Introduction to artificial intelligence in ultrasound imaging in obstetrics and gynecology

Introduction to artificial intelligence in ultrasound imaging in obstetrics and gynecology

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Artificial intelligence (AI) uses data and algorithms to aim to draw conclusions as good as humans (or even better). AI is already a part of our daily life – it is behind face recognition, speech recognition in virtual assistants (like Amazon Alexa, Apple's Siri, Google Assistant, and Microsoft...

Bibliográfalaš dieđut
Váldodahkkit:	Drukker, L, Noble, JA, Papageorghiou, AT
Materiálatiipa:	Journal article
Giella:	English
Almmustuhtton:	Wiley 2020

Geahča maid

Introduction to artificial intelligence in ultrasound imaging in obstetrics and gynecology
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Almmustuhtton: (2021)

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Almmustuhtton: (2020)

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Function and safety of SlowflowHD ultrasound doppler in obstetrics
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Almmustuhtton: (2022)

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Multimodal-GuideNet: gaze-probe bidirectional guidance in obstetric ultrasound scanning
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Almmustuhtton: (2021)

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Dahkki: Drukker, L, et al.
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Almmustuhtton: (2019)

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Almmustuhtton: (2013)

Machine learning-based analysis of operator pupillary response to assess cognitive workload in clinical ultrasound imaging
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Almmustuhtton: (2018)

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Multi-modal learning from video, eye tracking, and pupillometry for operator skill characterization in clinical fetal ultrasound
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Almmustuhtton: (2004)

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Towards scale and position invariant task classification using normalised visual scanpaths in clinical fetal ultrasound
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D2ANET: Densely Attentional-Aware Network for first trimester ultrasound CRL and NT segmentation
Dahkki: Gridach, M, et al.
Almmustuhtton: (2023)

Self-supervised ultrasound to MRI fetal brain image synthesis
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Almmustuhtton: (2020)