Kurum Yazarı "Ateş, Hasan Fehmi" Computer Engineering İçin Listeleme
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A deep learning approach to permanent tooth germ detection on pediatric panoramic radiographs
Kaya, Emine; Güneç, Hüseyin Gürkan; Cesur Aydın, Kader; Ürkmez, Elif Şeyda; Duranay, Recep; Ateş, Hasan Fehmi (Korean Acad Oral and Maxillofacial Radiology, 2022)Purpose: The aim of this study was to assess the performance of a deep learning system for permanent tooth germ detection on pediatric panoramic radiographs.Materials and Methods: In total, 4518 anonymized panoramic ... -
Deep learning-based blind image super-resolution using iterative networks
Yaar, Asfand; Ateş, Hasan Fehmi; Güntürk, Bahadır Kürşat (Institute of Electrical and Electronics Engineers Inc., 2021)Deep learning-based single image super-resolution (SR) consistently shows superior performance compared to the traditional SR methods. However, most of these methods assume that the blur kernel used to generate the ... -
Hybrid CPU-GPU acceleration of a multithreaded image stitching algorithm
Tesfay, Shewit W.; Demirdağ, Zeynep Gülbeyaz; Uğurdağ, H. Fatih; Ateş, Hasan Fehmi (Institute of Electrical and Electronics Engineers Inc., 2022)Real-time image stitching is critical, especially in un-manned aerial vehicles, and its acceleration has received attention in recent years. This paper describes an image stitching acceleration scheme for heterogeneous ... -
Infrared-to-optical image translation for keypoint-based image registration
Elsaeidy, Mohamed; Erkol, Muhammed Emin; Güntürk, Bahadır Kürşat; Ateş, Hasan Fehmi (Institute of Electrical and Electronics Engineers Inc., 2022)Multi-modal image registration is a critical step in many remote sensing and visual navigation applications. While image registration techniques developed for single modality images do not perform well for multi-modal ... -
Iterative kernel reconstruction for deep learning-based blind image super-resolution
Yıldırım, Süleyman; Ateş, Hasan Fehmi; Güntürk, Bahadır Kürşat (IEEE Computer Society, 2022)Deep learning based methods have received a great deal of interest in recent years to solve the single image superresolution (SISR) problem and their performance is proven to be superior when compared to classical SR ... -
PL-GAN: Path loss prediction using generative adversarial networks
Marey, Ahmed; Bal, Mustafa; Ateş, Hasan Fehmi; Güntürk, Bahadır Kürşat (IEEE-Institute of Electrical and Electronics Engineers Inc., 2022)Accurate prediction of path loss is essential for the design and optimization of wireless communication networks. Existing path loss prediction methods typically suffer from the trade-off between accuracy and computational ... -
Proposing a CNN method for primary and permanent tooth detection and enumeration on pediatric dental radiographs
Kaya, Emine; Güneç, Hüseyin Gürkan; Gökyay, Sıtkı Selçuk; Kutal, Seçilay; Gülüm, Semih; Ateş, Hasan Fehmi (NLM (Medline), 2022)OBJECTIVE: In this paper, we aimed to evaluate the performance of a deep learning system for automated tooth detection and numbering on pediatric panoramic radiographs. STUDY DESIGN: YOLO V4, a CNN (Convolutional Neural ... -
Regression of large-scale path loss parameters using deep neural networks
Bal, Mustafa; Marey, Ahmed; Ateş, Hasan Fehmi; Baykaş, Tunçer; Güntürk, Bahadır Kürşat (IEEE-Institute of Electrical and Electronics Engineers Inc., 2022)Path loss exponent and shadowing factor are among important wireless channel parameters. These parameters can be estimated using field measurements or ray-tracing simulations, which are costly and time-consuming. In this ... -
RSS-based wireless LAN indoor localization and tracking using deep architectures
Karakuşak, Muhammed Zahid; Kıvrak, Hasan; Ateş, Hasan Fehmi; Özdemir, Mehmet Kemal (MDPI, 2022)Wireless Local Area Network (WLAN) positioning is a challenging task indoors due to environmental constraints and the unpredictable behavior of signal propagation, even at a fixed location. The aim of this work is to develop ... -
Small object detection and tracking from aerial imagery
Aktaş, Mustafa; Ateş, Hasan Fehmi (Institute of Electrical and Electronics Engineers Inc., 2021)Object detection and tracking from airborne imagery draws attention to the parallel development of UAV systems and computer vision technologies. Aerial imagery has its own unique challenges that differ from the training ...