Posts by Collection

Artificial Intelligence Meets Marine Ecotoxicology: Applying Deep Learning to Bio-Optical Data from Marine Diatoms Exposed to Legacy and Emerging Contaminants

Published in Biology, 2021

Developing ML and DL models for detecting the presence of emerging contaminants

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A comparative study of automated deep learning segmentation models for prostate MRI

Published in Cancers, 2023

Evaluation of SOTA segmentation models for prostate whole gland and zone segmentation

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Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data

Published in Computers in Biology and Medicine, 2024

Developing domain-shift invariant models, regarding scanner manufacturer, for prostate whole gland, zone and lesion segmentation

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Impact of Scanner Manufacturer, Endorectal Coil Use, and Clinical Variables on Deep Learning–assisted Prostate Cancer Classification Using Multiparametric MRI

Published in Radiology: Artificial Intelligence, 2025

How different scanner manufacturers and the inclusion of endorectal coils images can affect the performance of 3D deep learning models for prostate cancer classification.

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Effective reduction of unnecessary biopsies through a deep-learning-assisted aggressive prostate cancer detector

Published in Nature: Scientific Reports, 2025

We developed a 3D aggressive lesion object detection model which can be used to detect and segment aggressive prostate cancer lesions, and recommend whether or not a biopsy is needed

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Assistant Professor

Bsc and Msc courses, NOVA IMS, 2020

Planning and lecturing the practical classes for the Computational Methods for Optimization bachelors course. Planning and lecturing the practical classes for the Neuroevolution masters course.

Supervision

Student Supervision, Faculty of Sciences, University of Lisbon; NOVA IMS, 1900

Un-official co-supervision of two master students and one PhD student