Computational Imaging Research

Teresa Finisterra Araújo, PhD

Postdoctoral Researcher
Christian Doppler Laboratory for Artificial Intelligence in Retina
Department of Ophthalmology and Optometry
Medical University of Vienna
Email: teresa.safinisterraaraujo(at)meduniwien.ac.at
Phone: +43 1 40400 79750
Office:  Rektoratsgebäude (Building 88, floor 2, room 409)

Bio:

Teresa Araújo received the M.Sc. degree in bioengineering and biomedical engineering from the Faculty of the Engineering, University of Porto (FEUP), Porto, Portugal, in 2016. She obtained her PhD degree in electrical and computer engineering in 2021. For her thesis she worked on diabetic retinopathy grading in color eye fundus images. Since 2014, she has collaborated as a Researcher with the Biomedical Imaging Laboratory, Center for Biomedical Engineering Research (C-BER), Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), Porto. As of 2021 she has joined the Christian Doppler Laboratory for Artificial Intelligence in Retina as a postdoc researcher.

Research Interests:

– Computer-Aided Diagnosis
– Medical Image Analysis
– Computer Vision
– Machine Learning
– Deep Learning

Selected Publications:
Araújo, T., Aresta, G., Mendonça, L., Penas, S., Maia, C., et al.. DR|GRADUATE: Uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images. Medical Image Analysis, 63:101715, 7 2020c. Doi: 10.1016/j.media.2020.101715

Aresta, G., Araújo, T., Kwok, S., Chennamse.y, S. S., Safwan, M., et al. BACH: Grand challenge on breast cancer histology images. Medical Image Analysis, 56: 122–139, 2019d. doi: 10.1016/j.media.2019.05.010

Araújo, T., Aresta, G., Mendonc¸a, L., Penas, S., Maia, C., et al. Data Augmentation for Improving Proliferative Diabetic Retinopathy Detection in Eye Fundus Images. IEEE Access, 8:182462–182474, 2020b. Doi: 10.1109/ACCESS.2020.3028960

Araújo, T., Aresta, G., Castro, E., Rouco, J., Aguiar, P., et al. Classification of breast cancer histology images using Convolutional Neural Networks. PloS ONE, 12(6):e0177544, 2017a. doi: 10.1371/journal.pone.0177544