Publications

(2020). VP40.20: Standard biometric planes: what are the salient anatomical landmarks?. Ultrasound Obstet Gynecol.

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(2020). OC10.11: The data science of obstetric ultrasound: automatic analysis of full‐length anomaly scans using machine learning algorithms. Ultrasound Obstet Gynecol.

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(2020). OC10.02: Task‐evoked pupillary response as an index of cognitive workload of sonologists undertaking fetal ultrasound. Ultrasound Obstet Gynecol.

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(2020). Unified Image and Video Saliency Modeling. ECCV 2020.

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(2020). Automatic Probe Movement Guidance for Freehand Obstetric Ultrasound. MICCAI 2020.

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(2020). Spatio-Temporal Visual Attention Modelling of Standard Biometry Plane-Finding Navigation. MIA 2020.

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(2020). Differentiating Operator Skill During Routine Fetal Ultrasound Scanning Using Probe Motion Tracking. MICCAI 2020.

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(2020). Safety Indices of Ultrasound: Adherence to Recommendations and Awareness During Routine Obstetric Ultrasound Scanning. Ultraschall Med..

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(2020). Self-supervised Representation Learning for Ultrasound Video. ISBI 2020.

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(2020). Discovering Salient Anatomical Landmarks by Predicting Human Gaze. ISBI 2020.

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(2019). Expected‐value bias in routine third‐trimester growth scans. Ultrasound Obstet Gynecol.

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(2019). OC19.02: A novel eye tracking study: how common is expected value bias in fetal growth scan assessment?. Ultrasound Obstet Gynecol.

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(2019). OC10.02: Bioeffects safety indices of ultrasound: quantifying adherence to recommendations on routine obstetric scan. Ultrasound Obstet Gynecol.

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(2019). Towards Capturing Sonographic Experience: Cognition-Inspired Ultrasound Video Saliency Prediction. MIUA 2019.

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(2019). Spatio-temporal Partitioning and Description of Full-length Routine Fetal Anomaly Ultrasound Scans. ISBI 2019.

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(2019). Ultrasound Image Representation Learning by Modeling Sonographer Visual Attention. IPMI 2019.

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(2015). An example journal article. Journal of Source Themes, 1(1).

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(2013). An example conference paper. In ICW.

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