PhD candidate at INESC TEC


About Me

I am currently doing my Ph.D. at the Faculty of Engineering of the University of Porto, in Electrotechnical and Computers Engineering. I do my research work at INESC TEC in the Visual Computing and Machine Intelligence Group.

My research topic is the application of Computer Vision and Machine Learning techniques to Breast Cancer Diagnosis in Mammography. The ultimate goal is to contribute to attenuate the burden of this disease by developing accurate CAD systems usable in screening.

I also collaborate in other activities related to the field of Computer Vision, such as the VISUM Summer School (2018, 2019 and 2020) and the vCardID project for the development of a national fingerprint identification algorithm.

Deep Learning   •   Computer Vision   •   Medical Image Analysis


Soft Rotation Equivariant Convolutional Neural Networks (IJCNN 2020)  

Weight Rotation as a Regularization Strategy in Convolutional Neural Networks (EMBC 2019)  

Elastic deformations for data augmentation in breast cancer mass detection (BHI 2018)  

Publications in which I am co-author:

Deep Keypoint Detection for the Aesthetic Evaluation of Breast Cancer Surgery Outcomes (ISBI 2019)  

Classification of breast cancer histology images using Convolutional Neural Networks (PLOS ONE (2017))