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ORCIDHemaxi Narotamo
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2020 – today
- 2024
[j1]Hemaxi Narotamo
, Mariana Dias, Ricardo Santos, André V. Carreiro, Hugo Gamboa, Margarida Silveira:
Deep learning for ECG classification: A comparative study of 1D and 2D representations and multimodal fusion approaches. Biomed. Signal Process. Control. 93: 106141 (2024)- [c7]Diogo Moura, Hemaxi Narotamo, Margarida Silveira:
A CNN-GNN Approach for Polarity Vectors Prediction in 3D Microscopy Images. EMBC 2024: 1-4 - 2023
- [c6]Alice Rosa, Hemaxi Narotamo, Margarida Silveira:
Self-Supervised Segmentation of 3D Fluorescence Microscopy Images Using CycleGAN. EMBC 2023: 1-4 - 2022
- [c5]Hemaxi Narotamo, Marie Ouarné, Cláudio Areias Franco, Margarida Silveira:
Synthetic Generation of 3D Microscopy Images using Generative Adversarial Networks. EMBC 2022: 549-552 - 2021
- [c4]Hemaxi Narotamo, Marie Ouarné, Cláudio Areias Franco, Margarida Silveira:
Joint Segmentation and Pairing of Nuclei and Golgi in 3D Microscopy Images. EMBC 2021: 3017-3020 - 2020
- [c3]Hemaxi Narotamo, J. Miguel Sanches, Margarida Silveira:
Combining Deep Learning with Handcrafted Features for Cell Nuclei Segmentation *. EMBC 2020: 1428-1431 - [c2]Hemaxi Narotamo, Maria Sofia Fernandes, J. Miguel Sanches, Margarida Silveira:
Interphase Cell Cycle Staging using Deep Learning *. EMBC 2020: 1432-1435
2010 – 2019
- 2019
- [c1]Hemaxi Narotamo, J. Miguel Sanches, Margarida Silveira:
Segmentation of Cell Nuclei in Fluorescence Microscopy Images Using Deep Learning. IbPRIA (1) 2019: 53-64
Coauthor Index
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