Research output per year
Research output per year
Personal profile
Biography
I am a PhD Student in Biomedical Engineering. My work is focused in the development of deep learning based approaches for the analysis of 3D fluorescence microscopy images of mouse retinas. I’m highly motivated to enrich my knowledge in the field of machine learning, computer vision and medical image processing.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Keywords
- QA76 Computer software
- Engineering
- Deep Learning
- Mouse Retinas
- Microscopy Images
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Collaborations and top research areas from the last five years
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3DCellPol: joint detection and pairing of cell structures to compute cell polarity
Narotamo, H., Franco, C. A. & Silveira, M., Jun 2025, In: Biomedical Signal Processing and Control. 104, 22 p., 107537.Research output: Contribution to journal › Article › peer-review
Open AccessFile9 Downloads -
3DVascNet: an automated software for segmentation and quantification of mouse vascular networks in 3D
Narotamo, H., Silveira, M. & Franco, C. A., Jul 2024, In: Arteriosclerosis, Thrombosis, and Vascular Biology. 44, 7, p. 1584-1600 17 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)38 Downloads -
Detection and measurement of butterfly eyespot and spot patterns using convolutional neural networks
Cunha, C., Narotamo, H., Monteiro, A. & Silveira, M., 13 Feb 2023, In: PLoS one. 18, 2 February, e0280998.Research output: Contribution to journal › Article › peer-review
Open Access -
Synthetic generation of 3D microscopy images using generative adversarial networks
Narotamo, H., Ouarné, M., Franco, C. A. & Silveira, M., 2022, 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022. Institute of Electrical and Electronics Engineers Inc., p. 549-552 4 p. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; vol. 2022-July).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Citations (Scopus) -
A machine learning approach for single cell interphase cell cycle staging
Narotamo, H., Fernandes, M. S., Moreira, A. M., Melo, S., Seruca, R., Silveira, M. & Sanches, J. M., 29 Sept 2021, In: Scientific Reports. 11, 13 p., 19278.Research output: Contribution to journal › Article › peer-review
Open AccessFile7 Citations (Scopus)10 Downloads