Found: 10
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A multitask deep learning approach for pulmonary embolism detection and identification.
- Published in:
- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-16976-9
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- Article
A multitask deep learning approach for pulmonary embolism detection and identification.
- Published in:
- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-16976-9
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- Publication type:
- Article
Secure human action recognition by encrypted neural network inference.
- Published in:
- Nature Communications, 2022, v. 13, n. 1, p. 1, doi. 10.1038/s41467-022-32168-5
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- Article
Early Detection of Pancreatic Intraepithelial Neoplasias (PanINs) in Transgenic Mouse Model by Hyperpolarized 13C Metabolic Magnetic Resonance Spectroscopy.
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- International Journal of Molecular Sciences, 2020, v. 21, n. 10, p. 3722, doi. 10.3390/ijms21103722
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- Article
aBnormal motION capture In aCute Stroke (BIONICS): A Low-Cost Tele-Evaluation Tool for Automated Assessment of Upper Extremity Function in Stroke Patients.
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- Neurorehabilitation & Neural Repair, 2023, v. 37, n. 9, p. 591, doi. 10.1177/15459683231184186
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- Article
A two‐step approach to detect and understand dismisinformation events occurring in social media: A case study with critical times.
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- Journal of Contingencies & Crisis Management, 2023, v. 31, n. 4, p. 826, doi. 10.1111/1468-5973.12483
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- Article
Predicting multiple sclerosis severity with multimodal deep neural networks.
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- BMC Medical Informatics & Decision Making, 2023, v. 23, n. 1, p. 1, doi. 10.1186/s12911-023-02354-6
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- Article
Non-invasive arterial blood pressure measurement and SpO<sub>2</sub> estimation using PPG signal: a deep learning framework.
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- BMC Medical Informatics & Decision Making, 2023, v. 23, n. 1, p. 1, doi. 10.1186/s12911-023-02215-2
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- Article
Use of the deep learning approach to measure alveolar bone level.
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- Journal of Clinical Periodontology, 2022, v. 49, n. 3, p. 260, doi. 10.1111/jcpe.13574
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- Article
Hadoop-based replica exchange over heterogeneous distributed cyberinfrastructures.
- Published in:
- Concurrency & Computation: Practice & Experience, 2017, v. 29, n. 4, p. n/a, doi. 10.1002/cpe.3878
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- Article