Anna Karahaliou

869 total citations
27 papers, 622 citations indexed

About

Anna Karahaliou is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Anna Karahaliou has authored 27 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Artificial Intelligence and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Anna Karahaliou's work include Radiomics and Machine Learning in Medical Imaging (18 papers), AI in cancer detection (14 papers) and Medical Image Segmentation Techniques (7 papers). Anna Karahaliou is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (18 papers), AI in cancer detection (14 papers) and Medical Image Segmentation Techniques (7 papers). Anna Karahaliou collaborates with scholars based in Greece. Anna Karahaliou's co-authors include Lena Costaridou, Spyros Skiadopoulos, George Panayiotakis, Alexandra Kazantzi, Ioannis Boniatis, Katerina Vassiou, Ioannis Pratikakis, Konstantinos Zagoris, Lazaros Tsochatzidis and Christina Kalogeropoulou and has published in prestigious journals such as Pattern Recognition, Medical Physics and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

Anna Karahaliou

25 papers receiving 587 citations

Peers

Anna Karahaliou

RNMI

CVPR

PRM

Spyros Skiadopoulos Greece

Jie-Zhi Cheng Taiwan

Cai Chang China

Josep Pont Spain

Afsaneh Jalalian Iran

Iringo Kovacs Netherlands

Alexi Baidoshvili Netherlands

Norman Zerbe Germany

Krzysztof J. Geras United States

Yan‐Wei Lee Taiwan

Spyros Skiadopoulos Greece

Anna Karahaliou

381 ×1.0

RNMI

276 ×0.9

187 ×0.9

CVPR

159 ×1.3

PRM

75 ×1.3

Citations per year, relative to Anna Karahaliou Anna Karahaliou (= 1×) peers Spyros Skiadopoulos

Countries citing papers authored by Anna Karahaliou

Since Specialization

Citations

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

Fields of papers citing papers by Anna Karahaliou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Karahaliou

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

Karahaliou, Anna, et al.. (2020). Multi-parametric MRI lesion heterogeneity biomarkers for breast cancer diagnosis. Physica Medica. 80. 101–110. 17 indexed citations

Skiadopoulos, Spyros, et al.. (2019). Quantitative assessment of microcalcification cluster image quality in digital breast tomosynthesis, 2-dimensional and synthetic mammography. Medical & Biological Engineering & Computing. 58(1). 187–209. 6 indexed citations

Tsochatzidis, Lazaros, et al.. (2017). Computer-aided diagnosis of mammographic masses based on a supervised content-based image retrieval approach. Pattern Recognition. 71. 106–117. 74 indexed citations

Skiadopoulos, Spyros, et al.. (2016). The effect of increased body mass index on patient dose in paediatric radiography. European Journal of Radiology. 85(10). 1689–1694. 3 indexed citations

Skiadopoulos, Spyros, et al.. (2016). Contrast and depth resolution of breast lessions in a digital breast tomosynthesis system. Physica Medica. 32. 277–277.

Vassiou, Katerina, et al.. (2015). A two‐stage method for microcalcification cluster segmentation in mammography by deformable models. Medical Physics. 42(10). 5848–5861. 10 indexed citations

Koniari, Ioanna, Efstratios Apostolakis, Αθανάσιος Διαμαντόπουλος, et al.. (2014). Transauricular balloon angioplasty in rabbit thoracic aorta: a novel model of experimental restenosis. Lipids in Health and Disease. 13(1). 33–33. 6 indexed citations

Kazantzi, Alexandra, et al.. (2014). Automated 3D Ιnterstitial Lung Disease Εxtent Quantification: Performance Evaluation and Correlation to PFTs. Journal of Digital Imaging. 27(3). 380–391. 11 indexed citations

Skiadopoulos, Spyros, et al.. (2013). Improving image quality in dual energy CT by edge-enhancing diffusion denoising. 1–4. 3 indexed citations

10.

Karahaliou, Anna, et al.. (2012). Quantitative Visually Lossless Compression Ratio Determination of JPEG2000 in Digitized Mammograms. Journal of Digital Imaging. 26(3). 427–439. 7 indexed citations

11.

Karahaliou, Anna, et al.. (2011). Vessel Tree Segmentation in Presence of Interstitial Lung Disease in MDCT. IEEE Transactions on Information Technology in Biomedicine. 15(2). 214–220. 22 indexed citations

12.

Karahaliou, Anna, et al.. (2010). Assessing heterogeneity of lesion enhancement kinetics in dynamic contrast-enhanced MRI for breast cancer diagnosis. British Journal of Radiology. 83(988). 296–309. 109 indexed citations

13.

Karahaliou, Anna, et al.. (2010). Size-adapted microcalcification segmentation in mammography utilizing scale-space signatures. Computerized Medical Imaging and Graphics. 34(6). 487–493. 13 indexed citations

14.

Karahaliou, Anna, et al.. (2009). Texture-Based Identification and Characterization of Interstitial Pneumonia Patterns in Lung Multidetector CT. IEEE Transactions on Information Technology in Biomedicine. 14(3). 675–680. 67 indexed citations

15.

Karahaliou, Anna, et al.. (2009). Quantifying heterogeneity of lesion uptake in dynamic contrast enhanced MRI for breast cancer diagnosis. Journal of Instrumentation. 4(7). P07014–P07014. 5 indexed citations

16.

Karahaliou, Anna, et al.. (2008). Breast Cancer Diagnosis: Analyzing Texture of Tissue Surrounding Microcalcifications. IEEE Transactions on Information Technology in Biomedicine. 12(6). 731–738. 90 indexed citations

17.

Kalogeropoulou, Christina, et al.. (2008). Texture classification‐based segmentation of lung affected by interstitial pneumonia in high‐resolution CT. Medical Physics. 35(12). 5290–5302. 44 indexed citations

18.

Karahaliou, Anna, et al.. (2008). Size-adapted segmentation of individual mammographic microcalcifications. 25. 1–5. 2 indexed citations

19.

Michail, Georgios, Anna Karahaliou, Spyros Skiadopoulos, et al.. (2007). Texture analysis of perimenopausal and post-menopausal endometrial tissue in grayscale transvaginal ultrasonography. British Journal of Radiology. 80(956). 609–616. 17 indexed citations

20.

Karahaliou, Anna, et al.. (2007). Texture analysis of tissue surrounding microcalcifications on mammograms for breast cancer diagnosis. British Journal of Radiology. 80(956). 648–656. 74 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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