Jaron Chong

3.0k total citations
52 papers, 1.2k citations indexed

About

Jaron Chong is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Biomedical Engineering. According to data from OpenAlex, Jaron Chong has authored 52 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Health Informatics and 12 papers in Biomedical Engineering. Recurrent topics in Jaron Chong's work include Radiomics and Machine Learning in Medical Imaging (20 papers), Artificial Intelligence in Healthcare and Education (14 papers) and Medical Imaging and Analysis (7 papers). Jaron Chong is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (20 papers), Artificial Intelligence in Healthcare and Education (14 papers) and Medical Imaging and Analysis (7 papers). Jaron Chong collaborates with scholars based in Canada, United States and France. Jaron Chong's co-authors include Caroline Reinhold, B. Gallix, Shuo Li, Anthony Dohan, An Tang, Peter Savadjiev, Bo Chen, Nikos Paragios, Maria Vakalopoulou and Stéphanie Nougaret and has published in prestigious journals such as Radiology, International Journal of Radiation Oncology*Biology*Physics and Physics in Medicine and Biology.

In The Last Decade

Jaron Chong

49 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaron Chong Canada 20 649 293 209 176 172 52 1.2k
Keno K. Bressem Germany 26 785 1.2× 534 1.8× 427 2.0× 229 1.3× 98 0.6× 109 1.8k
Avishek Chatterjee Netherlands 17 815 1.3× 139 0.5× 340 1.6× 247 1.4× 103 0.6× 38 1.2k
Alexander D. Weston United States 12 475 0.7× 129 0.4× 207 1.0× 203 1.2× 74 0.4× 25 973
Matteo Interlenghi Italy 15 577 0.9× 118 0.4× 280 1.3× 149 0.8× 67 0.4× 29 986
Eugene Vorontsov Canada 10 742 1.1× 176 0.6× 353 1.7× 300 1.7× 83 0.5× 14 1.2k
Tomoyuki Fujioka Japan 22 874 1.3× 300 1.0× 540 2.6× 198 1.1× 92 0.5× 94 1.5k
Lu Huang China 14 718 1.1× 66 0.2× 149 0.7× 112 0.6× 148 0.9× 57 1.5k
Yunfei Zha China 16 1.4k 2.1× 286 1.0× 653 3.1× 167 0.9× 99 0.6× 74 1.9k
Magda Marcon Switzerland 20 882 1.4× 111 0.4× 524 2.5× 249 1.4× 91 0.5× 63 1.5k
Thomas Sanford United States 19 583 0.9× 103 0.4× 420 2.0× 182 1.0× 106 0.6× 63 1.4k

Countries citing papers authored by Jaron Chong

Since Specialization
Citations

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

Fields of papers citing papers by Jaron Chong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaron Chong

This figure shows the co-authorship network connecting the top 25 collaborators of Jaron Chong. A scholar is included among the top collaborators of Jaron Chong 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 Jaron Chong. Jaron Chong 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.
Chong, Jaron, Anish Kirpalani, Robert B. Moreland, & Errol Colak. (2025). Artificial Intelligence in Gastrointestinal Imaging. Radiologic Clinics of North America. 63(3). 477–490.
2.
Li, David, et al.. (2024). Comparing GPT-3.5 and GPT-4 Accuracy and Drift in Radiology Diagnosis Please Cases. Radiology. 310(1). e232411–e232411. 30 indexed citations
3.
Brady, Adrian P., Bibb Allen, Jaron Chong, et al.. (2024). Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement from the ACR, CAR, ESR, RANZCR and RSNA. Radiology Artificial Intelligence. 6(1). e230513–e230513. 26 indexed citations
4.
Chong, Jaron, et al.. (2024). External Validation of an Artificial Intelligence Screening Tool for Interstitial Lung Disease in Patients Receiving Lung Stereotactic Ablative Radiotherapy. International Journal of Radiation Oncology*Biology*Physics. 120(2). e657–e658. 1 indexed citations
5.
Liu, Ningtao, et al.. (2023). Self-supervised learning enhanced ultrasound video thyroid nodule tracking. 28. 117–117. 1 indexed citations
6.
Fenster, Aaron, et al.. (2023). Self-supervised enhanced thyroid nodule detection in ultrasound examination video sequences with multi-perspective evaluation. Physics in Medicine and Biology. 68(23). 235007–235007. 1 indexed citations
7.
Grégory, Jules, Isaac Yang, Jaron Chong, et al.. (2022). CT features associated with underlying malignancy in patients with diagnosed mesenteric panniculitis. Diagnostic and Interventional Imaging. 103(9). 394–400. 3 indexed citations
9.
Xu, Chenchu, Dong Zhang, Jaron Chong, Bo Chen, & Shuo Li. (2021). Synthesis of gadolinium-enhanced liver tumors on nonenhanced liver MR images using pixel-level graph reinforcement learning. Medical Image Analysis. 69. 101976–101976. 29 indexed citations
10.
Marcq, Gautier, Luís Souhami, Fabio Cury, et al.. (2021). Impact of sarcopenia on outcomes of patients treated with trimodal therapy for muscle invasive bladder cancer. Urologic Oncology Seminars and Original Investigations. 40(5). 194.e15–194.e22. 6 indexed citations
11.
Chong, Jaron, et al.. (2020). Review of Natural Language Processing in Radiology. Neuroimaging Clinics of North America. 30(4). 447–458. 32 indexed citations
12.
Sun, Simon, Pietro Andrea Bonaffini, Stéphanie Nougaret, et al.. (2019). How to differentiate uterine leiomyosarcoma from leiomyoma with imaging. Diagnostic and Interventional Imaging. 100(10). 619–634. 66 indexed citations
13.
Jaremko, Jacob L., Marleine Azar, Andrea Lum, et al.. (2019). Canadian Association of Radiologists White Paper on Ethical and Legal Issues Related to Artificial Intelligence in Radiology. Canadian Association of Radiologists Journal. 70(2). 107–118. 126 indexed citations
14.
Savadjiev, Peter, Jaron Chong, Anthony Dohan, et al.. (2018). Demystification of AI-driven medical image interpretation: past, present and future. European Radiology. 29(3). 1616–1624. 104 indexed citations
15.
Couture, Félix, Joshua Chin, Jaron Chong, & Simon Tanguay. (2018). Isolated peritoneal carcinomatosis from metastatic castration-resistant prostate cancer and associated biliary obstruction: A case report. Urology Case Reports. 21. 10–11. 4 indexed citations
16.
Chong, Jaron, et al.. (2018). Rates of Overtreatment and Treatment-Related Adverse Effects Among Patients With Subsegmental Pulmonary Embolism. JAMA Internal Medicine. 178(9). 1272–1272. 26 indexed citations
17.
Nougaret, Stéphanie, Caroline Reinhold, Jaron Chong, et al.. (2014). Incidental pancreatic cysts: natural history and diagnostic accuracy of a limited serial pancreatic cyst MRI protocol. European Radiology. 24(5). 1020–1029. 57 indexed citations
18.
Punithakumar, Kumaradevan, Ismail Ben Ayed, Ali Islam, et al.. (2013). Regional heart motion abnormality detection: An information theoretic approach. Medical Image Analysis. 17(3). 311–324. 23 indexed citations
19.
Punithakumar, Kumaradevan, Shuo Li, Ismail Ben Ayed, et al.. (2009). Heart Motion Abnormality Detection via an Information Measure and Bayesian Filtering. Lecture notes in computer science. 12(Pt 2). 373–380. 5 indexed citations
20.
Chong, Jaron, Warren T. Blume, Richard S. McLachlan, et al.. (2009). Prevalence of benign epileptiform variants. Clinical Neurophysiology. 120(5). 856–861. 53 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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