Reza Azad

3.8k total citations · 5 hit papers
28 papers, 1.4k citations indexed

About

Reza Azad is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Reza Azad has authored 28 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Reza Azad's work include AI in cancer detection (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Advanced Neural Network Applications (7 papers). Reza Azad is often cited by papers focused on AI in cancer detection (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Advanced Neural Network Applications (7 papers). Reza Azad collaborates with scholars based in Germany, Iran and United States. Reza Azad's co-authors include Dorit Merhof, Ehsan Khodapanah Aghdam, Amirhossein Kazerouni, Moein Heidari, Mohsen Fayyaz, Ilker Hacihaliloglu, Julien Cohen‐Adad, Milad Soltany, Amirali Molaei and Sanaz Karimijafarbigloo and has published in prestigious journals such as Nano Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.

In The Last Decade

Reza Azad

22 papers receiving 1.3k citations

Hit Papers

Diffusion models in medical imaging: A comprehensive survey 2023 2026 2024 2025 2023 2023 2024 2023 2024 50 100 150 200 250
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. Diffusion models in medical imaging: A comprehensive survey
    2023 290 citations Amirhossein Kazerouni, Ehsan Khodapanah Aghdam et al. Medical Image Analysis profile →
  2. HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation
    2023 260 citations Moein Heidari, Amirhossein Kazerouni et al. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) profile →
  3. Medical Image Segmentation Review: The Success of U-Net
    2024 231 citations Reza Azad, Ehsan Khodapanah Aghdam et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
  4. Advances in medical image analysis with vision Transformers: A comprehensive review
    2023 188 citations Reza Azad, Amirhossein Kazerouni et al. Medical Image Analysis profile →
  5. Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation
    2024 105 citations Reza Azad, Amirhossein Kazerouni et al. profile →

Peers

Reza Azad
Ehsan Khodapanah Aghdam Germany
Liansheng Wang China
Xiangde Luo China
Bingzhi Chen China
Yuting He China
N. Sri Madhava Raja India
Michaël Aertsen Belgium
José Dolz Canada
Şaban Öztürk Türkiye
Amirhossein Kazerouni Iran
Ehsan Khodapanah Aghdam Germany
Reza Azad
Citations per year, relative to Reza Azad Reza Azad (= 1×) peers Ehsan Khodapanah Aghdam

Countries citing papers authored by Reza Azad

Since Specialization
Citations

This map shows the geographic impact of Reza Azad'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 Reza Azad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reza Azad more than expected).

Fields of papers citing papers by Reza Azad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Reza Azad. 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 Reza Azad. The network helps show where Reza Azad may publish in the future.

Co-authorship network of co-authors of Reza Azad

This figure shows the co-authorship network connecting the top 25 collaborators of Reza Azad. A scholar is included among the top collaborators of Reza Azad 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 Reza Azad. Reza Azad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Azad, Reza, et al.. (2025). MedScale-Former: Self-guided multiscale transformer for medical image segmentation. Medical Image Analysis. 103. 103554–103554.
2.
Bozorgpour, Afshin, et al.. (2025). Continual learning in medical image analysis: A comprehensive review of recent advancements and future prospects. Medical Image Analysis. 106. 103730–103730.
3.
Azad, Reza, Yiwei Jia, Ehsan Khodapanah Aghdam, Julien Cohen‐Adad, & Dorit Merhof. (2025). TransCeption: Enhancing Medical Image Segmentation with an Inception-Like Transformer Design for Efficient Feature Fusion. Computational Visual Media. 11(5). 1079–1095.
4.
Azad, Reza, et al.. (2025). Addressing Missing Modality Challenges in MRI Images: A Comprehensive Review. Computational Visual Media. 11(2). 241–268.
5.
Azad, Reza, et al.. (2025). Frequency-Domain Refinement of Vision Transformers for Robust Medical Image Segmentation Under Degradation. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 9176–9185.
6.
Bozorgpour, Afshin, et al.. (2024). HCA-NET: Hierarchical Context Attention Network for Intervertebral Disc Semantic Labeling. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–5. 1 indexed citations
7.
Azad, Reza, Ehsan Khodapanah Aghdam, Amelie Rauland, et al.. (2024). Medical Image Segmentation Review: The Success of U-Net. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 10076–10095. 231 indexed citations breakdown →
8.
Karimijafarbigloo, Sanaz, Reza Azad, Yury Velichko, Ulaş Bağcı, & Dorit Merhof. (2024). Leveraging Unlabeled Data for 3D Medical Image Segmentation Through Self-Supervised Contrastive Learning. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 3. 1–5. 1 indexed citations
9.
Kazerouni, Amirhossein, Sanaz Karimijafarbigloo, Reza Azad, et al.. (2024). Fusenet: Self-Supervised Dual-Path Network For Medical Image Segmentation. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–5. 2 indexed citations
10.
Aghdam, Ehsan Khodapanah, et al.. (2023). Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation. 1–5. 45 indexed citations
11.
Azad, Reza, Amirhossein Kazerouni, Moein Heidari, et al.. (2023). Advances in medical image analysis with vision Transformers: A comprehensive review. Medical Image Analysis. 91. 103000–103000. 188 indexed citations breakdown →
12.
Kazerouni, Amirhossein, Ehsan Khodapanah Aghdam, Moein Heidari, et al.. (2023). Diffusion models in medical imaging: A comprehensive survey. Medical Image Analysis. 88. 102846–102846. 290 indexed citations breakdown →
13.
Karimijafarbigloo, Sanaz, Reza Azad, Amirhossein Kazerouni, et al.. (2023). Self-supervised Semantic Segmentation: Consistency over Transformation. PubMed. 2023. 2646–2655. 3 indexed citations
14.
Heidari, Moein, Amirhossein Kazerouni, Milad Soltany, et al.. (2023). HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 6191–6201. 260 indexed citations breakdown →
15.
Jose, Abin, Rijo Roy, Dennis Eschweiler, et al.. (2023). End-to-End Classification of Cell-Cycle Stages with Center-Cell Focus Tracker Using Recurrent Neural Networks. 1–5. 4 indexed citations
16.
Azad, Reza, Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, et al.. (2023). Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection. Lecture notes in computer science. 14222. 736–746. 10 indexed citations
17.
Molaei, Amirali, et al.. (2023). Implicit Neural Representation in Medical Imaging: A Comparative Survey. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 2373–2383. 39 indexed citations
18.
Azad, Reza, et al.. (2022). TransNorm: Transformer Provides a Strong Spatial Normalization Mechanism for a Deep Segmentation Model. IEEE Access. 10. 108205–108215. 77 indexed citations
19.
Azad, Reza, et al.. (2021). Deep Frequency Re-calibration U-Net for Medical Image Segmentation. 3267–3276. 35 indexed citations
20.
Azad, Reza, et al.. (2013). A novel and robust method for automatic license plate recognition system based on pattern recognition. Advances in computer science : an international journal. 2(3). 64–70. 20 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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