Andrés Larroza

699 total citations
16 papers, 466 citations indexed

About

Andrés Larroza is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Andrés Larroza has authored 16 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Biomedical Engineering. Recurrent topics in Andrés Larroza's work include Radiomics and Machine Learning in Medical Imaging (9 papers), Advanced X-ray and CT Imaging (5 papers) and Medical Imaging Techniques and Applications (4 papers). Andrés Larroza is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), Advanced X-ray and CT Imaging (5 papers) and Medical Imaging Techniques and Applications (4 papers). Andrés Larroza collaborates with scholars based in Spain, Hungary and Poland. Andrés Larroza's co-authors include David Moratal, Estanislao Arana, Vicente Bodı́, José V. Monmeneu, María P. López‐Lereu, Andrzej Materka, M. Chust, L. Arribas, Emilio Soria‐Olivas and Francisco J. Chorro and has published in prestigious journals such as SHILAP Revista de lepidopterología, Medical Physics and Journal of Magnetic Resonance Imaging.

In The Last Decade

Andrés Larroza

15 papers receiving 464 citations

Peers

Andrés Larroza
Manudeep Kalra United States
Mohammad Reza Deevband Iran
Mehrdad Oveisi Iran
Sean D. McGarry United States
Khashayar Namdar Canada
Beomseok Sohn South Korea
Rabih Hammoud United States
Sungwon Ham South Korea
Ryo Sakamoto Japan
Kelsey L. Pomykala Germany
Manudeep Kalra United States
Andrés Larroza
Citations per year, relative to Andrés Larroza Andrés Larroza (= 1×) peers Manudeep Kalra

Countries citing papers authored by Andrés Larroza

Since Specialization
Citations

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

Fields of papers citing papers by Andrés Larroza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrés Larroza

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

All Works

16 of 16 papers shown
1.
Larroza, Andrés, et al.. (2024). Breast Delineation in Full-Field Digital Mammography Using the Segment Anything Model. Diagnostics. 14(10). 1015–1015. 3 indexed citations
2.
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Larroza, Andrés, Juan-Carlos Pérez-Cortés, Marina Pollán, et al.. (2022). A deep learning framework to classify breast density with noisy labels regularization. Computer Methods and Programs in Biomedicine. 221. 106885–106885. 10 indexed citations
4.
Larroza, Andrés, Juan-Carlos Pérez-Cortés, Marta Román, et al.. (2022). Breast Dense Tissue Segmentation with Noisy Labels: A Hybrid Threshold-Based and Mask-Based Approach. Diagnostics. 12(8). 1822–1822. 5 indexed citations
5.
Larroza, Andrés, et al.. (2019). PET scatter correction using machine learning techniques. 1–3. 2 indexed citations
6.
Larroza, Andrés, et al.. (2019). Deep learning for MRI-based CT synthesis: a comparison of MRI sequences and neural network architectures. RiuNet (Politechnical University of Valencia). 1–4. 1 indexed citations
7.
Larroza, Andrés, et al.. (2018). Classifying brain metastases by their primary site of origin using a radiomics approach based on texture analysis: a feasibility study. European Radiology. 28(11). 4514–4523. 109 indexed citations
8.
Larroza, Andrés, María P. López‐Lereu, José V. Monmeneu, et al.. (2018). Texture analysis of cardiac cine magnetic resonance imaging to detect nonviable segments in patients with chronic myocardial infarction. Medical Physics. 45(4). 1471–1480. 70 indexed citations
9.
Larroza, Andrés, et al.. (2017). 2D and 3D texture analysis to differentiate brain metastases on MR images: proceed with caution. Magnetic Resonance Materials in Physics Biology and Medicine. 31(2). 285–294. 29 indexed citations
10.
Larroza, Andrés, María P. López‐Lereu, José V. Monmeneu, Vicente Bodı́, & David Moratal. (2017). Texture analysis for infarcted myocardium detection on delayed enhancement MRI. 1066–1069. 7 indexed citations
11.
Larroza, Andrés, et al.. (2017). A radiomics evaluation of 2D and 3D MRI texture features to classify brain metastases from lung cancer and melanoma. PubMed. 2017. 493–496. 41 indexed citations
12.
Larroza, Andrés, Andrzej Materka, María P. López‐Lereu, et al.. (2017). Differentiation between acute and chronic myocardial infarction by means of texture analysis of late gadolinium enhancement and cine cardiac magnetic resonance imaging. European Journal of Radiology. 92. 78–83. 84 indexed citations
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Larroza, Andrés, David Moratal, Emilio Soria‐Olivas, et al.. (2015). Support vector machine classification of brain metastasis and radiation necrosis based on texture analysis in MRI. Journal of Magnetic Resonance Imaging. 42(5). 1362–1368. 79 indexed citations
15.
Larroza, Andrés, et al.. (2013). Tractography of the uncinate fasciculus and the posterior cingulate fasciculus in patients with mild cognitive impairment and Alzheimer disease. SHILAP Revista de lepidopterología. 29(1). 11–20. 11 indexed citations
16.

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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2026