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Browsing Fakülteler / Faculties by Author "Filiz Bunyak"

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Deep learning approaches in electron microscopy imaging for mitochondria segmentation

Öztel, İsmail; Yolcu Öztel, Gözde; Ilker Ersoy; Tommi A. White; Filiz Bunyak (INDERSCIENCE ENTERPRISES LTD, 2018)

Deep neural networks provide outstanding classification and detection accuracy in biomedical imaging applications. We present a study for mitochondria segmentation in electron microscopy (EM) images. Mitochondria play a ...
Deep learning-based face analysis system for monitoring customer interest

Gozde Yolcu; Öztel, İsmail; Çakar, Serap; Öz, Cemil; Filiz Bunyak (SPRINGER HEIDELBERG, 2020)

In marketing research, one of the most exciting, innovative, and promising trends is quantification of customer interest. This paper presents a deep learning-based system for monitoring customer behavior specifically for ...
Facial expression recognition for monitoring neurological disorders based on convolutional neural network

Yolcu Öztel, Gözde; Öztel, İsmail; Çakar, Serap; Öz, Cemil; Kannappan Palaniappan; Teresa E. Lever; Filiz Bunyak (SPRINGER, 2019)

Facial expressions are a significant part of non-verbal communication. Recognizing facial expressions of people with neurological disorders is essential because these people may have lost a significant amount of their ...
iFER: facial expression recognition using automatically selected geometric eye and eyebrow features

Öztel, İsmail; Yolcu Öztel, Gözde; Öz, Cemil; Kazan, Serap; Filiz Bunyak (IS&T & SPIE, 2018)

Facial expressions have an important role in interpersonal communications and estimation of emotional states or intentions. Automatic recognition of facial expressions has led to many practical applications and became one ...