Tal Zeevi

661 total citations
47 papers, 441 citations indexed

About

Tal Zeevi is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Hepatology. According to data from OpenAlex, Tal Zeevi has authored 47 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Epidemiology and 10 papers in Hepatology. Recurrent topics in Tal Zeevi's work include Radiomics and Machine Learning in Medical Imaging (32 papers), Acute Ischemic Stroke Management (11 papers) and Hepatocellular Carcinoma Treatment and Prognosis (10 papers). Tal Zeevi is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (32 papers), Acute Ischemic Stroke Management (11 papers) and Hepatocellular Carcinoma Treatment and Prognosis (10 papers). Tal Zeevi collaborates with scholars based in United States, Germany and United Kingdom. Tal Zeevi's co-authors include Seyedmehdi Payabvash, Stefan P. Haider, Amit Mahajan, Amit Gefen, Neima Brauner, Ayelet Levy, Benjamin H. Kann, Kariem Sharaf, Benjamin L. Judson and Christoph A. Reichel and has published in prestigious journals such as Neurology, Stroke and Scientific Reports.

In The Last Decade

Tal Zeevi

37 papers receiving 440 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tal Zeevi United States 13 276 98 87 75 68 47 441
Stefan P. Haider United States 13 282 1.0× 101 1.0× 91 1.0× 73 1.0× 100 1.5× 36 409
Guangying Ruan China 10 149 0.5× 47 0.5× 47 0.5× 44 0.6× 96 1.4× 35 268
Sungwon Ham South Korea 9 202 0.7× 107 1.1× 90 1.0× 63 0.8× 34 0.5× 18 385
Zhenyu Shu China 18 550 2.0× 66 0.7× 117 1.3× 156 2.1× 6 0.1× 50 692
Jiliang Ren China 14 363 1.3× 25 0.3× 71 0.8× 65 0.9× 122 1.8× 27 516
Hugo W. de Jong Netherlands 10 190 0.7× 134 1.4× 53 0.6× 113 1.5× 13 0.2× 14 400
Zhuozhi Chen China 13 153 0.6× 17 0.2× 99 1.1× 28 0.4× 46 0.7× 23 469
Jason Cai United States 9 219 0.8× 33 0.3× 78 0.9× 107 1.4× 79 1.2× 21 576
Yixin Hu China 8 400 1.4× 39 0.4× 83 1.0× 75 1.0× 11 0.2× 14 522

Countries citing papers authored by Tal Zeevi

Since Specialization
Citations

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

Fields of papers citing papers by Tal Zeevi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tal Zeevi

This figure shows the co-authorship network connecting the top 25 collaborators of Tal Zeevi. A scholar is included among the top collaborators of Tal Zeevi 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 Tal Zeevi. Tal Zeevi 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.
Revzin, Margarita V., Tal Zeevi, Edward A. Meister, et al.. (2025). Noninvasive Tumor Profiling: Quantitative Contrast-enhanced MRI Markers Help Predict PD-L1 and CTNNB1 Status in Hepatocellular Carcinoma. Radiology. 316(2). e242750–e242750.
2.
Zeevi, Tal, et al.. (2025). Image-Based Search in Radiology: Identification of Brain Tumor Subtypes within Databases Using MRI-Based Radiomic Features. American Journal of Neuroradiology. 46(7). 1421–1428.
3.
Chen, Fuyao, Tal Zeevi, Michael Leapman, et al.. (2025). Comparative Performance of Machine Learning Models in Reducing Unnecessary Targeted Prostate Biopsies. European Urology Oncology. 9(1). 142–149.
4.
Zeevi, Tal, Emily W. Avery, Ajay Malhotra, et al.. (2024). Deep learning for prediction of post-thrombectomy outcomes based on admission CT angiography in large vessel occlusion stroke. Frontiers in Artificial Intelligence. 7. 1369702–1369702. 4 indexed citations
5.
Zeevi, Tal, Rajesh Venkataraman, Lawrence H. Staib, & John A. Onofrey. (2024). Monte-Carlo Frequency Dropout for Predictive Uncertainty Estimation in Deep Learning. 1–5. 3 indexed citations
6.
Zeevi, Tal, Stefan P. Haider, Elisa R. Berson, et al.. (2024). Uncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan. npj Digital Medicine. 7(1). 26–26. 12 indexed citations
7.
Haider, Stefan P., Tal Zeevi, Kariem Sharaf, et al.. (2024). Impact of18F-FDG PET Intensity Normalization on Radiomic Features of Oropharyngeal Squamous Cell Carcinomas and Machine Learning–Generated Biomarkers. Journal of Nuclear Medicine. 65(5). 803–809. 3 indexed citations
8.
9.
Avery, Emily W., Stefan P. Haider, Tal Zeevi, et al.. (2024). Radiomics-Based Prediction of Collateral Status from CT Angiography of Patients Following a Large Vessel Occlusion Stroke. Diagnostics. 14(5). 485–485.
10.
Haider, Stefan P., Tal Zeevi, Steffen Huber, et al.. (2024). Automated graded prognostic assessment for patients with hepatocellular carcinoma using machine learning. European Radiology. 34(10). 6940–6952. 3 indexed citations
11.
Zeevi, Tal, M. Keith Chen, Ajay Malhotra, et al.. (2024). Optimizing Automated Hematoma Expansion Classification from Baseline and Follow-Up Head Computed Tomography. Applied Sciences. 15(1). 111–111. 1 indexed citations
12.
Zeevi, Tal, Ilko Maier, Adnan I. Qureshi, et al.. (2024). Peri-hematomal edema shape features related to 3-month outcome in acute supratentorial intracerebral hemorrhage. European Stroke Journal. 9(2). 383–390. 3 indexed citations
13.
Zeevi, Tal, Stefan P. Haider, Mohamed Elbanan, et al.. (2023). Predicting tumor recurrence on baseline MR imaging in patients with early-stage hepatocellular carcinoma using deep machine learning. Scientific Reports. 13(1). 7579–7579. 13 indexed citations
14.
Zeevi, Tal, MingDe Lin, Ichiro Ikuta, et al.. (2022). Machine Learning Tools for Image-Based Glioma Grading and the Quality of Their Reporting: Challenges and Opportunities. Cancers. 14(11). 2623–2623. 9 indexed citations
15.
16.
Avery, Emily W., Stefan P. Haider, Tal Zeevi, et al.. (2022). CT angiographic radiomics signature for risk stratification in anterior large vessel occlusion stroke. NeuroImage Clinical. 34. 103034–103034. 12 indexed citations
17.
Malpani, Rohil, Junlin Yang, Tal Zeevi, et al.. (2021). Quantitative Automated Segmentation of Lipiodol Deposits on Cone-Beam CT Imaging Acquired during Transarterial Chemoembolization for Liver Tumors: A Deep Learning Approach. Journal of Vascular and Interventional Radiology. 33(3). 324–332.e2. 7 indexed citations
18.
Chapiro, Julius, Tal Zeevi, Mohamed Elbanan, et al.. (2021). Thermal ablation alone vs thermal ablation combined with transarterial chemoembolization for patients with small (<3 cm) hepatocellular carcinoma. Clinical Imaging. 76. 123–129. 4 indexed citations
19.
Haider, Stefan P., Kariem Sharaf, Tal Zeevi, et al.. (2020). Prediction of post-radiotherapy locoregional progression in HPV-associated oropharyngeal squamous cell carcinoma using machine-learning analysis of baseline PET/CT radiomics. Translational Oncology. 14(1). 100906–100906. 28 indexed citations
20.
Chapiro, Julius, Fabian M. Laage Gaupp, Lynn Jeanette Savic, et al.. (2020). Reliable prediction of survival in advanced-stage hepatocellular carcinoma treated with sorafenib: comparing 1D and 3D quantitative tumor response criteria on MRI. European Radiology. 31(5). 2737–2746. 12 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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