Hossein Arabi

4.3k total citations · 1 hit paper
140 papers, 2.8k citations indexed

About

Hossein Arabi is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Radiation. According to data from OpenAlex, Hossein Arabi has authored 140 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Radiology, Nuclear Medicine and Imaging, 70 papers in Biomedical Engineering and 26 papers in Radiation. Recurrent topics in Hossein Arabi's work include Medical Imaging Techniques and Applications (90 papers), Advanced X-ray and CT Imaging (67 papers) and Radiomics and Machine Learning in Medical Imaging (66 papers). Hossein Arabi is often cited by papers focused on Medical Imaging Techniques and Applications (90 papers), Advanced X-ray and CT Imaging (67 papers) and Radiomics and Machine Learning in Medical Imaging (66 papers). Hossein Arabi collaborates with scholars based in Switzerland, Netherlands and Iran. Hossein Arabi's co-authors include Habib Zaidi, Isaac Shiri, Amirhossein Sanaat, Azadeh Akhavanallaf, Abolfazl Mehranian, Yazdan Salimi, Ismini Mainta, Arman Rahmim, Ghasem Hajianfar and Nikolaos Koutsouvelis and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Scientific Reports.

In The Last Decade

Hossein Arabi

123 papers receiving 2.8k 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.

The promise of artificial intelligence and deep learning in PET and SPECT imaging

2021 176 citations Hossein Arabi, Azadeh Akhavanallaf et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hossein Arabi Switzerland	35	2.4k	1.2k	516	350	306	140	2.8k
Chi Liu United States	30	2.1k 0.9×	862 0.7×	511 1.0×	207 0.6×	181 0.6×	161	2.6k
Isaac Shiri Switzerland	36	2.9k 1.2×	1.4k 1.2×	299 0.6×	860 2.5×	178 0.6×	174	3.6k
Mark J. Gooding United Kingdom	21	1.1k 0.5×	453 0.4×	781 1.5×	378 1.1×	197 0.6×	64	1.6k
Dong Liang China	24	1.2k 0.5×	317 0.3×	315 0.6×	285 0.8×	179 0.6×	145	1.9k
Oscar Acosta France	24	1.3k 0.5×	396 0.3×	727 1.4×	640 1.8×	335 1.1×	144	2.3k
René Werner Germany	22	1.1k 0.5×	474 0.4×	753 1.5×	538 1.5×	325 1.1×	108	1.8k
Dan Nguyen United States	30	1.7k 0.7×	601 0.5×	1.7k 3.2×	1.1k 3.0×	272 0.9×	120	2.8k
Liyuan Chen China	22	833 0.3×	376 0.3×	423 0.8×	321 0.9×	218 0.7×	89	1.5k
Soumya Ghose United States	15	909 0.4×	360 0.3×	192 0.4×	566 1.6×	336 1.1×	53	1.4k
Xiaokun Liang China	18	910 0.4×	506 0.4×	248 0.5×	237 0.7×	268 0.9×	71	1.3k

Countries citing papers authored by Hossein Arabi

Since Specialization

Citations

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

Fields of papers citing papers by Hossein Arabi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hossein Arabi

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

All Works

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20 of 20 papers shown

Hakimabad, Seyyed Hashem Miri, et al.. (2025). Monte Carlo-based estimation of patient absorbed dose in 99mTc-DMSA, -MAG3, and -DTPA SPECT imaging using the University of Florida (UF) phantoms. Applied Radiation and Isotopes. 220. 111772–111772.

Hajianfar, Ghasem, Mehdi Amini, Mostafa Haghir Chehreghani, et al.. (2025). Artificial intelligence-powered coronary artery disease diagnosis from SPECT myocardial perfusion imaging: a comprehensive deep learning study. European Journal of Nuclear Medicine and Molecular Imaging. 52(8). 3019–3035. 1 indexed citations

Hosseini, Seyed Abolfazl, et al.. (2024). Quantitative and qualitative performance evaluation of commercial metal artifact reduction methods: Dosimetric effects on the treatment planning. Radiation Physics and Chemistry. 225. 112140–112140. 1 indexed citations

Kamali‐Asl, Alireza, et al.. (2024). Strategies for deep learning‐based attenuation and scatter correction of brain ¹⁸F‐FDG PET images in the image domain. Medical Physics. 51(2). 870–880. 2 indexed citations

Sanaat, Amirhossein, Isaac Shiri, Yazdan Salimi, et al.. (2023). A cycle-consistent adversarial network for brain PET partial volume correction without prior anatomical information. European Journal of Nuclear Medicine and Molecular Imaging. 50(7). 1881–1896. 16 indexed citations

Sanaat, Amirhossein, Mehdi Amini, Hossein Arabi, & Habib Zaidi. (2023). The quest for multifunctional and dedicated PET instrumentation with irregular geometries. Annals of Nuclear Medicine. 38(1). 31–70. 12 indexed citations

Kamali‐Asl, Alireza, et al.. (2023). Hierarchical approach for pulmonary-nodule identification from CT images using YOLO model and a 3D neural network classifier. Radiological Physics and Technology. 17(1). 124–134. 8 indexed citations

Shiri, Isaac, Mehdi Amini, Mostafa Nazari, et al.. (2022). Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images. Computers in Biology and Medicine. 142. 105230–105230. 61 indexed citations

Shiri, Isaac, Alireza Vafaei Sadr, Mehdi Amini, et al.. (2022). Decentralized Distributed Multi-institutional PET Image Segmentation Using a Federated Deep Learning Framework. Clinical Nuclear Medicine. 47(7). 606–617. 36 indexed citations

10.

Faghihi, Reza, et al.. (2022). Standard-Dose PET Prediction from Low-Dose Versions: Investigation of the Post-Reconstruction Denoising Filters as Prior Knowledge in a Deep Learning Solution. 18. 1–3. 2 indexed citations

11.

Amini, Mehdi, Mostafa Nazari, Isaac Shiri, et al.. (2021). Multi-level multi-modality (PET and CT) fusion radiomics: prognostic modeling for non-small cell lung carcinoma. Physics in Medicine and Biology. 66(20). 205017–205017. 49 indexed citations

12.

Dadgar, Habibollah, et al.. (2021). Feasibility of Deep Learning-Guided Attenuation and Scatter Correction of Whole-Body 68Ga-PSMA PET Studies in the Image Domain. Clinical Nuclear Medicine. 46(8). 609–615. 29 indexed citations

13.

Arabi, Hossein & Habib Zaidi. (2021). Assessment of deep learning-based PET attenuation correction frameworks in the sinogram domain. Physics in Medicine and Biology. 66(14). 145001–145001. 11 indexed citations

14.

Mostafaei, Shayan, et al.. (2021). Non-small cell lung carcinoma histopathological subtype phenotyping using high-dimensional multinomial multiclass CT radiomics signature. Computers in Biology and Medicine. 136. 104752–104752. 68 indexed citations

15.

Shiri, Isaac, et al.. (2020). Standard SPECT myocardial perfusion estimation from half-time acquisitions using deep convolutional residual neural networks. Journal of Nuclear Cardiology. 28(6). 2761–2779. 61 indexed citations

16.

Arabi, Hossein & Habib Zaidi. (2020). Truncation compensation and metallic dental implant artefact reduction in PET/MRI attenuation correction using deep learning-based object completion. Physics in Medicine and Biology. 65(19). 195002–195002. 29 indexed citations

17.

Arabi, Hossein & Habib Zaidi. (2020). Deep learning-guided estimation of attenuation correction factors from time-of-flight PET emission data. Medical Image Analysis. 64. 101718–101718. 42 indexed citations

18.

Mehranian, Abolfazl, Hossein Arabi, & Habib Zaidi. (2016). Quantitative analysis of MRI-guided attenuation correction techniques in time-of-flight brain PET/MRI. NeuroImage. 130. 123–133. 44 indexed citations

19.

Arabi, Hossein, Nikolaos Koutsouvelis, M. Rouzaud, Raymond Miralbell, & Habib Zaidi. (2016). Atlas-guided generation of pseudo-CT images for MRI-only and hybrid PET–MRI-guided radiotherapy treatment planning. Physics in Medicine and Biology. 61(17). 6531–6552. 78 indexed citations

20.

Arabi, Hossein & Habib Zaidi. (2016). Whole‐body bone segmentation from MRI for PET/MRI attenuation correction using shape‐based averaging. Medical Physics. 43(11). 5848–5861. 25 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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