IMAGE PROCESSING IN ARTIFICIAL INTELLIGENCE

At the AI Image Processing Research Group, collaboration is in our DNA. We actively seek partnerships with academia, industry, and government agencies to tackle complex problems that span domains. Together, we are spearheading breakthroughs that will redefine the boundaries of what's possible in image processing.

The future of AI-based image processing holds unprecedented potential. We invite you to join us in this exciting journey. Together, we will continue to unravel the mysteries hidden within images and use them to shape a brighter future for all.

Explore our projects, meet our passionate team, and embark on a voyage of discovery with us as we leverage the power of AI to transform the world of image processing.

Welcome to a new era of visual data analysis!

Son Eklenen Yayınlar

An Automatic Approach for Bone Tumor Detection from Non-Standard CT Images Un enfoque automático para la detección de tumores óseos a partir de imágenes de CT no estándar

Reis H. C., BAYRAM B.
Ingenieria e Investigacion, cilt.43, sa.3, 2023 (SCI-Expanded)

Use of Artificial Intelligence Toward Climate-Neutral Cultural Heritage

BAKIRMAN T., Kulavuz B., BAYRAM B.
Photogrammetric Engineering and Remote Sensing, cilt.89, sa.3, ss.163-171, 2023 (SCI-Expanded)

A comprehensive review on deep learning based remote sensing image super-resolution methods

Wang P., BAYRAM B., Sertel E.
EARTH-SCIENCE REVIEWS, cilt.232, 2022 (SCI-Expanded)

Classification of Skin Lesion Images with Deep Learning Approaches

Bayram B., Kulavuz B., Ertugrul B., BAYRAM B., BAKIRMAN T., ÇAKAR T., et al.
BALTIC JOURNAL OF MODERN COMPUTING, cilt.10, sa.2, ss.241-250, 2022 (ESCI)

Performance evaluation of shallow and deep CNN architectures on building segmentation from high-resolution images

Sarıtürk B., Şeker D. Z., Öztürk O., BAYRAM B.
EARTH SCIENCE INFORMATICS, cilt.15, sa.3, ss.1801-1823, 2022 (SCI-Expanded)

Development of sustainable wetland management strategies by using the analytical hierarchy process and web-based GIS: A case study from Turkey

BAKIRMAN T., GÜMÜŞAY M. Ü., Musaoğlu N., Tanık A. G.
TRANSACTIONS IN GIS, cilt.26, sa.3, ss.1589-1608, 2022 (SSCI)

The Analysis on the Annual Change of Digital Aerial Camera's IMUs Boresight Misalignment

Kayi A., BAYRAM B., Şeker D. Z.
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, cilt.87, sa.11, ss.801-806, 2021 (SCI-Expanded)

Deep neural network approaches for detecting gastric polyps in endoscopic images

DURAK S., BAYRAM B., BAKIRMAN T., ERKUT M., Doğan M., GÜRTÜRK M., et al.
Medical and Biological Engineering and Computing, cilt.59, ss.1563-1574, 2021 (SCI-Expanded)

Assessment of Machine Learning Methods for Seagrass Classification in the Mediterranean

Bakirman T., Gumusay M. U.
BALTIC JOURNAL OF MODERN COMPUTING, cilt.8, sa.2, ss.315-326, 2020 (ESCI)

An ensemble deep learning based shoreline segmentation approach (WaterNet) from Landsat 8 OLI images

Erdem F., BAYRAM B., Bakirman T., BAYRAK O. C., AKPINAR B.
ADVANCES IN SPACE RESEARCH, cilt.67, sa.3, ss.964-974, 2021 (SCI-Expanded)