Sandra Morales

1.3k total citations · 1 hit paper
25 papers, 820 citations indexed

About

Sandra Morales is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Ophthalmology. According to data from OpenAlex, Sandra Morales has authored 25 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Computer Vision and Pattern Recognition and 13 papers in Ophthalmology. Recurrent topics in Sandra Morales's work include Retinal Imaging and Analysis (17 papers), Glaucoma and retinal disorders (12 papers) and Digital Imaging for Blood Diseases (8 papers). Sandra Morales is often cited by papers focused on Retinal Imaging and Analysis (17 papers), Glaucoma and retinal disorders (12 papers) and Digital Imaging for Blood Diseases (8 papers). Sandra Morales collaborates with scholars based in Spain, Norway and Denmark. Sandra Morales's co-authors include Valery Naranjo, Andres Diaz‐Pinto, Amparo Návea, José M. Mossi, Thomas Köhler, Mariano Alcañíz, Adrián Colomer, Jesús A. Angulo, Kjersti Engan and Alejandro F. Frangi and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Computer Methods and Programs in Biomedicine and IEEE Journal of Biomedical and Health Informatics.

In The Last Decade

Sandra Morales

23 papers receiving 771 citations

Hit Papers

CNNs for automatic glaucoma assessment using fundus image... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sandra Morales Spain 9 673 507 452 115 78 25 820
Alauddin Bhuiyan Australia 19 1.0k 1.5× 885 1.7× 471 1.0× 74 0.6× 121 1.6× 66 1.3k
Andres Diaz‐Pinto United Kingdom 8 503 0.7× 330 0.7× 306 0.7× 81 0.7× 67 0.9× 14 637
José Ignacio Orlando Argentina 12 768 1.1× 552 1.1× 466 1.0× 98 0.9× 76 1.0× 32 914
Swamidoss Issac Niwas India 14 279 0.4× 202 0.4× 212 0.5× 140 1.2× 90 1.2× 19 499
Mark J. J. P. van Grinsven Netherlands 9 672 1.0× 547 1.1× 228 0.5× 91 0.8× 143 1.8× 17 823
Rongchang Zhao China 15 554 0.8× 366 0.7× 367 0.8× 128 1.1× 54 0.7× 41 767
Adrián Colomer Spain 16 440 0.7× 226 0.4× 293 0.6× 323 2.8× 100 1.3× 56 796
Attila Budai Germany 9 1.0k 1.5× 784 1.5× 589 1.3× 58 0.5× 112 1.4× 15 1.1k
Bart Liefers Netherlands 16 696 1.0× 609 1.2× 179 0.4× 83 0.7× 162 2.1× 28 870
Paweł Liskowski Poland 8 553 0.8× 363 0.7× 424 0.9× 158 1.4× 34 0.4× 17 742

Countries citing papers authored by Sandra Morales

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Morales

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandra Morales

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

All Works

20 of 20 papers shown
1.
Silva-Rodríguez, Julio, et al.. (2024). Uninformed Teacher-Student for hard-samples distillation in weakly supervised mitosis localization. Computerized Medical Imaging and Graphics. 112. 102328–102328. 8 indexed citations
3.
Bernabéu, Ángela, Sandra Morales, Valery Naranjo, & Ángel Pérez Sempere. (2021). Contribution of Gray Matter Atrophy and White Matter Damage to Cognitive Impairment in Mildly Disabled Relapsing-Remitting Multiple Sclerosis Patients. Diagnostics. 11(3). 578–578. 7 indexed citations
4.
Amor, Rocío del, Sandra Morales, Adrián Colomer, et al.. (2020). Automatic Segmentation of Epidermis and Hair Follicles in Optical Coherence Tomography Images of Normal Skin by Convolutional Neural Networks. Frontiers in Medicine. 7. 220–220. 29 indexed citations
5.
Morales, Sandra, Adrián Colomer, José M. Mossi, et al.. (2020). Retinal layer segmentation in rodent OCT images: Local intensity profiles & fully convolutional neural networks. Computer Methods and Programs in Biomedicine. 198. 105788–105788. 9 indexed citations
6.
Diaz‐Pinto, Andres, Adrián Colomer, Valery Naranjo, et al.. (2019). Retinal Image Synthesis and Semi-Supervised Learning for Glaucoma Assessment. IEEE Transactions on Medical Imaging. 38(9). 2211–2218. 148 indexed citations
7.
Diaz‐Pinto, Andres, Sandra Morales, Valery Naranjo, et al.. (2019). CNNs for automatic glaucoma assessment using fundus images: an extensive validation. BioMedical Engineering OnLine. 18(1). 29–29. 289 indexed citations breakdown →
8.
Amor, Rocío del, Sandra Morales, José M. Mossi, et al.. (2019). Towards Automatic Glaucoma Assessment: An Encoder-decoder CNN for Retinal Layer Segmentation in Rodent OCT images. Research at the University of Copenhagen (University of Copenhagen). 1–5. 5 indexed citations
9.
Diaz‐Pinto, Andres, Sandra Morales, Valery Naranjo, & Amparo Návea. (2019). Computer-Aided Glaucoma Diagnosis Using Stochastic Watershed Transformation on Single Fundus Images. Journal of Medical Imaging and Health Informatics. 9(6). 1057–1065. 3 indexed citations
10.
Morales, Sandra, et al.. (2017). BRAIM: A computer-aided diagnosis system for neurodegenerative diseases and brain lesion monitoring from volumetric analyses. Computer Methods and Programs in Biomedicine. 145. 167–179. 8 indexed citations
11.
Morales, Sandra, et al.. (2017). Retinal network characterization through fundus image processing: Significant point identification on vessel centerline. Signal Processing Image Communication. 59. 50–64. 10 indexed citations
12.
Diaz‐Pinto, Andres, et al.. (2016). Glaucoma diagnosis by means of optic cup feature analysis in color fundus images. 2055–2059. 8 indexed citations
13.
Morales, Sandra, Valery Naranjo, Adrián Colomer, & Mariano Alcañíz. (2015). Significant point characterization in fundus images. 331–336. 1 indexed citations
14.
Morales, Sandra, Kjersti Engan, Valery Naranjo, & Adrián Colomer. (2015). Retinal Disease Screening Through Local Binary Patterns. IEEE Journal of Biomedical and Health Informatics. 21(1). 184–192. 57 indexed citations
15.
Morales, Sandra, et al.. (2015). Determination of Bifurcation Angles of the Retinal Vascular Tree through Multiple Orientation Estimation based on Regularized Morphological Openings. Digital Repository (Polytechnic University of Cartagena). 126–131. 2 indexed citations
16.
Naranjo, Valery, et al.. (2014). Probability density function of object contours using regional regularized stochastic watershed. HAL (Le Centre pour la Communication Scientifique Directe). abs 1204 2837. 4762–4766.
17.
Morales, Sandra, et al.. (2014). Image-asssited system for the diagnosis of bladder tumor recurrence. smc 9. 141–144.
18.
Morales, Sandra, Valery Naranjo, Jesús A. Angulo, & Mariano Alcañíz. (2013). Automatic Detection of Optic Disc Based on PCA and Mathematical Morphology. IEEE Transactions on Medical Imaging. 32(4). 786–796. 160 indexed citations
19.
Morales, Sandra, Valery Naranjo, David Pérez, Amparo Návea, & Mariano Alcañíz. (2012). Automatic detection of optic disc based on PCA and stochastic watershed. European Signal Processing Conference. 2605–2609. 8 indexed citations
20.
Morales, Sandra, Valery Naranjo, Jesύs Angulo, Juan J. Fuertes, & Mariano Alcañíz. (2012). SEGMENTATION AND ANALYSIS OF RETINAL VASCULAR TREE FROM FUNDUS IMAGES PROCESSING. 321–324. 9 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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