Saeed Seyyedi

988 total citations · 1 hit paper
12 papers, 503 citations indexed

About

Saeed Seyyedi is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Radiation. According to data from OpenAlex, Saeed Seyyedi has authored 12 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Biomedical Engineering and 4 papers in Radiation. Recurrent topics in Saeed Seyyedi's work include Medical Imaging Techniques and Applications (6 papers), Advanced X-ray and CT Imaging (5 papers) and Advanced X-ray Imaging Techniques (4 papers). Saeed Seyyedi is often cited by papers focused on Medical Imaging Techniques and Applications (6 papers), Advanced X-ray and CT Imaging (5 papers) and Advanced X-ray Imaging Techniques (4 papers). Saeed Seyyedi collaborates with scholars based in Germany, United States and Türkiye. Saeed Seyyedi's co-authors include Shih-Cheng Huang, Matthew P. Lungren, Imon Banerjee, Anuj Pareek, Vahid Solouk, Tobias Lasser, Hashem Kalbkhani, Franz Pfeiffer, Florian Schaff and Friedrich Prade and has published in prestigious journals such as Applied Physics Letters, Scientific Reports and npj Digital Medicine.

In The Last Decade

Saeed Seyyedi

12 papers receiving 496 citations

Hit Papers

align trajectories

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.

Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines

2020 448 citations Shih-Cheng Huang, Anuj Pareek et al. npj Digital Medicine profile →

Peers

Countries citing papers authored by Saeed Seyyedi

Since Specialization

Citations

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

Fields of papers citing papers by Saeed Seyyedi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saeed Seyyedi

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

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	Stockwell transform and semi-supervised feature selection from deep features for classification of BCI signals 2022 ·Scientific Reports ·(unknown), Hashem Kalbkhani, Saeed Seyyedi, Vahid Solouk	17
2	Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines breakdown → 2020 ·npj Digital Medicine ·Shih-Cheng Huang, Anuj Pareek, Saeed Seyyedi, Imon Banerjee, Matthew P. Lungren	448
3	Machine learning and deep learning approaches for classification of sub-cm lung nodules in CT scans (Conference Presentation) 2020 ·(unknown), (unknown), Saeed Seyyedi, (unknown), John R. Mayo, Ren Yuan, Renelle Myers, Stephen Lam, Calum MacAulay	1
4	Crop Land Change Monitoring Based on Deep Learning Algorithm Using Multi-temporal Hyperspectral Images 2020 ·(unknown), (unknown), (unknown), Saeed Seyyedi	1
5	Low-Dose CT Perfusion of the Liver Using Reconstruction of Difference 2018 ·IEEE Transactions on Radiation and Plasma Medical Sciences ·Saeed Seyyedi, Eleni Liapi, Tobias Lasser, Robert Ivkov, (unknown), J. Webster Stayman	6
6	Incorporating a Noise Reduction Technique Into X-Ray Tensor Tomography 2018 ·IEEE Transactions on Computational Imaging ·Saeed Seyyedi, (unknown), Franz Pfeiffer, Tobias Lasser	2
7	Advanced Reconstruction and Noise Reduction Techniques in Four- and Six-Dimensional X-ray Imaging Modalities 2018 ·mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) ·Saeed Seyyedi	1
8	Six dimensional X-ray Tensor Tomography with a compact laboratory setup 2016 ·Applied Physics Letters ·Yash Sharma, (unknown), Florian Schaff, Saeed Seyyedi, Friedrich Prade, Franz Pfeiffer, Tobias Lasser	14
9	Component-based TV regularization for X-ray tensor tomography 2016 ·Saeed Seyyedi, (unknown), Yash Sharma, Florian Schaff, Christoph Jud, Franz Pfeiffer, Tobias Lasser	2
10	3D digital breast tomosynthesis image reconstruction using anisotropic total variation minimization 2014 ·PubMed ·Saeed Seyyedi, (unknown)	3
11	An Object-Oriented Simulator for 3D Digital Breast Tomosynthesis Imaging System 2013 ·Computational and Mathematical Methods in Medicine ·Saeed Seyyedi, (unknown), Mustafa E. Kamaşak, (unknown)	7
12	3-D Tomosynthesis Image Reconstruction Using Total Variation 2012 ·Istanbul Technical University Academic Open Archive (Istanbul Technical University) ·(unknown), Aydın Akan, (unknown), Mustafa E. Kamaşak, Saeed Seyyedi, (unknown)	1

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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