A5048434712- Advanced Neuroimaging Techniques and Applications
- MRI in cancer diagnosis
- Cutaneous Melanoma Detection and Management
- Advanced MRI Techniques and Applications
- Bone and Joint Diseases
- Nonmelanoma Skin Cancer Studies
- Water Systems and Optimization
- Water resources management and optimization
- Hydraulic and Pneumatic Systems
- Hydraulic flow and structures
- Brain Tumor Detection and Classification
- Smart Grid Energy Management
- Medical Imaging and Analysis
- Advanced Neural Network Applications
- Poxvirus research and outbreaks
- Advanced Image Processing Techniques
- AI in cancer detection
Istanbul Technical University
2015-2022
Research Centre Inria Sophia Antipolis - Méditerranée
2021
Université Côte d'Azur
2021
Diffusion MRI (dMRI) has become an invaluable tool to assess the microstructural organization of brain tissue. Depending on specific acquisition settings, dMRI signal encodes properties underlying diffusion process. In last two decades, several representations have been proposed fit and decode such properties. Most methods, however, are tested developed a limited amount data, their applicability other schemes remains unknown. With this work, we aimed shed light generalizability existing...
Between cancer types, Melanom is the one of most deadliest form. Although, dermoscopy increased rate diagnosis disease, time detection disease depends on experience physicist. There great effort to using computerized techniques. In this paper, for that purpose, we propose new method uses fourier descriptors. After segmentation dermoscopic images, they are classified extracted descriptors lesion border.
Su dağıtım sistemlerindeki su kayıplarının azaltılması su, enerji, arıtma ve zaman tasarrufu açısından oldukça gereklidir. azaltılması, ancak hidrolik model yardımıyla basınç yönetimi yapılarak efektif olarak gerçekleştirilebilir. Sabit çıkışlı düşürücü vanalarla bu işlem yapılmaya çalışıldığında ya kritik noktanın minimum değerinin altına düşmesi, da yönetiminden istenen verimin alınamaması muhtemeldir. Bu sebeple özellikle tüketim paterninin büyük salınımlar gösterdiği şehirlerde gerçek...
Abstract Diffusion MRI (dMRI) has become an invaluable tool to assess the microstructural organization of brain tissue. Depending on specific acquisition settings, dMRI signal encodes properties underlying diffusion process. In last two decades, several representations have been proposed fit and decode such properties. Most methods, however, are tested developed a limited amount data, their applicability other schemes remains unknown. With this work, we aimed shed light generalizability...
It is very important to scan the skin lesions in general population, and forward suspicious cases dermatologists. Typically, number of dermatologists not enough for such a wide scanning campaign. Hence, an automated system algorithms are required that can detect lesions. These systems should be highly accurate sensitive. In this work, developed from digital images using shape color features. This tested on PH2 database. The has 91.5% accuracy, 92.5% sensitivity 87.5% specificity.
In this paper, a three dimensional convolutional neural network based solution is proposed for classification of brain tissues as lesion or healthy in terms ischemic stroke disease. Three data used work are obtained by magnetic resonance imaging technique. Proposed method compared with traditional methods that the same category, via K-fold cross validation technique sensitivity, specificity and accuracy measures. conclusion, it nearly 89% using our method. Comparing others, best