Julio Silva-Rodríguez

496 total citations
14 papers, 220 citations indexed

About

Julio Silva-Rodríguez is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Julio Silva-Rodríguez has authored 14 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Biomedical Engineering. Recurrent topics in Julio Silva-Rodríguez's work include AI in cancer detection (10 papers), Digital Imaging for Blood Diseases (4 papers) and Prostate Cancer Diagnosis and Treatment (3 papers). Julio Silva-Rodríguez is often cited by papers focused on AI in cancer detection (10 papers), Digital Imaging for Blood Diseases (4 papers) and Prostate Cancer Diagnosis and Treatment (3 papers). Julio Silva-Rodríguez collaborates with scholars based in Spain, Canada and Norway. Julio Silva-Rodríguez's co-authors include Valery Naranjo, Adrián Colomer, Rafael Molina, José Dolz, Ismail Ben Ayed, Pablo Salvador Zuriaga, Rocío del Amor, Ricardo Insa, Sandra Morales and Emiel A. M. Janssen and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Medical Image Analysis.

In The Last Decade

Julio Silva-Rodríguez

11 papers receiving 211 citations

Peers

Julio Silva-Rodríguez

RNMI

CVPR

PRM

Ruining Deng United States

Quoc Dang Vu United Kingdom

Zhaoyang Xu China

Niccolò Marini Switzerland

Vivek Natarajan United States

Fanjie Kong China

Aaron Loh United States

Firas Khader Germany

Pushpak Pati Switzerland

Ruining Deng United States

Julio Silva-Rodríguez

152 ×0.9

98 ×0.9

RNMI

128 ×1.5

CVPR

39 ×1.3

PRM

24 ×0.9

Citations per year, relative to Julio Silva-Rodríguez Julio Silva-Rodríguez (= 1×) peers Ruining Deng

Countries citing papers authored by Julio Silva-Rodríguez

Since Specialization

Citations

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

Fields of papers citing papers by Julio Silva-Rodríguez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julio Silva-Rodríguez. 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 Julio Silva-Rodríguez. The network helps show where Julio Silva-Rodríguez may publish in the future.

Co-authorship network of co-authors of Julio Silva-Rodríguez

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

All Works

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14 of 14 papers shown

Silva-Rodríguez, Julio, Geert J.L.H. van Leenders, Trygve Eftestøl, et al.. (2025). Self-contrastive weakly supervised learning framework for prognostic prediction using whole slide images. PLOS Digital Health. 4(9). e0000972–e0000972.

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

Silva-Rodríguez, Julio, et al.. (2024). A Foundation Language-Image Model of the Retina (FLAIR): encoding expert knowledge in text supervision. Medical Image Analysis. 99. 103357–103357. 24 indexed citations

Silva-Rodríguez, Julio, et al.. (2024). A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models. Espace ÉTS (ETS). 23681–23690. 8 indexed citations

Amor, Rocío del, Julio Silva-Rodríguez, & Valery Naranjo. (2023). Labeling confidence for uncertainty-aware histology image classification. Computerized Medical Imaging and Graphics. 107. 102231–102231. 6 indexed citations

Silva-Rodríguez, Julio, et al.. (2022). Proportion constrained weakly supervised histopathology image classification. Computers in Biology and Medicine. 147. 105714–105714. 7 indexed citations

Amor, Rocío del, et al.. (2022). Conditional Generative Adversarial Networks for Acoustic Echo Cancellation. 2022 30th European Signal Processing Conference (EUSIPCO). 85–89.

Silva-Rodríguez, Julio, et al.. (2022). Efficient Cancer Classification by Coupling Semi Supervised and Multiple Instance Learning. IEEE Access. 10. 9763–9773. 17 indexed citations

Silva-Rodríguez, Julio, Pablo Salvador Zuriaga, Valery Naranjo, & Ricardo Insa. (2022). Supervised contrastive learning-guided prototypes on axle-box accelerations for railway crossing inspections. Expert Systems with Applications. 207. 117946–117946. 6 indexed citations

10.

Silva-Rodríguez, Julio, Adrián Colomer, & Valery Naranjo. (2021). WeGleNet: A weakly-supervised convolutional neural network for the semantic segmentation of Gleason grades in prostate histology images. Computerized Medical Imaging and Graphics. 88. 101846–101846. 30 indexed citations

11.

Silva-Rodríguez, Julio, Adrián Colomer, José Dolz, & Valery Naranjo. (2021). Self-Learning for Weakly Supervised Gleason Grading of Local Patterns. IEEE Journal of Biomedical and Health Informatics. 25(8). 3094–3104. 27 indexed citations

12.

Silva-Rodríguez, Julio, et al.. (2020). Going deeper through the Gleason scoring scale: An automatic end-to-end system for histology prostate grading and cribriform pattern detection. Computer Methods and Programs in Biomedicine. 195. 105637–105637. 84 indexed citations

13.

Silva-Rodríguez, Julio. (2020). SICAPv2 - Prostate Whole Slide Images with Gleason Grades Annotations. Data Archiving and Networked Services (DANS). 2.

14.

Silva-Rodríguez, Julio, Adrián Colomer, Marcos Meseguer, & Valery Naranjo. (2019). Predicting the Success of Blastocyst Implantation from Morphokinetic Parameters Estimated through CNNs and Sum of Absolute Differences. 154. 1–5. 3 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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