Noelia Vállez

668 total citations
30 papers, 391 citations indexed

About

Noelia Vállez is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Noelia Vállez has authored 30 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Noelia Vállez's work include AI in cancer detection (9 papers), Anomaly Detection Techniques and Applications (7 papers) and Cell Image Analysis Techniques (5 papers). Noelia Vállez is often cited by papers focused on AI in cancer detection (9 papers), Anomaly Detection Techniques and Applications (7 papers) and Cell Image Analysis Techniques (5 papers). Noelia Vállez collaborates with scholars based in Spain, Switzerland and Germany. Noelia Vállez's co-authors include Óscar Déniz, Gloria Bueno, Jesús Ruiz-Santaquiteria, Gabriel Cristóbal, Jesús Salido, Aníbal Pedraza, Carlos Pastor‐Vargas, M. Milagro Fernández-Carrobles, Juan A. Álvarez-García and José Luís Espinosa-Aranda and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Noelia Vállez

29 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Noelia Vállez Spain 12 189 144 61 49 36 30 391
Nema Salem Saudi Arabia 8 89 0.5× 105 0.7× 58 1.0× 11 0.2× 29 0.8× 21 354
Lingqiao Li China 14 266 1.4× 399 2.8× 153 2.5× 54 1.1× 28 0.8× 44 678
LI Xiao-mei China 8 113 0.6× 166 1.2× 37 0.6× 54 1.1× 9 0.3× 36 329
Thái Hoàng Lê Vietnam 13 123 0.7× 238 1.7× 63 1.0× 5 0.1× 25 0.7× 73 570
Umair Khan Pakistan 9 241 1.3× 109 0.8× 84 1.4× 10 0.2× 10 0.3× 27 597
Edwin Vans Fiji 5 114 0.6× 50 0.3× 24 0.4× 19 0.4× 31 0.9× 6 358
Yuncong Feng China 12 86 0.5× 242 1.7× 48 0.8× 13 0.3× 14 0.4× 30 444
Iqbaldeep Kaur India 9 134 0.7× 236 1.6× 56 0.9× 10 0.2× 26 0.7× 27 462

Countries citing papers authored by Noelia Vállez

Since Specialization
Citations

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

Fields of papers citing papers by Noelia Vállez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noelia Vállez

This figure shows the co-authorship network connecting the top 25 collaborators of Noelia Vállez. A scholar is included among the top collaborators of Noelia Vállez 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 Noelia Vállez. Noelia Vállez 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.
Vállez, Noelia, et al.. (2025). Comparative analysis of deep learning methods for breast ultrasound lesion detection and classification. Physica Medica. 134. 104993–104993. 1 indexed citations
2.
Vállez, Noelia, et al.. (2025). BUS-UCLM: Breast ultrasound lesion segmentation dataset. Scientific Data. 12(1). 242–242. 11 indexed citations
3.
Salido, Jesús, Noelia Vállez, González-López Lucía, Óscar Déniz, & Gloria Bueno. (2023). Comparison of deep learning models for digital H&E staining from unpaired label-free multispectral microscopy images. Computer Methods and Programs in Biomedicine. 235. 107528–107528. 13 indexed citations
4.
Vállez, Noelia, José Luís Espinosa-Aranda, Aníbal Pedraza, Óscar Déniz, & Gloria Bueno. (2023). Deep Learning within a DICOM WSI Viewer for Histopathology. Applied Sciences. 13(17). 9527–9527. 3 indexed citations
5.
Vállez, Noelia, et al.. (2023). Efficient In-Orbit CNN Updates. 1–5. 1 indexed citations
6.
Ruiz-Santaquiteria, Jesús, et al.. (2022). Improving handgun detection through a combination of visual features and body pose-based data. Pattern Recognition. 136. 109252–109252. 14 indexed citations
7.
Vállez, Noelia, Gloria Bueno, Óscar Déniz, & Saúl Blanco. (2022). Diffeomorphic transforms for data augmentation of highly variable shape and texture objects. Computer Methods and Programs in Biomedicine. 219. 106775–106775. 7 indexed citations
8.
Ruiz-Santaquiteria, Jesús, Aníbal Pedraza, Noelia Vállez, & Alberto Velasco. (2022). Parasitic Egg Detection with a Deep Learning Ensemble. 2022 IEEE International Conference on Image Processing (ICIP). 4283–4286. 11 indexed citations
9.
Ruiz-Santaquiteria, Jesús, et al.. (2021). Handgun Detection Using Combined Human Pose and Weapon Appearance. IEEE Access. 9. 123815–123826. 37 indexed citations
10.
Ruiz-Santaquiteria, Jesús, et al.. (2021). Using human pose information for handgun detection. Neural Computing and Applications. 33(24). 17273–17286. 18 indexed citations
11.
Vállez, Noelia, et al.. (2020). Automatic Museum Audio Guide. Sensors. 20(3). 779–779. 4 indexed citations
12.
Vállez, Noelia, et al.. (2019). ¿Es posible entrenar modelos de aprendizaje profundo con datos sintéticos?. RUC (Universidade Da Coruña). 859–865. 2 indexed citations
13.
Espinosa-Aranda, José Luís, et al.. (2018). Smart Doll: Emotion Recognition Using Embedded Deep Learning. Symmetry. 10(9). 387–387. 13 indexed citations
14.
Déniz, Óscar, Noelia Vállez, José Luís Espinosa-Aranda, et al.. (2017). Eyes of Things. Sensors. 17(5). 1173–1173. 16 indexed citations
15.
Vállez, Noelia, Óscar Déniz, & Gloria Bueno. (2015). Sample Selection for Training Cascade Detectors. PLoS ONE. 10(7). e0133059–e0133059. 1 indexed citations
16.
Déniz, Óscar, et al.. (2014). OpenCV Essentials.
17.
Vállez, Noelia, Gloria Bueno, Óscar Déniz, et al.. (2013). Breast density classification to reduce false positives in CADe systems. Computer Methods and Programs in Biomedicine. 113(2). 569–584. 28 indexed citations
18.
Bueno, Gloria, M. Milagro Fernández-Carrobles, Óscar Déniz, et al.. (2013). An entropy-based automated approach to prostate biopsy ROI segmentation. Diagnostic Pathology. 8(S1). 3 indexed citations
19.
Bueno, Gloria, R. González, Óscar Déniz, et al.. (2012). A parallel solution for high resolution histological image analysis. Computer Methods and Programs in Biomedicine. 108(1). 388–401. 15 indexed citations
20.
Bueno, Gloria, et al.. (2010). Automatic breast parenchymal density classification integrated into a CADe system. International Journal of Computer Assisted Radiology and Surgery. 6(3). 309–318. 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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