Guilherme Aresta

2.6k total citations · 1 hit paper
23 papers, 979 citations indexed

About

Guilherme Aresta is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Artificial Intelligence. According to data from OpenAlex, Guilherme Aresta has authored 23 papers receiving a total of 979 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Ophthalmology and 8 papers in Artificial Intelligence. Recurrent topics in Guilherme Aresta's work include Retinal Imaging and Analysis (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and AI in cancer detection (7 papers). Guilherme Aresta is often cited by papers focused on Retinal Imaging and Analysis (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and AI in cancer detection (7 papers). Guilherme Aresta collaborates with scholars based in Portugal, Austria and Iran. Guilherme Aresta's co-authors include Aurélio Campilho, Teresa Araújo, António Polónia, Catarina Eloy, Paulo Aguiar, José Rouco, Eduardo Castro, Ana Maria Mendonc̨a, Ângela Carneiro and Susana Penas and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Guilherme Aresta

20 papers receiving 943 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Classification of breast cancer histology images using Convolutional Neural Networks

2017 648 citations Teresa Araújo, Guilherme Aresta et al. PLoS ONE profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guilherme Aresta Portugal	11	681	662	336	106	93	23	979
Teresa Araújo Portugal	9	647 1.0×	662 1.0×	346 1.0×	109 1.0×	101 1.1×	20	953
Adrián Colomer Spain	16	440 0.6×	323 0.5×	293 0.9×	226 2.1×	27 0.3×	56	796
Sebastian Otálora Switzerland	14	345 0.5×	293 0.4×	200 0.6×	123 1.2×	21 0.2×	18	514
Mei Zhou China	17	404 0.6×	266 0.4×	449 1.3×	72 0.7×	43 0.5×	68	1.1k
Georgios C. Manikis Greece	15	489 0.7×	136 0.2×	110 0.3×	132 1.2×	69 0.7×	65	795
Huangjing Lin Hong Kong	11	468 0.7×	560 0.8×	280 0.8×	12 0.1×	43 0.5×	20	805
Benoît Schmauch France	8	448 0.7×	370 0.6×	69 0.2×	26 0.2×	26 0.3×	14	763
Chetan L. Srinidhi India	6	368 0.5×	358 0.5×	266 0.8×	119 1.1×	25 0.3×	7	602
Abhishek Vahadane India	8	590 0.9×	1.0k 1.5×	708 2.1×	19 0.2×	76 0.8×	10	1.3k
Jonas Teuwen Netherlands	15	962 1.4×	671 1.0×	120 0.4×	13 0.1×	58 0.6×	62	1.4k

Countries citing papers authored by Guilherme Aresta

Since Specialization

Citations

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

Fields of papers citing papers by Guilherme Aresta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guilherme Aresta

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

Aresta, Guilherme, Dmitrii Lachinov, Sophie Riedl, et al.. (2025). SD-LayerNet: Robust and label-efficient retinal layer segmentation via anatomical priors. Computer Methods and Programs in Biomedicine. 261. 108586–108586. 2 indexed citations

Aresta, Guilherme, Teresa Araújo, Ursula Schmidt‐Erfurth, & Hrvoje Bogunović. (2025). Anomaly Detection in Retinal OCT Images With Deep Learning-Based Knowledge Distillation. Translational Vision Science & Technology. 14(3). 26–26.

Aresta, Guilherme, et al.. (2024). Interactive Deep Learning-Based Retinal OCT Layer Segmentation Refinement by Regressing Translation Maps. IEEE Access. 12. 47009–47023. 2 indexed citations

Aresta, Guilherme, et al.. (2024). Deep Multimodal Fusion of Data With Heterogeneous Dimensionality via Projective Networks. IEEE Journal of Biomedical and Health Informatics. 28(4). 2235–2246. 4 indexed citations

Araújo, Teresa, Guilherme Aresta, Ursula Schmidt‐Erfurth, & Hrvoje Bogunović. (2023). Few-shot out-of-distribution detection for automated screening in retinal OCT images using deep learning. Scientific Reports. 13(1). 16231–16231. 9 indexed citations

Conde‐Sousa, Eduardo, Ming Feng, Kele Xu, et al.. (2022). HEROHE Challenge: Predicting HER2 Status in Breast Cancer from Hematoxylin–Eosin Whole-Slide Imaging. Journal of Imaging. 8(8). 213–213. 25 indexed citations

Pedrosa, João, Guilherme Aresta, Carlos Ferreira, et al.. (2022). Assessing clinical applicability of COVID-19 detection in chest radiography with deep learning. Scientific Reports. 12(1). 6596–6596. 5 indexed citations

Lachinov, Dmitrii, et al.. (2022). Segmentation of Bruch's Membrane in Retinal OCT With AMD Using Anatomical Priors and Uncertainty Quantification. IEEE Journal of Biomedical and Health Informatics. 27(1). 41–52. 19 indexed citations

Pedrosa, João, Guilherme Aresta, Carlos Ferreira, Ana Maria Mendonc̨a, & Aurélio Campilho. (2022). Automatic Label Detection in Chest Radiography Images. 63–69. 1 indexed citations

10.

Araújo, Teresa, Guilherme Aresta, Luís Mendonça, et al.. (2020). DR|GRADUATE: Uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images. Medical Image Analysis. 63. 101715–101715. 95 indexed citations

11.

Araújo, Teresa, Guilherme Aresta, Luís Mendonça, et al.. (2020). Data Augmentation for Improving Proliferative Diabetic Retinopathy Detection in Eye Fundus Images. IEEE Access. 8. 182462–182474. 43 indexed citations

12.

Ferreira, Carlos, Guilherme Aresta, João Pedrosa, et al.. (2020). Classification of Lung Nodules in CT Volumes Using the Lung-RADS™ Guidelines with Uncertainty Parameterization. 791–794.

13.

Polónia, António, Daniel Pinto, Rita Canas‐Marques, et al.. (2020). Artificial Intelligence Improves the Accuracy in Histologic Classification of Breast Lesions. American Journal of Clinical Pathology. 155(4). 527–536. 22 indexed citations

14.

Costa, Pedro, Teresa Araújo, Guilherme Aresta, et al.. (2019). EyeWeS: Weakly Supervised Pre-Trained Convolutional Neural Networks for Diabetic Retinopathy Detection. TECNALIA Publications (Fundación TECNALIA Research & Innovation). 1–6. 25 indexed citations

15.

Ferreira, Carlos, Guilherme Aresta, A. Cunha, Ana Maria Mendonc̨a, & Aurélio Campilho. (2019). Wide Residual Network for Lung-Rads™ Screening Referral. 1–4. 4 indexed citations

16.

Cunha, A., et al.. (2018). An unsupervised metaheuristic search approach for segmentation and volume measurement of pulmonary nodules in lung CT scans. Expert Systems with Applications. 119. 415–428. 24 indexed citations

17.

Aresta, Guilherme, et al.. (2018). Radiologists' Gaze Characterization During Lung Nodule Search in Thoracic CT. 5372. 1–7. 2 indexed citations

18.

Araújo, Teresa, Guilherme Aresta, Eduardo Castro, et al.. (2017). Classification of breast cancer histology images using Convolutional Neural Networks. PLoS ONE. 12(6). e0177544–e0177544. 648 indexed citations breakdown →

19.

Aresta, Guilherme, A. Cunha, & Aurélio Campilho. (2017). Detection of juxta-pleural lung nodules in computed tomography images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10134. 101343N–101343N. 16 indexed citations

20.

Costa‐Almeida, Raquel, M. Jamie Ferreira, Guilherme Aresta, et al.. (2016). Effects of hypergravity on the angiogenic potential of endothelial cells. Journal of The Royal Society Interface. 13(124). 20160688–20160688. 14 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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