Publications by authors named "Maysa M G Macedo"
Determination of the pubertal growth spurt by artificial intelligence analysis of cervical vertebrae maturation in lateral cephalometric radiographs.
Oral Surg Oral Med Oral Pathol Oral Radiol
August 2024
Article Synopsis
- - The study investigated how effectively a convolutional neural network (CNN) could identify pubertal growth spurts by examining cervical vertebrae maturation in lateral cephalometric radiographs (LCRs).
- - Researchers analyzed 600 LCRs and had radiologists classify the maturation stages, which were then compared to the CNN model's performance across multiple architectures.
- - The Inception-v3 CNN showed a 74-75% accuracy rate with varying success based on the complexity of cases, indicating it could serve as a helpful tool for clinicians assessing patients' growth spurts.
The stochastic synthesis of extreme, rare climate scenarios is vital for risk and resilience models aware of climate change, directly impacting society in different sectors. However, creating high-quality variations of under-represented samples remains a challenge for several generative models. This paper investigates quantizing reconstruction losses for helping variational autoencoders (VAE) better synthesize extreme weather fields from conventional historical training sets.
View Article and Find Full Text PDFIntravascular optical coherence tomography (IV-OCT) is an in-vivo imaging modality based on the intravascular introduction of a catheter which provides a view of the inner wall of blood vessels with a spatial resolution of 10-20 μm. Recent studies in IV-OCT have demonstrated the importance of the bifurcation regions. Therefore, the development of an automated tool to classify hundreds of coronary OCT frames as bifurcation or nonbifurcation can be an important step to improve automated methods for atherosclerotic plaques quantification, stent analysis and co-registration between different modalities.
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