing Facial Phenotypes of Genetic Disorders Open
Computer vision-based methods have valuable use cases in precision medicine, and recognizing facial phenotypes of genetic disorders is one of them. Many genetic disorders are known to affect faces' visual appearance and geometry. Automated…
View article: Are 3D Face Shapes Expressive Enough for Recognising Continuous Emotions and Action Unit Intensities?
Are 3D Face Shapes Expressive Enough for Recognising Continuous Emotions and Action Unit Intensities? Open
Recognising continuous emotions and action unit (AU) intensities from face videos requires a spatial and temporal understanding of expression dynamics. Existing works primarily rely on 2D face appearances to extract such dynamics. This wor…
View article: Multimodal Engagement Analysis From Facial Videos in the Classroom
Multimodal Engagement Analysis From Facial Videos in the Classroom Open
Student engagement is a key construct for learning and teaching. While most of the literature explored the student engagement analysis on computer-based settings, this paper extends that focus to classroom instruction. To best examine stud…
View article: Multimodal Engagement Analysis from Facial Videos in the Classroom
Multimodal Engagement Analysis from Facial Videos in the Classroom Open
Student engagement is a key construct for learning and teaching. While most of the literature explored the student engagement analysis on computer-based settings, this paper extends that focus to classroom instruction. To best examine stud…
View article: FakeNewsPerception: An Eye Movement Dataset on the Perceived Believability of News Stories
FakeNewsPerception: An Eye Movement Dataset on the Perceived Believability of News Stories Open
FakeNewsPerception: An Eye Movement Dataset on the Perceived Believability of News Stories Extensive use of the internet has enabled easy access to many different sources, such as news and social media. Content shared on the internet canno…
View article: Automated Anonymisation of Visual and Audio Data in Classroom Studies
Automated Anonymisation of Visual and Audio Data in Classroom Studies Open
Understanding students' and teachers' verbal and non-verbal behaviours during instruction may help infer valuable information regarding the quality of teaching. In education research, there have been many studies that aim to measure studen…
View article: Attentive or Not? Toward a Machine Learning Approach to Assessing Students’ Visible Engagement in Classroom Instruction
Attentive or Not? Toward a Machine Learning Approach to Assessing Students’ Visible Engagement in Classroom Instruction Open
Teachers must be able to monitor students’ behavior and identify valid cues in order to draw conclusions about students’ actual engagement in learning activities. Teacher training can support (inexperienced) teachers in developing these sk…
View article: Teacher's Perception in the Classroom
Teacher's Perception in the Classroom Open
The ability for a teacher to engage all students in active learning processes in classroom constitutes a crucial prerequisite for enhancing students achievement. Teachers' attentional processes provide important insights into teachers' abi…
View article: Teacher's Perception in the Classroom
Teacher's Perception in the Classroom Open
The ability for a teacher to engage all students in active learning processes in classroom constitutes a crucial prerequisite for enhancing students achievement. Teachers' attentional processes provide important insights into teachers' abi…
View article: Self-Supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos
Self-Supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos Open
Human pose analysis is presently dominated by deep convolutional networks trained with extensive manual annotations of joint locations and beyond. To avoid the need for expensive labeling, we exploit spatiotemporal relations in training vi…
View article: Self-supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos
Self-supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos Open
Human pose analysis is presently dominated by deep convolutional networks trained with extensive manual annotations of joint locations and beyond. To avoid the need for expensive labeling, we exploit spatiotemporal relations in training vi…