173 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of South FloridaUS19 papers
- University of RochesterUS4 papers
- Koç UniversityTR3 papers
- Texas A&M University at QatarQA3 papers
- Yıldız Technical UniversityTR3 papers
- Goodyear (United Kingdom)GB2 papers
- Intel (United States)US2 papers
- Özyeğin UniversityTR2 papers
- Queen Mary University of LondonGB2 papers
- University of ZurichCH2 papers
- Adolfo Ibáñez UniversityCL1 paper
- Agència de Salut Pública de CatalunyaES1 paper
6 papers · 1 filter
XPoint: A Self-Supervised Visual-State-Space based Architecture for Multispectral Image Registration
Ismail Can Yagmur, Hasan F. Ates, Bahadir K. Gunturk
Accurate multispectral image matching presents significant challenges due to non-linear intensity variations across spectral modalities, extreme viewpoint changes, and the scarcity…
Optimal Joint Radar and Communication User Association in Cell-Free mMIMO Systems
Ahmed Naeem, El Mehdi Amhoud, Hüseyin Arslan
The cell-free massive multiple-input multiple-output (CF-mMIMO) systems are crucial for 6G development due to their high spectral efficiency and uniform user-experienced data rates…
S-J-Ideals: A Study in Commutative and Noncommutative Rings
Alaa Abouhalaka, Hatice Çay, Bayram Ali Ersoy
In this paper, we introduce the concept of S-J-ideals in both commutative and noncommutative rings. For a commutative ring R and a multiplicatively closed subset S, we show that ma…
Deep learning-based blind image super-resolution with iterative kernel reconstruction and noise estimation
Hasan F. Ates, Suleyman Yildirim, Bahadir K. Gunturk
Blind single image super-resolution (SISR) is a challenging task in image processing due to the ill-posed nature of the inverse problem. Complex degradations present in real life i…
Generalist Foundation Models from a Multimodal Dataset for 3D Computed Tomography
Ibrahim Ethem Hamamci, Sezgin Er, Chenyu Wang +27
Advancements in medical imaging AI, particularly in 3D imaging, have been limited due to the scarcity of comprehensive datasets. We introduce CT-RATE, a public dataset that pairs 3…
Insights into mobile health application market via a content analysis of marketplace data with machine learning
Gokhan Aydin, Gokhan Silahtaroglu
Background Despite the benefits offered by an abundance of health applications promoted on app marketplaces (e.g., Google Play Store), the wide adoption of mobile health and e-heal…