# Ultrasonics

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/ultrasonics/

## Facts

| Field | Value |
| --- | --- |
| Open Access | false |
| ISSN-L | 0041-624X |
| ISSNs | 0041-624X,1874-9968 |
| OpenAlex ID | https://openalex.org/S168745376 |
| Publisher | Elsevier BV |

## Journal papers

- [Synthetic aperture ultrasound imaging](https://scholariq.org/papers/synthetic-aperture-ultrasound-imaging/)
- [A methodology for structural health monitoring with diffuse ultrasonic waves in the presence of temperature variations](https://scholariq.org/papers/a-methodology-for-structural-health-monitoring-with-diffuse-ultrasonic-waves-in/)
- [A pre-trained convolutional neural network based method for thyroid nodule diagnosis](https://scholariq.org/papers/a-pre-trained-convolutional-neural-network-based-method-for-thyroid-nodule/)
- [Ultrasonically assisted turning of aviation materials: simulations and experimental study](https://scholariq.org/papers/ultrasonically-assisted-turning-of-aviation-materials-simulations-and/)
- [Non-invasive automated 3D thyroid lesion classification in ultrasound: A class of ThyroScan™ systems](https://scholariq.org/papers/non-invasive-automated-3d-thyroid-lesion-classification-in-ultrasound-a-class-of/)
- [Robust segmentation of arterial walls in intravascular ultrasound images using Dual Path U-Net](https://scholariq.org/papers/robust-segmentation-of-arterial-walls-in-intravascular-ultrasound-images-using/)
- [Segmentation of arterial walls in intravascular ultrasound cross-sectional images using extremal region selection](https://scholariq.org/papers/segmentation-of-arterial-walls-in-intravascular-ultrasound-cross-sectional/)
- [Multiobjective optimization of an ultrasonic transducer using NIMBUS](https://scholariq.org/papers/multiobjective-optimization-of-an-ultrasonic-transducer-using-nimbus/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.