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 South Africa. 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, Ecem Sogancioglu, Erdi Çallı 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

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.

elastix: A Toolbox for Intensity-Based Medical Image Registration

2009 3.0k citations Stefan Klein, Marius Staring et al. IEEE Transactions on Medical Imaging 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 →

Peers

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

#	Work	Indexed citations
1	ACOUSLIC-AI challenge report: Fetal abdominal circumference measurement on blind-sweep ultrasound data from low-income countries 2025 ·Medical Image Analysis ·(unknown), Chris L. de Korte, Bram van Ginneken, (unknown), Satoshi Kondo, Satoshi Kasai, (unknown), (unknown), Carlos Martín-Isla, Karim Lekadir, Víctor M. Campello, (unknown), (unknown), (unknown), (unknown), Keelin Murphy	1
2	Performance of CAD4TB artificial intelligence technology in TB screening programmes among the adult population in South Africa and Lesotho 2025 ·Journal of Clinical Tuberculosis and Other Mycobacterial Diseases ·(unknown), Keelin Murphy, Klaus Reither, (unknown), Irene Ayakaka, Tracy R. Glass, Fiona Vanobberghen, Bart K. M. Jacobs, Aita Signorell, Jabulani Ncayiyana	1
3	Integrating molecular and radiological screening tools during community-based active case-finding for tuberculosis and COVID-19 in southern Africa 2024 ·International Journal of Infectious Diseases ·Alex Scott, Mohammed Limbada, Tahlia Perumal, Shameem Z. Jaumdally, (unknown), (unknown), (unknown), (unknown), Keelin Murphy, Bram van Ginneken, (unknown), Robin M. Warren, Phindile Gina, (unknown), (unknown), Suzette Oelofse, Anil Pooran, Aliasgar Esmail, Helen Ayles, Keertan Dheda	2
4	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 2024 ·Clinical Infectious Diseases ·(unknown), Irene Ayakaka, (unknown), (unknown), Alastair van Heerden, (unknown), Niklaus Daniel Labhardt, Gregor Sommer, Jens Bremerich, Thomas Zöller, Keelin Murphy, Bram van Ginneken, Alfred Keter, Bart K. M. Jacobs, Moniek Bresser, Aita Signorell, Tracy R. Glass, Lutgarde Lynen, Klaus Reither	2
5	Incidental radiological findings during clinical tuberculosis screening in Lesotho and South Africa: a case series 2023 ·Journal of Medical Case Reports ·(unknown), (unknown), (unknown), Alastair van Heerden, (unknown), (unknown), Irene Ayakaka, Keelin Murphy, Aita Signorell, Lutgarde Lynen, Jens Bremerich, Klaus Reither	1
6	Impact of a multi-disease integrated screening and diagnostic model for COVID-19, TB, and HIV in Lesotho 2023 ·PLOS Global Public Health ·(unknown), Moniek Bresser, (unknown), (unknown), (unknown), (unknown), Josephine Muhairwe, Irene Ayakaka, Tracy R. Glass, Morten Rühwald, Bram van Ginneken, Keelin Murphy, Margaretha de Vos, Alain Amstutz, (unknown), (unknown), Klaus Reither, Lucía González Fernández	5
7	Computer-aided detection thresholds for digital chest radiography interpretation in tuberculosis diagnostic algorithms 2023 ·ERJ Open Research ·Fiona Vanobberghen, Alfred Keter, Bart K. M. Jacobs, Tracy R. Glass, Lutgarde Lynen, Irwin Law, Keelin Murphy, Bram van Ginneken, Irene Ayakaka, Alastair van Heerden, (unknown), Klaus Reither	6
8	Explainable emphysema detection on chest radiographs with deep learning 2022 ·PLoS ONE ·Erdi Çallı, Keelin Murphy, Ernst T. Scholten, Steven Schalekamp, Bram van Ginneken	3
9	Deep learning for chest X-ray analysis: A survey breakdown → 2021 ·Medical Image Analysis ·Erdi Çallı, Ecem Sogancioglu, Bram van Ginneken, Kicky G. van Leeuwen, Keelin Murphy	264
10	COVID-19 on Chest Radiographs: A Multireader Evaluation of an Artificial Intelligence System 2020 ·Radiology ·Keelin Murphy, (unknown), Arnoud J.G. Knoops, (unknown), (unknown), Ernst T. Scholten, Steven Schalekamp, Cornelia Schaefer‐Prokop, Rick H. H. M. Philipsen, (unknown), Jaime Melendez, Bram van Ginneken, Matthieu Rutten	146
11	Handling label noise through model confidence and uncertainty: application to chest radiograph classification 2019 ·Erdi Çallı, Ernst T. Scholten, Keelin Murphy, Bram van Ginneken, Ecem Sogancioglu	9
12	FRODO: Free rejection of out-of-distribution samples: application to chest x-ray analysis 2019 ·arXiv (Cornell University) ·Erdi Çallı, Keelin Murphy, Ecem Sogancioglu, Bram van Ginneken	2
13	Automatic quantification of ischemic injury on diffusion-weighted MRI of neonatal hypoxic ischemic encephalopathy 2017 ·NeuroImage Clinical ·Keelin Murphy, Niek E. van der Aa, Simona Negro, Floris Groenendaal, Linda S. de Vries, Max A. Viergever, Geraldine B. Boylan, Manon J.N.L. Benders, Ivana Išgum	12
14	Computer-aided detection of pulmonary nodules: a comparative study using the public LIDC/IDRI database 2015 ·European Radiology ·Colin Jacobs, Eva M. van Rikxoort, Keelin Murphy, Mathias Prokop, Cornelia Schaefer‐Prokop, Bram van Ginneken	90
15	Toward automatic regional analysis of pulmonary function using inspiration and expiration thoracic CT 2012 ·Medical Physics ·Keelin Murphy, Josien P. W. Pluim, Eva M. van Rikxoort, Pim A. de Jong, Bartjan de Hoop, Hester A. Gietema, Onno M. Mets, Marleen de Bruijne, Pechin Lo, Mathias Prokop, Bram van Ginneken	35
16	Semi-automatic construction of reference standards for evaluation of image registration 2010 ·Medical Image Analysis ·Keelin Murphy, Bram van Ginneken, Stefan Klein, Marius Staring, (unknown), Max A. Viergever, Josien P. W. Pluim	84
17	Automated estimation of progression of interstitial lung disease in CT images 2009 ·Medical Physics ·Yulia Arzhaeva, Mathias Prokop, Keelin Murphy, Eva M. van Rikxoort, Pim A. de Jong, Hester A. Gietema, Max A. Viergever, Bram van Ginneken	17
18	A large-scale evaluation of automatic pulmonary nodule detection in chest CT using local image features and k-nearest-neighbour classification 2009 ·Medical Image Analysis ·Keelin Murphy, Bram van Ginneken, Arnold M. R. Schilham, (unknown), Hester A. Gietema, Mathias Prokop	230
19	Evaluation of 4D-CT Lung Registration 2009 ·Lecture notes in computer science ·Sven Kabus, Tobias Klinder, Keelin Murphy, Bram van Ginneken, Cristian Lorenz, Josien P. W. Pluim	45
20	elastix: A Toolbox for Intensity-Based Medical Image Registration breakdown → 2009 ·IEEE Transactions on Medical Imaging ·Stefan Klein, Marius Staring, Keelin Murphy, Max A. Viergever, Josien P. W. Pluim	2991

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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