Teresa Araújo

2.8k total citations · 1 hit paper
20 papers, 953 citations indexed

About

Teresa Araújo is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Artificial Intelligence. According to data from OpenAlex, Teresa Araújo has authored 20 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Ophthalmology and 8 papers in Artificial Intelligence. Recurrent topics in Teresa Araújo's work include Retinal Imaging and Analysis (13 papers), Retinal Diseases and Treatments (9 papers) and AI in cancer detection (6 papers). Teresa Araújo is often cited by papers focused on Retinal Imaging and Analysis (13 papers), Retinal Diseases and Treatments (9 papers) and AI in cancer detection (6 papers). Teresa Araújo collaborates with scholars based in Portugal, Austria and United States. Teresa Araújo's co-authors include Aurélio Campilho, Guilherme Aresta, Paulo Aguiar, António Polónia, Catarina Eloy, José Rouco, Eduardo Castro, Ana Maria Mendonc̨a, Susana Penas and Ângela Carneiro and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Teresa Araújo

18 papers receiving 917 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
Teresa Araújo Portugal	9	662	647	346	109	101	20	953
Guilherme Aresta Portugal	11	662 1.0×	681 1.1×	336 1.0×	106 1.0×	93 0.9×	23	979
Adrián Colomer Spain	16	323 0.5×	440 0.7×	293 0.8×	226 2.1×	27 0.3×	56	796
Sebastian Otálora Switzerland	14	293 0.4×	345 0.5×	200 0.6×	123 1.1×	21 0.2×	18	514
Chetan L. Srinidhi India	6	358 0.5×	368 0.6×	266 0.8×	119 1.1×	25 0.2×	7	602
Peyman Hosseinzadeh Kassani United States	10	222 0.3×	219 0.3×	171 0.5×	83 0.8×	46 0.5×	13	513
Haoyuan Chen China	14	506 0.8×	327 0.5×	253 0.7×	9 0.1×	66 0.7×	25	813
Shekoofeh Azizi United States	10	350 0.5×	333 0.5×	362 1.0×	12 0.1×	35 0.3×	25	876
Eduardo Castro Portugal	4	601 0.9×	458 0.7×	300 0.9×	6 0.1×	91 0.9×	10	728
Yanda Meng United Kingdom	11	252 0.4×	227 0.4×	230 0.7×	71 0.7×	22 0.2×	28	504
Shahzad Akbar Pakistan	16	227 0.3×	474 0.7×	318 0.9×	262 2.4×	205 2.0×	49	772

Countries citing papers authored by Teresa Araújo

Since Specialization

Citations

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

Fields of papers citing papers by Teresa Araújo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teresa Araújo

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

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.

Araújo, Teresa, et al.. (2024). VLFATRollout: Fully transformer-based classifier for retinal OCT volumes. Computerized Medical Imaging and Graphics. 118. 102452–102452. 2 indexed citations

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

Araújo, Teresa, et al.. (2024). Pretraining of 3D image segmentation models for retinal OCT using denoising-based self-supervised learning. Biomedical Optics Express. 15(9). 5025–5025. 2 indexed citations

Aresta, Guilherme, Teresa Araújo, Gregor S. Reiter, et al.. (2024). Deep Neural Networks for Automated Outer Plexiform Layer Subsidence Detection on Retinal OCT of Patients With Intermediate AMD. Translational Vision Science & Technology. 13(6). 7–7. 3 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

Penas, Susana, Teresa Araújo, Ana Maria Mendonc̨a, et al.. (2022). Retinal and choroidal vasoreactivity in central serous chorioretinopathy. Graefe s Archive for Clinical and Experimental Ophthalmology. 260(12). 3825–3836. 2 indexed citations

Araújo, Teresa, João Paulo Teixeira, & Pedro Rodrigues. (2022). Smart-Data-Driven System for Alzheimer Disease Detection through Electroencephalographic Signals. Bioengineering. 9(4). 141–141. 31 indexed citations

10.

Conde‐Sousa, Eduardo, Ming Feng, Kele Xu, et al.. (2022). HEROHE Challenge: Assessing HER2 Status in Breast Cancer Without Immunohistochemistry or <i>In Situ</i> Hybridization. SSRN Electronic Journal. 1 indexed citations

11.

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

12.

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

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.

Aresta, Guilherme, Carlos Ferreira, João Pedrosa, et al.. (2020). Automatic Lung Nodule Detection Combined With Gaze Information Improves Radiologists’ Screening Performance. IEEE Journal of Biomedical and Health Informatics. 24(10). 2894–2901. 15 indexed citations

15.

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

16.

Araújo, Teresa, et al.. (2019). Analysis of the performance of specialists and an automatic algorithm in retinal image quality assessment. 1–4. 7 indexed citations

17.

Araújo, Teresa, Ana Maria Mendonc̨a, & Aurélio Campilho. (2018). Parametric model fitting-based approach for retinal blood vessel caliber estimation in eye fundus images. PLoS ONE. 13(4). e0194702–e0194702. 8 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.

Araújo, Teresa, Ana Maria Mendonc̨a, & Aurélio Campilho. (2017). Estimation of retinal vessel caliber using model fitting and random forests. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10134. 101341K–101341K. 5 indexed citations

20.

Araújo, Teresa, Momen Abayazid, Matthieu Rutten, & Sarthak Misra. (2016). Segmentation and three‐dimensional reconstruction of lesions using the automated breast volume scanner (ABVS). International Journal of Medical Robotics and Computer Assisted Surgery. 13(3). 8 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.

Explore authors with similar magnitude of impact