Lior Drukker

Orcid: 0000-0002-5588-1410

According to our database1, Lior Drukker authored at least 39 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Memory-based unsupervised video clinical quality assessment with multi-modality data in fetal ultrasound.
Medical Image Anal., December, 2023

Gaze-probe joint guidance with multi-task learning in obstetric ultrasound scanning.
Medical Image Anal., December, 2023

A Machine Learning Method for Automated Description and Workflow Analysis of First Trimester Ultrasound Scans.
IEEE Trans. Medical Imaging, May, 2023

Show from Tell: Audio-Visual Modelling in Clinical Settings.
CoRR, 2023

Towards Standard Plane Prediction of Fetal Head Ultrasound with Domain Adaption.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

D2ANET: Densely Attentional-Aware Network for First Trimester Ultrasound CRL and NT Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Gaze-assisted automatic captioning of fetal ultrasound videos using three-way multi-modal deep neural networks.
Medical Image Anal., 2022

Task model-specific operator skill assessment in routine fetal ultrasound scanning.
Int. J. Comput. Assist. Radiol. Surg., 2022

Weakly Supervised Captioning of Ultrasound Images.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-modality Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

USPoint: Self-Supervised Interest Point Detection and Description for Ultrasound-Probe Motion Estimation During Fine-Adjustment Standard Fetal Plane Finding.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Multimodal-GuideNet: Gaze-Probe Bidirectional Guidance in Obstetric Ultrasound Scanning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Self-Knowledge Distillation for First Trimester Ultrasound Saliency Prediction.
Proceedings of the Simplifying Medical Ultrasound - Third International Workshop, 2022

End-to-End First Trimester Fetal Ultrasound Video Automated CRL And NT Segmentation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

First Trimester Video Saliency Prediction Using Clstmu-Net with Stochastic Augmentation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Skill, or Style? Classification of Fetal Sonography Eye-Tracking Data.
Proceedings of The 1st Gaze Meets ML workshop, 2022

Visualising Spatio-Temporal Gaze Characteristics for Exploratory Data Analysis in Clinical Fetal Ultrasound Scans.
Proceedings of the ETRA 2022: Symposium on Eye Tracking Research and Applications, Seattle, WA, USA, June 8, 2022

Skill Characterisation of Sonographer Gaze Patterns during Second Trimester Clinical Fetal Ultrasounds using Time Curves.
Proceedings of the ETRA 2022: Symposium on Eye Tracking Research and Applications, Seattle, WA, USA, June 8, 2022

Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
Knowledge representation and learning of operator clinical workflow from full-length routine fetal ultrasound scan videos.
Medical Image Anal., 2021

Machine learning-based analysis of operator pupillary response to assess cognitive workload in clinical ultrasound imaging.
Comput. Biol. Medicine, 2021

First Trimester Gaze Pattern Estimation Using Stochastic Augmentation Policy Search for Single Frame Saliency Prediction.
Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021

Visual-Assisted Probe Movement Guidance for Obstetric Ultrasound Scanning Using Landmark Retrieval.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Towards Scale and Position Invariant Task Classification Using Normalised Visual Scanpaths in Clinical Fetal Ultrasound.
Proceedings of the Simplifying Medical Ultrasound - Second International Workshop, 2021

Multimodal Continual Learning with Sonographer Eye-Tracking in Fetal Ultrasound.
Proceedings of the Simplifying Medical Ultrasound - Second International Workshop, 2021

Multi-Modal Learning from Video, Eye Tracking, and Pupillometry for Operator Skill Characterization in Clinical Fetal Ultrasound.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

A Course-Focused Dual Curriculum For Image Captioning.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
Evaluation of Gaze Tracking Calibration for Longitudinal Biomedical Imaging Studies.
IEEE Trans. Cybern., 2020

Spatio-temporal visual attention modelling of standard biometry plane-finding navigation.
Medical Image Anal., 2020

Differentiating Operator Skill During Routine Fetal Ultrasound Scanning Using Probe Motion Tracking.
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020

Self-Supervised Contrastive Video-Speech Representation Learning for Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Automatic Probe Movement Guidance for Freehand Obstetric Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

A Curriculum Learning Based Approach to Captioning Ultrasound Images.
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020

Self-Supervised Representation Learning for Ultrasound Video.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Discovering Salient Anatomical Landmarks by Predicting Human Gaze.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Efficient Ultrasound Image Analysis Models with Sonographer Gaze Assisted Distillation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Captioning Ultrasound Images Automatically.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Spatio-Temporal Partitioning And Description Of Full-Length Routine Fetal Anomaly Ultrasound Scans.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Ultrasound Image Representation Learning by Modeling Sonographer Visual Attention.
Proceedings of the Information Processing in Medical Imaging, 2019


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