Keelin Murphy

8.5k total citations · 3 hit papers
40 papers, 5.1k citations indexed

About

Keelin Murphy is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Keelin Murphy has authored 40 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Pulmonary and Respiratory Medicine and 9 papers in Artificial Intelligence. Recurrent topics in Keelin Murphy's work include COVID-19 diagnosis using AI (19 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Lung Cancer Diagnosis and Treatment (14 papers). Keelin Murphy is often cited by papers focused on COVID-19 diagnosis using AI (19 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Lung Cancer Diagnosis and Treatment (14 papers). Keelin Murphy collaborates with scholars based in Netherlands, Germany and United States. Keelin Murphy's co-authors include Josien P. W. Pluim, Marius Staring, Stefan Klein, Max A. Viergever, Bram van Ginneken, Mathias Prokop, Hester A. Gietema, Erdi Çallı, Ecem Sogancioglu and Kicky G. van Leeuwen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Keelin Murphy

40 papers receiving 4.9k citations

Hit Papers

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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.

elastix: A Toolbox for Intensity-Based Medical Image Registration

2009 3.0k citations Keelin Murphy, Max A. Viergever et al. profile →
The bayes net toolbox for matlab

2001 702 citations Keelin Murphy profile →
Deep learning for chest X-ray analysis: A survey

2021 264 citations Erdi Çallı, Ecem Sogancioglu et al. Medical Image Analysis profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Keelin Murphy	2.7k	1.1k	1.0k	803	758	40	5.1k
Marius Staring	3.4k 1.3×	967 0.9×	2.6k 2.5×	1.5k 1.9×	566 0.7×	109	6.7k
Andreas Maier	2.7k 1.0×	913 0.8×	1.5k 1.5×	2.2k 2.7×	1.5k 2.0×	613	8.1k
Julia A. Schnabel	2.6k 1.0×	428 0.4×	2.1k 2.0×	1.0k 1.3×	673 0.9×	188	4.8k
Fred Prior	3.3k 1.2×	1.2k 1.1×	909 0.9×	907 1.1×	1.4k 1.9×	116	6.3k
Heinz Handels	1.3k 0.5×	549 0.5×	1.2k 1.2×	786 1.0×	557 0.7×	213	3.6k
Qian Wang	3.2k 1.2×	561 0.5×	2.4k 2.3×	1.2k 1.5×	1.4k 1.8×	308	7.0k
Bjoern Menze	2.1k 0.8×	485 0.4×	1.3k 1.3×	863 1.1×	851 1.1×	199	5.6k
Miles N. Wernick	2.1k 0.8×	357 0.3×	829 0.8×	1.2k 1.5×	570 0.8×	199	3.9k
Ziyue Xu	3.0k 1.1×	995 0.9×	1.9k 1.9×	814 1.0×	2.5k 3.2×	72	6.6k
Ulaş Bağcı	2.1k 0.8×	809 0.7×	1.2k 1.1×	636 0.8×	934 1.2×	217	4.2k

Countries citing papers authored by Keelin Murphy

Since Specialization

Citations

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

Fields of papers citing papers by Keelin Murphy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keelin Murphy

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

Korte, Chris L. de, Bram van Ginneken, Satoshi Kondo, et al.. (2025). ACOUSLIC-AI challenge report: Fetal abdominal circumference measurement on blind-sweep ultrasound data from low-income countries. Medical Image Analysis. 105. 103640–103640. 1 indexed citations

Murphy, Keelin, Klaus Reither, Irene Ayakaka, et al.. (2025). Performance of CAD4TB artificial intelligence technology in TB screening programmes among the adult population in South Africa and Lesotho. Journal of Clinical Tuberculosis and Other Mycobacterial Diseases. 40. 100540–100540. 1 indexed citations

Scott, Alex, Mohammed Limbada, Tahlia Perumal, et al.. (2024). Integrating molecular and radiological screening tools during community-based active case-finding for tuberculosis and COVID-19 in southern Africa. International Journal of Infectious Diseases. 145. 107081–107081. 2 indexed citations

Ayakaka, Irene, Alastair van Heerden, Niklaus Daniel Labhardt, et al.. (2024). Evaluation of C-Reactive Protein and Computer-Aided Analysis of Chest X-rays as Tuberculosis Triage Tests at Health Facilities in Lesotho and South Africa. Clinical Infectious Diseases. 79(5). 1293–1302. 2 indexed citations

Schalekamp, Steven, Kicky G. van Leeuwen, Erdi Çallı, et al.. (2024). Performance of AI to exclude normal chest radiographs to reduce radiologists’ workload. European Radiology. 34(11). 7255–7263. 8 indexed citations

Heerden, Alastair van, Irene Ayakaka, Keelin Murphy, et al.. (2023). Incidental radiological findings during clinical tuberculosis screening in Lesotho and South Africa: a case series. Journal of Medical Case Reports. 17(1). 365–365. 1 indexed citations

Palmer, Megan, James A. Seddon, Marieke M. van der Zalm, et al.. (2023). Optimising computer aided detection to identify intra-thoracic tuberculosis on chest x-ray in South African children. SHILAP Revista de lepidopterología. 3(5). e0001799–e0001799. 10 indexed citations

Bresser, Moniek, Josephine Muhairwe, Irene Ayakaka, et al.. (2023). Impact of a multi-disease integrated screening and diagnostic model for COVID-19, TB, and HIV in Lesotho. PLOS Global Public Health. 3(8). e0001488–e0001488. 5 indexed citations

Çallı, Erdi, Keelin Murphy, Ernst T. Scholten, Steven Schalekamp, & Bram van Ginneken. (2022). Explainable emphysema detection on chest radiographs with deep learning. PLoS ONE. 17(7). e0267539–e0267539. 3 indexed citations

10.

Çallı, Erdi, Ecem Sogancioglu, Bram van Ginneken, Kicky G. van Leeuwen, & Keelin Murphy. (2021). Deep learning for chest X-ray analysis: A survey. Medical Image Analysis. 72. 102125–102125. 264 indexed citations breakdown →

11.

Çallı, Erdi, Keelin Murphy, Steef Kurstjens, et al.. (2021). Deep learning with robustness to missing data: A novel approach to the detection of COVID-19. PLoS ONE. 16(7). e0255301–e0255301. 5 indexed citations

12.

Murphy, Keelin, Arnoud J.G. Knoops, Ernst T. Scholten, et al.. (2020). COVID-19 on Chest Radiographs: A Multireader Evaluation of an Artificial Intelligence System. Radiology. 296(3). E166–E172. 146 indexed citations

13.

Çallı, Erdi, Ernst T. Scholten, Keelin Murphy, Bram van Ginneken, & Ecem Sogancioglu. (2019). Handling label noise through model confidence and uncertainty: application to chest radiograph classification. 41–41. 9 indexed citations

14.

Çallı, Erdi, Keelin Murphy, Ecem Sogancioglu, & Bram van Ginneken. (2019). FRODO: Free rejection of out-of-distribution samples: application to chest x-ray analysis. arXiv (Cornell University). 2 indexed citations

15.

Jacobs, Colin, Eva M. van Rikxoort, Keelin Murphy, et al.. (2015). Computer-aided detection of pulmonary nodules: a comparative study using the public LIDC/IDRI database. European Radiology. 26(7). 2139–2147. 90 indexed citations

16.

Murphy, Keelin, Josien P. W. Pluim, Eva M. van Rikxoort, et al.. (2012). Toward automatic regional analysis of pulmonary function using inspiration and expiration thoracic CT. Medical Physics. 39(3). 1650–1662. 35 indexed citations

17.

Hoop, Bartjan de, et al.. (2010). Pulmonary Ground-Glass Nodules: Increase in Mass as an Early Indicator of Growth. Radiology. 255(1). 199–206. 159 indexed citations

18.

Arzhaeva, Yulia, Mathias Prokop, Keelin Murphy, et al.. (2009). Automated estimation of progression of interstitial lung disease in CT images. Medical Physics. 37(1). 63–73. 17 indexed citations

19.

Murphy, Keelin, et al.. (2009). A large-scale evaluation of automatic pulmonary nodule detection in chest CT using local image features and k-nearest-neighbour classification. Medical Image Analysis. 13(5). 757–770. 230 indexed citations

20.

Kabus, Sven, Tobias Klinder, Keelin Murphy, et al.. (2009). Evaluation of 4D-CT Lung Registration. Lecture notes in computer science. 12(Pt 1). 747–754. 45 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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