Ayse Oktay

Assoc. Prof., Yildiz Technical University

Research Expertise

Medical image analysis
Computer vision
Machine learning
Pattern recognition
Data science
Structural Biology
Cell Biology
Computer Science Applications
Artificial Intelligence
Biomedical Engineering
Computer Graphics and Computer-Aided Design
Health Informatics
Computer Vision and Pattern Recognition
Radiological and Ultrasound Technology
Radiology, Nuclear Medicine and imaging
Signal Processing
Software
Information Systems
Bioengineering
Biophysics
Biomaterials
Surgery
Orthopedics and Sports Medicine
Rehabilitation
Education
Library and Information Sciences
Statistics and Probability
Statistics, Probability and Uncertainty
Public Health, Environmental and Occupational Health
Health (social science)
Hardware and Architecture
Computer Networks and Communications
Media Technology
Geography, Planning and Development
Development

About

Experienced academic and researcher specializing in data science and computer vision, with a proven track record in academia and industry. Proficient in Computer Vision, Machine Learning, and Image Processing, with published many works recognized by over 1000 citations in peer-reviewed publications. Proven ability to collaborate effectively within multidisciplinary teams to tackle complex problems and deliver innovative solutions.  Advocate for teamwork, effective communication, and mentorship.

Legacy Map

Full View

Publications

Forecasting air pollutant indicator levels with geographic models 3days in advance using neural networks
Expert Systems with Applications
2010
An online air pollution forecasting system using neural networks
Environment International
2008
Automatic detection, localization and segmentation of nano-particles with deep learning in microscopy images
Micron
2019
Tooth detection with Convolutional Neural Networks
2017 Medical Technologies National Congress (TIPTEKNO)
2017
Simultaneous Localization of Lumbar Vertebrae and Intervertebral Discs With SVM-Based MRF
IEEE Transactions on Biomedical Engineering
2013
Computer aided diagnosis of degenerative intervertebral disc diseases from lumbar MR images
Computerized Medical Imaging and Graphics
2014
Localization of the Lumbar Discs Using Machine Learning and Exact Probabilistic Inference
Lecture Notes in Computer Science
2011
Differential diagnosis of Parkinson and essential tremor with convolutional LSTM networks
Biomedical Signal Processing and Control
2020
Human identification with dental panoramic radiographic images
IET Biometrics
2017
Nintendo Wii assessment of Hoehn and Yahr score with Parkinson's disease tremor
Technology and Health Care
2016
Nanoparticle detection from TEM images with deep learning
2018 26th Signal Processing and Communications Applications Conference (SIU)
2018
The validity of an objective measurement method using the Leap Motion Controller for fingers wrist, and forearm ranges of motion
Hand Surgery and Rehabilitation
2021
Tooth Restoration and Dental Work Detection on Panoramic Dental Images via CNN
2020 Medical Technologies Congress (TIPTEKNO)
2020
Human Identification with Panoramic Dental Images using Mask R-CNN and SURF
2020 5th International Conference on Computer Science and Engineering (UBMK)
2020
Air Pollution Forecasting with Random Forest Time Series Analysis
2018 International Conference on Artificial Intelligence and Data Processing (IDAP)
2018
Forecasting CO<inf>2</inf> Emission with Machine Learning Methods
2018 International Conference on Artificial Intelligence and Data Processing (IDAP)
2018
Diagnosis of COVID-19 with a Deep Learning Approach on Chest CT Slices
2020 Medical Technologies Congress (TIPTEKNO)
2020
Diagnosis of Degenerative Intervertebral Disc Disease with Deep Networks and SVM
Communications in Computer and Information Science
2016
Automatic Tooth Identification in Dental Panoramic Images with Atlas-based Models
Proceedings of the International Conference on Pattern Recognition Applications and Methods
2015
Prostate detection from abdominal ultrasound images: A part based approach
2015 IEEE International Conference on Image Processing (ICIP)
2015
Segmentation of Fe<inf>3</inf>O<inf>4</inf> nano particles in TEM images
2014 22nd Signal Processing and Communications Applications Conference (SIU)
2014
Prior information based segmentation: A 3D level set surface matching approach
2008 23rd International Symposium on Computer and Information Sciences
2008
A Novel Level Set Based Echocardiographic Contour Extraction Method with Prior Knowledge
Procedings of the British Machine Vision Conference 2008
2008
Detection, segmentation, and numbering of teeth in dental panoramic images with mask regions with convolutional neural network features
State of the Art in Neural Networks and their Applications
2021
Echocardiographic contour extraction with local and global priors through boosting and level sets
2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
2009
A physiological signal database of children with different special needs for stress recognition
Scientific Data
2023
Age Estimation from Pediatric Panoramic Dental Images with CNNs and LightGBM
2022 Medical Technologies Congress (TIPTEKNO)
2022
Development of a Balance System Including Virtual Reality Applications for the Evaluation and Improvement of Balance: Physiotherapy–Engineering Cooperation
Archives of Health Science and Research
2022
Locating cardiac walls with Adaboost and level sets
2010 IEEE 18th Signal Processing and Communications Applications Conference
2010
Architectural Design Methodologies for Complex Evolving Systems
12th IEEE International Conference on Engineering Complex Computer Systems (ICECCS 2007)
2007
Differentiation of lung and breast cancer brain metastases: Comparison of texture analysis and deep convolutional neural networks
Journal of Clinical Ultrasound
2023
Prostate localization from abdominal ultrasound images by using a two-level approach
2017 25th Signal Processing and Communications Applications Conference (SIU)
2017
Extraction of left ventricle borders with local and global priors from echocardiograms
Machine Vision and Applications
2012
Desiccation detection from lumbar MR images
2013 21st Signal Processing and Communications Applications Conference (SIU)
2013
Localization of intervertebral lumbar discs
2012 20th Signal Processing and Communications Applications Conference (SIU)
2012
Artificial neural networks based modelling of carbon monoxide: Effects of spatial parameters
Information Technologies in Environmental Engineering
2009
Stress recognition from facial images in children during physiotherapy with serious games
Expert Systems with Applications
2024
Middle East region: Turkey
Rehabilitation Robots for Neurorehabilitation in High-, Low-, and Middle-Income Countries
2024
Fizyoterapist ve Mühendis İş Birliği ile Rehabilitasyon Yazılımının Geliştirilmesi: Omuz Rehabilitasyonu Pilot Çalışması
Gümüşhane Üniversitesi Sağlık Bilimleri Dergisi
2023
Dental biometric systems: a comparative study of conventional descriptors and deep learning-based features
Multimedia Tools and Applications
2022
Fen Bilimleri Öğretmen Adaylarının Grafik Okuma, Yorumlama ve Çizme Becerilerinin İncelenmesi
İlköğretim Online
2018
Büyükten Küçüğe Oto-kodlayıcılar ile dişlerin konumlandırılması*
Bilişim Teknolojileri Dergisi
2018
FiCloud-2022 Program Committee
2022 9th International Conference on Future Internet of Things and Cloud (FiCloud)
2022
Bitcoin Fiyat Değişimlerinin Makine Öğrenmesi Yöntemi ile Tahmin Edilmesi (Prediction of the Bitcoin Price Changes Through Machine Learning)
Journal of Business Research - Turk
2023
Code Clone Detection with Convolutional Neural Networks
Bilişim Teknolojileri Dergisi
2020

Education

Gebze Institute of Technology

PhD, Computer Engineering / July, 2011

Gebze

Fatih University

MS, Computer Engineering / September, 2006

Istanbul

Fatih University

BS, Computer Engineering

Istanbul

Experience

Université Libre de Bruxelles, Belgium

Yildiz Technical University, Istanbul, Turkey

Associate Professor / September, 2021 — February, 2024

Yapay Nazar Inc.

Data Scientist, co-founder / May, 2015 — June, 2022

 Visual Reality Based Physical Therapy and Rehabilitation System (2017-2022): Worked on several projects for computer-guided physiotherapy and serious games with various sensors with Becure Inc. Adopted machine learning and deep learning algorithms for monitoring patients. Developed a facial emotion recognition model.  Market Shelf Analysis (2012-2015): Co-founded a start-up named Yapay Nazar Inc. for detection and counting the FMCGs in retail shelves using machine learning and image processing methods. Developed a mobile application for shelf detection and FMCG detection.  Managed a team of 5 employees.

Links & Social Media

Research Web Site

Join Dr. Oktay on NotedSource!
Join Now

At NotedSource, we believe that professors, post-docs, scientists and other researchers have deep, untapped knowledge and expertise that can be leveraged to drive innovation within companies. NotedSource is committed to bridging the gap between academia and industry by providing a platform for collaboration with industry and networking with other researchers.

For industry, NotedSource identifies the right academic experts in 24 hours to help organizations build and grow. With a platform of thousands of knowledgeable PhDs, scientists, and industry experts, NotedSource makes connecting and collaborating easy.

For academic researchers such as professors, post-docs, and Ph.D.s, NotedSource provides tools to discover and connect to your colleagues with messaging and news feeds, in addition to the opportunity to be paid for your collaboration with vetted partners.

Expert Institutions
NotedSource has experts from Stanford University
Expert institutions using NotedSource include Oxfort University
Experts from McGill have used NotedSource to share their expertise
University of Chicago experts have used NotedSource
MIT researchers have used NotedSource
Proudly trusted by
Microsoft uses NotedSource for academic partnerships
Johnson & Johnson academic research projects on NotedSource
ProQuest (Clarivate) uses NotedSource as their industry academia platform
Slamom consulting engages academics for research collaboration on NotedSource
Omnicom and OMG find academics on notedsource
Unilever research project have used NotedSource to engage academic experts

Connect with researchers and scientists like Ayse Oktay on NotedSource to help your company with innovation, research, R&D, L&D, and more.