Isaac Shiri

5.9k total citations · 1 hit paper
174 papers, 3.6k citations indexed

About

Isaac Shiri is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Isaac Shiri has authored 174 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 146 papers in Radiology, Nuclear Medicine and Imaging, 84 papers in Biomedical Engineering and 38 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Isaac Shiri's work include Radiomics and Machine Learning in Medical Imaging (119 papers), Advanced X-ray and CT Imaging (77 papers) and Medical Imaging Techniques and Applications (76 papers). Isaac Shiri is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (119 papers), Advanced X-ray and CT Imaging (77 papers) and Medical Imaging Techniques and Applications (76 papers). Isaac Shiri collaborates with scholars based in Switzerland, Iran and Netherlands. Isaac Shiri's co-authors include Habib Zaidi, Hossein Arabi, Hamid Abdollahi, Ghasem Hajianfar, Arman Rahmim, Mehrdad Oveisi, Amirhossein Sanaat, Azadeh Akhavanallaf, Mostafa Nazari and Yazdan Salimi and has published in prestigious journals such as JAMA, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Isaac Shiri

159 papers receiving 3.6k 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. Physica Medica profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Isaac Shiri Switzerland	36	2.9k	1.4k	860	544	299	174	3.6k
Sergios Gatidis Germany	32	1.9k 0.7×	527 0.4×	615 0.7×	313 0.6×	230 0.8×	168	3.4k
MingDe Lin United States	37	2.0k 0.7×	799 0.6×	925 1.1×	303 0.6×	161 0.5×	152	4.0k
Hossein Arabi Switzerland	35	2.4k 0.8×	1.2k 0.8×	350 0.4×	277 0.5×	516 1.7×	140	2.8k
Alexander Sauter Germany	27	1.5k 0.5×	536 0.4×	487 0.6×	161 0.3×	125 0.4×	115	2.8k
Lois Holloway Australia	28	2.6k 0.9×	623 0.4×	1.5k 1.8×	448 0.8×	2.2k 7.4×	260	4.1k
Ioannis Sechopoulos Netherlands	33	3.6k 1.2×	1.5k 1.1×	2.7k 3.1×	2.0k 3.7×	437 1.5×	198	4.8k
Tianye Niu China	29	2.6k 0.9×	1.4k 1.0×	782 0.9×	217 0.4×	453 1.5×	139	3.2k
George C. Kagadis Greece	34	1.0k 0.4×	527 0.4×	1.3k 1.5×	212 0.4×	303 1.0×	132	3.2k
Bhavik N. Patel United States	26	1.4k 0.5×	938 0.7×	455 0.5×	240 0.4×	40 0.1×	117	2.4k
Virendra Kumar India	20	2.7k 0.9×	759 0.5×	1.2k 1.4×	561 1.0×	39 0.1×	83	3.5k

Countries citing papers authored by Isaac Shiri

Since Specialization

Citations

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

Fields of papers citing papers by Isaac Shiri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isaac Shiri

This figure shows the co-authorship network connecting the top 25 collaborators of Isaac Shiri. A scholar is included among the top collaborators of Isaac Shiri 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 Isaac Shiri. Isaac Shiri 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

Salimi, Yazdan, Isaac Shiri, Zahra Mansouri, et al.. (2025). Artificial intelligence-based cardiac transthyretin amyloidosis detection and scoring in scintigraphy imaging: multi-tracer, multi-scanner, and multi-center development and evaluation study. European Journal of Nuclear Medicine and Molecular Imaging. 52(7). 2513–2528. 1 indexed citations

Salimi, Yazdan, et al.. (2025). Development and validation of fully automated robust deep learning models for multi-organ segmentation from whole-body CT images. Physica Medica. 130. 104911–104911. 5 indexed citations

Tomii, Daijiro, Isaac Shiri, Joanna Bartkowiak, et al.. (2025). Multimodal Machine Learning-Based Technical Failure Prediction in Patients Undergoing Transcatheter Aortic Valve Replacement. JACC Advances. 4(10). 102168–102168.

Bigler, Marius Reto, Federico Caobelli, Axel Rominger, et al.. (2025). Noninvasive Anatomical and Functional Imaging for Hemodynamic Relevance in Right Coronary Artery Anomalies. JAMA Cardiology. 10(10). 1055–1055.

Shiri, Isaac, Behrooz Razeghi, Yazdan Salimi, et al.. (2024). PRIMIS: Privacy-preserving medical image sharing via deep sparsifying transform learning with obfuscation. Journal of Biomedical Informatics. 150. 104583–104583. 5 indexed citations

Obrist, Dominik, et al.. (2024). Hemodynamic Relevance Evaluation of Coronary Artery Anomaly During Stress Using FFR/IVUS in an Artificial Twin. JACC Case Reports. 30(1). 102729–102729. 1 indexed citations

Salimi, Yazdan, Ghasem Hajianfar, Zahra Mansouri, et al.. (2024). Organomics. Clinical Nuclear Medicine. 49(10). 899–908. 15 indexed citations

Hosseini, Seyyed Ali, Isaac Shiri, Ghasem Hajianfar, et al.. (2024). The effect of harmonization on the variability of PET radiomic features extracted using various segmentation methods. Annals of Nuclear Medicine. 38(7). 493–507. 10 indexed citations

Salimi, Yazdan, et al.. (2024). Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learning. Medical Physics. 51(6). 4095–4104. 5 indexed citations

10.

Shiri, Isaac, Jörg van den Hoff, Alireza Kamali‐Asl, et al.. (2023). Radiomics predictive modeling from dual-time-point FDG PET Ki parametric maps: application to chemotherapy response in lymphoma. EJNMMI Research. 13(1). 70–70. 7 indexed citations

11.

Amini, Mehdi, Mohammad Javad Alemzadeh‐Ansari, Ahmad Bitarafan‐Rajabi, et al.. (2023). Post-revascularization Ejection Fraction Prediction for Patients Undergoing Percutaneous Coronary Intervention Based on Myocardial Perfusion SPECT Imaging Radiomics: a Preliminary Machine Learning Study. Journal of Digital Imaging. 36(4). 1348–1363. 13 indexed citations

12.

Benz, Dominik C., Sarah Cuddy, Stephan Dobner, et al.. (2023). Current and Evolving Multimodality Cardiac Imaging in Managing Transthyretin Amyloid Cardiomyopathy. JACC. Cardiovascular imaging. 17(2). 195–211. 14 indexed citations

13.

Shiri, Isaac, Mehdi Amini, Fereshteh Yousefirizi, et al.. (2023). Information fusion for fully automated segmentation of head and neck tumors from PET and CT images. Medical Physics. 51(1). 319–333. 11 indexed citations

14.

Hosseini, Seyyed Ali, Ghasem Hajianfar, Isaac Shiri, et al.. (2023). MRI-Based Radiomics Combined with Deep Learning for Distinguishing IDH-Mutant WHO Grade 4 Astrocytomas from IDH-Wild-Type Glioblastomas. Cancers. 15(3). 951–951. 15 indexed citations

15.

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

16.

Oghli, Mostafa Ghelich, et al.. (2022). Automatic cardiac evaluations using a deep video object segmentation network. Insights into Imaging. 13(1). 69–69. 16 indexed citations

17.

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

18.

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

19.

Mostafaei, Shayan, Hamid Abdollahi, Shiva Kazempour Dehkordi, et al.. (2019). CT imaging markers to improve radiation toxicity prediction in prostate cancer radiotherapy by stacking regression algorithm. La radiologia medica. 125(1). 87–97. 63 indexed citations

20.

Shiri, Isaac, et al.. (2018). Resolution Recovery with Pre-Reconstruction Fourier Transforms Filtering for a High Resolution Animal SPECT System. SHILAP Revista de lepidopterología. 1 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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