Muzaffer Özbey

1.0k total citations · 2 hit papers
14 papers, 532 citations indexed

About

Muzaffer Özbey is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Muzaffer Özbey has authored 14 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Muzaffer Özbey's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Medical Imaging Techniques and Applications (3 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). Muzaffer Özbey is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Medical Imaging Techniques and Applications (3 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). Muzaffer Özbey collaborates with scholars based in Türkiye, United States and Germany. Muzaffer Özbey's co-authors include Tolga Çukur, Alper Güngör, Hasan A. Bedel, Onat Dalmaz, Salman Ul Hassan Dar, Yılmaz Korkmaz, Şaban Öztürk, Salman Avestimehr, Kader Karlı Oğuz and Mahmut Yurt and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis and Computers in Biology and Medicine.

In The Last Decade

Muzaffer Özbey

13 papers receiving 516 citations

Hit Papers

Unsupervised Medical Image Translation With Adversarial D... 2023 2026 2024 2025 2023 2023 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Unsupervised Medical Image Translation With Adversarial Diffusion Models
    2023 230 citations Muzaffer Özbey, Onat Dalmaz et al. IEEE Transactions on Medical Imaging profile →
  2. Adaptive diffusion priors for accelerated MRI reconstruction
    2023 140 citations Alper Güngör, Salman Ul Hassan Dar et al. Medical Image Analysis profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Muzaffer Özbey Türkiye 7 294 209 145 89 41 14 532
Mahmut Yurt United States 6 296 1.0× 202 1.0× 112 0.8× 96 1.1× 42 1.0× 17 497
Hasan A. Bedel Türkiye 3 224 0.8× 164 0.8× 108 0.7× 60 0.7× 31 0.8× 3 419
Onat Dalmaz Türkiye 7 311 1.1× 292 1.4× 197 1.4× 100 1.1× 66 1.6× 17 658
Junyu Chen United States 5 253 0.9× 311 1.5× 139 1.0× 165 1.9× 99 2.4× 6 555
Salman Ul Hassan Dar Türkiye 8 276 0.9× 124 0.6× 94 0.6× 86 1.0× 36 0.9× 16 452
T. Whyntie United Kingdom 6 179 0.6× 124 0.6× 111 0.8× 76 0.9× 57 1.4× 10 408
Hessam Sokooti Netherlands 6 341 1.2× 346 1.7× 86 0.6× 169 1.9× 42 1.0× 8 609
Alper Güngör Türkiye 11 236 0.8× 189 0.9× 102 0.7× 290 3.3× 24 0.6× 41 726
Qikui Zhu United States 10 140 0.5× 200 1.0× 103 0.7× 85 1.0× 41 1.0× 22 349

Countries citing papers authored by Muzaffer Özbey

Since Specialization
Citations

This map shows the geographic impact of Muzaffer Özbey's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Muzaffer Özbey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muzaffer Özbey more than expected).

Fields of papers citing papers by Muzaffer Özbey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muzaffer Özbey. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Muzaffer Özbey. The network helps show where Muzaffer Özbey may publish in the future.

Co-authorship network of co-authors of Muzaffer Özbey

This figure shows the co-authorship network connecting the top 25 collaborators of Muzaffer Özbey. A scholar is included among the top collaborators of Muzaffer Özbey based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Muzaffer Özbey. Muzaffer Özbey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Dalmaz, Onat, et al.. (2025). Self-consistent recursive diffusion bridge for medical image translation. Medical Image Analysis. 106. 103747–103747. 6 indexed citations
2.
Özbey, Muzaffer, et al.. (2024). Assessing the Capacity of a Denoising Diffusion Probabilistic Model to Reproduce Spatial Context. IEEE Transactions on Medical Imaging. 43(10). 3608–3620. 6 indexed citations
3.
Dalmaz, Onat, Muzaffer Özbey, Salman Ul Hassan Dar, et al.. (2024). One model to unite them all: Personalized federated learning of multi-contrast MRI synthesis. Medical Image Analysis. 94. 103121–103121. 16 indexed citations
4.
Dalmaz, Onat, et al.. (2024). A Personalized Federated Learning Approach for Multi-Contrast MRI Translation. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.
5.
Zhang, Chaojie, Muzaffer Özbey, Umberto Villa, et al.. (2024). Self-supervised learning based on StyleGAN for medical image classification on small labeled dataset. 106–106. 2 indexed citations
6.
Dar, Salman Ul Hassan, Şaban Öztürk, Muzaffer Özbey, Kader Karlı Oğuz, & Tolga Çukur. (2023). Parallel-stream fusion of scan-specific and scan-general priors for learning deep MRI reconstruction in low-data regimes. Computers in Biology and Medicine. 167. 107610–107610. 7 indexed citations
7.
Güngör, Alper, Salman Ul Hassan Dar, Şaban Öztürk, et al.. (2023). Adaptive diffusion priors for accelerated MRI reconstruction. Medical Image Analysis. 88. 102872–102872. 140 indexed citations breakdown →
8.
Özbey, Muzaffer, et al.. (2023). Unsupervised Medical Image Translation With Adversarial Diffusion Models. IEEE Transactions on Medical Imaging. 42(12). 3524–3539. 230 indexed citations breakdown →
9.
Dar, Salman Ul Hassan, et al.. (2022). Federated Learning of Generative Image Priors for MRI Reconstruction. IEEE Transactions on Medical Imaging. 42(7). 1996–2009. 78 indexed citations
10.
Yurt, Mahmut, Onat Dalmaz, Salman Ul Hassan Dar, et al.. (2022). Semi-Supervised Learning of MRI Synthesis Without Fully-Sampled Ground Truths. IEEE Transactions on Medical Imaging. 41(12). 3895–3906. 24 indexed citations
11.
Yurt, Mahmut, et al.. (2022). Progressively volumetrized deep generative models for data-efficient contextual learning of MR image recovery. Medical Image Analysis. 78. 102429–102429. 17 indexed citations
12.
Özbey, Muzaffer & Tolga Çukur. (2021). Multi-Image Reconstruction in Multi-Contrast MRI. Bilkent University Institutional Repository (Bilkent University). 2 indexed citations
13.
Yurt, Mahmut, et al.. (2020). Semi-Supervised Learning of Mutually Accelerated Multi-Contrast MRI Synthesis without Fully-Sampled Ground-Truths.. 2 indexed citations
14.
Özbey, Muzaffer & Tolga Çukur. (2020). T1-Weighted Contrast-Enhanced Synthesis for Multi-Contrast MRI Segmentation. 1–4. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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