Alexandre Cadrin-Chênevert

1.1k total citations
15 papers, 389 citations indexed

About

Alexandre Cadrin-Chênevert is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Alexandre Cadrin-Chênevert has authored 15 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Artificial Intelligence and 4 papers in Biomedical Engineering. Recurrent topics in Alexandre Cadrin-Chênevert's work include Radiomics and Machine Learning in Medical Imaging (9 papers), AI in cancer detection (5 papers) and Radiology practices and education (4 papers). Alexandre Cadrin-Chênevert is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), AI in cancer detection (5 papers) and Radiology practices and education (4 papers). Alexandre Cadrin-Chênevert collaborates with scholars based in Canada and United States. Alexandre Cadrin-Chênevert's co-authors include Phillip M. Cheng, Ian Pan, An Tang, Emmanuel Montagnon, Samuel Kadoury, Gabriel Chartrand, Francisco Romero, Rikiya Yamashita, Simon Turcotte and Franck Vandenbroucke‐Menu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Anesthesia & Analgesia.

In The Last Decade

Alexandre Cadrin-Chênevert

14 papers receiving 374 citations

Peers

Alexandre Cadrin-Chênevert

RNMI

PRM

Andrew Colucci United States

Alanna Vial Australia

Reabal Najjar Australia

Alexander Bilbily Canada

Satyananda Kashyap United States

Hanya Mahmood United Kingdom

Youmin Guo China

Gil-Sun Hong South Korea

Tomaž Omerzu Slovenia

Faraz Farhadi United States

Andrew Colucci United States

Alexandre Cadrin-Chênevert

227 ×0.9

RNMI

84 ×0.9

74 ×0.8

71 ×0.9

75 ×1.0

PRM

Citations per year, relative to Alexandre Cadrin-Chênevert Alexandre Cadrin-Chênevert (= 1×) peers Andrew Colucci

Countries citing papers authored by Alexandre Cadrin-Chênevert

Since Specialization

Citations

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

Fields of papers citing papers by Alexandre Cadrin-Chênevert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexandre Cadrin-Chênevert. 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 Alexandre Cadrin-Chênevert. The network helps show where Alexandre Cadrin-Chênevert may publish in the future.

Co-authorship network of co-authors of Alexandre Cadrin-Chênevert

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

All Works

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15 of 15 papers shown

Wu, Andrew, Merve Kulbay, Phillip M. Cheng, et al.. (2025). Deep Learning Models Connecting Images and Text: A Primer for Radiologists. Radiographics. 45(9). e240103–e240103.

Montagnon, Emmanuel, Milena Cerny, Francisco Romero, et al.. (2024). Radiomics analysis of baseline computed tomography to predict oncological outcomes in patients treated for resectable colorectal cancer liver metastasis. PLoS ONE. 19(9). e0307815–e0307815. 4 indexed citations

Qi, Yue, Alexandre Cadrin-Chênevert, Emmanuel Montagnon, et al.. (2024). Simulating federated learning for steatosis detection using ultrasound images. Scientific Reports. 14(1). 13253–13253. 7 indexed citations

Mullie, Louis, Madéleine Durand, Alexandre Cadrin-Chênevert, et al.. (2023). Interpretable clinical phenotypes among patients hospitalized with COVID-19 using cluster analysis. Frontiers in Digital Health. 5. 1142822–1142822. 5 indexed citations

Cadrin-Chênevert, Alexandre. (2023). Unleashing the Power of Deep Learning for Breast Cancer Detection through Open Mammography Datasets. Radiology Artificial Intelligence. 5(2). e220294–e220294. 1 indexed citations

Cadrin-Chênevert, Alexandre. (2022). Moving from ImageNet to RadImageNet for Improved Transfer Learning and Generalizability. Radiology Artificial Intelligence. 4(5). e220126–e220126. 10 indexed citations

Acar, Philippe, Benjamin Fine, Mohamed Abdolell, et al.. (2022). Assessment of Radiology Artificial Intelligence Software: A Validation and Evaluation Framework. Canadian Association of Radiologists Journal. 74(2). 326–333. 34 indexed citations

Cheng, Phillip M., Emmanuel Montagnon, Rikiya Yamashita, et al.. (2021). Deep Learning: An Update for Radiologists. Radiographics. 41(5). 1427–1445. 105 indexed citations

Kathiravelu, Pradeeban, Puneet Sharma, Ashish Sharma, et al.. (2021). A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology Images. Journal of Digital Imaging. 34(4). 1005–1013. 10 indexed citations

10.

Cadrin-Chênevert, Alexandre, et al.. (2021). Upgrade Rate of Atypical Ductal Hyperplasia: Ten Years Experience and Predictive Factors. Journal of Surgical Research. 266. 311–318. 5 indexed citations

11.

Kathiravelu, Pradeeban, Ashish Sharma, Saptarshi Purkayastha, et al.. (2020). Developing and Deploying Machine Learning Pipelines against Real-Time Image Streams from the PACS.. arXiv (Cornell University). 1 indexed citations

12.

Montagnon, Emmanuel, Milena Cerny, Alexandre Cadrin-Chênevert, et al.. (2020). Deep learning workflow in radiology: a primer. Insights into Imaging. 11(1). 22–22. 112 indexed citations

13.

Pan, Ian, Alexandre Cadrin-Chênevert, & Phillip M. Cheng. (2019). Tackling the Radiological Society of North America Pneumonia Detection Challenge. American Journal of Roentgenology. 213(3). 568–574. 58 indexed citations

14.

Williams, Stephan, et al.. (2009). A Comparison of Cervical Spine Motion During Orotracheal Intubation with the Trachlight® or the Flexible Fiberoptic Bronchoscope. Anesthesia & Analgesia. 108(5). 1638–1643. 21 indexed citations

15.

Chartrand‐Lefebvre, Carl, et al.. (2007). Coronary computed tomography angiography: overview of technical aspects, current concepts, and perspectives.. PubMed. 58(2). 92–108. 16 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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