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Mariana Dias

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2020 – today

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2024
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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)
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Mariana Dias, Phillip Probst, Luís Silva, Hugo Gamboa:
Cleaning ECG with Deep Learning: A Denoiser Tested in Industrial Settings. SN Comput. Sci. 5(6): 699 (2024)
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Dania Furk, Luís Silva, Mariana Dias, Phillip Probst, Hugo Gamboa:
Cardiorespiratory Adaptations to Work Volume on an Automobile Assembly Line. BIOSTEC (1) 2024: 71-81
[c4]
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Mariana Dias, Pedro Coelho, Rui Figueiredo, Rita Carvalho, Verónica Orvalho, Alexis Roche:
Creating Infinite Characters From a Single Template: How Automation May Give Super Powers to 3D Artists. SIGGRAPH Talks 2024: 47
2023
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Mariana Dias, Carla Teixeira Lopes:
Optimization of Image Processing Algorithms for Character Recognition in Cultural Typewritten Documents. ACM Journal on Computing and Cultural Heritage 16(4): 77:1-77:25 (2023)
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Mariana Dias, Phillip Probst, Luís Silva, Hugo Gamboa:
Cleaning ECG with Deep Learning: A Denoiser Based on Gated Recurrent Units. DoCEIS 2023: 149-160
[i1]
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Mariana Dias, Carla Teixeira Lopes:
Optimization of Image Processing Algorithms for Character Recognition in Cultural Typewritten Documents. CoRR abs/2311.15740 (2023)
2022
[j1]
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Luís Silva, Mariana Dias, Duarte Folgado, Maria Nunes, Praneeth Namburi, Brian Anthony, Diogo Carvalho, Miguel A. F. Carvalho, Elazer Edelman, Hugo Gamboa:
Respiratory Inductance Plethysmography to Assess Fatigability during Repetitive Work. Sensors 22(11): 4247 (2022)
[c2]
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Mariana Dias, Carla Teixeira Lopes:
Mining Typewritten Digital Representations to Support Archival Description. TPDL Workshops 2022: 70-76

2010 – 2019

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2019
[c1]
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Mariana Dias, Beatriz Rocha, João F. Teixeira, Hélder P. Oliveira:
Automatic Sternum Segmentation in Thoracic MRI. EMBC 2019: 1018-1021

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